<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222016000100001</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Capability of in vitro digestibility methods to predict in vivo digestibility of vegetal and animal proteins]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Queiroz Mendes]]></surname>
<given-names><![CDATA[Fabrícia]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[De Almeida Oliveira]]></surname>
<given-names><![CDATA[Maria Goreti]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brunoro Costa]]></surname>
<given-names><![CDATA[Neuza Maria]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vieira Pires]]></surname>
<given-names><![CDATA[Christiano]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Regina Passos]]></surname>
<given-names><![CDATA[Flávia]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Federal University of Viçosa  ]]></institution>
<addr-line><![CDATA[ MG]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>01</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>01</month>
<year>2016</year>
</pub-date>
<volume>66</volume>
<numero>1</numero>
<fpage>005</fpage>
<lpage>016</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222016000100001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222016000100001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222016000100001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[. The purpose of this work was to establish predictive equations for the digestibility of proteins of animal and vegetal origin by correlating in vitro and in vivo methods. Proteins sources for animal and vegetable were used. To calculate in vitro digestibility, we used pH values obtained 10 min after a solution of enzymes was added to a protein solution (pH-drop method). We also used the pH-static method, which measures the volume of additional NaOH that is necessary to maintain a pH of 8.0 after the addition of an enzymatic solution. In vivo digestibility was measured in newly weaned male rats that were fed a diet of AIN-93G for growth with a modified protein content of 9.5% for 14 days. The equations developed using the pH-drop method allowed us to predict in vivo digestibility amounts that were more closely correlated with real in vivo digestibility than those obtained with equations using the pH-static method. In vitro techniques are less expensive, require less manpower and physical space, and use a smaller quantity of protein.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Correlação entre métodos de digestibilidade in vitro e in vivo. O objetivo deste trabalho foi estabelecer equações de predição para a digestibilidade das proteínas de origem animal e vegetal, correlacionando métodos in vitro e in vivo. Foram utilizadas proteínas de origem animal e vegetal. Para o cálculo da digestibilidade in vitro foram utilizados os valores de pH obtidos em 10 min após a adição da solução de enzimas (método de queda de pH). Também foi utilizado o método de pH estático, o qual mede o volume de NaOH adicionado, necessário para manter o pH em 8,0 após a adição de uma solução enzimática. A digestibilidade in vivo foi medida em ratos machos recémdesmamados que foram alimentados com uma dieta AIN- 93G para crescimento com teor de proteína modificada de 9,5% durante 14 dias. As equações desenvolvidas utilizando o método de queda de pH permitiram prever em quantidades digestibilidade in vitro que foram mais estreitamente correlacionadas com a digestibilidade in vivo do que aqueles obtidas utilizando equações do método de pH estático. As técnicas in vitro são menos dispendiosas, exigem menos mão-de-obra e espaço físico, e utiliza uma menor quantidade de proteína.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Protein]]></kwd>
<kwd lng="en"><![CDATA[in vitro digestibility]]></kwd>
<kwd lng="en"><![CDATA[in vivo digestibility]]></kwd>
<kwd lng="en"><![CDATA[pH]]></kwd>
<kwd lng="pt"><![CDATA[Proteína]]></kwd>
<kwd lng="pt"><![CDATA[digestibilidade in vitro]]></kwd>
<kwd lng="pt"><![CDATA[digestibilidade in vivo]]></kwd>
<kwd lng="pt"><![CDATA[pH]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><b><font size="2" face="Verdana">Capability of in vitro digestibility methods to predict in vivo  digestibility of vegetal and animal proteins</font></b></p>     <p align="center"><font size="2" face="Verdana">  Fabrícia Queiroz Mendes, Maria Goreti De Almeida Oliveira, Neuza Maria Brunoro  Costa,  Christiano Vieira Pires, Flávia Regina Passos</font></p>     <p align="center"><font size="2" face="Verdana">  Federal University of Viçosa, MG, Brazil. Federal University of Espírito Santo,  Brazil.  Federal University of São João Del Rei Campus of Sete Lagoas, Brazil.  Federal University of Viçosa Campus of Rio Paranaíba, Brazil.