was read the article
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"cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Thirteen treated of acute renal failure secondary to multiple myeloma with high cut off filters" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "418" "paginaFinal" => "426" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Trece tratamientos de la insuficiencia renal aguda secundaria a mieloma múltiple con filtros de <span class="elsevierStyleItalic">high cut off</span>" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Ana Berni Wennekers, María Pilar Martín Azara, Victoria Dourdil Sahun, Beatriz Bergasa Liberal, José Esteban Ruiz Laiglesia, Patricia Vernet Perna, Rafael Alvarez Lipe" "autores" => array:7 [ 0 => 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Tools for chronic kidney disease" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "427" "paginaFinal" => "432" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Montserrat Martínez-Pineda, Cristina Yagüe-Ruiz, Alberto Caverni-Muñoz, Antonio Vercet-Tormo" "autores" => array:4 [ 0 => array:3 [ "nombre" => "Montserrat" "apellidos" => "Martínez-Pineda" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "Cristina" "apellidos" => "Yagüe-Ruiz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Alberto" "apellidos" => "Caverni-Muñoz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:4 [ "nombre" => "Antonio" "apellidos" => "Vercet-Tormo" "email" => array:1 [ 0 => "vercet@unizar.es" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Departamento de Producción Animal y Ciencia de los Alimentos, Facultad de Ciencias de la Salud y del Deporte, Universidad de Zaragoza, Huesca, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Nutrición y Dietética, Alcer Ebro, Zaragoza, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Reducción del contenido de potasio de las judías verdes y las acelgas mediante el procesado culinario. Herramientas para la enfermedad renal crónica" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Patients with chronic kidney disease (CKD) often have associated complications such as hyperkalemia or an increased risk of cardiovascular disease, which are in turn associated with an increased risk of mortality.<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">1–4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">As a result, patients with CKD have specific nutritional requirements. Intake of potassium, should be limited to 1500–2000<span class="elsevierStyleHsp" style=""></span>mg/day,<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">5,6</span></a> according to the stage of the disease and the specific situation of each patient.</p><p id="par0015" class="elsevierStylePara elsevierViewall">To prevent hyperkalemia, patients should follow a diet low in potassium,<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">3</span></a> avoiding foods with a high natural potassium content, or those containing additives with potassium salts. Due to their high mineral, especially potassium, content, CKD patients must reduce the incorporation into their diet of many types of vegetables, among them green beans or green leafy vegetables.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In order to achieve the maximum reduction in the potassium content of these foods, nutritional and dietary guidelines for CKD<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">7–9</span></a> recommend presoaking the vegetables for a period of 12 and 24<span class="elsevierStyleHsp" style=""></span>h, with at least one exchange of water, and then double cooking with plenty of water. The double cooking technique consists in placing the vegetables in a pot with water at room temperature and then boil them. Once it begins to boil, remove the vegetables and place them in another pot with already boiling water and end the cooking there.</p><p id="par0025" class="elsevierStylePara elsevierViewall">There are also other recommendations such as cutting them into small pieces, as small as possible and discarding the cooking broth. These recommendations are based on the loss of potassium and other soluble minerals in food due to passing it through cooking water.</p><p id="par0030" class="elsevierStylePara elsevierViewall">These recommendations are frequently found in the guides provided to patients with CKD, but there are very few scientific studies that demonstrate the effectiveness of these methods, which are also long and laborious.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">10–12</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">The primary objective of this work is to analyze the reduction in potassium content of several fresh and processed vegetable products, the consumption of which is limited for patients with CKD, such as green beans, chard, mixed and diced vegetables, after subjecting them to soaking and different types of cooking. Because of the scant scientific evidence on the effectiveness of the recommendations usually provided to patients with CKD, this paper aims to test and compare different cooking techniques in order to optimize them, to try to increase the variety and the number of vegetable servings, and provide tools to professionals who deal with these kinds of patients.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Materials and method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Materials</span><p id="par0040" class="elsevierStylePara elsevierViewall">3 types of green beans were studied: fresh, frozen and canned. The fresh flat beans (<span class="elsevierStyleItalic">Phaseolus vulgaris var. perona</span>) were grown in Almeria (Spain) and acquired from a distributor, while the frozen beans were purchased at a local supermarket. Prior to the various treatments, the fresh beans were washed and cut into 4<span class="elsevierStyleHsp" style=""></span>cm-long pieces. The frozen samples were thawed before applying any treatment.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Fresh, frozen and canned chard were also studied. The canned and frozen samples were purchased at a local supermarket, while the fresh samples, grown in Zaragoza (Spain), were purchased from a local distributor. Due to their large structural differences, stalk and leaf were studied separately. Before the different treatments, fresh chard leaves and stalks were separated and cut into 2<span class="elsevierStyleHsp" style=""></span>cm strips.