Research article Topical Sections

Chemical and nutritional characterization of bean genotypes (Phaseolus vulgaris L.)

  • Received: 11 July 2021 Accepted: 20 October 2021 Published: 11 November 2021
  • Beans (Phaseolus vulgaris L.) are the most important legume for human consumption, and have essential nutrients for physiological processes. As examples, we can mention Fe and Zn. As a strategy to increase these nutrients in the population's diet, beans stand out as a potential candidate, as it already has high levels of these minerals compared to other foods. The objective of this study was to evaluate 14 bean genotypes from the EPAGRI Bean Genetic Improvement Program, Brazil, regarding Fe and Zn content, availability of Fe and Zn in vitro, amount of phytic acid, tannins, proteins, and moisture. The results showed a high positive correlation between the total amount of Zn with bioavailable Zn; the total amount of Fe, and the total amount of Zn; and the total amount of bioavailable Fe with Zn. Furthermore, there were statistically significant differences for all characteristics evaluated, showing an interesting variability that can be considered for future crosses aiming at nutritional quality.

    Citation: Julliane Destro de Lima, Wesley Ribeiro Rivadavea, Sydney Antonio Frehner Kavalco, Affonso Celso Gonçalves Junior, Ana Daniela Lopes, Glacy Jaqueline da Silva. Chemical and nutritional characterization of bean genotypes (Phaseolus vulgaris L.)[J]. AIMS Agriculture and Food, 2021, 6(4): 932-944. doi: 10.3934/agrfood.2021056

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  • Beans (Phaseolus vulgaris L.) are the most important legume for human consumption, and have essential nutrients for physiological processes. As examples, we can mention Fe and Zn. As a strategy to increase these nutrients in the population's diet, beans stand out as a potential candidate, as it already has high levels of these minerals compared to other foods. The objective of this study was to evaluate 14 bean genotypes from the EPAGRI Bean Genetic Improvement Program, Brazil, regarding Fe and Zn content, availability of Fe and Zn in vitro, amount of phytic acid, tannins, proteins, and moisture. The results showed a high positive correlation between the total amount of Zn with bioavailable Zn; the total amount of Fe, and the total amount of Zn; and the total amount of bioavailable Fe with Zn. Furthermore, there were statistically significant differences for all characteristics evaluated, showing an interesting variability that can be considered for future crosses aiming at nutritional quality.



    Obesity is one of the known health risk factors with high prevalence that rises steadily worldwide by many factors including high calorie diets, use of motor devices and looking at some sorts of screens such as mobile set instead of taking part in regular physical activities. All these factors lead to over weightiness or obesity, a major risk factor for cardiovascular disease [1][5], diabetes, hyperlipidemia, and atherosclerosis [6][8]. The results of several studies show that there is an association between adiposity and increased risk of hypertension, insulin resistance, diabetes mellitus, dyslipidemia all causing increase in the risk of myocardial infarction [9][12].

    Regular aerobic exercise program can potentially modify metabolic hormones and is considered as an important treatment of chronic inflammation and obesity-related conditions [13]. However, there are some controversies on such benefits which also may vary with the type and amount of exercise. A systematic review of the effect of chronic exercises on inflammatory factors including leptin and adiponectin concentrations released from fat tissue in adults revealed contradictory findings [14]. Also, a recent meta-analysis in patients with type-2 diabetes showed that aerobic exercise program was associated with a significant change in leptinbut did not alter adiponectin levels [15]. Furthermore, a review on pediatric obesity indicated that exercise has an impact on the adipose tissue and the release of adiponectin, resistin, and visfatin [16].