</font></p>     <p align="justify"><font face="Verdana"><b><font size="2">SUMMARY</font></b><font size="2">. The purpose of this work was to establish  predictive equations for the digestibility of proteins of animal  and vegetal origin by correlating in vitro and in vivo  methods. Proteins sources for animal and vegetable were  used. To calculate in vitro digestibility, we used pH values  obtained 10 min after a solution of enzymes was added  to a protein solution (pH-drop method). We also used the  pH-static method, which measures the volume of additional  NaOH that is necessary to maintain a pH of 8.0 after  the addition of an enzymatic solution. In vivo digestibility  was measured in newly weaned male rats that were fed a  diet of AIN-93G for growth with a modified protein content  of 9.5% for 14 days. The equations developed using the  pH-drop method allowed us to predict in vivo digestibility  amounts that were more closely correlated with real in vivo  digestibility than those obtained with equations using the  pH-static method. In vitro techniques are less expensive, require  less manpower and physical space, and use a smaller  quantity of protein.</font></font></p>     <p align="justify"><font size="2" face="Verdana">  <b>Key words: </b>Protein, in vitro digestibility, in vivo digestibility,  pH.</font></p>     <p align="justify"><font size="2" face="Verdana">  <b>RESUMO. </b>Correlação entre métodos de digestibilidade  in vitro e in vivo. O objetivo deste trabalho foi estabelecer  equações de predição para a digestibilidade das proteínas  de origem animal e vegetal, correlacionando métodos  in vitro e in vivo. Foram utilizadas proteínas de origem  animal e vegetal. Para o cálculo da digestibilidade in vitro  foram utilizados os valores de pH obtidos em 10 min após  a adição da solução de enzimas (método de queda de pH).  Também foi utilizado o método de pH estático, o qual mede  o volume de NaOH adicionado, necessário para manter o  pH em 8,0 após a adição de uma solução enzimática. A  digestibilidade in vivo foi medida em ratos machos recémdesmamados  que foram alimentados com uma dieta AIN-  93G para crescimento com teor de proteína modificada  de 9,5% durante 14 dias. As equações desenvolvidas  utilizando o método de queda de pH permitiram prever  em quantidades digestibilidade in vitro que foram mais  estreitamente correlacionadas com a digestibilidade in vivo  do que aqueles obtidas utilizando equações do método de  pH estático. As técnicas in vitro são menos dispendiosas,  exigem menos mão-de-obra e espaço físico, e utiliza uma  menor quantidade de proteína.</font></p>     <p align="justify"><font size="2" face="Verdana">  <b>Palavras-chave:</b> Proteína, digestibilidade in vitro,  digestibilidade in vivo, pH.</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">INTRODUCTION</font></b></font></p>     <p align="justify"><font size="2" face="Verdana">  Classical methods to determine the protein  efficiency ratio (PER) include measuring nitrogen  balance, biological amount, chemical score, and  digestibility and protein digestibility corrected amino  acid score (PDCAAS). PDCAAS was introduced by  FAO/WHO in 1985 and is the accepted measure for  evaluating protein quality. PDCAAS is defined as the  relationship between the content of the first amino  acid limiting protein (mg/g) and the content of that  amino acid in a reference protein (mg/g) multiplied by  true digestibility. The standard of reference is based  on the necessity of essential amino acids for children  between 2 and 5 years old, as defined bythe FAO/  WHO (1985) (1,2).</font></p>     <p align="justify"><font size="2" face="Verdana">  The digestibility of protein is determined as a  function of the ingested nitrogen fraction that the  animal absorbs. True digestibility is obtained by  measuring the difference between the amount of  ingested nitrogen and the amount of nitrogen in  faeces. This figure is corrected by examining the  quantity of fecal nitrogen that an individual excretes  when consuming a diet free of protein (3, 4).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  &nbsp;  Several factors may influence the digestibility</font></p>     <p align="justify"><font size="2" face="Verdana">  of a protein, including the presence of compounds  within the aliment, such as anti-nutritional factors,  or external factors, such as processing and storage  (5). The reduction of anti-nutritional factors by  different methods of food processing or by genetic  improvement may change protein digestibility.  However, performing in vivo tests to evaluate the  digestibility of each processing change in foods or to  evaluate each new difference in processing are both  expensive and time-consuming. In vitro methods may  predict digestibility variations due to changes in food  processing more quickly and economically than in  vivo methods.</font></p>     <p align="justify"><font size="2" face="Verdana">  The majority of methods for determining in vitro  digestibility are based on the digestion of samples  by proteolytic enzymes under standard conditions.  The number and nature of enzymes used for the final  measurement of digestibility vary among methods (6).  The purpose of this work was to determine the in  vivo digestibility of different proteins and to perform  equation adjustments to establish their in vitro  digestibility according to different methods.