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Research Article

Optimization of a Process for the Enzymatic Extraction of Nutrient Enriched Bael Fruit Juice Using Artificial Neural Network (ANN) and Response Surface Methodology (RSM)

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Pages S1845-S1861 | Published online: 20 Oct 2020

References

  • Akintunde, A.M., S.O. Ajala, and E. Betiku. 2015. Optimization of Bauhinia monandra seed oil extraction via artificial neural network and response surface methodology: A potential biofuel candidate. Ind. Crops Prod. 67:387–394. doi: 10.1016/j.indcrop.2015.01.056.
  • Altemimi, A., D.G. Watson, R. Choudhary, M.R. Dasari, and D.A. Lightfoot. 2016. Ultrasound assisted extraction of phenolic compounds from peaches and pumpkins. PloS One 11(2):e0148758.
  • Bag, S., P. Srivastav, and H. Mishra. 2009. Desorption and adsorption characteristics of bael (Aegle marmelos) pulp and powder. Int. Food Res. J. 16:561–569.
  • Bhattacherjee, A., A. Dikshit, D. Pandey, and D. Tandon. 2015. High performance liquid chromatographic determination of marmelosin and psoralen in bael (Aegle marmelos (L.) Correa) fruit. J. Food Sci. Technol. 52(1):597–600. doi: 10.1007/s13197-013-1015-x.
  • Chegini, G., J. Khazaei, B. Ghobadian, and A. Goudarzi. 2008. Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks. J. Food. Eng. 84(4):534–543. doi: 10.1016/j.jfoodeng.2007.06.007.
  • Chen, M.-J., K.-N. Chen, and C.-W. Lin. 2005. Optimization on response surface models for the optimal manufacturing conditions of dairy tofu. J. Food. Eng. 68(4):471–480. doi: 10.1016/j.jfoodeng.2004.06.028.
  • Coit, D.W., B.T. Jackson, and A.E. Smith. 1998. Static neural network process models: Considerations and case studies. Int. J. Prod. Res. 36(11):2953–2967.
  • Erbay, Z., and F. Icier. 2009. Optimization of hot air drying of olive leaves using response surface methodology. J. Food. Eng. 91(4):533–541. doi: 10.1016/j.jfoodeng.2008.10.004.
  • Ghosh, P., R.C. Pradhan, and S. Mishra. 2016. Optimization of process parameters for enhanced production of Jamun juice using Pectinase (Aspergillus aculeatus) enzyme and its characterization. 3 Biotech. 6(2):241.
  • Goldberg, D. 1989. Genetic algorithms in search. Optimization and machine learning. Addism1—Wesley, Reading, MA.
  • Gurung, N., S. Ray, S. Bose, and V. Rai. 2013. A broader view: Microbial enzymes and their relevance in industries, medicine, and beyond. Biomed. Res. Int. 2013.
  • Hornik, K. 1993. Some new results on neural network approximation. Neural Networks 6(8):1069–1072. doi: 10.1016/S0893-6080(09)80018-X.
  • Hornik, K., M. Stinchcombe, and H. White. 1989. Multilayer feedforward networks are universal approximators. Neural Networks 2(5):359–366. doi: 10.1016/0893-6080(89)90020-8.
  • Hugget, A., P. Sebastian, and J.P. Nadeau. 1999. Global optimization of a dryer by using neural networks and genetic algorithms. AIChE J. 45(6):1227–1238. doi: 10.1002/aic.690450609.
  • Ioana, V.S., L. Marieta, and L. Vasile. 2015. The effect of enzymatic treatment on bioactive compounds and antioxidant capacity of pasteurized apple juice. Analele Univ. Oradea 25:127–132.
  • Jindal, M., V. Kumar, V. Rana, and A. Tiwary. 2013. Aegle marmelos fruit pectin for food and pharmaceuticals: Physico-chemical, rheological and functional performance. Carbohydr. Polym. 93(2):386–394. doi: 10.1016/j.carbpol.2012.12.012.
  • Joglekar, A.M., A.T. May, E. Graf, and I. Saguy. 1987. Product excellence through experimental design. Food product and development: From concept to the marketplace 211.
  • Kittur, F.S., A.B.V. Kumar, and R.N. Tharanathan. 2003. Low molecular weight chitosans—preparation by depolymerization with Aspergillus niger pectinase, and characterization. Carbohydr. Polym. 338(12):1283–1290. doi: 10.1016/S0008-6215(03)00175-7.
  • Mohanty, S., S. Mishra, and R.C. Pradhan. 2018. Optimisation of enzymatic extraction and characterization of palm (Borassus flabellifer) juice. J. Food Meas. Charact. 12(4):2644–2656. doi: 10.1007/s11694-018-9882-5.
  • Nadulski, R., Z. Kobus, K. Wilczyński, K. Zawiślak, J. Grochowicz, and T. Guz. 2016. Application of freezing and thawing in apple (Malus domestica) juice extraction. J. Food Sci. 81(11):E2718–E2725. doi: 10.1111/1750-3841.13514.
  • Nandi, S., P. Mukherjee, S. Tambe, R. Kumar, and B. Kulkarni. 2002. Reaction modeling and optimization using neural networks and genetic algorithms: Case study involving TS-1-catalyzed hydroxylation of benzene. Ind. Eng. Chem. Res. 41(9):2159–2169. doi: 10.1021/ie010414g.