    Aerobic exercise may be performed with rest interval or continuously. An interval aerobic exercise is performed with rest intervals interspaced between several bouts of aerobic activities whereas continuous aerobic exercise is performed for certain period of time without any rest up to the point of completion. Thus, despite the fact that regular aerobic exercise program remains as a preventive and treatment mean to deal with obesity incidence and cardiovascular diseases [17], there seems to be a need to conduct more researches about the effectiveness of different types of aerobic exercise programs. In addition, considering more discoveries about the fat tissue and its products involved in inflammation, we should determine more beneficial types of aerobic exercise programs in changing the level of inflammatory factors such as visfatin released by fat tissue [18] in susceptible populations to obesity such as college student girls [19]. Visfatin, as a novel adiponectin identified in 2005, plays a significant role in the regulation of insulin production [20]. There are researches that show visfatin level increases with obesity [21]. In regard to the effect of aerobic exercise on visfatin level, controversial results have been reported. While a research results showed that 12 weeks of aerobic exercise did not significantly altered visfatin level of the participants [22], another researcher reported that aerobic exercise did change the level of visfatin in healthy men [18]. Considering these contradictory findings, the present study was designed, for the first time, to compare the effect of two types of aerobic exercise of interval versus continuous on serum visfatin level and BMI of overweight or obese college girl students.

    The participants: The participants were 36 college girls divided randomly divided into three groups and then randomly assigned into the groups of 12 girls per group though the use of random number table. They were volunteered to take part in the research. They learned about the protocol through the advertising placed in college campuses and dormitories. The inclusion criteria consisted of having Body Mass Index (BMI) over 25, not being involved in any regular physical activities for the past year, and being in a good healthy condition. The individuals with BMI less than 25, having a recent history of participation in regular physical activities such as being a sport team member or registered in sport clubs, having health problems such as high blood pressure and diabetes were excluded. BMI was calculated by dividing the weight in kilogram to the square of height in meter.

    Experiment: One day prior to the start of the exercise protocols, all participants attended a pathologic lab where a 5 cc of venous blood was drawn. Plasma visfatin concentrations were measured by enzyme linked Immune Sorbent assay (Elisa) kit (eBioscience, USA) according to manufacturer's instructions.

    Exercise protocol: The participants took part in session to receive instruction about how to perform the exercise program before the start of the protocol. The exercise groups performed the pretest exercise program, but the control group was asked to do their regular daily works and stay away from participating in any regular exercise programs. The exercise protocol included 5 minutes of warm up followed by the running exercise. The exercise program was performed three times perweek. Every session was scheduled in the afternoon. The control group did not participate in the exercise protocol.

    The exercise started at 60 to 75 percent of reserved heart rate set by polar watch (China made, t-31) for a distance of 1200 meters in the first week without rest. The work intensity was based on 60 to 75 percent of maximum heart rate (max hr = 220-age). Thus, every participant exercised at approximately similar intensity. The participants were instructed to maintain their work intensity at the defined work level. Every week, 400 meters more distance was added to the distance of 1200 meter running program [34]. The interval exercise program included running 1200 meter; three runs of 400 meter ( 3 * 400 = 1200) interspaced by a walking period of two minutes whereas the continuous exercise group ran the entire 1200-meter distance without any rest intervals. Every week, a distance of 400 meter was added to the running distance to avoid adaptation to the exercise program. Overall, five participants dropped from the exercise protocol. Three of the participants from the control group terminated their participation and were not willing to continue their cooperation. Two participants were unable to continue their work due to injury; one to the ankle twist and the other due to knee problem. Finally, 10 participants in the continuous, 12 in the interval exercise and 9 in control groups respectively completed the research project.

    Statistical analysis: Kolmogrove-Smirinov test was used to evaluate the distribution of the dependent variables. The result indicated that all the independent variables were normally distributed and parametrical statistical tests were used to analyze the data. One-way ANOVA was used to test the hypothesis. All analyses were performed by using SPSS: PC 16.0. The level of significance was set to alpha equal to 0.05.