</font></p>     <p align="justify"><b><font size="2" face="Verdana">  MATERIALS AND METHODS</font></b></p>     <p align="justify"><b><font size="2" face="Verdana">  Preparation of the samples</font></b></p>     <p align="justify"><font size="2" face="Verdana">  The following protein sources were used:  commercial casein (Rhoster Indústria e Comércio  Ltda, Araçoiaba da Serra, SP, Brazil), bovine meat,  pork meat (SearaAlimentos, Rio Grande da Serra, SP,  Brazil), chicken meat (PifPafAlimentos, Visconde do  Rio Branco, MG, Brazil), fish meat, frog meat without  bone, mechanically separated frog meat, frog meat  with bone (Criação Experimental da Universidade  Federal de Viçosa, Viçosa, MG, Brazil), instant  powdered milk (NestléBrasilAlimentos, Araçatuba,  SP, Brazil), whey protein (Pura Maximus 80%, Viçosa,  MG, Brazil), rice, beans, soya bean, quinoa, textured  vegetable protein, oat, maize (ground), and wheat  (flour) (SupermercadoEscola, Viçosa, MG, Brazil).  Meats from chicken (chest without skin), pork  (hind leg without apparent fat), and fish (hake filet)  were boiled in water in saucepanmoist heat to 100°C  in a proportion of 1:1 (p/v), for about 40 min, until  they absorbed all of the water. After cooking, the  meats were frozen at -18ºC, dehydrated in a freezedrying  machine for 24 h, grinded in a food processor,  and sifted in a 1-mm sifter.</font></p>     <p align="justify"><font size="2" face="Verdana">  Grains of polished white rice, were cooked in  water in a saucepan. Bean cv. ‘Pérola’ were cooked  in a pressure cooker for 40 min. After cooking,  both grains were dried at 60ºC in a sterilizer with  air circulation (Tecnal brand, TE-394/2 model,  Piracicaba, SP, Brazil) for 24 h. The grains were then  ground in a food processor (Arno brand, FP15 model,  São Paulo, SP, Brazil), and sifted in a 1-mm sifter to  produce rice flour.</font></p>     <p align="justify"><font size="2" face="Verdana">  Soya beans were submitted to thermal treatment  by dry heat at 89°C in a sterilizer with air circulation  (Tecnal brand, TE-394/2 model, Piracicaba, SP,  Brazilfor 5 min. The grains were ground in a food  processorand then sifted in a 1-mm sifter to produce  soya flour.</font></p>     <p align="justify"><font size="2" face="Verdana">  Quinoa, textured vegetable protein and oat was  ground in a food processor(Arno brand, FP15 model,  São Paulo, SP, Brazil) and sifted in a 1-mm sifter.  In vivo digestibility data for bovine meat, frog  meat without bone, mechanically separated frog meat,  frog meat with bone, beans, maize (ground maize),  textured vegetable protein, and wheat (flour) were  obtained according to Pires et al. (6).</font></p>     <p align="justify"><b><font size="2" face="Verdana">  Nitrogen content determination</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  The protein content of each sample was determined  using the Kjeldhal semi-micro method according  to the AOAC (7). Different factors were used in the  calculation of nitrogen conversion to protein: instant  powdered milk factor 6.38; rice factor 5.95; soya  factor 6.25; oat and wheat (flour)factor 5.83; and  other protein sources factor 6.25 (8).  Biological testing</font></p>     <p align="justify"><font size="2" face="Verdana">  Non-protein diet, casein diet (standard), and test  diets were prepared with the studied protein samples,  as shown in Table 1. The composition of the diets was  based on AIN-93G for growth, according to Reeves  et al. (9), with an adjusted protein content of 9% to  10% for all diets, except the rice diet, which contained  7% protein. The quantities of other diet ingredients  (starch, dextrinized starch, sucrose, oil, and cellulose)  were also amended based on the composition of the  tested foods to determine which diets were iso-caloric  and iso-protein (Table 1).</font></p>     <p align="justify"><a name="t1"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.1.jpg" width="529" height="353"></font></p>     
<p align="justify"><font size="2" face="Verdana">  After preparation, which was determined by the  protein content of each diet, diet samples were placed  into polyethylene bags, appropriately labeled, and  stored in a refrigerator. A total of 66 newly weaned  male Wistar rats were used. The average age of the  animals was 23 days, with a weight of 50 to 60 g. The  animals were obtained from the Health and Biological  Sciences Center (CBB) nursery of the Federal  University of Viçosa, Viçosa, MG, Brazil.</font></p>     <p align="justify"><font size="2" face="Verdana">  The animals were assigned to 11 groups, with  6 animals in each group. The average weight among  these groups did not exceed 10g. The rats were  allocated to individual cages, where they received  water and food ad libitum for 14 days. The animals  were maintained at 22 ± 3ºC, with 12 h of day and  night. Their alimentary consumption was monitored  weekly.</font></p>     <p align="justify"><font size="2" face="Verdana">  At the end of the experiment, the animals were  euthanized with carbon dioxide and buried in a  designated location at the Veterinary Medicine  Department of the Federal University of Viçosa.  The experiment was performed in accordance  with the rules of the Brazilian College for Animal  Experimentation (COBEA) and international rules  described in Handbook of Laboratory Animal Science  (10). Ethical and methodological aspects of this study  were submitted to the Ethics Committee for Animal  Research and recorded at the Federal University of  Viçosa under number 50704454851.