Abstract
The aim of this presented study was to develop and cluster cookies made with cocoa shell, a by-product of the chocolate industry, and nutritionally rich raw materials, soy and green banana flours, according to their nutritional characteristics and to evaluate them sensorially, through exploratory methods. The results of proximate composition, phenolic compounds, antioxidant activity, hardness and color were submitted to Kohonen’s self-organizing maps (KSOMs) and the samples trend to form three groups. All treatments showed functional properties due to their high protein content, dietary fiber, phenolic compounds, and antioxidants. All formulations had good sensory acceptance (grades between 6.71 and 7.11) and the simplex-centroid design used to optimize the acceptance was effective. The Check-All-That-Apply (CATA) analysis indicated sensory differences between the treatments. It is concluded that the KSOMs is effective to nutritionally describe and classify samples and cocoa shell, soy, and green banana flours provided nutritional and sensory characteristics acceptable to consumers, making them viable for inclusion in human nutrition.
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Anderson, J. W., Baird, P., Davis, R. H., Ferreri, S., Knudtson, M., Koraym, A., et al. (2009). Health benefits of dietary fiber. Nutrition Reviews, 67(4), 188–205. https://doi.org/10.1111/j.1753-4887.2009.00189.x.
AOAC INTERNATIONAL. (2016). Official methods of analysis. (J. George W. Latimer, Ed.) (20th ed.). Rockville: AACC International.
Badia-Melis, R., Qian, J. P., Fan, B. L., Hoyos-Echevarria, P., Ruiz-García, L., & Yang, X. T. (2016). Artificial neural networks and thermal image for temperature prediction in apples. Food and Bioprocess Technology, 9(7), 1089–1099. https://doi.org/10.1007/s11947-016-1700-7.
Belorio, M., Sahagún, M., & Gómez, M. (2019). Psyllium as a fat replacer in layer cakes: batter characteristics and cake quality. Food and Bioprocess Technology, 12(12), 2085–2092. https://doi.org/10.1007/s11947-019-02362-3.
BRASIL. (2012). Resolução RDC no 54, de 12 de novembro de 2012. Dispõe sobre o Regulamento Técnico sobre Informação Nutricional Complementar. Diário Oficial da União.
Brasil. ANVISA - Agência Nacional de Vigilância Sanitária. (1978). Resolução CNNPA no 12, de 1978. Normas técnicas especiais revistas pela CNNPA, 49–51.
Campuzano, A., Rosell, C. M., & Cornejo, F. (2018). Physicochemical and nutritional characteristics of banana flour during ripening. Food Chemistry, 256(November 2017), 11–17. https://doi.org/10.1016/j.foodchem.2018.02.113.
Choi, C. W., Kim, S. C., Hwang, S. S., Choi, B. K., Ahn, H. J., Lee, M. Y., Park, S. H., & Kim, S. K. (2002). Antioxidant activity and free radical scavenging capacity between Korean medicinal plants and flavonoids by assay-guided comparison. Plant Science, 163(6), 1161–1168. https://doi.org/10.1016/S0168-9452(02)00332-1.
Cruz, A. G., Cadena, R. S., Castro, W. F., Esmerino, E. A., Rodrigues, J. B., Gaze, L., Faria, J. A. F., Freitas, M. Q., Deliza, R., & Bolini, H. M. A. (2013). Consumer perception of probiotic yogurt: performance of check all that apply (CATA), projective mapping, sorting and intensity scale. Food Research International, 54(1), 601–610. https://doi.org/10.1016/j.foodres.2013.07.056.
Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1(2), 224–227. https://doi.org/10.1109/TPAMI.1979.4766909.
de Almeida, M. M. C., Francisco, C. R. L., de Oliveira, A., de Campos, S. S., Bilck, A. P., Fuchs, R. H. B., Gonçalves, O. H., Velderrama, P., Genena, A. K., & Leimann, F. V. (2018). Textural, color, hygroscopic, lipid oxidation, and sensory properties of cookies containing free and microencapsulated chia oil. Food and Bioprocess Technology, 11(5), 926–939. https://doi.org/10.1007/s11947-018-2057-x.
dos S. Silva, E., da Silva, E. G. P., dos S. Silva, D., Novaes, C. G., Amorim, F. A. C., dos Santos, M. J. S., & Bezerra, M. A. (2019). Evaluation of macro and micronutrient elements content from soft drinks using principal component analysis and Kohonen self-organizing maps. Food Chemistry, 273(June 2017), 9–14. https://doi.org/10.1016/j.foodchem.2018.06.021.