    There were not any significant differences among the interval, continuous exercise and control groups in regard to age, weight, BMI and serum visfatin level (P = 0.97, 0.26, 0.19, 0.57, respectively at the start and end of the exercise protocol (table 1). There was not any significant difference between the independent variables between the three groups before the exercise protocol. Analysis of covariance (ANCOVA) showed that BMI of the participants in pretest condition was not significantly associated with visfatin changes after the termination of the exercise protocol (P = 0.603) (data not shown). The result showed that there was a significant difference in weight (P = 0.01), BMI (P = 0.005) and visfatin (P = 0.00) level among the three groups of interval, continuous exercise and control group after the exercise protocol. The changes in body weight and BMI from pre test to post test state are presented in Figure 1 and 2.

    Table 1.  Basic statistics of age, weight, BMI and visfatin level of blood serum in pretest and post test stage for the interval, continuousand control groups.
    Variables Group Mean±SD (pretest) Sig. Mean±SD (posttest) p-value
    Age (years) Interval 20.7 ± 2.71 0.97 - -
    Continuous 20.33 ± 1.49 -
    Control 20.66 ± 2.24 -
    Weight (kg) Interval 71.10 ± 5.40 0.26 70.10 ± 4.67 0.01
    Continuous 72.75 ± 6.18 71.25 ± 5.57
    Control 75.33 ± 5.72 76.88 ± 5.37
    BMI (kg/mm)2 Interval 27.57 ± 1.02 0.19 26.82 ± 0.98 0.005
    Continuous 26.77 ± 1.53 26.08 ± 1.21
    Control 27.57 ± 1.62 28.04 ± 1.46
    Visfatin (ng/ml) Interval 49.37 ± 16.68 0.57 30.92 ±10.74 0.001
    Continuous 56.32 ± 13.9 43.03 ± 8.01
    Control 51.07 ± 17.3 52.14 ± 6.79

     | Show Table
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    Figure 1.  Changes in body weight(kg)from the pre test to post test state.
    Figure 2.  Changes in BMI(kg/mm) from the pre test to post test state.

    For the significant differences that were found, post hoc multiple comparisons test was used to locate the differences among the means by using LSD method. These are presented in table 2. LSD test result indicated that there was a significant decrease for weight for both exercise groups compared to the control group (P = 0.01, 0.02), but there was no significant difference between the continuous and interval exercise groups (P = 0.61). LSD post hoc test was used to determine the significant differences between the BMI for the three groups; the result showed that the significant differences was between the interval and continuous group compared to the control group (P = 0.006, P = 0.004). No significant difference was found between the interval and continuous exercise group (P = 0.96). Post hoc test using LSD method also confirmed such significant difference between the visfatin serum level of interval and continuous group compared to the control group (P = 0.003, P = 0.025). Also, there was a significant difference between the rest interval and the continuous group (P = 0.003).

    The purpose of this research was to compare the effect of two types of aerobic exercise on serum visfatin (as an inflammatory marker of adipose tissue) and weight as well as BMI (as markers of inflammatory condition of obesity) of fat sedentary college girls. These variables were measured before and after the participation of the students in a progressively increasing exercise program either continuous or with rest intervals. Our results showed that both exercise types significantly decreased the level of inflammatory marker of visfatin, weight and BMI compared to the control group.

    From the time of discovery of the first adiponectin, leptin, fat tissue has been identified as an endocrine organ that plays a significant role in energy storage [23],[24]. Newly discovered adiponectin, visfatin, has been identified as a new adipokine preferentially produced in the visceral adipose tissue of obese mice and humans [25].