</font></p>     <p align="justify"><b><font size="2" face="Verdana">  True digestibility</font></b></p>     <p align="justify"><font size="2" face="Verdana">  To determine digestibility, the diets were dyed  with indigo carmine at 100 mg/100 g and offered to  the animals on the 7th and 10th days of the study.  Their faeces was collected in individual pots on the  8th through 11th days and refrigerated. On the 8th  day, only the dyed faeces was collected. On the 9th  and 10th days, all faeces was collected. On the 11th  day, only not dyed faeces was collected.</font></p>     <p align="justify"><font size="2" face="Verdana">  At the end of the experiment, the fecal samples  were dried in a sterilizer with air circulation at 105°C  for 24h. The fecal samples were then cooled, weighed,  and ground in a processor (Arno brand, FP15 model,  São Paulo, SP, Brazil) to determine their nitrogen  concentration using the Kjeldahl semi-micro method,  with triplicate samples (7).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  True digestibility was calculated by measuring  the quantity of nitrogen that was ingested through  the subjects’ diet, the quantity that was eliminated  through faeces, and the metabolic loss at faeces, which  corresponds to the fecal nitrogen of the group with a  non-protein diet, using the following equation (4):</font></p>     <p align="justify"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.2.jpg"></font></p>     
<p align="justify"><b><font size="2" face="Verdana">  In vitro digestibility</font></b></p>     <p align="justify"><font size="2" face="Verdana">  Two methods of in vitro digestibility analysis were  investigated using an enzymatic system of trypsin  enzymes and pancreatine, obtained from Sigma-  Aldrich, Saint Louis, Missouri, USA. The obtained  equation was used to correlate the in vitro studies  with the in vivo tests and predict the true digestibility  through techniques that did not demand the use of  animals and that yielded results with less time and  cost.</font></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font size="2" face="Verdana">  An enzymatic solution of bovine trypsin enzymes  (2.5 mg/mL) and pork pancreatine (1.6 mg/mL)  was placed in purified water and subjected to both  methods to form a solution of protein hydrolysates.  The enzymatic solution was immediately prepared  before each series of tests and maintained in an ice  bath.</font></p>     <p align="justify"><font size="2" face="Verdana">  Methods described by Hsu et al. (11), with  modifications (pH-drop method)  The pH-drop method is based in the correlation  between the initial velocity of proteolysis and  digestibility, measured via pH, using an enzymatic  solution to digest the sample. The method described  by Hsu et al. (11) uses trypsin enzymes, chymotrypsin,  and a peptidase. In the current study, an enzymatic  solution of trypsin enzymes and pancreatine was used  for protein hydrolysis.</font></p>     <p align="justify"><font size="2" face="Verdana">  A 50-mL volume of protein suspension was  prepared in distilled water (6.25 mg of protein/  mL), adjusted to pH 8 with a solution of NaOH,  and placed under agitation in a water bathat 37ºC. A  5-mL aliquot of enzymatic solution wasthen added  to the protein suspension, which was maintained  at 37ºC in the water bath. The decrease in pH was  measured after the addition of an enzymatic solution  at 15 s and every minute for a period of 10 min using</font></p>     <p align="justify"><font size="2" face="Verdana">a digital potentiometer (Tecnal brand,TEC-2MP  model, Piracicaba, SP, Brazil). Enzymatic digestion  was characterized by a decrease in pH that occurred  10 min after the enzymatic solution was added.  Decreases in pH after 10 min and parameter equations  were used to describe the correlation between the in  vitro digestibility andthe in vivo true digestibility.  Methods described by Cruz et al. (12), with  modifications (pH-static method)</font></p>     <p align="justify"><font size="2" face="Verdana">  To determine in vitro digestibility through the  pH-static method, trypsin enzymes and pancreatine  were used to prepare an enzymatic solution. This is  a modification of a method described by Cruz et al.  (12), which used trypsin enzymes, chymotrypsin, and  pancreatine.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  A 50-mL volume of protein suspension was  prepared in distilled water (6.25 mg of protein/mL),  adjusted to pH 8.0 with a solution of NaOH, and  incubated with agitation by thermostatic bath (Tecnal  brand, TE-184 model, Piracicaba, SP, Brazil) at 37°C.</font></p>     <p align="justify"><font size="2" face="Verdana">  A 5-mL aliquot of enzymatic solution was then added  to the protein suspension. Next, NaOH0.1 mol/L was  added in sufficient quantities to maintain the pH at 8.0  such that the pH did not vary by more than 0.03 units  in 1 min. The 0.03 factor is based on the hydrolysis  of casein, during which the pH decreasesafter 9 to 10  min. At this point the difference in pH isvery small  but not significant (12). The volume of NaOH added  during the test was measured and related to enzymatic  digestion by an equation that describes the volume of  NaOH required to maintain a pH of 8.0. The volume  of NaOH expended during the test and the equation of  parameters were used to describe the correlation with  in vivo true digestibility.