基于激光诱导击穿光谱的脐橙产地鉴别
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摘要
为了对脐橙产地进行快速鉴别,提出了激光诱导击穿光谱(LIBS)全光学诊断方法。选取江西赣州4区县及湖北、四川等6省市共10产地的纽荷尔脐橙,清洗表皮后直接采集等离子体羽时间演变形貌图及LIBS光谱,定性分析脐橙产地鉴别的可行性;采用15点平滑结合多元散射处理(15SM+MSC)预处理脐橙的LIBS光谱,分别运用主成分分析(PCA)、主成分分析结合多层感知器神经网络(PCA-MLP)鉴别脐橙产地。实验结果显示:采用一定的数据预处理方法结合PCA-MLP对全国7省市大地域范围脐橙产地鉴别的训练集总准确率为97.8%,预测集总准确率为95.3%;对赣州4区县小地域范围脐橙产地鉴别的训练集总准确率为100%,预测集总准确率为96.2%。这说明,采用合适的数据预处理及分类模型对脐橙产地进行快速鉴别具有一定的可行性。
Laser induced breakdown spectroscopy(LIBS)is proposed to discriminate origins of navel oranges.A series of 10 origins of navel oranges which from four counties of Ganzhou in Jiangxi and other six provinces are selected.After cleaning the skin of navel oranges,the images of plasma are collected by ICCD camera and LIBS spectra are obtained by spectrometers to qualitatively analyze the feasibility of origin identification of navel oranges.Furthermore,fifteen points smoothing and multiple scattering correction(15 SM+MSC)are utilized to preprocess the LIBS data.And principal component analysis(PCA)and PCA-MLP(multi-layer perceptron)are used to discriminate the origins of navel oranges.The investigation shows that the PCA-MLP model coupled with suitable data processing methods can not only identify origins of navel oranges which from seven provinces in a large area,but also identify origins of navel oranges which from four counties within a small area.The accuracy is 97.8%for origins of navel oranges which from seven provinces by evaluating LIBS spectra in training set,and 95.3%in test set.And the accuracy is 100%for origins of navel oranges which from four counties by evaluating LIBS spectra in training set,and 96.2% in test set.It is potential in differentiating origins of navel oranges by analyzing LIBS spectra.
Laser induced breakdown spectroscopy(LIBS)is proposed to discriminate origins of navel oranges.A series of 10 origins of navel oranges which from four counties of Ganzhou in Jiangxi and other six provinces are selected.After cleaning the skin of navel oranges,the images of plasma are collected by ICCD camera and LIBS spectra are obtained by spectrometers to qualitatively analyze the feasibility of origin identification of navel oranges.Furthermore,fifteen points smoothing and multiple scattering correction(15 SM+MSC)are utilized to preprocess the LIBS data.And principal component analysis(PCA)and PCA-MLP(multi-layer perceptron)are used to discriminate the origins of navel oranges.The investigation shows that the PCA-MLP model coupled with suitable data processing methods can not only identify origins of navel oranges which from seven provinces in a large area,but also identify origins of navel oranges which from four counties within a small area.The accuracy is 97.8%for origins of navel oranges which from seven provinces by evaluating LIBS spectra in training set,and 95.3%in test set.And the accuracy is 100%for origins of navel oranges which from four counties by evaluating LIBS spectra in training set,and 96.2% in test set.It is potential in differentiating origins of navel oranges by analyzing LIBS spectra.
引文
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[3]Lu Z J,Zhong B L,Guo H.Discussion on sustainable development of Gannan naval orange industry[J].Enterprise Economy,2015,34(4):149-152.卢占军,钟八莲,郭慧.赣南脐橙产业可持续发展的探讨[J].企业经济,2015,34(4):149-152.
[4]Deng S H,Huang X B.Research on export of Gannan naval orange based on free trade theory[J].Prices Monthly,2017(1):77-81.邓淑华,黄小兵.基于自由贸易理论的赣南脐橙出口研究[J].价格月刊,2017(1):77-81.
