烤烟烟碱近红外定量模型的适用性
|
摘要
为考察烤烟烟碱近红外光谱定量模型在不同省份烤烟归属判别中的适用性,以贵州烤烟样品建立了烟碱的近红外定量模型,并通过对不同产区烤烟样品进行的主成分分析、马氏距离判断及模型预测结果相对误差分析确定了贵州模型的适用性。结果表明:(1)云南昭通、云南楚雄、云南保山、四川德昌的全部烤烟样品及湖南郴州的部分烤烟样品可适用于贵州模型,相对误差较小,主要在-5%～5%之间;福建三明、河南宝丰以及广东梅州的烤烟样品不适用于贵州模型,相对误差较大,大部分样品超出-5%～5%的范围。(2)将西南云贵川地区烤烟样品合并建模并与贵州模型进行比较,发现合并模型优于贵州模型,两种模型的校正均方根误差(RMSEC)分别为0.072 6和0.079 9;合并模型对云南四川样品和贵州样品的预测能力优于贵州模型,两种模型对烤烟样品的预测均方根误差(RMSEP)分别为0.076 0、0.079 9和0.109 0、0.084 6。合并模型增强了对云南、四川、贵州烤烟样品的预测能力,该研究结果为提高烤烟烟碱近红外光谱定量模型的适用性提供了参考。
In order to investigate the adaptability of NIR spectroscopy-based quantitative nicotine model to distinguish flue-cured tobacco leaves from different growing areas, an NIR quantitative nicotine model in flue-cured tobacco was established by taking Guizhou tobacco leaves as input samples. The adaptability of the established Guizhou model was determined via principal component analysis(PCA), Mahalanobis distance analysis and predicted data relative error analysis using tobacco samples from different areas. The results indicated that: 1) The Guizhou model could be adapted to all leaf samples from Zhaotong, Chuxiong, Baoshan in Yunnan and Dechang in Sichuan and some leaf samples from Chenzhou in Hunan with relative error from-5% to 5%, while it did not adapt well to the samples from Sanming in Fujian, Baofeng in Henan and Meizhou in Guangdong with large relative error(higher than 5% or lower than-5%). 2) A merged model was established by using the samples from Yunnan, Sichuan and Guizhou and was compared with the Guizhou model. The results indicated that the merged model was superior to the Guizhou model. The RMSECs of the merged and Guizhou models were 0.072 6 and 0.079 9, respectively. The predictive ability of the merged model to Yunnan, Sichuan and Guizhou samples was better than that of the Guizhou model, the RMSEP of the merged model was 0.076 0 and 0.079 9 for Yunnan and Sichuan samples and Guizhou samples respectively, and that of the Guizhou model was 0.109 0 and 0.084 6,respectively. The merged model improved the predictive ability to the samples from Yunnan, Sichuan and Guizhou. The results of this study provide references for improving the adaptability of NIR quantitative model for the nicotine in flue-cured tobacco.
In order to investigate the adaptability of NIR spectroscopy-based quantitative nicotine model to distinguish flue-cured tobacco leaves from different growing areas, an NIR quantitative nicotine model in flue-cured tobacco was established by taking Guizhou tobacco leaves as input samples. The adaptability of the established Guizhou model was determined via principal component analysis(PCA), Mahalanobis distance analysis and predicted data relative error analysis using tobacco samples from different areas. The results indicated that: 1) The Guizhou model could be adapted to all leaf samples from Zhaotong, Chuxiong, Baoshan in Yunnan and Dechang in Sichuan and some leaf samples from Chenzhou in Hunan with relative error from-5% to 5%, while it did not adapt well to the samples from Sanming in Fujian, Baofeng in Henan and Meizhou in Guangdong with large relative error(higher than 5% or lower than-5%). 2) A merged model was established by using the samples from Yunnan, Sichuan and Guizhou and was compared with the Guizhou model. The results indicated that the merged model was superior to the Guizhou model. The RMSECs of the merged and Guizhou models were 0.072 6 and 0.079 9, respectively. The predictive ability of the merged model to Yunnan, Sichuan and Guizhou samples was better than that of the Guizhou model, the RMSEP of the merged model was 0.076 0 and 0.079 9 for Yunnan and Sichuan samples and Guizhou samples respectively, and that of the Guizhou model was 0.109 0 and 0.084 6,respectively. The merged model improved the predictive ability to the samples from Yunnan, Sichuan and Guizhou. The results of this study provide references for improving the adaptability of NIR quantitative model for the nicotine in flue-cured tobacco.
引文
[1]唐玉莲,梁逸曾,范伟,等.应用近红外光谱快速鉴别不同年龄段人食用的奶粉品种[J].红外,2010,31(1):30-35.TANG Yulian,LIANG Yizeng,FAN Wei,et al.Fast discrimination of varieties of different age rank milk powder using near infrared spectroscopy[J].Infrared,2010,31(1):30-35.
