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葵花籽油质量多样性及质量-傅里叶变换红外光谱特征关系研究

Investigation on the quality diversity and quality-FTIR characteristic relationship of sunflower seed oils.

作者信息

Yi Yang, Yao Juan, Xu Wei, Wang Li-Mei, Wang Hong-Xun

机构信息

College of Food Science & Engineering, Wuhan Polytechnic University Wuhan 430023 PR China

College of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University Wuhan 430023 PR China

出版信息

RSC Adv. 2019 Aug 30;9(47):27347-27360. doi: 10.1039/c9ra04848k. eCollection 2019 Aug 29.

Abstract

Forty-one sunflower seed oil (SSO) products were collected to investigate their quality parameters before and after high-temperature and short-time (HTST) cooking, including peroxide value (PV), acid value (AV) and fatty acid (FA) composition. Their Fourier-transform infrared (FTIR) spectra were then scanned to explore the parameter-FTIR characteristic relationship using chemometrics with multiple linear regression (MLR) analysis. The PV and AV of uncooked products were in the range of 1.49-6.29 mmol kg and 0.04-0.31 mg g, with the variation coefficient of 36.47% and 146.82%, respectively. They were mainly composed of palmitic acid (2.39-3.33%), stearic acid (1.76-2.54%), oleic acid (10.02-24.77%) and linoleic acid (66.42-83.62%). The parameter changes caused by HTST cooking were slight. SSO products from different countries might have significantly different FA composition, especially linoleic acid content ( < 0.05), and those with different shelf times might differ in PV ( < 0.05). In addition, the FTIR spectra of cooked and uncooked SSO showed the similarity degree values ranging from 0.67 to 0.97 and 0.72 to 0.97, respectively. All the spectra exhibited the characteristic bands of -C-H, -C[double bond, length as m-dash]O, -C-O- and [double bond, length as m-dash]CH, in which 11 common bands as independent variables were selected to establish various FTIR characteristic-quality relationship models. The models of palmitic acid, oleic acid and linoleic acid were acceptable for their content predictions. Moreover, the cooked oils and uncooked oils could be completely distinguished by orthogonal partial least squares discriminant analysis due to the cooking-caused changes in FTIR spectrum. Production place and shelf time were the important factors related to the quality diversity of SSO, and FTIR spectroscopy combined with chemometrics was feasible for the simultaneous determination of various quality parameters.

摘要

收集了41种葵花籽油(SSO)产品,以研究其在高温短时(HTST)烹饪前后的质量参数,包括过氧化值(PV)、酸值(AV)和脂肪酸(FA)组成。然后扫描其傅里叶变换红外(FTIR)光谱,使用化学计量学和多元线性回归(MLR)分析来探索参数与FTIR特征之间的关系。未烹饪产品的PV和AV分别在1.49 - 6.29 mmol/kg和0.04 - 0.31 mg/g范围内,变异系数分别为36.47%和146.82%。它们主要由棕榈酸(2.39 - 3.33%)、硬脂酸(1.76 - 2.54%)、油酸(10.02 - 24.77%)和亚油酸(66.42 - 83.62%)组成。HTST烹饪引起的参数变化较小。来自不同国家的SSO产品可能具有显著不同的FA组成,尤其是亚油酸含量(P < 0.05),而不同保质期的产品在PV方面可能存在差异(P < 0.05)。此外,表示熟SSO和未熟SSO的FTIR光谱的相似度值分别为0.67至0.97和0.72至0.97。所有光谱均显示出-C-H、-C=O、-C-O-和=C-H的特征峰,从中选择11个公共峰作为自变量来建立各种FTIR特征-质量关系模型。棕榈酸、油酸和亚油酸的模型对其含量预测是可接受的。此外,由于烹饪导致FTIR光谱发生变化,通过正交偏最小二乘判别分析可以完全区分熟油和未熟油。产地和保质期是与SSO质量多样性相关的重要因素,FTIR光谱结合化学计量学可用于同时测定各种质量参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af1/9070652/f2ff32fea5f5/c9ra04848k-f1.jpg

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