Journals / Gıda / 2021 / Cilt: 46 - Sayı: 6

INVESTIGATION OF SEVERAL FACTORS ON ENZYMATIC HYDROLYSIS OF SUGAR BEET PULP AND CORN COB: STATISTICAL ANALYSES OF THE EXPERIMENTAL RESULTS

ŞEKER PANCARI KÜSPESİ VE MISIR KOÇANININ ENZİMATİK HİDROLİZİNDE FARKLI FAKTÖRLERİN ETKİSİNİN İNCELENMESİ: DENEY SONUÇLARININ İSTATİSTİKSEL ANALİZLERİ

Journal
Gıda
Pages
1369–1385
Publication Date
2021-10-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In CC hydrolysis, the use of nonionic surfactants (Tween 20 and Tween 80) under unpretreated conditions did not necessarily increase the yield of reducing sugar from untreated CC.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this work, sugar beet pulp (SBP) as a lignin poor biomass and corn cob (CC) as a lignin rich biomass were subjected to enzymatic hydrolysis to see the effects of various variables on reducing sugar yield.
📊
Key Findings & Data:In SBP hydrolysis, response surface methodology (RSM) and ANOVA were used to fit sugar yield and to determine significance of the parameters (substrate, pectinase, cellulase and hydrolysis time).
💡
Conclusion & Impact:In CC hydrolysis, the use of nonionic surfactants (Tween 20 and Tween 80) under unpretreated conditions did not necessarily increase the yield of reducing sugar from untreated CC.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:enzimatik hidroliz · şeker pancarı · mısır koçanı

Abstract

In this work, sugar beet pulp (SBP) as a lignin poor biomass and corn cob (CC) as a lignin rich biomass were subjected to enzymatic hydrolysis to see the effects of various variables on reducing sugar yield. In SBP hydrolysis, response surface methodology (RSM) and ANOVA were used to fit sugar yield and to determine significance of the parameters (substrate, pectinase, cellulase and hydrolysis time). The proposed quadratic model gave an adequate approximation indicating the significance of all main effects and some of the interaction effects (p < 0.05). The maximum yields within the design space were found approximately as 87 g/L after 18 h of hydrolysis, using 300 µl Cellic Ctec3 and 300 µl Pectinex Ultra SP-L at %20 substrate loading. In CC hydrolysis, the use of nonionic surfactants (Tween 20 and Tween 80) under unpretreated conditions did not necessarily increase the yield of reducing sugar from untreated CC.

Özet

Bu çalışmada, lignince düşük bir biyokütle olarak şeker pancarı küspesinin (SBP) ve lignince yüksek bir biyokütle olarak mısır koçanının (CC) enzimatik hidrolizinden elde edilecek indirgen şeker veriminde, çeşitli değişkenlerin göstereceği etkiler araştırılmıştır. SBP hidrolizinde, çeşitli parametrelerin (substrat, pektinaz, selülaz ve hidroliz süresi) şeker verimi modeline önemini belirlemek için tepki yüzeyi metodolojisi (RSM) ve ANOVA kullanılmıştır. Önerilen ikinci dereceden model, tüm ana etkilerin ve bazı etkileşim etkilerinin önemini gösteren yeterli bir yaklaşıklık vermiştir (P < 0.05). Tasarım alanı içindeki maksimum verimler, %20 substrat yüklemesinde 300 µl Cellic Ctec3 ve 300 µl Pectinex Ultra SP-L enzimleri kullanılarak 18 saatlik hidrolizden sonra yaklaşık 87 g/L olarak bulunmuştur. Ön işleme tabi tutulmamış CC hidrolizinde ise, iyonik olmayan surfektanların (Tween 20 ve Tween 80) indirgeyici şeker verimine fark yaratacak şekilde bir artırma etkisi görülmemiştir.

🔖

Cite This Article

YURTSEVEN, B. L., ERUNSAL, S. C., ÖZTOP, M. H. (2021). INVESTIGATION OF SEVERAL FACTORS ON ENZYMATIC HYDROLYSIS OF SUGAR BEET PULP AND CORN COB: STATISTICAL ANALYSES OF THE EXPERIMENTAL RESULTS. Gıda, Cilt: 46 - Sayı: 6, 1369–1385. https://ajindex.com/articles/394705

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (4)

  1. Adaganti, S.Y., Yaliwal, V.S., Kulkarni, B.M., Desai, G.P. & Banapurmath, N.R. (2014). Factors Affecting Bioethanol Production from Lignocellulosic Biomass (Calliandra calothyrsus). Waste and Biomass Valorization, 5, 963–971. Arenas-Cárdenas, P., López-López, A., Moeller-Chávez, G.E. & León-Becerril, E. (2017). Current Pretreatments of Lignocellulosic Residues in the Production of Bioethanol. Waste and Biomass Valorization, 8, 161–181.
  2. Arumugam, A., Malolan, V.V. & Ponnusami, V. (2020). Contemporary Pretreatment Strategies for Bioethanol Production from Corncobs: A Comprehensive Review. Waste and Biomass Valorization. Springer Netherlands. Astray, G., Gullón, B., Labidi, J. & Gullón, P. (2016). Comparison between developed models using response surface methodology (RSM) and artificial neural networks (ANNs) with the purpose to optimize oligosaccharide mixtures production from sugar beet pulp. Industrial Crops and Products, 92, 290–299.
  3. Atkinson, E.J. & Therneau, T.M. (2000). An Introduction to Recursive Partitioning Using the RPART Routines Basic steps needed to use rpart Rpart model options Plotting options. Nd. Berlowska, J., Binczarski, M., Dziugan, P., Wilkowska, A., Kregiel, D. & Witonska, I. (2018). Sugar Beet Pulp as a Source of Valuable Biotechnological Products. Advances in Biotechnology for Food Industry. Elsevier Inc. Cieciura-Włoch, W., Borowski, S. & Otlewska, A. (2020). Biohydrogen production from fruit and vegetable waste, sugar beet pulp and corn silage via dark fermentation. Renewable Energy, 153, 1226–1237.
  4. Donkoh, E., Degenstein, J., Tucker, M. & Ji, Y. (2012). Optimization of Enzymatic Hydrolysis of Dilute Acid Pretreated Sugar Beet Pulp Using Response Surface Design. Journal of Sugarbeet Research. Dyk, J.S. Van & Pletschke, B.I. (2012). A review of lignocellulose bioconversion using enzymatic hydrolysis and synergistic cooperation between enzymes-Factors affecting enzymes, conversion and synergy. Biotechnology Advances. Eriksson, T., Börjesson, J. & Tjerneld, F. (2002). Mechanism of surfactant effect in enzymatic hydrolysis of lignocellulose. Enzyme and Microbial Technology. Ghose, T.K. (1987). Measurement of cellulase activities. Pure and Applied Chemistry. Helle, S.S., Duff, S.J.B. & Cooper, D.G. (1993). Effect of surfactants on cellulose hydrolysis. Biotechnology and Bioengineering. Kaar, W.E. & Holtzapple, M.T. (1998). Benefits from Tween during enzymic hydrolysis of corn stover. Biotechnology and Bioengineering. Karagöz, P., Rocha