  • Oyeleke, F., and A. Olaniyan. 2007. Extraction of juice from some tropical fruits using a small scale multi-fruit juice extractor, p. 1803–1808. In: Book extraction of juice from some tropical fruits using a small scale multi-fruit juice extractor. African Crop Science Society, El-Minia, Egypt.
  • Panda, S., U. Sahu, S. Behera, and R. Ray. 2014. Bio-processing of bael (Aegle marmelos L.) fruits into wine with antioxidants. Food Biosci. 5:34–41.
  • Paul, R., and U. Ghosh. 2012. Effect of thermal treatment on ascorbic acid content of pomegranate juice. Indian J. Biotechnol. 11:309–312.
  • Pradhan, D., S. Abdullah, and R.C. Pradhan. 2020. Optimization of pectinase assisted extraction of Chironji (Buchanania Lanzan) fruit juice using response surface methodology and artificial neural network. Int. J. Fruit Sci. 1–19. https://doi.org/10.1080/15538362.2020.1734895
  • Rai, P., G. Majumdar, S. DasGupta, and S. De. 2005. Prediction of the viscosity of clarified fruit juice using artificial neural network: A combined effect of concentration and temperature. J. Food. Eng. 68(4):527–533.
  • Razmi-Rad, E., B. Ghanbarzadeh, S. Mousavi, Z. Emam-Djomeh, and J. Khazaei. 2007. Prediction of rheological properties of Iranian bread dough from chemical composition of wheat flour by using artificial neural networks. J. Food. Eng. 81(4):728–734.
  • Rekha, C., G. Poornima, M. Manasa, V. Abhipsa, J.P. Devi, V. Kumar, and T.R.P. Kekuda. 2012. Ascorbic acid, total phenol content and antioxidant activity of fresh juices of four ripe and unripe citrus fruits. Chem. Sci. Trans. 1(2):303–310.
  • Ripley, B.D., and N. Hjort. 1996. Pattern recognition and neural networks. Cambridge, United Kingdom: Cambridge university press.
  • Roy, S.K., and R. Singh. 1979. Bael fruit (Aegle marmelos)-a potential fruit for processing. Econ. Bot. 33(2):203–212.
  • Shen, C., L. Wang, and Q. Li. 2007. Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method. J. Mater. Process. Tech. 183(2–3):412–418.
  • Shrestha, G. 2000. Processing of wild Bael fruit for rural employment and income generation. ITDG Food Chain. p. 27.
  • Sin, H., S. Yusof, N.S.A. Hamid, and R.A. Rahman. 2006. Optimization of enzymatic clarification of sapodilla juice using response surface methodology. J. Food. Eng. 73(4):313–319.
  • Singh, A., H. Sharma, P. Kaushal, and A. Upadhyay. 2014. Bael (Aegle marmelos Correa) products processing: A review. Afr. J. Food Sci. 8(5):204–215.
  • Singleton, V.L., R. Orthofer, and R.M. Lamuela-Raventós. 1999. Analysis of total phenols and other oxidation substrates and antioxidants by means of folin-ciocalteu reagent. Methods in enzymology. Elsevier. p. 152–178.
  • Sivanandam, S., and S. Deepa. 2008. Genetic algorithms, p. 15–37. In: Introduction to genetic algorithms. Berlin, Heidelberg: Springer.
  • Sonawane, A., S.S. Pathak, and R.C. Pradhan. 2020. Physical, thermal, and mechanical properties of bael fruit. J. Food Proces. Eng. 43(6): e13393.
  • Srinivas, M., and L.M. Patnaik. 1994. Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans Syst Man Cybern 24(4):656–667.
  • Surajbhan, S., A. Singh, C. Joshi, and L. Rodrigues. 2012. Extraction and optimization of guava juice by using response surface methodology. Am. J. Food Technol. 7:326–339.
  • Vivek, K., S. Mishra, and R.C. Pradhan. 2019. Optimization of ultrasound‐assisted enzymatic extraction of Sohiong (Prunus nepalensis) juice. J. Food Proces. Eng. 42(1):e12948.
  • Xi, J., Y. Xue, Y. Xu, and Y. Shen. 2013. Artificial neural network modeling and optimization of ultrahigh pressure extraction of green tea polyphenols. Food Chem. 141(1):320–326.
  • Yang, B., X. Liu, and Y. Gao. 2009. Extraction optimization of bioactive compounds (crocin, geniposide and total phenolic compounds) from Gardenia (Gardenia jasminoides Ellis) fruits with response surface methodology. Innov. Food Sci. Emerg. Technol. 10(4):610–615.
  • Youssefi, S., Z. Emam-Djomeh, and S. Mousavi. 2009. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in the prediction of quality parameters of spray-dried pomegranate juice. Dry. Technol. 27(7–8):910–917.
  • Zbiciński, I., W. Kamiński, K. Ciesielski, and Ł.P. Strumił. 1997. Dynamic and hybrid neural model of thermal drying in a fluidized bed. Dry. Technol. 15(6–8):1743–1752.

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