Erdős, B., Grachten, M., Czermak, P., & Kovács, Z. (2018). Artificial neural network-assisted spectrophotometric method for monitoring fructo-oligosaccharides production. Food and Bioprocess Technology, 11(2), 305–313. https://doi.org/10.1007/s11947-017-2011-3.
Espinosa-Sandoval, L. A., Cerqueira, M. A., Ochoa-Martínez, C. I., & Ayala-Aponte, A. A. (2019). Phenolic compound–loaded nanosystems: artificial neural network modeling to predict particle size, polydispersity index, and encapsulation efficiency. Food and Bioprocess Technology, 12(8), 1395–1408. https://doi.org/10.1007/s11947-019-02298-8.
European Commission. (2012). Regulation (EC) No. 1924/2006 of the European Parliament and of the Council of 20 December 2006 on nutrition and health claims made on foods.
FAO, & WHO. (2017). Guidelines on nutrition labelling CAC/ GL 2-1985 as last amended 2017. Codex Alimentarius. International Food Standards, 10.
Ferreira, D. S., Poppi, R. J., & Lima Pallone, J. A. (2015). Evaluation of dietary fiber of Brazilian soybean (Glycine max) using near-infrared spectroscopy and chemometrics. Journal of Cereal Science, 64, 43–47. https://doi.org/10.1016/j.jcs.2015.04.004.
Fustier, P., Castaigne, F., Turgeon, S. L., & Biliaderis, C. G. (2008). Flour constituent interactions and their influence on dough rheology and quality of semi-sweet biscuits: a mixture design approach with reconstituted blends of gluten, water-solubles and starch fractions. Journal of Cereal Science, 48(1), 144–158. https://doi.org/10.1016/j.jcs.2007.08.015.
Hinneburg, I., Damien Dorman, H. J., & Hiltunen, R. (2006). Antioxidant activities of extracts from selected culinary herbs and spices. Food Chemistry, 97(1), 122–129. https://doi.org/10.1016/j.foodchem.2005.03.028.
Jan, K. N., Panesar, P. S., & Singh, S. (2018). Optimization of antioxidant activity, textural and sensory characteristics of gluten-free cookies made from whole indian quinoa flour. Lwt, 93(December 2017), 573–582. https://doi.org/10.1016/j.lwt.2018.04.013.
Kodogiannis, V. S. (2017). Application of an electronic nose coupled with fuzzy-wavelet network for the detection of meat spoilage. Food and Bioprocess Technology, 10(4), 730–749. https://doi.org/10.1007/s11947-016-1851-6.
Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43(1), 59–69. https://doi.org/10.1007/BF00337288.
Kondakci, T., & Zhou, W. (2017). Recent applications of advanced control techniques in food industry. Food and Bioprocess Technology, 10(3), 522–542. https://doi.org/10.1007/s11947-016-1831-x.
Lê, S., & Husson, F. (2008). SensoMineR: a package for sensory data analysis. Journal of Sensory Studies, 23(1), 14–25. https://doi.org/10.1111/j.1745-459X.2007.00137.x.
Lê, S., Josse, J., & Husson, F. (2008). FactoMineR : an R package for multivariate analysis. Journal of Statistical Software, 25(1). https://doi.org/10.18637/jss.v025.i01.
Lecumberri, E., Mateos, R., Izquierdo-Pulido, M., Rupérez, P., Goya, L., & Bravo, L. (2007). Dietary fibre composition, antioxidant capacity and physico-chemical properties of a fibre-rich product from cocoa (Theobroma cacao L.). Food Chemistry, 104(3), 948–954. https://doi.org/10.1016/j.foodchem.2006.12.054.
Lessa, O. A., dos S. Reis, N., Leite, S. G. F., Gutarra, M. L. E., Souza, A. O., Gualberto, S. A., et al. (2018). Effect of the solid state fermentation of cocoa shell on the secondary metabolites, antioxidant activity, and fatty acids. Food Science and Biotechnology, 27(1), 107–113. https://doi.org/10.1007/s10068-017-0196-x.