    Table 2.  LSD post hoc test for weight, BMI, and visfatin comparing interval, continuous exercise and control group.
    Variable Group Group Mean Difference (I-J) Std. Error Sig.
    Weight(kg) interval continuous −1.15 2.28 0.618
    control −6.78* 2.44 0.010
    continuous interval 1.15 2.28 0.618
    control −5.63* 2.35 0.023
    control interval 6.78* 2.44 0.010
    continuous 5.63* 2.35 0.023
    BMI(kg/mm) interval continuous 0.73 0.814 0.986
    control −1.21* 0.52 0.174
    continuous interval −0.73 0.56 0.040
    control −1.94* 0.52 0.174
    control interval 1.21* 0.54 0.001
    continuous 1.94* 0.56 0.040
    Visfatin(ng/ml) interval continuous −12.11* 0.54 0.001
    control −21.22* 3.99 0.000
    continuous interval 12.11* 3.72 0.003
    control −9.11* 3.83 0.025
    control interval 21.22* 3.99 0.000
    continuous 9.11* 3.83 0.025

    Note: * The mean difference is significant at the 0.05 level.

     | Show Table
    DownLoad: CSV

    Aerobic exercise is a common interventional method that leads weight loss and may be performed intervallic or continuously. Considering BMI as a serious health risk factor which increases nearly 4-fold higher risk of heart failure and 2-fold higher risk of stroke attack [5], we conclude that some beneficiary effects of aerobic exercise may acts through the decrease of visfatin which in turn decreases the BMI.

    The results of the present research were similar to those of several studies that showed plasma visfatin decreases in patients with type 2 and 1diabetic patients after aerobic exercise [26][29]. Also, it was showed that six weeks of swimming exercise significantly decreased the serum level of visfatin in rats [30]. These findings are also similar to those of some others which examined the effects of aerobic exercise on visfatin level in over weight populations [27]. For example, 12 weeks of aerobic exercise in diabetic obese women resulted in a decrease of visfatin level; 12 weeks of aerobic exercise performed at 60 to 75 percent of maximum heart rate significantly decreased the serum level of visfatin of sedentary obese women aged between 30 to 55 [30].

    Considering the fact that obesity prevalence is on the rise worldwide [31], and it has undesirable consequences on health matter even in sport populations [32], every measure including the use of different types of physical activity, particularly, aerobic exercise regardless of being performed intervallic or continuously are effective intervention to control or prevent it. These types of exercises also have beneficiary effect on variables involved in inflammation process. Visfatin can exert various deleterious effects on vascular cells, including inflammation and proliferation [33].

    Finally, the researcher admits the limitation of this study. More research including larger sample size, male gender, longer periods of exercise and other modes of exercise are needed to make firm recommendations.

    Based on our findings, we may conclude that both types of interval or continuous aerobic exercise are effective in decreasing over weightiness and visfatin level, inflammatory markers that is a health risk factor. Aerobic exercise with rest or without rest interval has beneficiary effect on health risk factors.