</font></p>     <p align="justify"><font size="2" face="Verdana">  The pH amounts in the pH-drop method and  the volume of NaOH used to maintain a pH of 8.0  in the pH-static method were obtained from Pires et  al.(6) for samples of bovine meat, frog meat without  bones, mechanically separated frog meat, frog meat  with bones, beans, maize (ground maize), textured  vegetable protein, and wheat (flour) and from  Sant’Ana et al. (13) for samples of oats, chicken  meat, fish meat, pork meat, powdered milk, quinoa,  and soya beans.</font></p>     <p align="justify"><b><font size="2" face="Verdana">  Equations for in vitro digestibility</font></b></p>     <p align="justify"><font size="2" face="Verdana">  For both methods, several samples were analyzed to  verify the effect of each protein source on digestibility.  For each method, in vitro digestibility was compared  to a) the true digestibility of all samples; b) the true  digestibility of all samples except casein; c) the true  digestibility of protein samples of vegetal origin; and  d) the true digestibility of protein samples of animal  origin.</font></p>     <p align="justify"><font size="2" face="Verdana">  For the pH-drop method, the true digestibility was  described as the decrease in the pH of the samples  10 min after the addition of an enzyme solution.  For the pH-static method, the true digestibility was  described based on the volume of 0.1 mol/LNaOH  added to maintain a pH of 8.0 in the protein solution  after the enzymatic solution was added.</font></p>     <p align="justify"><b><font size="2" face="Verdana">  Statistical outline</font></b></p>     <p align="justify"><font size="2" face="Verdana">  Non-linear regression was used to obtain equations  for in vitro digestibility using the Sigma Plot program  Version 8.0 (14).</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">RESULTS</font></b></font></p>     <p align="justify"><b><font size="2" face="Verdana">  In vitro digestibility</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font size="2" face="Verdana">  The pH-drop method</font></b></p>     <p align="justify"><font size="2" face="Verdana">  To determine equations for in vitro digestibility,  pH levels were recorded 10 min after the addition of a  solution of enzymes. These amounts were correlated  with the in vivo digestibility of the respective samples,  and the best mathematical model to describe the  system was chosen based on significant levels of r2  (the behavior data are represented by an equation) and  correlation with the biological model of digestion. The  equations developed based on the pH values measured  after 10 min of exposure to an enzyme solution are  shown in Figure 1.</font></p>     <p align="justify"><a name="f1"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.3.jpg" width="561" height="634"></font></p>     
<p align="justify">&nbsp;</p>     <p align="justify"><font size="2" face="Verdana">  Figure 1A shows the equation that was obtained  based on the in vivo digestibility data and the pHdrop  of all protein sources. The obtained equation is  exponential and has an r2 of 76.76% of the variability  of digestibility in vivo is explained by the adjusted  model. In Figure 1B, all protein sources were used  except casein, and thus an equation with an r2 of  76.24% was obtained. Figure 1C shows only the  proteins of vegetal origin, which permitted us to obtain  an exponential digestibility equation that takes pH into  account with an r2 of 88.48%. The equation shown in  Figure 1C, offered the best explanation of digestibility  given the drop in pH. However, the equation shown  in Figure 1D, in which only proteins of animal origin  were used, yielded the worst adjustment, with an r2 of 41.61%. This equation offered the least compelling  correlation of in vitro digestibility behavior with in  vivo digestibility. The in vitro digestibility’s obtained  from the equations shown in Figure 1, compared with  their respective in vivo digestibility’s, are shown in  Table 2.</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">pH-static method</font></b></font></p>     <p align="justify"><font size="2" face="Verdana">  To determine the in vitro digestibility using  the pH-static method, the volume of a solution of  0.1 mol/L NaOH needed to maintain a pH of 8.0 after  a solution of proteins and a solution of enzymes were  added was measured. The equations prepared based on  the amounts of NaOH expended to maintain a pH of  8.0 after the addition of an enzyme solution is shown  in Figure 2. Figure 2A shows the equation obtained  from the in vivo digestibility data and the amount  (in mL) of NaOH that was expended to maintain a pH  of 8.0 forall protein sources. The obtained equation is  exponential and has an r2 of 70.33%. Figure 2B shows  the equation for all protein sources, except casein, for  which we obtained an equation with an r2 of 70.71%.</font></p>     <p align="justify"><a name="t2"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.4.jpg" width="595" height="471"></font></p>     