[2]王胜鹏,龚自明,高士伟,等.近红外光谱结合神经网络判别茶鲜叶产地[J].中国计量学院学报,2014,25(4):419-423.WANG Shengpeng,GONG Ziming,GAO Shiwei,et al.Discrimination of the geographical origin of fresh tea leaves based on near infrared spectra and artificial neural network models[J].Journal of China University of Metrology,2014,25(4):419-423.
[3]郭婷婷,徐丽,刘金,等.玉米亚正常籽粒生活力近红外光谱判别方法研究[J].光谱学与光谱分析,2013,33(6):1501-1505.GUO Tingting,XU Li,LIU Jin,et al.Study on discrimination method of maize seed viability based on near-infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2013,33(6):1501-1505.
[4]王承伟,宾俊,范伟,等.基于近红外光谱技术结合随机森林的烟叶成熟度快速判别[J].西南农业学报,2017,30(4):931-936.WANG Chengwei,BIN Jun,FAN Wei,et al.Rapid discrimination of maturity of tobacco leaf based on near-infrared spectroscopy and random forest[J].Southwest China Journal of Agricultural Sciences,2017,30(4):931-936.
[5]潘威,马文广,郑昀晔,等.用近红外光谱无损测定烟草种子淀粉含量[J].烟草科技,2017,50(2):15-21.PAN Wei,MA Wenguang,ZHENG Yunye,et al.Nondestructive determination of starch content in tobacco seeds by near infrared spectroscopy[J].Tobacco Science&Technology,2017,50(2):15-21.
[6]吴进芝,李军,杜文,等.制丝线烟丝质量在线监测近红外模型的建立与应用[J].烟草科技,2017,50(10):69-73.WU Jinzhi,LI Jun,DU Wen,et al.Establishment and application of NIR models for online cut tobacco quality monitoring in primary processing[J].Tobacco Science&Technology,2017,50(10):69-73.
[7]袁洪福,陆婉珍.现代光谱分析中常用的化学计量学方法[J].现代科学仪器,1998(5):6-9.YUAN Hongfu,LU Wanzhen.Popular chemometrics used in spectrometric analysis[J].Modern Scientific Instruments,1998(5):6-9.
[8]严衍禄,赵龙莲,李军会,等.现代近红外光谱分析的信息处理技术[J].光谱学与光谱分析,2000,20(6):777-780.YAN Yanlu,ZHAO Longlian,LI Junhui,et al.Information technology of modern NIR spectral analysis[J].Spectroscopy and Spectral Analysis,2000,20(6):777-780.
[9]段凯,姬厚伟,刘剑,等.贵州复烤片烟中水溶性糖和烟碱近红外速测定量模型的建立[J].安徽农业科学,2017,45(15):79-82,87.DUAN Kai,JI Houwei,LIU Jian,et al.Establishment of near-infrared quantitative model for quick test of water-soluble sugar and nicotine in flue-cured tobacco in Guizhou[J].Journal of Anhui Agricultural Sciences,2017,45(15):79-82,87.
[10]陈萍,逄涛,吴玉萍,等.近红外光谱法预测云南香料烟中总糖、还原糖和总氮[J].光谱实验室,2012,29(1):103-106.CHEN Ping,PANG Tao,WU Yuping,et al.Prediction of total sugar,reducing sugar and total nitrogen in aromatic tobacco of Yunnan by near infrared spectrometry[J].Chinese Journal of Spectroscopy Laboratory,2012,29(1):103-106.
[11]张璐,唐兴宏,马翔,等.应用近红外光谱分析不同生态环境的烟叶特性[J].光谱学与光谱分析,2012,32(3):664-668.ZHANG Lu,TANG Xinghong,MA Xiang,et al.Research on characteristic of tobaccos from different ecological environments base on near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2012,32(3):664-668.
[12]张云贵,刘青丽,王建伟,等.基于气象因子的烤烟香型分区模型构建及应用[J].烟草科技,2015,48(10):19-25.ZHANG Yungui,LIU Qingli,WANG Jianwei,et al.Establishment and application of regional division model for flue-cured tobacco flavor types based on meteorological factors[J].Tobacco Science&Technology,2015,48(10):19-25.
[13]周金仙.不同生态条件下烟草品种产量与品质的变化[J].烟草科技,2005(9):32-35.ZHOU Jinxian.Yield and quality changes of tobacco varieties in different ecological zones[J].Tobacco Science&Technology,2005(9):32-35.
[14]邵丽,晋艳,杨宇虹,等.生态条件对不同烤烟品种烟叶产质量的影响[J].烟草科技,2002(10):40-45.SHAO Li,JIN Yan,YANG Yuhong,et al.Influences of ecological conditions on the yield and quality of different flue-cured cultivars[J].Tobacco Science&Technology,2002(10):40-45.
[15]徐广通,袁洪福,陆婉珍.近红外光谱定量校正模型适用性研究[J].光谱学与光谱分析,2001,21(4):459-463.XU Guangtong,YUAN Hongfu,LU Wanzhen.Study of quantitative calibration model suitability in near-infrared spectroscopy analysis[J].Spectroscopy and Spectral Analysis,2001,21(4):459-463.