    [1] Companhia Nacional de Abastecimento CONAB (2020) Acompanhamento da safra brasileira de grãos, safra 2019/20—Décimo primeiro levantamento, Brasília, 1. Available from: https://www.conab.gov.br/info-agro/safras/graos.
    [2] FAOSTAT Crops (2019) Available from: http://www.fao.org/faostat/en/#data/QC.
    [3] EMBRAPA (2017) Centro-Oeste lidera produção agrícola brasileira. Available from: https://www.gov.br/agricultura/pt-br/assuntos/noticias/centro-oeste-lidera-producao-agricola-brasileira.
    [4] SEAB. Feijão-Análise da Conjuntura Agropecuária. Available from: http://www.agricultura.pr.gov.br/arquivos/File/deral/Prognosticos/2018/feijão_2018_versao_1.pdf
    [5] Fabbri AD, Crosby GA (2016) A review of the impact of preparation and cooking on the nutritional quality of vegetables and legumes. Int J Gastron Food Sci 3: 2-11. doi: 10.1016/j.ijgfs.2015.11.001
    [6] Hess SY (2017) National risk of Zn deficiency as estimated by national surveys. Food Nutr Bull 38: 3-17. doi: 10.1177/0379572116689000
    [7] Gupta S, Brazier AKM, Lowe NM (2020) Zn deficiency in low-and middle-income countries: Prevalence and approaches for mitigation. J Hum Nutr Diet 33: 624-643. doi: 10.1111/jhn.12791
    [8] Cascio MJ, DeLoughery TG (2017) Anemia: Evaluation and diagnostic tests. Med Clin N Am 101: 263-284. doi: 10.1016/j.mcna.2016.09.003
    [9] Esteves AM, Abreu CD, Santos CD, et al. (2002) Comparação química e enzimática de seis linhagens de feijão (Phaseolus vulgaris L.). Ciênc Agrotec 26: 999-1005.
    [10] CIAT (2020) International Center for Tropical Agriculture. Available from: https://genebank.ciat.cgiar.org/genebank/bshowcollection.do?type=search&by=showall&collection=bean&new=new&category=.
    [11] Embrapa (2015) Alimentos biofortificados buscam reduzir a desnutrição da população. Brasília: Portal Embrapa. Available from: https://www.embrapa.br/busca-de-noticias/-/noticia/3254365/alimentos-biofortificados-buscam-reduzir-a-desnutricao-da-populacao.
    [12] Molina MR, Fuente G, Bressani R (1975) Interrelationships between storage, soaking time, cooking time, nutritive value and other characteristics of the black bean (Phaseolus vulgaris). Food Sci Technol 40: 587-591.
    [13] Zenebon O, Pascuet NS (2005) Métodos físico-químicos para análise de alimentos. In: Métodos físico-químicos para análise de alimentos, 4 Eds., São Paulo: IAL, 1018-1018.
    [14] Official methods of analysis (1984) Association of official Analytical Chemists, 40a Ed, USA.
    [15] Kjeldahl, J (1883) Neue Methode zur Bestimmung des Stickstoffs in organischen Körpern. Fresenius, Zeitschrift f anal Chemie 22: 366-382.
    [16] Haug W, Lantzsch HJ (1983) Sensitive method for the rapid determination of phytate in cereals and cereal products. J Sci Food Agric 34: 1423-1426. doi: 10.1002/jsfa.2740341217
    [17] Price ML, Hagerman AE, Butler LG. (1980). Tannin content of cowpeas, chickpeas, pigeon peas, and mung beans. J Agric Food Chem 28: 459-461. doi: 10.1021/jf60228a047
    [18] ASSISTAT (2017) Assistência estatística. Available from: http://www.assistat.com/indexp.html.
    [19] StatSoft (2012) Electronic Statistics Textbook. Tulsa, OK: StatSoft. Available from: http://www.statsoft.com/textbook/.
    [20] Ribeiro ND, Steckling SDM, Mezzomo HC, et al. (2019) Genetic parameters and combined selection for phosphorus, phytate, Fe, and Zn in Mesoamerican common bean lines. Agricultural Sciences·Ciênc Agrotec 43, Available from: https://doi.org/10.1590/1413-7054201943027818.
    [21] Rezende AA, Pacheco MTB, Silva VSND, et al. (2017) Nutritional and protein quality of dry Brazilian beans (Phaseolus vulgaris L.). Food Sci Technol 38: 421-427.