[5]Chen L D,Zhao Y R.Application of microwave digestion/AAS in detecting crankshaft bearing knock[J].Spectroscopy and Spectral Analysis,2014,34(6):1683-1687.陈立旦,赵艳茹.微波消解/AAS在发动机曲轴轴承异响检测中的应用[J].光谱学与光谱分析,2014,34(6):1683-1687.
[6]Fang W P,Meinhardt L W,Tan H W,et al.Identification of the varietal origin of processed looseleaf tea based on analysis of a single leaf by SNPnanofluidic array[J].The Crop Journal,2016,4(4):304-312.
[7]Paracchini V,Petrillo M,Lievens A,et al.Novel nuclear barcode regions for the identification of flatfish species[J].Food Control,2017,79:297-308.
[8]Liu F,Wang Y Z,Yang C Y,et al.Study on the genuineness and producing area of Panax notoginseng based on infrared spectroscopy combined with discriminant analysis[J].Spectroscopy and Spectral Analysis,2015,35(1):108-112.刘飞,王元忠,杨春艳,等.红外光谱结合判别分析对三七道地性及产地的鉴别研究[J].光谱学与光谱分析,2015,35(1):108-112.
[9]Borges D L,Guedes S T C D M,Nascimento A R,et al.Detecting and grading severity of bacterial spot caused by Xanthomonas spp.in tomato(Solanum lycopersicon)fields using visible spectrum images[J].Computers and Electronics in Agriculture,2016,125:149-159.
[10]Yang P,Zhu Y N,Yang X Y,et al.Evaluation of sample preparation methods for rice geographic origin classification using laser-induced breakdown spectroscopy[J].Journal of Cereal Science,2018,80:111-118.
[11]Qu Y T,Li Y,Guan R Y.Research progress of algae based on laser spectroscopy technology[J].Laser&Optoelectronics Progress,2017,54(6):060004.曲颖桐,李颖,关冉昀.激光光谱技术应用于藻类的研究进展[J].激光与光电子学进展,2017,54(6):060004.
[12]Chen N,Liu Y X,Du S Z,et al.Research progress in applications of nanosecond and femtosecond laserinduced breakdown spectroscopy[J].Laser&Optoelectronics Progress,2016,53(5):050003.陈娜,刘尧香,杜盛喆,等.纳秒、飞秒激光诱导击穿光谱技术的应用研究进展[J].激光与光电子学进展,2016,53(5):050003.
[13]Wang J M,Yan H Y,Zheng P C,et al.Quantitative detection of nutrient elements in soil based on laser induced breakdown spectroscopy[J].Chinese Journal of Lasers,2017,44(11):1111001.王金梅,颜海英,郑培超,等.基于激光诱导击穿光谱定量检测土壤中营养元素的研究[J].中国激光,2017,44(11):1111001.
[14]Guo L B,Hao Z Q,Shen M,et al.Accuracy improvement of quantitative analysis by spatial confinement in laser-induced breakdown spectroscopy[J].Optics Express,2013,21(15):18188-18195.
[15]Bilge G,Velioglu H M,Sezer B,et al.Identification of meat species by using laser-induced breakdown spectroscopy[J].Meat Science,2016,119:118-122.
[16]Tian Y,Yan C H,Zhang T L,et al.Classification of wines according to their production regions with the contained trace elements using laser-induced breakdown spectroscopy[J].Spectrochimica Acta Part B,2017,135:91-101.
[17]Malenfant D J,Gillies D J,Rehse S J.Bacterial suspensions deposited on microbiological filter material for rapid laser-induced breakdown spectroscopy identification[J].Applied Spectroscopy,2016,70(3):485-493.
[18]Huang L,Yao M Y,Lin J L,et al.Determination of cadmium in Gannan navel orange using laser-induced breakdown spectroscopy coupled with partial least squares calibration model[J].Journal of Applied Spectroscopy,2014,80(6):957-961.