基于太赫兹衰减全反射技术的花生品种快速鉴别
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摘要
利用太赫兹衰减全反射技术,结合距离匹配算法,对不同品种花生进行快速分类鉴别。实验随机采集花育36号、鲁花1号和鲁花9号共3个花生品种、总计60个花生样本在0.3~3.6 THz的太赫兹衰减全反射光谱,随后对其吸收系数进行一阶导数及归一化预处理,并建立花生品种的距离匹配快速鉴别模型。距离匹配模型结果显示:3个类别的总体识别准确率可达93.3%,仅有1个样本预测错误。研究结果表明,利用太赫兹衰减全反射技术实现花生品种快速鉴别具有一定的可行性,具有操作简单且快速高效等特点。
Peanuts are rich in protein and lipids,which are widely cultivated in the north and south regions of China. As one of the main oil crops in China,the identification of peanut varieties is very important for breeding new varieties,improving oil production and processing quality. The commonly used detection methods such as experience identification,physical and chemical detection are all timeconsuming and difficult to operate,could not meet the current rapid detection requirements well. So it is necessary to explore a rapid and efficient testing method for peanut varieties' identification. Terahertz attenuated total reflection( THz-ATR) spectroscopy combined with distance matching algorithm( DM)were used to achieve the rapid identification of different varieties of peanut. A total of 60 peanut samples' ATR spectrum in 0. 3 ~ 3. 6 THz which included three varieties of peanuts: Huayu 36,Luhua 1 and Luhua 9 were collected randomly. Then the first derivative of ATR absorption coefficients were normalized to establish DM model and identify different peanut varieties rapidly. The final DM model result showed that the overall recognition accuracy of the three categories can reach 93. 3%,with only one sample was misclassified. The research results showed that using THz-ATR to rapid detection and identification of peanut varieties had certain feasibility,and the method can be applied to other crop variety rapid identification and quality analysis because of its simpleoperation and efficient characteristics.
Peanuts are rich in protein and lipids,which are widely cultivated in the north and south regions of China. As one of the main oil crops in China,the identification of peanut varieties is very important for breeding new varieties,improving oil production and processing quality. The commonly used detection methods such as experience identification,physical and chemical detection are all timeconsuming and difficult to operate,could not meet the current rapid detection requirements well. So it is necessary to explore a rapid and efficient testing method for peanut varieties' identification. Terahertz attenuated total reflection( THz-ATR) spectroscopy combined with distance matching algorithm( DM)were used to achieve the rapid identification of different varieties of peanut. A total of 60 peanut samples' ATR spectrum in 0. 3 ~ 3. 6 THz which included three varieties of peanuts: Huayu 36,Luhua 1 and Luhua 9 were collected randomly. Then the first derivative of ATR absorption coefficients were normalized to establish DM model and identify different peanut varieties rapidly. The final DM model result showed that the overall recognition accuracy of the three categories can reach 93. 3%,with only one sample was misclassified. The research results showed that using THz-ATR to rapid detection and identification of peanut varieties had certain feasibility,and the method can be applied to other crop variety rapid identification and quality analysis because of its simpleoperation and efficient characteristics.
引文
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12 GOWEN A A,O'SULLIVAN C,O'DONNELL C P.Terahertz time domain spectroscopy and imaging:emerging techniques for food process monitoring and quality control[J].Trends in Food Science&Technology,2012,25(1):40-46.
13 赵国忠.太赫兹科学技术研究的新进展[J].国外电子测量技术,2014,33(2):1-6.ZHAO Guozhong.Progress on terahertz science and technology[J].Foreign Electronic Measurement Technology,2014,33(2):1 -6.(in Chinese)
14 谢丽娟,徐文道,应义斌,等.太赫兹波谱无损检测技术研究进展[J/OL].农业机械学报,2013,44(7):246-255.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20130743&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2013.07.043.XIE Lijuan,XU Wendao,YING Yibin,et al.Advancement and trend of terahertz spectroscopy technique for non-destructive detection[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2013,44(7):246-255.(in Chinese)
15 戚淑叶,张振伟,赵昆,等.太赫兹时域光谱无损检测核桃品质的研究[J].光谱学与光谱分析,2012,32(12):3390-3393.QI Shuye,ZHANG Zhenwei,ZHAO Kun,et al.Evaluation of walnut by terahertz nondestructive technology[J].Spectroscopy and Spectral Analysis,2012,32(12):3390-3393.(in Chinese)
16 李斌,WANG Ning,张伟立,等.基于太赫兹光谱技术的山核桃内部虫害检测初步研究[J].光谱学与光谱分析,2014,34(5):1196-1200.LI Bin,WANG Ning,ZHANG Weili,et al.Preliminary research on insect damage detection in pecans using terahertz spectroscopy[J].Spectroscopy and Spectral Analysis,2014,34(5):1196-1200.(in Chinese)
17 NEWNHAM D A,TADAY P F.Pulsed terahertz attenuated total reflection spectroscopy[J].Applied Spectroscopy,2008,62(4):394.