Ma, M., Sun, Q.-J., Li, M., & Zhu, K.-X. (2020). Deterioration mechanisms of high-moisture wheat-based food – a review from physicochemical, structural, and molecular perspectives. Food Chemistry, 318, 126495. https://doi.org/10.1016/j.foodchem.2020.126495.
Malenčić, D., Cvejić, J., & Miladinović, J. (2012). Polyphenol content and antioxidant properties of colored soybean seeds from Central Europe. Journal of Medicinal Food, 15(1), 89–95. https://doi.org/10.1089/jmf.2010.0329.
Martínez-Cervera, S., Salvador, A., Muguerza, B., Moulay, L., & Fiszman, S. M. (2011). Cocoa fibre and its application as a fat replacer in chocolate muffins. LWT - Food Science and Technology, 44(3), 729–736. https://doi.org/10.1016/j.lwt.2010.06.035.
Medina, M. B. (2011). Determination of the total phenolics in juices and superfruits by a novel chemical method. Journal of Functional Foods, 3(2), 79–87. https://doi.org/10.1016/j.jff.2011.02.007.
Meyners, M., Castura, J. C., & Carr, B. T. (2013). Existing and new approaches for the analysis of CATA data. Food Quality and Preference, 30(2), 309–319. https://doi.org/10.1016/j.foodqual.2013.06.010.
Meyners, M., Castura, J. C., & Worch, T. (2016). Statistical evaluation of panel repeatability in Check-All-That-Apply questions. Food Quality and Preference, 49, 197–204. https://doi.org/10.1016/j.foodqual.2015.12.010.
Moreira, L. S., Chagas, B. C., Pacheco, C. S. V., Santos, H. M., de Menezes, L. H. S., Nascimento, M. M., Batista, M. A. S., de Jesus, R. M., Amorim, F. A. C., Santos, L. N., & da Silva, E. G. P. (2019). Development of procedure for sample preparation of cashew nuts using mixture design and evaluation of nutrient profiles by Kohonen neural network. Food Chemistry, 273(January 2018), 136–143. https://doi.org/10.1016/j.foodchem.2018.01.050.
Ndife, J., Kida, F., & Fagbemi, S. (2014). Production and quality assessment of enriched cookies from whole wheat and full fat soya. European Journal of Food Science and Technology, 2(1), 19–28.
Novaes, C. G., da S. Romão, I. L., Santos, B. G., Ribeiro, J. P., Bezerra, M. A., & da Silva, E. G. P. (2017). Screening of Passiflora L. mineral content using principal component analysis and Kohonen self-organizing maps. Food Chemistry, 233, 507–513. https://doi.org/10.1016/j.foodchem.2017.04.111.
Okiyama, D. C. G., Navarro, S. L. B., & Rodrigues, C. E. C. (2017). Cocoa shell and its compounds: applications in the food industry. Trends in Food Science and Technology, 63, 103–112. https://doi.org/10.1016/j.tifs.2017.03.007.
Park, J., Choi, I., & Kim, Y. (2015). Cookies formulated from fresh okara using starch, soy flour and hydroxypropyl methylcellulose have high quality and nutritional value. LWT - Food Science and Technology, 63(1), 660–666. https://doi.org/10.1016/j.lwt.2015.03.110.
Pearce, J. G., Shaar, Z., & Crosbie, R. E. (1977). Scattering of energetic ions by solids — a simulation. Simulation, 29(4), 97–104. https://doi.org/10.1177/003754977702900403.
Prieto, P., Pineda, M., & Aguilar, M. (1999). Spectrophotometric quantitation of antioxidant capacity through the formation of a phosphomolybdenum complex: specific application to the determination of vitamin E. Analytical Biochemistry, 269(2), 337–341. https://doi.org/10.1006/abio.1999.4019.
Prior, R., & Cao, G. (2000). In vivo total antioxidant capacity: comparison of different analytical methods. Free Radical Biology & Medicine, 27. https://doi.org/10.1016/S0891-5849(99)00203-8.
R Core Team. (2020). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing https://www.r-project.org/.
Rebello, L. P. G., Ramos, A. M., Pertuzatti, P. B., Barcia, M. T., Castillo-Muñoz, N., & Hermosín-Gutiérrez, I. (2014). Flour of banana (Musa AAA) peel as a source of antioxidant phenolic compounds. Food Research International, 55, 397–403. https://doi.org/10.1016/j.foodres.2013.11.039.