</p><p id="par0050" class="elsevierStylePara elsevierViewall">In order to compare the efficacy of domestic freezing, both green beans and chard, already washed and cut, were frozen at −18<span class="elsevierStyleHsp" style=""></span>°C in a domestic freezer for one month. They were subsequently treated in a similar manner to the industrially frozen samples.</p><p id="par0055" class="elsevierStylePara elsevierViewall">In addition, 4 different brands of frozen mixed vegetables and diced vegetable salad were analyzed.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Method</span><p id="par0060" class="elsevierStylePara elsevierViewall">5 different culinary techniques were studied: soaking; soaking followed by normal cooking (S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>NC); soaking followed by double cooking (S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC); normal cooking (NC); double cooking (DC). For all the techniques low mineralization natural mineral water was used.</p><p id="par0065" class="elsevierStylePara elsevierViewall">The soaking was carried out at refrigeration temperatures for 12<span class="elsevierStyleHsp" style=""></span>h with a change of water at 4<span class="elsevierStyleHsp" style=""></span>h. Cooking times were adjusted to each product studied. For green beans 15<span class="elsevierStyleHsp" style=""></span>min; 4<span class="elsevierStyleHsp" style=""></span>min for chard leaves; 10<span class="elsevierStyleHsp" style=""></span>min for chard stalks. In NC the sample was added to boiling water while in DC time started counting when adding the sample to the second pot of boiling water.</p><p id="par0070" class="elsevierStylePara elsevierViewall">The diced vegetable salad and mixed vegetables were cooked following the manufacturer's instructions. One NC was applied for 8<span class="elsevierStyleHsp" style=""></span>min, pouring the product without thawing. Canned samples, since it is a product ready for consumption, were not subjected to any treatment, only their potassium content was analyzed after washing them to remove excess canning liquid rich in salts. In all cases studied, the 100<span class="elsevierStyleHsp" style=""></span>g/1.5<span class="elsevierStyleHsp" style=""></span>L ratio was maintained for both soaking and cooking.</p><p id="par0075" class="elsevierStylePara elsevierViewall">Each treatment was performed in triplicate and each sample was in turn analyzed in triplicate.</p><p id="par0080" class="elsevierStylePara elsevierViewall">The potassium content was determined by flame photometry, following a validated method of analysis. Potassium contents are expressed in mg/100<span class="elsevierStyleHsp" style=""></span>g of edible portion (EP).</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0085" class="elsevierStylePara elsevierViewall">Statistical differences in the potassium content after application of the 5 culinary techniques for each type of sample were established by analysis of variance (ANOVA) and Tukey's test. <span class="elsevierStyleItalic">p</span>-Values <0.05 were considered statistically significant differences. Different statistical analyzes were performed using the GraphPad Prism 5 <span class="elsevierStyleItalic">software</span> (GraphPad Software, Inc., San Diego, CA, USA).</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Green bean pod</span><p id="par0090" class="elsevierStylePara elsevierViewall">A loss of potassium was observed after application of the different culinary processes both for fresh and frozen green beans. The observed effect was greater in the latter. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the final potassium content (mg/100<span class="elsevierStyleHsp" style=""></span>g EP) of the different types of green beans, and the percentage of loss due to each type of culinary process.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">In fresh green beans a reduction of 14.49% in the potassium content due to soaking was observed, with values of 147.95<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP. Cooking was also able to reduce the potassium to final contents of around 110<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP, without significant differences between applying a NC or a DC. It should be noted that in the fresh green beans an additive effect of soaking and cooking was also observed, which was not observed in the frozen green beans, which reduced the content to 75<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP. In the case of the home frozen green beans a similar behavior to those industrially frozen was observed, regardless of the type of culinary process applied.</p><p id="par0100" class="elsevierStylePara elsevierViewall">While freezing alone does not affect the potassium content, it does promote loss during application of the studied culinary processes. In the case of industrially frozen green beans, soaking after freezing showed being very effective, by managing to reduce the content to 6.19<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP, representing a loss of almost 93%. Both NC and DC applied after freezing also achieved, although to a lesser degree than soaking, significant reductions in the potassium content to values of 44.97 and 25.41<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP, respectively. The greatest losses were observed in frozen green beans treated by soaking prior to cooking, where virtually all present potassium was lost: values lower than 5<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP remained.</p><p id="par0105" class="elsevierStylePara elsevierViewall">The potassium content of canned green beans is shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. Values ranged between 78.70 and 125.76<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP. Greater variability was observed in the potassium content between brands of round green beans. On the other hand, the potassium content of canned flat green beans was similar to that obtained in fresh green beans after applying a soaking and subsequent cooking.