18 戚淑叶,韩东海.太赫兹时域光谱技术无损检测高油玉米研究[C]∥中国食品科学技术学会第九届年会,2012.QI Shuye,HAN Donghai.An overview of analytical approaches for determining the geographical origin of plant-derived foods[C]∥The9 th Annual Meeting of CIFST,2012.(in Chinese)
19 韩晓惠,张瑾,杨晔,等.基于太赫兹时域光谱技术的光学参数提取方法的研究进展[J].光谱学与光谱分析,2016,36(11):3449-3454.HAN Xiaohui,ZHANG Jin,YANG Ye,et al.Review on the methodology for optical parameter extraction with terahertz timedomain spectroscopy[J].Spectroscopy and Spectral Analysis,2016,36(11):3449-3454.(in Chinese)
20 张娣.基于太赫兹时域光谱的生物小分子检测与分析[D].成都:电子科技大学,2015.ZHANG Di.Detection and analysis of small bio-molecules on terahertz time domain spectroscopy[D].Chengdu:School of Physics and Electronics,2015.(in Chinese)
21 吴静珠,张宇靖,石瑞杰,等.拉曼光谱结合距离匹配法快速鉴别掺伪食用油[J].中国粮油学报,2015,30(9):119-122.WU Jingzhu,ZHANG Yujing,SHI Ruijie,et al.Rapid detection of adulterated edible oil using raman spectroscopy and distance match method[J].Journal of the Chinese Cereals and Oils Association,2015,30(9):119-122.(in Chinese)
2 马寅斐,何东平,王文亮,等.我国花生品种加工特性与品质评价技术研究进展[J].中国食物与营养,2011,17(6):29-31.MA Yinfei,HE Dongping,WANG Wenliang,et al.Research advancement of processing character and quality assessment technology of Chinese peanut cultivars[J].Food and Nutrition in China,2011,17(6):29-31.(in Chinese)
3 王丽,王强,刘红芝,等.花生加工特性与品质评价研究进展[J].中国粮油学报,2011,26(10):122-128.WANG Li,WANG Qiang,LIU Hongzhi,et al.Research process on peanut processing characteristics and quality evaluation[J].Journal of the Chinese Cereals and Oils Association,2011,26(10):122-128.(in Chinese)
4 沈一,鄂志国,刘永惠,等.中国花生品种及其系谱数据库的构建[J].中国油料作物学报,2015,37(4):571-575.SHEN Yi,E Zhiguo,LIU Yonghui,et al.Database construction of Chinese peanut varieties and their genealogy[J].Chinese Journal of Oil Crop Sciences,2015,37(4):571-575.(in Chinese)
5 刘玉兰,刘瑞花,钟雪玲,等.不同制油工艺所得花生油品质指标差异的研究[J].中国油脂,2012,37(9):6-10.LIU Yulan,LIU Ruihua,ZHONG Xueling,et al.Differences of quality indexes of peanut oil obtained with different processes[J].China Oils and Fats,2012,37(9):6-10.(in Chinese)
6 魏振承,唐小俊,张名位,等.花生油加工和相关技术研究进展及展望[J].中国粮油学报,2011,26(6):118-122.WEI Zhencheng,TANG Xiaojun,ZHANG Mingwei,et al.Advances in peanut oil processing and related technology research[J].Journal of the Chinese Cereals and Oils Association,2011,26(6):118-122.(in Chinese)
7 周瑞宝.中国花生生产、加工产业现状及发展建议[J].中国油脂,2005,30(2):5-9.ZHOU Ruibao.Present situation and development suggestion on China peanut processing industry[J].China Oils and Fats,2005,30 (2):5-9.(in Chinese)
8 杨伟强,王秀贞,张建成,等.我国花生加工产业的现状、问题与对策[J].山东农业科学,2006(3):105-107.YANG Weiqiang,WANG Xiuzhen,ZHANG Jiancheng,et al.Present situation,problems and countermeasures of peanut processing industry in China[J].Shandong Agricultural Sciences,2006(3):105-107.(in Chinese)
9 张建成,江玉萍,王传堂,等.花生品种鉴定技术研究进展[J].花生学报,2006,35(2):24-28.ZHANG Jiancheng,JIANG Yuping,WANG Chuantang,et al.Review of variety identification in peanut(Arachis hypogeae L.)[J].Journal of Peanut Science,2006,35(2):24-28.(in Chinese)
10 韩仲志,邓立苗,于仁师.基于图像处理的花生荚果品种识别方法研究[J].中国粮油学报,2012,27(2):100-104.HAN Zhongzhi,DENG Limiao,YU Renshi.Study on variety identification of peanut pods based on image processing[J].Journal of the Chinese Cereals and Oils Association,2012,27(2):100-104.(in Chinese)
11 QIN Jianyuan,YING Yibin,XIE Lijuan.The detection of agricultural products and food using terahertz spectroscopy:a review[J].Applied Spectroscopy Reviews,2013,48(6):439-457.
