摘要
荞麦营养丰富且具有保健功能,市场上荞麦粉价格较高,目前存在荞麦粉掺假现象。近红外光谱被广泛用于食品营养素含量检测,近年也逐渐开始用于真实性鉴别。试验采用近红外光谱仪对20种荞麦粉、5种小麦粉和5种燕麦粉样品在800～2 701 nm波长范围内进行扫描,采集其近红外漫反射光谱图,结合化学计量学软件对光谱进行主成分(PCA)分析,可明显区分甜荞粉、苦荞粉、小麦粉和燕麦粉;利用偏最小二乘(PLS)模型可以半定量判别荞麦粉掺假。近红外光谱分析可以作为荞麦真实性判别的快速检测方法。
Buckwheat is rich in nutrients and has health care function. The market price of buckwheat flour is higher than wheat flour, and the phenomenon of buckwheat adulteration may exist. Near infrared spectroscopy is widely used in the detection of food nutrient＇s content. In recent years, near infrared spectroscopy has gradually used for authenticity identification. About 20 kinds of buckwheat flour, 5 kinds of wheat flour and 5 kinds of oat flour samples were scanned in the wavelength range of 800-2 701 nm by near infiared spectroscopy. The near infrared spectroscopy was collected and was analyzed by chemometrics software. The result showed that principle component analysis could distinguish the different cereals. The partial least squares model could be used to discriminate the buckwheat flour adulteration. Near infrared spectroscopy could be used as a rapid detection method for the authenticity of buckwheat.
作者
张晶
郭军
张美莉
ZHANG Jing, GUO Jun, ZHANG Meili(College of Food Science and Engineering, Inner Mongolia Agricultural University,Huhhot 01001)
出处
《食品工业》
CAS
北大核心
2018年第10期195-199,共5页
The Food Industry
基金
2017内蒙古自治区科技创新引导奖励资金项目
内蒙古草原英才工程高层次人才培养项目(项目编号CYYC6025)
国家自然科学基金
<基于化学计量学的特种家畜乳及乳制品真实性鉴别模型建立与优化>(项目编号31760489)
关键词
荞麦
掺假
近红外光谱
偏最小二乘模型
buckwheat
adulteration
near-infrared spectroscopy
partial least squares model
