近红外光谱技术鉴别花椒产地

采集四川、重庆、云南、贵州、陕西五省市8个不同产地205个花椒样品的近红外光谱, 使用主成分分析(principal component analysis, PCA)、判别偏最小二乘法(discriminant partial least squares, DPLS)分析了花椒产地的分类鉴别。结果表明: 在12 500～3 800 cm-1波数范围内, 采用不同的光谱预处理方法可以建立较为稳健的DPLS模式识别模型, 对不同产地的花椒有较好的分类鉴别。其校正集交叉验证除了经一阶微分预处理的模型识别率为99.39%外, 其他预处理方法识别率均为100%, 独立验证集总体识别正确率在85.37%~97.56%之间, 其中经标准正态变量变换(standard normal variate, SNV)、多元散射校正(multiplicative scatter correction, MSC)预处理后的DPLS判别模型效果最好, 误判数仅分别为1个, 表示该方法在花椒产地识别中具有可行性。

Abstract

Identification method of 205 Huajiao samples from 8 different geographical origins by near infrared spectroscopy coupled with principal component analysis (PCA) and pattern recognition based on discriminant partial least squares (DPLS) was proposed in this paper. In the spectra region between 12 500～3 800 cm-1, predictive models with different pretreatments of calibration set were built separately, and robust models indicating these geographic origins of Huajiao samples could be achieved using DPLS pattern recognition method. The correct identification rates of the independent validation set were between 85.37%~97.56%, in which DPLS discriminant model with standard normal variate (SNV) or multiplicative scatter correction (MSC) preprocessing was best. The method was effective in Huajiao origin recognition.

参考文献

[1] HUANG Cheng-jiu(黄成就). Rutaceae, Dicotyledoneae, Angiospermae. Flora Reipublicae Popularis Sinicae. Vol. 43(中国植物志, 第43卷). Beijing: Science Press(北京: 科学出版社), 1997. 13.

[2] ZHENG Dian-sheng, LIU Xu, LI Yu(郑殿升, 刘旭, 黎裕). Journal of Plant Genetic Resources(植物遗传资源学报), 2012, 13(1): 1.

[3] LI Li-xin, YANG Tu-xi, WEI An-zhi, et al(李立新, 杨途熙, 魏安智, 等). Acta Agriculturae Boreali-Sinica(华北农学报), 2016, 31(5): 122.

[4] Negi J S, Bisht V K, Bhandari A K, et al. African Journal of Pure and Applied Chemistry, 2011, 5(12): 412.

[5] YU Xiao-qin, ZHENG Xian-yi, KAN Jian-quan, et al(余晓琴, 郑显义, 阚健全, 等). Food Science(食品科学), 2009, 30(15): 45.

[6] ZHANG Jing-wen, ZHAO Lei, SHI Bo-lin, et al(张敬文, 赵镭, 史波林, 等). West China Journal of Pharmaceutical Sciences(华西药学杂志), 2016, 31(2): 109.

[7] Huang S, Zhao L, Zhou X L, et al. Chinese Chemical Letters, 2012, 23(11): 1247.

[8] Ito C, Katagiri H, Sato A, et al. Natural Medicines, 1997, 51(3): 249.

[9] YANG Zheng, GONG Jing-xin, ZHANG Ling, et al(杨峥, 公敬欣, 张玲, 等). Journal of Chinese Institute of Food Science and Technology(中国食品学报), 2014, 14(5): 226.

[10] DENG Zhen-yi, SUN Bing-yin, KANG Ke-gong, et al(邓振义, 孙丙寅, 康克功, 等). Acta Agriculturae Boreali-Occidentalis Sinica(西北农业学报), 2005, 14(3): 107.

[11] Alander J T, Bochko V, Martinkauppi B, et al. International Journal of Spectroscopy, 2013. 1.

[12] WANG Yuan-zhong, ZHAO Yan-li, ZHANG Ji, et al(王元忠, 赵艳丽, 张霁, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(2): 394.

[13] WEN Tao, ZHENG Li-zhang, GONG Zhong-liang, et al(文韬, 郑立章, 龚中良, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2016, 32(16): 293.

[14] Marquettia I, Link J V, Lemes A L G, et al. Computers and Electronics in Agriculture, 2016, 121: 313.

[15] Luna A S, Da Silva A P, Pinho J S A, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2013, 100(12): 115.

[16] Teye E, Huang X Y, Lei W, et al. Food Research International, 2014, 55(12): 288.

[17] ZHU Shi-ping, LIANG Jing, TU Da-wei, et al(祝诗平, 梁晶, 屠大伟, 等). Journal of Southwest University·Natural Science Edition(西南大学学报·自然科学版), 2012, 34(5): 1.

吴习宇, 祝诗平, 黄华, 徐丹, 郭启高. 近红外光谱技术鉴别花椒产地[J]. 光谱学与光谱分析, 2018, 38(1): 68. WU Xi-yu, ZHU Shi-ping, HUANG Hua, XU Dan, GUO Qi-gao. Near Infrared Spectroscopy for Determination of the Geographical Origin of Huajiao[J]. Spectroscopy and Spectral Analysis, 2018, 38(1): 68.

近红外光谱技术鉴别花椒产地

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