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Chard</span><p id="par0110" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the potassium contents (mg/100<span class="elsevierStyleHsp" style=""></span>g EP) and the percentage of loss due to each type of culinary process, for both chard leaf and stalk, fresh and frozen.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">In fresh chard, the initial content of leaf and stalk is similar and high, however, greater losses were observed in the leaf regardless of the type of culinary treatment applied.</p><p id="par0120" class="elsevierStylePara elsevierViewall">In the fresh chard leaf no significant differences were observed between applying DC, S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>NC or S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC, achieving contents lower than 85<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP. However, in the fresh stalk none of the treatments applied achieved significant reductions: the maximum losses were around 30% after applying S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>NC or S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC.</p><p id="par0125" class="elsevierStylePara elsevierViewall">Freezing prior to cooking proved effective, as in the green beans, with increased losses for each type of treatment with respect to fresh produce, both in leaf and stalk. The application of soaking after freezing accounted for about 70% more loss than when applied on fresh produce: contents of 25.28 and 33.57<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP were reached in leaf and stalk, respectively, with losses even more marked if cooking was subsequently applied.</p><p id="par0130" class="elsevierStylePara elsevierViewall">The little effectiveness in reducing potassium of the different treatments observed in fresh stalk was improved when subjected to freezing. It should be noted how the sole application of a DC managed to reduce the potassium content to values around 90<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Unlike green beans, losses due to different treatments in industrially frozen chard leaves were higher than in home frozen chard. This is surely due to the type of cut used in industrial freezing being smaller than that employed in home freezing.</p><p id="par0140" class="elsevierStylePara elsevierViewall">The potassium content of the different types and brands of canned produce is seen in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. The content was very variable between different brands. They were similar in leaf and stalk in canned whole chard. On the other hand, canned stalks also showed high potassium contents, but no higher than those found in some brands of whole chard.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Diced vegetable salad and mixed vegetables</span><p id="par0145" class="elsevierStylePara elsevierViewall">The initial potassium contents and final contents after NC of frozen diced vegetable salad and mixed vegetable samples are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0150" class="elsevierStylePara elsevierViewall">While in both types of product great initial variability in potassium content between different brands were observed, they were higher in diced vegetable salad than in mixed vegetables. However, the loss percentages were also higher in almost all cases in diced vegetable salad, which reached final maximum levels of 100<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP.</p><p id="par0155" class="elsevierStylePara elsevierViewall">NC in mixed vegetables reduced the potassium content between 22 and 48%; the lowest content achieved was 68.13<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP.</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0160" class="elsevierStylePara elsevierViewall">The initial potassium content found in samples of green beans and raw chard, both fresh and frozen, were lower than those provided by the Spanish composition tables,<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">13–15</span></a> whose data vary between 243 and 280<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP in green beans, and between 378 and 550<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP in chard. These differences in mineral composition may be due to many factors, such as the variety or the degree of development of the plant at its harvest, among others. However, none of these factors is usually specified in the tables. On the other hand, none of the queried tables showed values concerning the frozen diced vegetable salad, and in only one of them a value 130<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP was reached for the potassium content of frozen mixed vegetables.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">13</span></a> This value was lower than that observed in this study, probably due to the variety of vegetables present in the mixed vegetables.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Regardless of the type of culinary process applied, in all samples tested a loss of potassium was observed to a greater or lesser degree. Soaking showed a positive effect in all cases. In previous work in tubers, soaking prior to cooking posed no loss of potassium,<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">11,12,16</span></a> while other studies in broccoli or carrots also showed a positive effect.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">17</span></a> These contradictory results are probably due to structural differences between the foods under study, since the percentage of loss depends on several factors, such as the type of vegetable and its morphological structure.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">18</span></a> This study has also observed how the structural differences between chard leaf and stalk may have been responsible for the different responses to the treatments studied, affecting their effectiveness.