Optimization of extraction of phenolic compounds from wheat using response surface methodology

LIYANAPATHIRANA, C; SHAHIDI, F

doi:10.1016/j.foodchem.2004.08.050

Cited by 809Phytochemicals and Antioxidant ActivitiesFood composition and propertiesAgricultural and Biological Research

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Optimization of extraction of phenolic compounds from wheat using response surface methodology

LIYANAPATHIRANA, C, SHAHIDI, F·2005·Food Chemistry

DOI 10.1016/j.foodchem.2004.08.050

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Abstract

The optimum conditions for the extraction of crude phenolics from whole grain and bran of soft and hard wheat were determined using response surface methodology (RSM). A face-centered cubic design (FCD) was used to investigate the effects of three independent variables, namely solvent composition (%), extraction temperature (degrees C) and time (min) on the response, total antioxidant activity (TAA). The independent variables were coded at three levels and their actual values selected on the basis of preliminary experimental results. The FCD consisted of 14 experimental points and three replications at the center point. Data were analyzed using design expert and statistical analysis system software. A second-order polynomial model was used for predicting the response. Regression analysis showed that more than 89% of the variation was explained by the models. Canonical analysis of surface responses revealed that the stationary surface was a saddle. The optimal conditions forthe TAA obtained using ridge analysis were 54%, 61 degrees C, 64 min and 49%, 64 degrees C, 60 min, for whole grain and bran of soft wheat, respectively. Under the optimum conditions the corresponding predicted response values for TAA were 56.5 and 63 TE. The crude phenolics were extracted under optimum conditions to check the validity of the model. The values were 54.7 +/- 3.2 and 61.3 +/- 1.9 TE, for whole grain and bran of soft wheat, respectively; A similar trend was observed for TAA of hard wheat. The…

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RSM can generate a robust mathematical model that accounts for interrelationships among variables and minimizes the number of experiments.
“the advantages of RSM are based on the ability to generate a robust mathematical model that takes into account the possible interrelationships of the variables to be evaluated and minimizes the number of experiments [4,5].”
From Optimized microwave-assisted azadirachtin extraction using response surface methodology (2024) · cites this paper as [4]

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Self-citation

Authors: LIYANAPATHIRANA, C., & SHAHIDI, F.
Affiliations: Memorial University of Newfoundland (CA)
Corresponding author: SHAHIDI, F
ORCID: SHAHIDI, F
Venue: Food Chemistry
Publisher: Elsevier BV
Published: 2005-11
Volume: 93
Issue: 1
Pages: 47-56
ISSN: 0308-8146 (ISSN-L)
DOI: 10.1016/j.foodchem.2004.08.050
OpenAlex: W2153391743
Cited by: 809
References: 25
Citations by year: 2026: 13 · 2025: 20 · 2024: 26 · 2023: 56 · 2022: 38 · 2021: 48 · 2020: 56 · 2019: 52 · 2018: 62 · 2017: 60 · 2016: 56 · 2015: 48 · 2014: 50 · 2013: 43 · 2012: 35
FWCI: 4.31
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Food Chemistry (publishedVersion)
Topics: Health Sciences › Medicine › Biochemistry (medical) › Phytochemicals and Antioxidant Activities
Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
Life Sciences › Agricultural and Biological Sciences › Food Science › Agricultural and Biological Research
Keywords: phenolic compounds, wheat, extraction optimization, total antioxidant capacity, wheat bran, whole grains, hard wheat, solvent composition, extraction temperature, extraction time, response surface methodology

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Optimization of extraction of phenolic compounds from wheat using response surface methodology

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