Zhong Yicheng, Zhang Zhenqian, Chen Jing, Niu Juan, Shi Yaliang, Wang Yue, Chen Tianxin, Sun Zhimin, Chen Jianhua, Luan Mingbao
Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Agricultural College, Hunan Agricultural University, Changsha 410205, PR China.
Food Chem X. 2021 Sep 21;12:100131. doi: 10.1016/j.fochx.2021.100131. eCollection 2021 Dec 30.
Physicochemical properties, oil content, and fatty acids (FAs) composition are key for determining the value of oil crops. The aim of this study was to illustrate the potential of exploiting as an edible oil crop, and establish a rapid measurement model for the seeds oil (ASO) content and composition. In 130 germplasms, the highest content of ASO was 51.27%, and unsaturated fatty acids (UFAs) mainly accounted for 74-78% of ASO. The partial least squares (PLS) model based on GC-MS and near-infrared spectroscopy was well-suited for the determination of ASO and UFA content; however, the PLS model for oleic acid (OA) and linoleic acid (LA) was not effective. The acid values and peroxide values for ASO also conformed to the Chinese food safety standards. Our findings will provide new insights and guidance for the use of as oil crops..
物理化学性质、含油量和脂肪酸（FAs）组成是决定油料作物价值的关键因素。本研究的目的是阐明将[作物名称未给出]开发为食用油料作物的潜力，并建立一种快速测量[作物名称未给出]种子油（ASO）含量和组成的模型。在130份[作物名称未给出]种质资源中，ASO的最高含量为51.27%，不饱和脂肪酸（UFAs）主要占ASO的74 - 78%。基于气相色谱 - 质谱联用（GC - MS）和近红外光谱的偏最小二乘法（PLS）模型非常适合测定ASO和UFA含量；然而，油酸（OA）和亚油酸（LA）的PLS模型效果不佳。ASO的酸值和过氧化值也符合中国食品安全标准。我们的研究结果将为将[作物名称未给出]用作油料作物提供新的见解和指导。
Zotero 插件