</p><p id="par0170" class="elsevierStylePara elsevierViewall">There are few studies analyzing the efficacy of DC, and only applied to tubers. The results of our study show in many cases the lack of significant differences between NC and DC, both in green beans and chard, especially when applied after soaking. This is probably due to the high product/water ratio used, 100<span class="elsevierStyleHsp" style=""></span>g product/1.5<span class="elsevierStyleHsp" style=""></span>L water. However, it should be noted that one of the recommendations provided in the guidelines is cooking in plenty of water.</p><p id="par0175" class="elsevierStylePara elsevierViewall">The results obtained in this study also confirm that freezing prior to cooking carries increased mineral loss,<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">18–20</span></a> probably due to cell damage caused by ice crystals. The results of this study have shown how prior freezing may be a useful strategy to reduce the potassium content to more than acceptable levels for people with CKD, as in the case of chard stalks, in which, only with that preprocessing, potassium levels of less than 100<span class="elsevierStyleHsp" style=""></span>mg/100<span class="elsevierStyleHsp" style=""></span>g EP have been achieved, values that were not e achieved with cooking fresh stalks. Soaking also showed to be much more effective when applied to frozen produce, with such low values that they did not require subsequent aqueous medium cooking. This would allow the possible application of other culinary preparations, such as sauteed, without lengthening the cooking time.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conclusion</span><p id="par0180" class="elsevierStylePara elsevierViewall">The results obtained in this study confirm that the processing and cooking of these vegetables in these working conditions allow reducing their potassium content to acceptable levels, which would allow their inclusion in the diet of patients with CKD. Furthermore, it has been observed that, in most cases studied, the sole application of a NC in frozen foods would be sufficient to achieve the desired potassium content loss. The results shown in this study are very positive, because they offer different possibilities for culinary preparation suitable for CKD, many of them with less preparation time than suggested in the recommendations of the dietary guidelines for CKD, which would allow adapting to patient preferences.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Funding</span><p id="par0185" class="elsevierStylePara elsevierViewall">This work has been funded by: <span class="elsevierStyleGrantSponsor" id="gs1">Federación Nacional ALCER</span> [ALCER National Federation], Project OTRI 2011/0573, <span class="elsevierStyleGrantSponsor" id="gs2">Grupos Consolidados de Investigación</span> [Consolidated Research Groups], <span class="elsevierStyleGrantSponsor" id="gs3">DGA</span> (T41/2012 and A01/2012) and the <span class="elsevierStyleGrantSponsor" id="gs4">Fondo Social Europeo</span> [European Social Fund].</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflicts of interest</span><p id="par0190" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres767413" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec768563" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres767412" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec768562" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and method" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Materials" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0030" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0035" "titulo" => "Green bean pod" ] 1 => array:2 [ "identificador" => "sec0040" "titulo" => "Chard" ] 2 => array:2 [ "identificador" => "sec0045" "titulo" => "Diced vegetable salad and mixed vegetables" ] ] ] 7 => array:2 [ "identificador" => "sec0050" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0055" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0060" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0065" "titulo" => "Conflicts of interest" ] 11 => array:2 [ "identificador" => "xack256632" "titulo" => "Acknowledgments" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-06-08" "fechaAceptado" => "2016-03-25" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec768563" "palabras" => array:8 [ 0 => "Chronic kidney disease" 1 => "Hyperkalemia" 2 => "Potassium reduction" 3 => "Food processing" 4 => "Soaking" 5 => "Double cooking" 6 => "Dietary guidelines" 7 => "Vegetables" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec768562" "palabras" => array:8 [ 0 => "Enfermedad renal crónica" 1 => "Hiperpotasemia" 2 => "Reducción de potasio" 3 => "Procesado de alimentos" 4 => "Remojo" 5 => "Doble cocción" 6 => "Guías alimentarias" 7 => "Verduras" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">In order to prevent a possible hyperkalemia, chronic renal patients, especially in advanced stages, must follow a low potassium diet. So dietary guidelines for chronic kidney disease recommend limiting the consumption of many vegetables, as well as to apply laborious culinary techniques to maximize the reduction of potassium.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The aim of this work is to analyze potassium content from several vegetable, fresh products, frozen and preserved, as well as check and compare the effectiveness in potassium reduction of different culinary processes, some of them recommended in dietary guidelines such as soaking or double cooking.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Sample potassium content was analyzed by triplicate using flamephotometry.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The results showed significant reductions in potassium content in all culinary processes studied. The degree of loss varied depending on the type of vegetable and processing applied. Frozen products achieved greater reductions than the fresh ones, obtaining in some cases losses greater than 90%. In addition, it was observed how in many cases the single application of a normal cooking reached potassium reductions to acceptable levels for its inclusion in renal patient diet.