基于近红外光谱法的卷烟包装材料色差分析
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- 英文论文题名：Analysis of color difference of cigarette packaging material based on near-infrared spectroscopy
- 论文作者：张翼鹏 ; 李超 ; 赵敏 ; 秦云华 ; 段焰青 ; 张承明 ; 李伟 ; 张耀 ; 蒋次清 ; 邹楠
- 英文论文作者：ZHANG Yipeng ; LI Chao ; ZHAO Min ; QIN Yunhua ; DUAN Yanqing ; ZHANG Chengming ; LI Wei ; ZHANG Yao ; JIANG Ciqing ; ZOU Nan ; Technology Center ; China Tobacco Yunnan Industrial Co. ; Ltd. ; Yunnan Reascend Tobacco Technology(Group)Co. ; Ltd. ; Honghe Cigarette Factory ; HongyunHonghe Tobacco(Group)Co. ; Ltd.
- 年：2016
- 作者机构：云南中烟工业有限责任公司技术中心;云南瑞升烟草技术(集团)有限公司;红云红河烟草(集团)技术中心红河卷烟厂;
- 论文关键词：近红外光谱 ; 色差分析 ; Gram-Schmidt正交化法 ; 相似度 ; 主成分分析 ; Hotelling T~2
- 英文论文关键词：NIR spectrum ; Color difference analysis ; Gram-Schmidt orthogonalization ; Similarity ; Principal component analysis ; Hotelling T~2
- 会议召开时间：2016-12-01
- 会议录名称：中国烟草学会2016年度优秀论文汇编——烟草工业主题
- 语种：中文
- 分类号：TS452.7
- 学会代码：ZGYG
- 学会名称：中国烟草学会
- 页数：7
- 文件大小：399k
- 原文格式：D
摘要
为分析卷烟包装材料的色差,采集不同颜色油墨涂布白卡纸样品的近红外光谱,对光谱进行二阶微分、Karl Norris导数平滑及多元散射校正(MSC)预处理后,结合Gram-Schmidt正交化方法,建立包装材料色差分析模型。使用模型对待测样品进行相似度计算,并将样品的近红外法相似度计算结果与色差仪分析结果和视觉判别结果进行对比。结果表明:①当样品颜色浓度差低于5%或高于20%时,三者判断结果一致;②当样品颜色浓度差在5%~20%之间时,采用近红外法比色差仪法所得结果准确性更高;③采用近红外法对28个不同生产批次包装材料的色差情况进行判别,并通过主成分分析(PCA)和统计量Hotelling T~2判别进行验证,验证结果表明采用近红外法对不同生产批次包装材料进行色差分析是可行的。
In order to analyze the color difference of cigarette packaging material,the near-infrared spectrums of samples of white paperboard coated with inks of different colors were collected and pre-processed via second differential,Karl Norris derivative smoothing and multiplicative signal correction,then a color difference analysis model was established by incorporating Gram-Schmidt orthogonalization.The values of similarity between standard samples and tested samples were calculated by the model,and the calculated values were compared with the results distinguished by colorimeter and visual judgment.The results showed that:1) When the color density of sample was lower than 5%or higher than 20%,the three methods gave identical results.2)When the color density ranged from 5%to 20%,the results obtained by NIR were more accurate than those by colorimeter.3) The color differences of samples from 28 batches were distinguished by NIR,then verified via principal component analysis and Hotelling T~2 test,the results indicated that it was feasible to analyze the color difference of cigarette packaging material from different batches with NIR spectroscopy.