    [22] Ojo, MA (2020) Phytic acid in legumes: A review of nutritional importance and hydrothermal processing effect on underutilised species. Food Res 5: 22-28. doi: 10.26656/fr.2017.5(3).325
    [23] Petry N, Egli I, Campion B, et al. (2013) Genetic reduction of phytate in common bean (Phaseolus vulgaris L.) seeds increases Fe absorption in young women. J Nutr 143: 1219-1224.
    [24] Akond MA, Crawford H, Berthold J, et al. (2011) Minerals (Zn, Fe, Ca and Mg) and antinutrient (phytic acid) constituents in common bean. Am J Food Technol 6: 235-243. doi: 10.3923/ajft.2011.235.243
    [25] Guzmán-Maldonado SH, Acosta-Gallegos J, Paredes-López O (2000) Protein and mineral content of a novel collection of wild and weedy common bean (Phaseolus vulgaris L). J Sci Food Agric 80: 1874-1881. doi: 10.1002/1097-0010(200010)80:13<1874::AID-JSFA722>3.0.CO;2-X
    [26] Carvalho LJ, Corrêa M, Pereira E, Nutti M, et al. (2012). Fe and Zn retention in common beans (Phaseolus vulgaris L.) after home cooking. Food Nutr Res 56: 15618.
    [27] Pires CV, Oliveira MGA, Cruz GADR, et al. (2005) Composição físico-química de diferentes cultivares de feijão (Phaseolus vulgaris L.). Alim Nutr Araraquara 16: 157-162.
    [28] TBCA (2019) Tabela Brasileira de Composição de Alimentos. Version 7.0. Available from: http://www.fcf.usp.br/tbca/.
    [29] Zemolin AEM, Ribeiro ND, Casagrande CR, et al. (2016) Genetic parameters of Fe and Zn concentrations in Andean common bean seeds. Acta Sci, Agron 38: 439-446. doi: 10.4025/actasciagron.v38i4.30652
    [30] Teixeira RDK, Lima S, Abreu DC, et al. (2015) Implications of early selection for grain colour on Fe and Zn content and productivity of common bean. Plant Breed 134: 193-196. doi: 10.1111/pbr.12241
    [31] Ramalho MAP, Ferreira DF, Oliveira AC (2012) Experimentação em Genética e Melhoramento de Plantas, 3rd Edn. UFLA, Lavras.
    [32] Blair MW, Astudillo C, Grusak MA, et al. (2009) Inheritance of seed Fe and Zn concentrations in common bean (Phaseolus vulgaris L.). Mol Breed 23: 197-207.
    [33] Izquierdo P, Astudillo C, Blair MW, et al. (2018). Meta-QTL analysis of seed Fe and Zn concentration and content in common bean (Phaseolus vulgaris L.). Theor Appl Genet 131: 1645-1658.
    [34] Gelin JR, Forster S, Grafton KF, et al. (2007) Analysis of seed-Zn and other nutrients in a recombinant inbred population of navy bean (Phaseolus vulgaris L.). Crop Sci 47: 1361-1366.
    [35] Mukamuhirwa F, Tusiime G, Mukankusi MC (2015) Inheritance of high Fe and Zn concentration in selected bean varieties. Euphytica 205: 349-360. doi: 10.1007/s10681-015-1385-4
    [36] Feitosa S, Greiner R, Meinhardt AK, et al. (2018) Effect of traditional household processes on Fe, Zn and copper bioaccessibility in black bean (Phaseolus vulgaris L.). Foods 7: 123.
    [37] Moura NCD, Canniatti BSG (2006) Avaliação da disponibilidade de ferro de feijão comum (Phaseolus vulgaris L.) em comparação com carne bovina. Food Sci Technol 26: 270-276.
    [38] Faria MA, Araújo A, Pinto E, et al. (2018) Bioaccessibility and intestinal uptake of minerals from different types of home-cooked and ready-to-eat beans. J Func Foods 50: 201-209. doi: 10.1016/j.jff.2018.10.001
    [39] Castro-Alba V, Lazarte CE, Bergenståhl B, et al. (2019) Phytate, Fe, Zn, and calcium content of common Bolivian foods and their estimated mineral bioavailability. Food Sci, Nutr 7: 2854-2865. doi: 10.1002/fsn3.1127
    [40] Vaz-Tostes MDG, Verediano TA, de Mejia EG et al. (2016) Avaliação da biodisponibilidade de ferro e Zno em grãos destinados à biofortificação por meio de modelos in vitro e in vivo e seu efeito no estado nutricional de pré-escolares. J Sci Food Agric 96: 1326-1332. doi: 10.1002/jsfa.7226
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