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">The results shown in this study are very positive because they provide tools for professionals who deal with this kind of patients. They allow them to adapt more easily to the needs and preferences of their patients and increase dietary variety.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducción</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Con el fin de prevenir una posible hiperpotasemia, los enfermos renales crónicos, especialmente en fases avanzadas, deben seguir una dieta baja en potasio. Para ello, las guías alimentarias para la enfermedad renal crónica recomiendan limitar el consumo de muchas verduras, así como aplicar laboriosas técnicas culinarias para reducir al máximo la cantidad de potasio.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">El objetivo de este trabajo es analizar el contenido de potasio de varios productos vegetales (frescos, congelados y en conserva), así como comprobar y comparar la efectividad en la reducción de potasio de distintos procesos culinarios, algunos de ellos recomendados en las guías alimentarias, como son el remojo o la doble cocción.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Se analizó el contenido de potasio de las muestras por triplicado mediante espectrometría de emisión atómica de llama.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Los resultados mostraron reducciones significativas en el contenido de potasio en todos los procesos culinarios estudiados. El grado de disminución varió según el tipo de verdura y el procesado al que fue sometida. En los productos congelados se alcanzaron mayores reducciones que en los frescos, y en algunos casos se lograron pérdidas de potasio superiores al 90%. Además, se observó como en muchos casos la simple aplicación de una cocción normal dio lugar a reducciones de potasio hasta niveles aceptables para la inclusión en la dieta del enfermo renal.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusión</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Los resultados mostrados en este estudio son muy positivos, ya que aportan herramientas a los profesionales que tratan con este tipo de pacientes, lo que les permite adaptarse más fácilmente a las necesidades y preferencias de sus pacientes, así como incrementar la variedad en su dieta.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Martínez-Pineda M, Yagüe-Ruiz C, Caverni-Muñoz A, Vercet-Tormo A. Reducción del contenido de potasio de las judías verdes y las acelgas mediante el procesado culinario. Herramientas para la enfermedad renal crónica. Nefrologia. 2016;36:427–432.</p>" ] ] "multimedia" => array:4 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Results shown as mean (standard deviation). Mean values with different letters (a, b, c …) in the same column indicate significant differences (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05) in potassium loss among the different culinary processes.</p><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">NC: normal cooking; DC: double cooking; S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>NC: soaking<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>normal cooking; S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC: soaking<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>double cooking.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Culinary process \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Fresh</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Home frozen</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Industrially frozen</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">210.9 (24.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">202.5 (15.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">170.1 (11.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Soaking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">147.9 (23.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.5 (4.1)<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.9 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.7 (1.9)<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.2 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93.3 (2.5)<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">NC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">114.3 (13.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.9 (3.5)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.8 (5.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">64.3 (1.9)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (5.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.8 (5.8)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">107.6 (8.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.9 (4.9)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.7 (4.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.8 (2.3)<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.4 (1.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">74.9 (1.3)<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.2 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46.3 (2.3)<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.1 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96.4 (0.4)<span class="elsevierStyleSup">d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.8 (0.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97.2 (0.3)<span class="elsevierStyleSup">d</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76.4 (6.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.1 (4.1)<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.7 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96 (1.0)<span class="elsevierStyleSup">d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97.3 (1.1)<span class="elsevierStyleSup">d</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1269773.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Potassium content and effect of different culinary processes in green beans.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Results shown as mean (standard deviation).</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">EP: edible portion.