[2]王胜鹏,龚自明,高士伟,等.近红外光谱结合神经网络判别茶鲜叶产地[J].中国计量学院学报,2014,25(4):419-423.WANG Shengpeng,GONG Ziming,GAO Shiwei,et al.Discrimination of the geographical origin of fresh tea leaves based on near infrared spectra and artificial neural network models[J].Journal of China University of Metrology,2014,25(4):419-423.
[3]郭婷婷,徐丽,刘金,等.玉米亚正常籽粒生活力近红外光谱判别方法研究[J].光谱学与光谱分析,2013,33(6):1501-1505.GUO Tingting,XU Li,LIU Jin,et al.Study on discrimination method of maize seed viability based on near-infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2013,33(6):1501-1505.
[4]王承伟,宾俊,范伟,等.基于近红外光谱技术结合随机森林的烟叶成熟度快速判别[J].西南农业学报,2017,30(4):931-936.WANG Chengwei,BIN Jun,FAN Wei,et al.Rapid discrimination of maturity of tobacco leaf based on near-infrared spectroscopy and random forest[J].Southwest China Journal of Agricultural Sciences,2017,30(4):931-936.
[5]潘威,马文广,郑昀晔,等.用近红外光谱无损测定烟草种子淀粉含量[J].烟草科技,2017,50(2):15-21.PAN Wei,MA Wenguang,ZHENG Yunye,et al.Nondestructive determination of starch content in tobacco seeds by near infrared spectroscopy[J].Tobacco Science&Technology,2017,50(2):15-21.
[6]吴进芝,李军,杜文,等.制丝线烟丝质量在线监测近红外模型的建立与应用[J].烟草科技,2017,50(10):69-73.WU Jinzhi,LI Jun,DU Wen,et al.Establishment and application of NIR models for online cut tobacco quality monitoring in primary processing[J].Tobacco Science&Technology,2017,50(10):69-73.
[7]袁洪福,陆婉珍.现代光谱分析中常用的化学计量学方法[J].现代科学仪器,1998(5):6-9.YUAN Hongfu,LU Wanzhen.Popular chemometrics used in spectrometric analysis[J].Modern Scientific Instruments,1998(5):6-9.
[8]严衍禄,赵龙莲,李军会,等.现代近红外光谱分析的信息处理技术[J].光谱学与光谱分析,2000,20(6):777-780.YAN Yanlu,ZHAO Longlian,LI Junhui,et al.Information technology of modern NIR spectral analysis[J].Spectroscopy and Spectral Analysis,2000,20(6):777-780.
[9]段凯,姬厚伟,刘剑,等.贵州复烤片烟中水溶性糖和烟碱近红外速测定量模型的建立[J].安徽农业科学,2017,45(15):79-82,87.DUAN Kai,JI Houwei,LIU Jian,et al.Establishment of near-infrared quantitative model for quick test of water-soluble sugar and nicotine in flue-cured tobacco in Guizhou[J].Journal of Anhui Agricultural Sciences,2017,45(15):79-82,87.
[10]陈萍,逄涛,吴玉萍,等.近红外光谱法预测云南香料烟中总糖、还原糖和总氮[J].光谱实验室,2012,29(1):103-106.CHEN Ping,PANG Tao,WU Yuping,et al.Prediction of total sugar,reducing sugar and total nitrogen in aromatic tobacco of Yunnan by near infrared spectrometry[J].Chinese Journal of Spectroscopy Laboratory,2012,29(1):103-106.
[11]张璐,唐兴宏,马翔,等.应用近红外光谱分析不同生态环境的烟叶特性[J].光谱学与光谱分析,2012,32(3):664-668.ZHANG Lu,TANG Xinghong,MA Xiang,et al.Research on characteristic of tobaccos from different ecological environments base on near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2012,32(3):664-668.
[12]张云贵,刘青丽,王建伟,等.基于气象因子的烤烟香型分区模型构建及应用[J].烟草科技,2015,48(10):19-25.ZHANG Yungui,LIU Qingli,WANG Jianwei,et al.Establishment and application of regional division model for flue-cured tobacco flavor types based on meteorological factors[J].Tobacco Science&Technology,2015,48(10):19-25.
[13]周金仙.不同生态条件下烟草品种产量与品质的变化[J].烟草科技,2005(9):32-35.ZHOU Jinxian.Yield and quality changes of tobacco varieties in different ecological zones[J].Tobacco Science&Technology,2005(9):32-35.
[14]邵丽,晋艳,杨宇虹,等.生态条件对不同烤烟品种烟叶产质量的影响[J].烟草科技,2002(10):40-45.SHAO Li,JIN Yan,YANG Yuhong,et al.Influences of ecological conditions on the yield and quality of different flue-cured cultivars[J].Tobacco Science&Technology,2002(10):40-45.
[15]徐广通,袁洪福,陆婉珍.近红外光谱定量校正模型适用性研究[J].光谱学与光谱分析,2001,21(4):459-463.XU Guangtong,YUAN Hongfu,LU Wanzhen.Study of quantitative calibration model suitability in near-infrared spectroscopy analysis[J].Spectroscopy and Spectral Analysis,2001,21(4):459-463.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |