Effect of Residence Time and Enzyme Load on the Synthesis of Fructo-oligosaccharides in an Enzymatic Membrane Reactor – Summary

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Andrea Vörös
Zoltán Kovács
László Sipos

Abstract

With the rise of health-conscious consumer attitudes, functional foods with beneficial effects are gaining popularity, which have been shown to have a positive impact on health and may reduce the risk of developing various diseases. In our research, we focused on oligosaccharides within the prebiotic food groups, in particular fructo-oligosaccharides (FOS). Enzymatic synthesis of FOS from sucrose can be carried out in batch or continuous reactors. In order to meet market needs, large-scale industrial production requires targeted research on the optimisation of various operational parameters that maximize conversion rates. In this study, we investigated the conversion of sucrose into fructo-oligosaccharides in batch and continuous reactors with respect to operational parameters that have a major influence on the yield of fructo-oligosaccharides. The sucrose to fructo-oligosaccharide conversion in a continuous enzyme membrane reactor was investigated by varying the enzyme load (5–40 g/kg) and the residence time (1.1 h–2.0 h). The carbohydrate composition of the resulting products was investigated by high performance liquid chromatography. During the synthesis in a batch stirred tank reactor, the sucrose concentration was more than halved compared to the initial concentration, while fructo-oligosaccharides were present in the product at approximately 45%. Our results indicate that although the enzyme membrane reactor underperformes stirred-tank reactors in term of product yield (45% vs 9.5–40.5%), it allows the production of enzyme-free FOS in a continuous fashion. With the use of higher enzyme concentrations and/or longer residence times, fructo-oligosaccharides with a higher degree of polymerisation (GF3) have also appeared in the product flow. The results were used to determine the optimal settings of operational parameters, such as residence time and enzyme load, to achieve the highest possible conversion.

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How to Cite
Vörös, A., Kovács, Z., & Sipos, L. (2023). Effect of Residence Time and Enzyme Load on the Synthesis of Fructo-oligosaccharides in an Enzymatic Membrane Reactor – Summary. Journal of Food Investigation, 69(2), 4399–4409. https://doi.org/10.52091/EVIK-2023/2-1-HUN
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References

Niva, M. (2007). ‘All foods affect health’: understandings of functional foods and healthy eating among health-oriented Finns. Appetite, 48(3), 384-393. https://doi.org/10.1016/j.appet.2006.10.006

Illanes, A., & Guerrero, C. (2016). Functional foods and feeds: Probiotics, prebiotics, and synbiotics. In Lactose-derivedprebiotics: A process perspective (35-86). Elsevier Inc. https://doi.org/10.1016/B978-0-12-802724-0.00002-0

Roberfroid, M. B. (2002). Global view on functional foods: European perspectives. British Journal of Nutrition, 88(S2), S133-S138. https://doi.org/10.1079/BJN2002677

Biró, Gy. (2015). Élelmiszerek élettani funkciói – funkcionális élelmiszerek (EOQ MNB Szakmai konferencia, 2015.11.25.) http://www.eoq.hu/szakb/3/szeged/biro.pdf (letöltés 2016.10.28.)

Salminen, S. (2001). Human studies on probiotics: aspects of scientific documentation. Näringsforskning, 45(1), 8-12. https://doi.org/10.3402/fnr.v45i0.1783

Rastall, R. A. (2010). Functional oligosaccharides: application and manufacture. Annual review of food science and technology, 1, 305-339. https://doi.org/10.1146/annurev.food.080708.100746

Gibson, G. R., & Roberfroid, M. B. (1995). Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. The Journal of nutrition, 125(6), 1401-1412. https://doi.org/10.1093/jn/125.6.1401

Grajek, W., Olejnik, A., & Sip, A. (2005). Probiotics, prebiotics and antioxidants as functional foods. Acta Biochimica Polonica, 52(3), 665-671. https://doi.org/10.18388/abp.2005_3428

Yun, J. W. (1996). Fructo-oligosaccharides – occurrence, preparation, and application. Enzyme and microbialtechnology, 19(2), 107-117. https://doi.org/10.1016/0141-0229(95)00188-3

Sánchez, O., Guio, F.,Garcia, D., Silva, E., & Caicedo, L. (2008). Fructooligo saccharides production by Aspergillus sp. N74 in a mechanically agitate dairlift reactor. Food and bioproducts processing, 86(2), 109-115. https://doi.org/10.1016/j.fbp.2008.02.003

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, 305-313. https://link.springer.com/article/10.1007/s11947-017-2011-3

Antošová, M., Polakovič, M., & Báleš, V. (1999). Separation of fructooligosaccharides on a cation-exchange HPLC column in silver form with refractometric detection. Biotechnology techniques, 13, 889-892. https://link.springer.com/article/10.1023/A:1008986426849

Udomkun, P., Rungpichayapichet, P., Phuangcheen, N., & Innawong, B. (2021). Rapid determination of fructooligosaccharide in solar-dried banana syrup by using near-infrared spectroscopy. Journal of Food Measurement and Characterization, 15, 3397-3407.https://doi.org/10.1007/s11694-021-00911-z