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Product \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g EP</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleItalic">Flat green beans</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">79 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">87 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleItalic">Round green beans</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">126(2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Whole chard</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Leaf \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Stalk \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">119 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">108 (7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">92 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">88 (10) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">159 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">153 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleItalic">Chard stalks</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">130 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Commercial brand 2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">116 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1269770.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Potassium content of canned products.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Results shown as mean (standard deviation).</p><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Mean values with different letters (a, b, c …) in the same column indicate significant differences (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05) in potassium loss among the different culinary processes.</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">NC: normal cooking; DC: double cooking; S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>NC: soaking<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>normal cooking; S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC: soaking<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>double cooking.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Culinary process \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Fresh</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Home frozen</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Industrially frozen</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Results</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">285.8 (13.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">253.6 (9.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">152.8 (6.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Soaking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">185.7 (14.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.1 (5.2)<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.2 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.0 (0.4) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.2 (0.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97.8 (0.2) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">123.7 (12.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.0 (5.2)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88.8 (3.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65.0 (1.3) <span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28.0 (7.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76.0 (6.6) <span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78.9 (7.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66.3 (3.4)<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51.0 (5.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.9 (2.2) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.7 (0.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.2 (0.5) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84.3 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.5 (1.5) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.6 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">91.9 (0.2) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 (0.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">99.2 (0.0) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66.7 (1.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">67.0 (0.7) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.0 (0.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">94.5 (0.1) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">99.3 (0.1) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Stalk</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">262.0 (22.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">288.4 (6.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Soaking \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">173.2 (6.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.4 (4.0) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33.6 (3.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.2 (2.0) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>NC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">210.3 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.8 (2.2) <span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">110.0 (7.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.0 (3.7) <span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">159.3 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19.5 (0.9) <span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88.9 (6.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51.1 (2.9) <span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">120.6 (5.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29.2 (1.4) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.1 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89.0 (0.6) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>S<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>DC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">118.8 (7.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27.3 (1.1) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.1 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89.9 (0.2) <span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1269772.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Potassium content and effect of different culinary processes in chard.