Rufino, M. d. S. M., Alves, R. E., de Brito, E. S., Pérez-Jiménez, J., Saura-Calixto, F., & Mancini-Filho, J. (2010). Bioactive compounds and antioxidant capacities of 18 non-traditional tropical fruits from Brazil. Food Chemistry, 121(4), 996–1002. https://doi.org/10.1016/j.foodchem.2010.01.037.
Scheffe, H. (1963). The simplex-centroid design for experiments with mixtures. Journal of the Royal Statistical Society, 25(2), 235–263.
Serrien, B., Goossens, M., & Baeyens, J.-P. (2017). Issues in using self-organizing maps in human movement and sport science. International Journal of Computer Science in Sport, 16(1), 1–17. https://doi.org/10.1515/ijcss-2017-0001.
Shi, C., Yang, X., Han, S., Fan, B., Zhao, Z., Wu, X., & Qian, J. (2018). Nondestructive prediction of tilapia fillet freshness during storage at different temperatures by integrating an electronic nose and tongue with radial basis function neural networks. Food and Bioprocess Technology, 11(10), 1840–1852. https://doi.org/10.1007/s11947-018-2148-8.
Silva, T. F., & Conti-Silva, A. C. (2018). Potentiality of gluten-free chocolate cookies with added inulin/oligofructose: chemical, physical and sensory characterization. LWT - Food Science and Technology, 90(December 2017), 172–179. https://doi.org/10.1016/j.lwt.2017.12.031.
Silva, E.S., da Silva, E.G.P., Silva, D.S., Novaes, C.G., Amorim, F.A.C., dos Santos, M.J.S. & Bezerra, M.A. (2019). Evaluation of macro and micronutrient elements content from soft drinks using principal component analysis and Kohonen self-organizing maps. Food Chemistry, 273, 9–14. https://doi.org/10.1016/j.foodchem.2018.06.021.
Sun, Q., Zhang, M., Mujumdar, A. S., & Yang, P. (2019). Combined LF-NMR and artificial intelligence for continuous real-time monitoring of carrot in microwave vacuum drying. Food and Bioprocess Technology, 12(4), 551–562. https://doi.org/10.1007/s11947-018-2231-1.
Varela, P., & Ares, G. (2012). Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization. Food Research International, 48(2), 893–908. https://doi.org/10.1016/j.foodres.2012.06.037.
Vatanen, T., Osmala, M., Raiko, T., Lagus, K., Sysi-Aho, M., Orešič, M., Honkela, T., & Lähdesmäki, H. (2015). Self-organization and missing values in SOM and GTM. Neurocomputing, 147(1), 60–70. https://doi.org/10.1016/j.neucom.2014.02.061.
Venturini, L. H., Moreira, T. F. M., da Silva, T. B. V., de Almeida, M. M. C., Francisco, C. R. L., de Oliveira, A., de Campos, S. S., Bilck, A. P., de Souza Leone, R., Tanamati, A. A. C., Gonçalves, O. H., & Leimann, F. V. (2019). Partial substitution of margarine by microencapsulated chia seeds oil in the formulation of cookies. Food and Bioprocess Technology, 12(1), 77–87. https://doi.org/10.1007/s11947-018-2188-0.
Yangılar, F. (2015). Effects of green banana flour on the physical, chemical and sensory properties of ice cream. Food Technology and Biotechnology, 53(3), 315–323. https://doi.org/10.17113/ftb.53.03.15.3851.
Funding
The authors are grateful for the financial support of: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Procad 8881.068456/2014-01, CAPES, Brazil), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Bolsas de Produtividade em Pesquisa 302259/2018-0, 302699/2019-8, CNPq, Brazil), Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB), Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), State University of Southwest Bahia (UESB, Itapetinga, Bahia, Brazil) and Federal University of Lavras (UFLA, Lavras, Minas Gerais, Brazil).
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de Barros, H.E.A., Natarelli, C.V.L., de Carvalho Tavares, I.M. et al. Nutritional Clustering of Cookies Developed with Cocoa Shell, Soy, and Green Banana Flours Using Exploratory Methods. Food Bioprocess Technol 13, 1566–1578 (2020). https://doi.org/10.1007/s11947-020-02495-w
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DOI: https://doi.org/10.1007/s11947-020-02495-w