Walnut is a widely consumed, nutritive and healthy
crop in the world. China, the US, and Iran are the leading countries of walnut production,
and Turkey is among the main producers ranking fourth with 180.000 tons of
production rate. Walnut green husk is a valuable agricultural by-product that
is commonly used in traditional medicine for alleviating pain and treating skin
diseases related to its antioxidant properties and health benefits. This study
aimed to find the effect of solvent type on extraction of bioactive compounds and
to predict the extraction effects in rapid and reliable method such as Fourier
transform infrared (FT-IR) spectroscopy. Solvent efficiency was evaluated using
different polarity solvents such as water, methanol, ethanol, acetone and
aqueous solutions of methanol, ethanol and acetone for the extraction of walnut
green husks. Analysis of variance results revealed that there was a significant
difference among the total phenolic contents and antioxidant activities of
different extracts. Antimicrobial activity analysis demonstrated that water
extracts showed higher activity against Staphylococcus
aureus. According to the results of partial least squares (PLS) regression
analysis to predict the total phenol content and antioxidant capacity of
extracts, R2 values of calibration and cross validation models were
higher than 97% with root mean square error of calibration (RMSEC) and root
mean square error of cross validation (RMSECV) values ranging from 3.03 to
5.35. It can be concluded that PLS models had high predictive capability.
Green walnut husks Extraction Infrared spectroscopy Chemometrics
Yeşil ceviz kabuğu Ekstraksiyon İnfrared spektroskopi Kemometri
Birincil Dil | Türkçe |
---|---|
Bölüm | Araştırma Makaleleri |
Yazarlar | |
Yayımlanma Tarihi | 23 Nisan 2018 |
Gönderilme Tarihi | 17 Temmuz 2017 |
Yayımlandığı Sayı | Yıl 2018 |
Bu eser Creative Commons Atıf-GayriTicari 4.0 (CC BY-NC 4.0) Uluslararası Lisansı ile lisanslanmıştır.
Akademik Gıda (Academic Food Journal) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).