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Results shown as mean (standard deviation).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Product \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Mixed vegetables</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Diced vegetable salad</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mg/100<span class="elsevierStyleHsp" style=""></span>g \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">% loss \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Commercial brand 1</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">202 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">227 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cooked \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">126 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Commercial brand 2</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">156 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">163 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cooked \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Commercial brand 3</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">185 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">244 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cooked \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">121 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">105 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Commercial brand 4</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Raw \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">211 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">244 (27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cooked \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">115 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1269771.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Potassium content in commercial mixed vegetables diced vegetable salad.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:20 [ 0 => array:3 [ "identificador" => "bib0105" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The frequency of hyperkalemia and its significance in chronic kidney disease" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L.M. 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Schlich" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "J Food Eng" "fecha" => "2006" "volumen" => "77" "paginaInicial" => "327" "paginaFinal" => "333" ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack256632" "titulo" => "Acknowledgments" "texto" => "<p id="par0195" class="elsevierStylePara elsevierViewall">We would like to thank the Fundación Cuenca Villoro [Cuenca Villoro Foundation] for the scholarship granted to Montserrat Martinez-Pineda.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/20132514/0000003600000004/v1_201612030031/S2013251416300943/v1_201612030031/en/main.assets" "Apartado" => array:4 [ "identificador" => "42660" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/20132514/0000003600000004/v1_201612030031/S2013251416300943/v1_201612030031/en/main.pdf?idApp=UINPBA000064&text.app=https://revistanefrologia.com/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251416300943?idApp=UINPBA000064" ]
Year/Month | Html | Total | |
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2024 November | 8 | 3 | 11 |
2024 October | 207 | 79 | 286 |
2024 September | 247 | 62 | 309 |
2024 August | 285 | 136 | 421 |
2024 July | 240 | 55 | 295 |
2024 June | 192 | 55 | 247 |
2024 May | 187 | 57 | 244 |
2024 April | 150 | 58 | 208 |
2024 March | 152 | 40 | 192 |
2024 February | 135 | 52 | 187 |
2024 January | 144 | 37 | 181 |
2023 December | 187 | 54 | 241 |
2023 November | 179 | 53 | 232 |
2023 October | 273 | 57 | 330 |
2023 September | 265 | 55 | 320 |
2023 August | 302 | 44 | 346 |
2023 July | 424 | 59 | 483 |
2023 June | 225 | 44 | 269 |
2023 May | 450 | 47 | 497 |
2023 April | 320 | 36 | 356 |
2023 March | 269 | 45 | 314 |
2023 February | 216 | 36 | 252 |
2023 January | 230 | 40 | 270 |
2022 December | 198 | 52 | 250 |
2022 November | 320 | 54 | 374 |
2022 October | 298 | 50 | 348 |
2022 September | 254 | 45 | 299 |
2022 August | 274 | 59 | 333 |
2022 July | 198 | 60 | 258 |
2022 June | 157 | 51 | 208 |
2022 May | 158 | 60 | 218 |
2022 April | 195 | 69 | 264 |
2022 March | 156 | 57 | 213 |
2022 February | 226 | 61 | 287 |
2022 January | 194 | 62 | 256 |
2021 December | 170 | 66 | 236 |
2021 November | 144 | 68 | 212 |
2021 October | 134 | 61 | 195 |
2021 September | 125 | 39 | 164 |
2021 August | 105 | 46 | 151 |
2021 July | 110 | 42 | 152 |
2021 June | 144 | 50 | 194 |
2021 May | 103 | 62 | 165 |
2021 April | 222 | 61 | 283 |
2021 March | 165 | 71 | 236 |
2021 February | 135 | 54 | 189 |
2021 January | 79 | 27 | 106 |
2020 December | 87 | 26 | 113 |
2020 November | 72 | 19 | 91 |
2020 October | 45 | 31 | 76 |
2020 September | 50 | 19 | 69 |
2020 August | 60 | 27 | 87 |
2020 July | 64 | 20 | 84 |
2020 June | 73 | 22 | 95 |
2020 May | 69 | 20 | 89 |
2020 April | 55 | 26 | 81 |
2020 March | 78 | 22 | 100 |
2020 February | 65 | 27 | 92 |
2020 January | 76 | 19 | 95 |
2019 December | 81 | 32 | 113 |
2019 November | 75 | 30 | 105 |
2019 October | 44 | 16 | 60 |
2019 September | 60 | 14 | 74 |
2019 August | 56 | 21 | 77 |
2019 July | 58 | 32 | 90 |
2019 June | 45 | 28 | 73 |
2019 May | 32 | 28 | 60 |
2019 April | 79 | 27 | 106 |
2019 March | 66 | 26 | 92 |
2019 February | 35 | 24 | 59 |
2019 January | 41 | 32 | 73 |
2018 December | 133 | 41 | 174 |
2018 November | 208 | 26 | 234 |
2018 October | 136 | 16 | 152 |
2018 September | 88 | 20 | 108 |
2018 August | 56 | 45 | 101 |
2018 July | 50 | 23 | 73 |
2018 June | 48 | 18 | 66 |
2018 May | 51 | 23 | 74 |
2018 April | 63 | 18 | 81 |
2018 March | 65 | 10 | 75 |
2018 February | 47 | 12 | 59 |
2018 January | 44 | 10 | 54 |
2017 December | 55 | 8 | 63 |
2017 November | 74 | 17 | 91 |
2017 October | 36 | 5 | 41 |
2017 September | 45 | 19 | 64 |
2017 August | 51 | 28 | 79 |
2017 July | 40 | 27 | 67 |
2017 June | 45 | 13 | 58 |
2017 May | 43 | 8 | 51 |
2017 April | 59 | 9 | 68 |
2017 March | 48 | 4 | 52 |
2017 February | 24 | 11 | 35 |
2017 January | 19 | 4 | 23 |
2016 December | 49 | 9 | 58 |
2016 November | 33 | 7 | 40 |
2016 October | 2 | 0 | 2 |