12 GOWEN A A,O'SULLIVAN C,O'DONNELL C P.Terahertz time domain spectroscopy and imaging:emerging techniques for food process monitoring and quality control[J].Trends in Food Science&Technology,2012,25(1):40-46.
13 赵国忠.太赫兹科学技术研究的新进展[J].国外电子测量技术,2014,33(2):1-6.ZHAO Guozhong.Progress on terahertz science and technology[J].Foreign Electronic Measurement Technology,2014,33(2):1 -6.(in Chinese)
14 谢丽娟,徐文道,应义斌,等.太赫兹波谱无损检测技术研究进展[J/OL].农业机械学报,2013,44(7):246-255.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20130743&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2013.07.043.XIE Lijuan,XU Wendao,YING Yibin,et al.Advancement and trend of terahertz spectroscopy technique for non-destructive detection[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2013,44(7):246-255.(in Chinese)
15 戚淑叶,张振伟,赵昆,等.太赫兹时域光谱无损检测核桃品质的研究[J].光谱学与光谱分析,2012,32(12):3390-3393.QI Shuye,ZHANG Zhenwei,ZHAO Kun,et al.Evaluation of walnut by terahertz nondestructive technology[J].Spectroscopy and Spectral Analysis,2012,32(12):3390-3393.(in Chinese)
16 李斌,WANG Ning,张伟立,等.基于太赫兹光谱技术的山核桃内部虫害检测初步研究[J].光谱学与光谱分析,2014,34(5):1196-1200.LI Bin,WANG Ning,ZHANG Weili,et al.Preliminary research on insect damage detection in pecans using terahertz spectroscopy[J].Spectroscopy and Spectral Analysis,2014,34(5):1196-1200.(in Chinese)
17 NEWNHAM D A,TADAY P F.Pulsed terahertz attenuated total reflection spectroscopy[J].Applied Spectroscopy,2008,62(4):394.
18 戚淑叶,韩东海.太赫兹时域光谱技术无损检测高油玉米研究[C]∥中国食品科学技术学会第九届年会,2012.QI Shuye,HAN Donghai.An overview of analytical approaches for determining the geographical origin of plant-derived foods[C]∥The9 th Annual Meeting of CIFST,2012.(in Chinese)
19 韩晓惠,张瑾,杨晔,等.基于太赫兹时域光谱技术的光学参数提取方法的研究进展[J].光谱学与光谱分析,2016,36(11):3449-3454.HAN Xiaohui,ZHANG Jin,YANG Ye,et al.Review on the methodology for optical parameter extraction with terahertz timedomain spectroscopy[J].Spectroscopy and Spectral Analysis,2016,36(11):3449-3454.(in Chinese)
20 张娣.基于太赫兹时域光谱的生物小分子检测与分析[D].成都:电子科技大学,2015.ZHANG Di.Detection and analysis of small bio-molecules on terahertz time domain spectroscopy[D].Chengdu:School of Physics and Electronics,2015.(in Chinese)
21 吴静珠,张宇靖,石瑞杰,等.拉曼光谱结合距离匹配法快速鉴别掺伪食用油[J].中国粮油学报,2015,30(9):119-122.WU Jingzhu,ZHANG Yujing,SHI Ruijie,et al.Rapid detection of adulterated edible oil using raman spectroscopy and distance match method[J].Journal of the Chinese Cereals and Oils Association,2015,30(9):119-122.(in Chinese)