]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  The curve with the highest r2 value for the pH-static  method was obtained for proteins of vegetal origin  (r2= 84.84%, Figure 2C). Figure 2D shows the  equation for samples of animal origin, for which  the obtained digestibility amounts and the volume  of NaOH did not permit an exponential adjustment  to the other three curves (Figures 2A, 2B, and 2C)  because the in vivo digestibility were very similar,  with the exception of the powdered milk sample. The  equation makes a square polynomial adjustment and  has a very low r2 value (8.45%), and both parameters  and regressions are not significant (p&gt;0.10). However,  this only occurs with the data from samples of animal  origin.The curve was not made to correlate the  digestibility with the volume of NaOH expended to  maintain a pH of 8.0. For samples of animal origin,  the equations obtained from Figure 2A or Figure  2B should be used. Using the pH-drop method, we  <b>  </b>  observed a linear behavior for samples of animal  origin, with an average digestibility of 93.24% when  powdered milk was omitted.  The results for in vitro digestibility as calculated  by each one of the equations obtained by the pHstatic  method are shown in Table 3. Table 3 shows the  in vitro digestibility obtained using equation 1A for  samples of animal origin and equation 1C for samples  of vegetal origin. Using the amounts obtained for in  vivo digestibility and in vitro digestibility calculated  using equations 1A and 1C (Table 4), we obtained a  linear relationship with an r2 of 86.12% (Figure 3).  Thus, from the equation obtained in Figure 3, we can  predict in vivo digestibility.</font></p>     <p align="justify"><a name="f2"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.5.jpg" width="579" height="641"></font></p>     
<p align="justify"><a name="t3"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.6.jpg" width="552" height="401"></font></p>     
<p align="justify"><font face="Verdana"><b><font size="2">  </font><a name="t4"><font size="2"></font></a></b></font></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.7.jpg" width="547" height="394"></font></p>     
<p align="justify"><a name="f3"><font size="2" face="Verdana"></font></a></p>     <p align="center"><font size="2" face="Verdana"> <img border="0" src="/img/fbpe/alan/v66n1/art01.8.jpg"></font></p>     
<p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">DISCUSSION</font></b></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font size="2" face="Verdana">  The pH-drop method</font></b></p>     <p align="justify"><font size="2" face="Verdana">  The equations obtained in Figures 1A and 1B have  similar r2 values. Thus, the presence of casein does not  influence curve adjustments. Pires et al.(6) adjusted a  square polynomial model to describe digestibility as  a function of the pH-drop amounts and observed that  in the casein sample, the r2 level decreased because  the reference point to the casein was very distant from  the others, which compromised the equation. This  phenomenon was not observed in the exponential  model because a large increase in the pH-drop creates  a small increase in the digestibility at pH levels down  to 6.8. An exponential model was chosen because it  better adapts to the studied biological model. As pHdrops  increase, the digestibility also increases, but after  a certain threshold, the increase in the pH-drop levels  are related to increases in the digestibility amounts.</font></p>     <p align="justify"><font size="2" face="Verdana">  In this case, the pH-drop level observed for the casein  sample does not change as the curve adjusts. Through  exponential adjustments, we observed that for an  infinite pH-drop amount, a digestibility of 97.19%  can be obtained from the equation found when using  all samples (Figure 1A), 97.90% from all the samples  except casein (Figure 1B), 93.14% from only the  samples of vegetal origin (Figure 1C), and 97.37%  from only the samples of animal origin (Figure 1D).</font></p>     <p align="justify"><font size="2" face="Verdana">  The equation obtained by Figure 1D presented worst  adjustment because the in vitro digestibility of the  proteins of animal origin yielded more variable results  than those obtained for in vivo digestibility.</font></p>     <p align="justify"><font size="2" face="Verdana">  The in vitrodigestibility’s obtained from  the equations above are similar to the in vivo  digestibility’s. For samples of vegetal origin, the in  vitro digestibility obtained by equation 1C is similar  to the in vivo digestibility. Although equation 1D  shows a low r2 value (41.61%), it yields amounts  closer to the in vitro digestibility for samples of animal  origin, except powered milk, when compared to the  in vivo digestibility. The diet containing powdered  milk was the food of animal origin that presented  the lowest digestibility. The digestibility of the diet  with powdered milk was lower than that of casein,  but casein contains the highest proportion of milk  protein ingredients, which represent approximately  80% of its total proteins (14). The presence of lactose  in the powdered milk likely caused light diarrhea in  the experimental animals, increasing intestinal flow,  and, consequently, nitrogen excretion. Thus, the  in vivo digestibility of the powdered milk diet was  reduced. When we omitted the data for the powdered  milk-containing diet, we observed a linear behavior  similar to that observed for the samples of animal  origin, with an average in vivo digestibility of 93.24%,  independent of the origin of the animal samples and  the obtained pH-drop level.