In order to analyze the color difference of cigarette packaging material,the near-infrared spectrums of samples of white paperboard coated with inks of different colors were collected and pre-processed via second differential,Karl Norris derivative smoothing and multiplicative signal correction,then a color difference analysis model was established by incorporating Gram-Schmidt orthogonalization.The values of similarity between standard samples and tested samples were calculated by the model,and the calculated values were compared with the results distinguished by colorimeter and visual judgment.The results showed that:1) When the color density of sample was lower than 5%or higher than 20%,the three methods gave identical results.2)When the color density ranged from 5%to 20%,the results obtained by NIR were more accurate than those by colorimeter.3) The color differences of samples from 28 batches were distinguished by NIR,then verified via principal component analysis and Hotelling T~2 test,the results indicated that it was feasible to analyze the color difference of cigarette packaging material from different batches with NIR spectroscopy.
引文
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[5]王家俊,汪帆,马玲.SIMCA分类法与PLS算法结合近红外光谱应用于卷烟纸的质量控制[J].光谱学与光谱分析,2006,26(10):1858-1862.WANG Jiajun,WANG Fan,MA Ling.The quality assessment of cigarette paper by SIMCA and PLS combined with near infrared spectrum[J].Spectroscopy and Spectral Analysis,2006,26(10):1858-1862.
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[8]袁大林,汤建国,杨晨龙,等.近红外光谱分析技术结合化学计量学方法快速判别品牌卷烟烟丝[C]//近红外光谱专业委员会全国第四届近红外光谱学术会议论文集.桂林:中国仪器仪表学会,2012:30-38.YUAN Dalin,TANG Jianguo,YANG Chenlong,et al.Near-infrared spectroscopy combined with chemometrics rapid identification brand cigarette tobacco[C]//Near Infrared Spectrum Professional Committee the forth national academic conference on near infrared spectrum.Guilin:China Instrument Society,2012:30-38.
[9]张建平,谢雯燕,束茹欣,等.烟草化学成分的近红外快速定量分析研究[J].烟草科技,1999(3):37-38.ZHANG Jianping,XIE Wenyan,SHU Ruxin,et al.The research of near infrared rapid quantitative analysis of tobacco chemical composition[J].Tobacco Science&Technology,1999(3):37-38.
[10]王家俊,梁逸曾,旺凡.偏最小二乘法结合傅里叶变换近红外光谱同时测定卷烟焦油、烟碱和一氧化碳的释放量[J].分析化学,2005,33(6):793-797.WANG Jiajun,LIANG Yizeng,WANG Fan.Smiultaneous determination of tar,nicotine and carbon monoxide in smoking by partial least squares and Fourier transform near infrared transmission spectrometry[J].Chinese Journal of Analytical Chemistry,2005,33(6):793-797.
[11]李超,张承明,叶灵,等.近红外分子光谱对卷烟包装纸可见光色差的分析[J].纸和造纸,2015(4):69-72.LI Chao,ZHANG Chengming,YE Ling,et al.Near infrared spectroscopy for color difference analysis of the visible color of cigarette packaging[J].Paper and Paper Making,2015(4):69-72.
[12]郭丽娟,李超,张承明,等.近红外和色差仪对卷烟商标色差分析的对比[J].纸和造纸,2015(6):59-61.GUO Lijuan,LI Chao,ZHANG Chengming,et al.Comparison of near infrared and color instrument for analysis of cigarette trademark color differences[J].Paper and Paper Making,2015(6):59-61.
[13]张尧庭,方开泰.多元统计分析引论[M].武汉:武汉大学出版社,2013.ZHANG Yaoting,FANG Kaitai.An introduction to multivariate statistical analysis[M].Wuhan:Wuhan University Press,2013.
[2]GB/T 8424—1987纺织品颜色和色差的测定方式[S].GB/T 8424—1987 The determination of textile color and color difference method[S].
[3]朱勇,刘泽,邱昌桂,等.箱式贮叶过程中烟叶品质变化的近红外表征[J].烟草科技,2013(10):8-11.ZHU Yong,LIU Ze,QIU Changgui,et al.Near-infrared spectroscopy characterization of quality variation trend of tobacco leaf stored in cases[J].Tobacco Science&Technology,2013(10):8-11.
