基于三维荧光光谱快速识别冷榨一级核桃油品牌和产地
Rapid identification of brand and origin of cold pressed first-grade walnut oil based on three-dimensional fluorescence spectroscopy
  
DOI:
中文关键词:  三维荧光光谱  识别模型  核桃油  品牌  产地
英文关键词:three-dimensional fluorescence spectra  recognition model  walnut oil  brand  origin
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Author NameAffiliation
HUANG Wei, XIA Alin, HOU Taidong, LEI Yuanxiong School of Food and Chemical Engineering, Shaoyang University, Shaoyang 422000, Hunan, China 
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中文摘要:
      为寻找一种能快速识别核桃油品牌和产地的方法,以来自4个品牌3个产地的冷榨一级核桃油为研究对象,分批次收集了300个样品,用荧光检测仪进行样品扫描,分两个时间段采集三维荧光光谱,间隔为1个月。对收集的共600组光谱数据运用主成分分析(PCA)进行特征提取,同品牌或同产地的样品分别选取主成分1组成新的数据集,达到数据降维,再结合偏最小二乘判别(PLS-DA)和人工神经网络判别(BP-ANN)化学模式识别方法,对应构建核桃油的品牌识别模型和产地识别模型。结果表明:PLS-DA和BP-ANN对核桃油的品牌和产地的识别率都能达到100%。因此,三维荧光光谱与PLS-DA和BP-ANN方法结合,可用于快速识别核桃油的品牌和产地。
英文摘要:
      In order to find a method to quickly identify brand and origin of walnut oil, cold pressed first-grade walnut oils of four brands from three origins were used as the research object, 300 samples were collected in batches, samples were scanned with a fluorometric detector and three-dimensional fluorescence spectra were collected in two time intervals of one month. A total of 600 sets of spectral data collected were extracted by PCA, and principal component 1 was selected from samples of the same brand or origin to form a new data set to achieve data dimension reduction. Then, combined with PLS-DA and BP-ANN chemical pattern recognition methods, brand recognition model and origin recognition model of walnut oil were constructed. The results showed that PLS-DA and BP-ANN could both accurately identify the corresponding brand and origin of walnut oil with the recognition rate of 100%. So the combination of three-dimensional fluorescence spectra with PLS-DA and BP-ANN can be used as a method for rapid identification of brand and origin of cold pressed first-grade walnut oil.
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