</font></p>     <p align="justify"><b><font size="2" face="Verdana">  pH-static method</font></b></p>     <p align="justify"><font size="2" face="Verdana">  All three equations obtained by the pH-static  method shown in Table 3 permit the calculation of  in vitro digestibility amounts that are very similar to  those determined in vivo. The best correlation was  obtained using the samples of proteins of vegetal  origin. This finding contradicts the data obtained by  Pires et al. (6), who reported an r2 of 43.29% using  the pH-static method and a square polynomial curve  with proteins of vegetal origin only. However, Pires  et al. (6) found a major correlation for all proteins  (84.98%) and for all proteins except casein (83.78%)  in squared polynomial arrangements. In our work,  the exponential model was chosen because it is more  adaptable to the biological model, presents significant  parameters and regressions (p&lt;0.01), and presents an  r2 value that is greater than other r2 values for square  polynomial adjustments.</font></p>     <p align="justify"><font size="2" face="Verdana">  <b>FIGURE 3.</b>In vivo digestibility and in vitro digestibility,</font></p>     <p align="justify"><font size="2" face="Verdana">  using equations better adjusted to determine in  vitro digestibility, through the pH-drop method:  %D*in vivo predict = 14.46 + 0,8297 x (%D in vitro)  r2 = 0.8612. *Significant to 1%  By using the pH-static method to determine in  vitro digestibility, Cruz et al.(12) obtained larger  r2 values compared to tests of the in vivo digestibility  of different species of beans that were newly gathered  and stored. This method permitted them to obtain  r2 levels that varied from 75% to 83%.</font></p>     <p align="justify"><font size="2" face="Verdana">  For all observed curves, the pH-drop method  yielded larger r2 values. However, to determine the  in vitro digestibility of proteins of vegetal origin, we  recommend the use of the pH-drop method, as shown  in Figure 1C. To determine the in vitro digestibility of  proteins of animal origin, we recommend the pH-drop  method using the equation shown in Figure 1A, which  was obtained from the digestibilities of all samples.  The digestibility determined using the equation  in Figure 3 differs by 0.44% to 5.22% from the true  digestibility obtained in vivo. Thus, the pH-drop  method is a good method to determine the in vitro  digestibility of foods and may be used to predict  protein digestibility. In vitro techniques are less  expensive, require less manpower and physical space,  and use a smaller quantity of protein.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">  The values obtained for the digestibility of the  samples ranging from 78.05% (soybean) and 94.87%  (fish meat) (Table 4). The digestibility of animal  protein and rice is presented high in relation to other  vegetable proteins, for not having anti-nutritional  factors.</font></p>     <p align="justify"><font size="2" face="Verdana">  Pires et al. (6), Mendes et al. (16) and Usydus et al.  (17) observed true digestibility values of 90.13% and  98.7% for animal protein, results that show the high  digestibility of animal proteins.</font></p>     <p align="justify"><font size="2" face="Verdana">  The digestibility of rice protein was 93.56%  (Table 4). Boisen et al. (18) studied the digestibility  of different varieties of rice, found digestibility values  ranging from 92.5% to 98.8%. The proteins present  in rice are easily digested and absorbed, but will not  necessarily be well used for growth and maintenance,  lack of essential amino acids. Mendes et al. (16),  studying the quality proteins, found PER values NPR  64.1% and 79.9% for rice, in relation to casein.  Of all proteins analyzed those that had lower  true digestibility were soybeans (78.05%) and beans  (78.70%). Vegetable proteins have over antinutritional  factors that contribute to decreased digestibility as  phytates, tannins, protease inhibitors (5).</font></p>     <p align="justify"><font size="2" face="Verdana">  The digestibility of a protein source may vary  depending on its origin, variety, thermal treatment, or  other types of processing. Thus, in vitro techniques  could be used with low cost to predict the digestibility  of new varieties of food or foods that have been  processed differently (6), more rapidly and in a less  resource-intensive manner.