Journals / Gıda / 2020 / Cilt: 45 - Sayı: 5

DETERMINATION EXTRACTION CONDITIONS FOR MAXIMUM PHENOLIC COMPOUNDS IN THE KIWIFRUIT USING RESPONSE SURFACE DESIGN

YANIT YÜZEY TASARIMI KULLANILARAK KİVİ MEYVESİNDEKİ MAKSİMUM FENOLİK BİLEŞİKLER İÇİN EKSTRAKSİYON KOŞULLARININ BELİRLENMESİ

Journal
Gıda
Pages
989–996
Publication Date
2020-08-19
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)

Conditions for maximum phenolic yield were found as A = 90%, B= 7.71 min, and C = 3 g, under this condition, DPPH of 88.96 %, ABTS of 739.07 mg/100g FW and TPC of 299.14 mg/100g fresh weight has been obtained.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The study aims to determine the extraction parameters for maximal phenolic compounds and antioxidant activity from kiwifruit by using response surface methodology (RSM).
📊
Key Findings & Data:Three independent variables were selected at three levels: methanol concentration (A: 60-75-90 %), ultrasound time (B: 5-10-15 min.), and mass of sample (C: 1-2-3 g).
💡
Conclusion & Impact:Conditions for maximum phenolic yield were found as A = 90%, B= 7.71 min, and C = 3 g, under this condition, DPPH of 88.96 %, ABTS of 739.07 mg/100g FW and TPC of 299.14 mg/100g fresh weight has been obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Kivi · Yanıt Yüzey Metodolojisi · Toplam Fenolik Madde

Abstract

The study aims to determine the extraction parameters for maximal phenolic compounds and antioxidant activity from kiwifruit by using response surface methodology (RSM). Box-Behnken experimental design of RSM was applied to determine the effect of extraction parameters. Three independent variables were selected at three levels: methanol concentration (A: 60-75-90 %), ultrasound time (B: 5-10-15 min.), and mass of sample (C: 1-2-3 g). Conditions for maximum phenolic yield were found as A = 90%, B= 7.71 min, and C = 3 g, under this condition, DPPH of 88.96 %, ABTS of 739.07 mg/100g FW and TPC of 299.14 mg/100g fresh weight has been obtained.

Özet

Bu çalışmanın ana odak noktası yanıt yüzey metodolojisi (RSM) kullanarak kivi meyvesinden olabildiğince fazla fenolik bileşik ve antioksidan aktivite için ekstraksiyon parametrelerini belirlemektir. Ekstraksiyon parametrelerinin etkisini belirlemek için RSM’de Box-Behnken deneysel tasarımı kullanıldı. Metanol konsantrasyonu (A: %60-75-90), ultrason süresi (B: 5-10-15 dakika) ve numune kütlesi (C: 1-2-3 g) olmak üzere üç seviyede üç bağımsız değişken seçildi. Bu şartlar altında maksimum fitokimyasal verim için koşullar A = % 90 metanol konsantrasyonu, B = 7.71 dakika ve C = 3 g olarak bulundu. Bu koşullar altındaki ekstraksiyon sonucu kivide DPPH % 88.96, ABTS 739.07 mg/100 g ve toplam fenolik içerik 299.14 mg/100 g tespit edildi.

🔖

Cite This Article

KASNAK, C., PALAMUTOĞLU, R. (2020). DETERMINATION EXTRACTION CONDITIONS FOR MAXIMUM PHENOLIC COMPOUNDS IN THE KIWIFRUIT USING RESPONSE SURFACE DESIGN. Gıda, Cilt: 45 - Sayı: 5, 989–996. https://ajindex.com/articles/100333

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Afroz Bakht, M., Geesi, M.H., Riadi, Y., Imran, M., Imtiyaz Ali, M., Ahsan, M.J., Ajmal, N. 2018. Ultrasound-assisted extraction of some branded tea: Optimization based on polyphenol content, antioxidant potential and thermodynamic study. Saudi J. Biol. Sci. 26(5):1043-1052, https://doi.org/10.1016/j.sjbs.2018.07.013
  2. Amodio, M.L., Colelli, G., Hasey, J.K., Kader, A.A. 2007. A comparative study of composition and postharvest performance of organically and conventionally grown kiwifruits. J. Sci. Food Agric. 87: 1228–1236, https://doi.org/10.1002/jsfa.2820
  3. Antolovich, M., Prenzler, P., Robards, K., Ryan, D. 2000. Sample preparation in the determination of phenolic compounds in fruits. Analyst 125: 989–1009, https://doi.org/10.1039/b000080i
  4. Baskararaj, S., Theivendren, P., Palanisamy, P., Kannan, S., Pavadai, P., Arunachalam, S., Sankaranarayanan, M., Mohan, U.P., Ramasamy, L., Kunjiappan, S. 2019. Optimization of bioactive compounds extraction assisted by microwave parameters from Kappaphycus alvarezii using RSM and ANFIS modeling. J. Food Meas. Charact. 13(4):2773-2789, https://doi.org/10.1007/s11694-019-00198-1
  5. Brand-Williams, W., Cuvelier, M.E., Berset, C. 1995. Use of a free radical method to evaluate antioxidant activity. LWT - Food Sci. Technol. 28: 25–30. https://doi.org/10.1016/S0023-6438(95)80008-5
  6. Jakobek, L., Boc, M., Barron, A.R. 2015. Optimization of Ultrasonic-Assisted Extraction of Phenolic Compounds from Apples. Food Anal. Methods 8:2612–2625, https://doi.org/10.1007/s12161-015-0161-3
  7. Kasnak, C., Palamutoğlu, R. 2015. Doğal Antioksidanların Sınıflandırılması ve İnsan Sağlığına Etkileri. Turkish J. Agric. - Food Sci. Technol. 3:226–234, https://doi.org/10.24925/turjaf.v3i5.226-234.171
  8. Kaur, C., Kapoor, H.C. 2002. Anti-oxidant activity and total phenolic content of some Asian vegetables. Int. J. Food Sci. Technol. 37:153–161, https://doi.org/10.1046/j.1365-2621.2002.00552.x
  9. Li, D., Zhu, F. 2019. Physicochemical, functional and nutritional properties of kiwifruit flour. Food Hydrocoll. 92:250–258, https://doi.org/10.1016/j.foodhyd.2019.01.047
  10. Majdi, H., Esfahani, J.A., Mohebbi, M. 2019. Optimization of convective drying by response surface methodology. Comput. Electron. Agric. 156:574–584, https://doi.org/10.1016/j.compag.2018.12.021
  11. Moharram, H.A., Youssef, M.M. 2014. Methods for Determining the Antioxidant Activity: A Review. Alexandria J. Food Sci. Technol. 11(1):31–42, https://doi.org/10.12816/0025348
  12. Naczk, M., Shahidi, F. 2004. Extraction