[4]李伟,冯洪涛,周桂圆,等.Hotelling T~2结合多组分NIR校正模型在卷烟生产过程质量监测中的应用[J].烟草科技,2014(7):5-9.LI Wei,FENG Hongtao,ZHOU Guiyuan,et al.Quality monitoring in cigarette manufacturing process by combining Hotelling T~2 statistics and multicomponent NIR calibration model[J].Tobacco Science&Technology,2014(7):5-9.
[5]王家俊,汪帆,马玲.SIMCA分类法与PLS算法结合近红外光谱应用于卷烟纸的质量控制[J].光谱学与光谱分析,2006,26(10):1858-1862.WANG Jiajun,WANG Fan,MA Ling.The quality assessment of cigarette paper by SIMCA and PLS combined with near infrared spectrum[J].Spectroscopy and Spectral Analysis,2006,26(10):1858-1862.
[6]陆婉珍,袁洪福,徐广通,等.现代近红外光谱分析技术[M].北京:中国石化出版社,2006.LU Wanzhen,YUAN Hongfu,XU Guangtong,et al.The near infrared spectral analysis technology[M].Beijing:China Petrochemical Press,2006.
[7]张峰,刘江生,刘泽春,等.近红外透射光谱技术用于烟用香精的品质控制[J].中国烟草学报,2009,15(3):12-16.ZHANG Feng,LIU Jiangsheng,LIU Zechun,et al.Quality control in tobacco flavor by near-infrared transmittance spectroscopy[J].Acta Tabacaria Sinica,2009,15(3):12-16.
[8]袁大林,汤建国,杨晨龙,等.近红外光谱分析技术结合化学计量学方法快速判别品牌卷烟烟丝[C]//近红外光谱专业委员会全国第四届近红外光谱学术会议论文集.桂林:中国仪器仪表学会,2012:30-38.YUAN Dalin,TANG Jianguo,YANG Chenlong,et al.Near-infrared spectroscopy combined with chemometrics rapid identification brand cigarette tobacco[C]//Near Infrared Spectrum Professional Committee the forth national academic conference on near infrared spectrum.Guilin:China Instrument Society,2012:30-38.
[9]张建平,谢雯燕,束茹欣,等.烟草化学成分的近红外快速定量分析研究[J].烟草科技,1999(3):37-38.ZHANG Jianping,XIE Wenyan,SHU Ruxin,et al.The research of near infrared rapid quantitative analysis of tobacco chemical composition[J].Tobacco Science&Technology,1999(3):37-38.
[10]王家俊,梁逸曾,旺凡.偏最小二乘法结合傅里叶变换近红外光谱同时测定卷烟焦油、烟碱和一氧化碳的释放量[J].分析化学,2005,33(6):793-797.WANG Jiajun,LIANG Yizeng,WANG Fan.Smiultaneous determination of tar,nicotine and carbon monoxide in smoking by partial least squares and Fourier transform near infrared transmission spectrometry[J].Chinese Journal of Analytical Chemistry,2005,33(6):793-797.
[11]李超,张承明,叶灵,等.近红外分子光谱对卷烟包装纸可见光色差的分析[J].纸和造纸,2015(4):69-72.LI Chao,ZHANG Chengming,YE Ling,et al.Near infrared spectroscopy for color difference analysis of the visible color of cigarette packaging[J].Paper and Paper Making,2015(4):69-72.
[12]郭丽娟,李超,张承明,等.近红外和色差仪对卷烟商标色差分析的对比[J].纸和造纸,2015(6):59-61.GUO Lijuan,LI Chao,ZHANG Chengming,et al.Comparison of near infrared and color instrument for analysis of cigarette trademark color differences[J].Paper and Paper Making,2015(6):59-61.
[13]张尧庭,方开泰.多元统计分析引论[M].武汉:武汉大学出版社,2013.ZHANG Yaoting,FANG Kaitai.An introduction to multivariate statistical analysis[M].Wuhan:Wuhan University Press,2013.