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基于时域太赫兹光谱技术的橄榄油氧化程度检测研究
引用本文:刘伟,刘长虹,余俊杰,李扬.基于时域太赫兹光谱技术的橄榄油氧化程度检测研究[J].南方农机,2021(5):5-7,17.
作者姓名:刘伟  刘长虹  余俊杰  李扬
作者单位:合肥学院机器视觉与智能控制实验室;合肥工业大学食品科学与工程学院;阜阳师范大学生物与食品工程学院;安徽永成电子机械技术有限公司
基金项目:安徽省自然科学基金项目资助(2008085MC96);安徽省科技重大专项项目(202003a06020022)资助。
摘    要:文章通过设定特定储藏条件加速橄榄油氧化酸败,获得不同氧化程度的橄榄油样品,并对样品的脂肪酸变化进行分析.采用太赫兹系统对不同储藏期的橄榄油样品进行检测,选择0.3THz~2.0 THz范围内的THz吸收光谱作为建模数据,结合支持向量机(SVM)、反向传播神经网络(BPNN)、偏最小二乘(PLS)、随机森林(RF)建模方...

关 键 词:太赫兹光谱  橄榄油  氧化程度  化学计量学方法  快速检测

Detection of oxidation degree of olive oil based on time-domain terahertz spectroscopy*
Authors:Liu Wei  Liu Changhong  Yu Junjie  Li Yang
Institution:(Intelligent control and Compute vision lab,Hefei University,Anhui Hefei 230601;School of Food Science and Engineering,Hefei University of Technology,Anhui Hefei 230009;Biology and Food Engineering School,FuYang Normal University,Anhui Fuyang 236037;Anhui Yongcheng Electronic&Machinery Technology Co.,Ltd,Anhui Lu'an 237161)
Abstract:Article based on the oxidation characteristics of extra virgin olive oil(EVOO),the extraction of olive oil spectra with different degrees of oxidation was achieved.Different kinds of fat acid were analyzed during the oxidation process of the EVOO.The discriminant model was established by screening the characteristic spectra using the time-domain terahertz spectroscopy combined with support vector machines(SVM),back propagation neural network(BPNN),partial least squares(PLS),and random forest(RF).Compared with the accuracy of different models,the identification accuracy of calibration set and prediction set were 98.5%and 99%using SVM model,respectively.The results showed that terahertz spectroscopy could quickly detect the oxidation degree of olive oil and meet the real-time monitoring of the quality during processing and storage of olive oil.
Keywords:Terahertz spectroscopy  Olive oil  Oxidation degree  Chemometric methods  Rapid detection
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