</font></p>     <p align="justify"><font size="2" face="Verdana">  Both methods that were analyzed in this work  yielded in vitro digestibilities that were strongly  correlated with in vivo digestibility. Methodological  changes such as the use of only trypsin enzymes  and pancreatine reduce expense do not affect the  correlation with in vivo digestibility. The equations  developed using the pH-drop method allowed us to  obtain in vitro digestibility amounts that were more  closely correlated with in vivo digestibility than those  obtained using equations obtained using the pH-static  method. This finding indicates the possibility that  food industries could utilize this method of testing the  in vitro digestibility of alimentary products to predict  protein digestibility.</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">CONCLUSION</font></b></font></p>     <p align="justify"><font size="2" face="Verdana">  The method of in vitro digestibility by measuring  the pH fall after hydrolysis of proteins showed better  correlation with in vivo method, should preferably be  used to predict the true digestibility.</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">ACKNOWLEDGMENT</font></b></font></p>     <p align="justify"><font size="2" face="Verdana">  The financial support from CNPq and FAPEMIG.</font></p>     <p align="justify"><font face="Verdana"><font size="2">  </font><b><font size="2">REFERENCES</font></b></font></p>     ]]></body>
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<body><![CDATA[<!-- ref --><p align="justify"><font size="2" face="Verdana">  11. Hsu HW, Vavak DL, Saterlee LD, Miller GA.  Multienzyme technique for estimating protein  digestibility. J. Food Sci., 1977; 42(5): 1269-1273.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532056&pid=S0004-0622201600010000100011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  12. Cruz GADR, Oliveira MGA, Costa NM, Pires CV, Cruz  R, Moreira MA. Comparação entre a digestibilidade  proteina in vitro e in vivo de diferentes cultivares de  feijão (Phaseolus vulgaris L.) armazenados por 30  dias. Alim. Nutr., 2005; 16(3): 265-271.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532058&pid=S0004-0622201600010000100012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  13. Sant’Ana RCO, Mendes FQ, Pires CV, Oliveira MGO.  Influence of lipid extraction from different protein  sources on in vitro digestibility. Ciênc. Agrotec., 2011;  35(4): 758-764.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532060&pid=S0004-0622201600010000100013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  14. Charland MB. SigmaPlot for scientists. Version 8.0.  Dubuque: Wm. C. Brown Communications, Inc.,  1995.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532062&pid=S0004-0622201600010000100014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  15. Machado RMG, Freire VH, Silva PC, Figuerêdo DV,  Ferreira PE. Controle ambiental em pequenas e médias  industrias de laticínios. Belo Horizonte: Segrac, 2002;  224 p.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532064&pid=S0004-0622201600010000100015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font size="2" face="Verdana">  16. Mendes FQ, Oliveira MGA, Costa NMB, Pires  CV, Hoffmam ZB. Qualidade protéica de diversos  alimentos,incluindo diferentes variedades de soja.  Alim. Nutr., 2009; 20 (1): 77-86.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532066&pid=S0004-0622201600010000100016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  17. Usydus Z, Szlinder-Richert J, Adamczyk M. Protein  quality and amino acids profi les of fish products  available in Poland. FoodChem.,2009;112: 139-145.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532068&pid=S0004-0622201600010000100017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">  18. Boisen S, Duldulao JBA, Mendoza EMT, Juliano  BO. Comparative protein digestibility in growing rats  of cooked rice and protein properties of indica and  japonica milled rices.J. Cereal Sci., 2001; 33: 183-191.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532070&pid=S0004-0622201600010000100018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p align="justify"><font size="2" face="Verdana">  <b>Recibido:</b> 01-10-2015  <b>Aceptado: </b>08-12-2015</font></p>       ]]></body>
<back>
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<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Millward]]></surname>
<given-names><![CDATA[DJ]]></given-names>
</name>
<name>
<surname><![CDATA[Layman]]></surname>
<given-names><![CDATA[DJ.]]></given-names>
</name>
<name>
<surname><![CDATA[Tomé]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Schaafsma]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Protein quality assessment: impact of expanding understanding of protein and amino acid needs for optimal health]]></article-title>
<source><![CDATA[Am. J. Clin. Nutr.]]></source>
<year>2008</year>
<volume>87</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1576- 1581</page-range></nlm-citation>
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<surname><![CDATA[Schaafsma,]]></surname>
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<article-title xml:lang="pt"><![CDATA[The protein digestibility-corrected amino acid score]]></article-title>
<source><![CDATA[J. Nutr.]]></source>
<year>2000</year>
<volume>130</volume>
<numero>7</numero>
<issue>7</issue>
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