滑皮金桔糖度的近红外光谱无损检测技术
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摘要
【目的】采用近红外光谱技术对滑皮金桔的糖度开展无损检测技术研究,为今后实现滑皮金桔在线糖度品质分级分选提供参考依据。【方法】以NIR Magic 1100型便携式果品近红外光谱分析仪为主要研究设备,对采集的滑皮金桔光谱分别进行S-G卷积平滑(SG-smooth)、标准正态变量变换(SNV)和多元散射校正(MSC)处理,结合偏最小二乘法建立滑皮金桔糖度预测模型并进行验证。【结果】建模的最佳光谱波段为720～920 nm;光谱采用SG-smooth处理后建立模型的校正集相关系数为0.9531,校正集均方根误差为0.6436,相对分析误差为3.55,均优于采用SNV和MSC处理建立的模型效果。对预测模型进行验证显示,糖度预测值与实际值的相关系数为0.9582,均方根误差为0.5187,相对分析误差为3.24。【结论】采用近红外光谱快速检测滑皮金桔糖度可行,建立的预测模型稳定性好、精度较高,可为滑皮金桔在线分选及无损检测设备的开发提供技术参考。
【Objective】In order to provide reference for quick non-destructive grading of Huapi kumquat after harvest according to sugar quality,the non-destructive measurement for sugar in Huapi kumquat was carried out by using near infrared spectroscopy.【Method】NIR Magic 1100 portable fruit near infrared spectroscopy analyzer was the main research equipment. Savitzky-Golay smooth(SG-smooth),standard normal variable transformation(SNV)and muliplication scattering correction(MSC)treatments were conducted on the Huapi kumquat spectrum,and the Huapi kumquat sugar forecasting model was established combined with partial least squares.【Result】720-920 nm was the best model spectral band.After the SG-smooth processing,the correlation coefficient of calibration of the model established was 0.9531,the root mean square error of calibration was 0.6436,the relative percent deviation(RPD)3.55. The results were all better than the model treated by SNV and MSC. The prediction model was validated. The correlation coefficient between the predicted value and the measured value of sugar was 0.9582,the root mean square error was 0.5187 and the relative percent deviation 3.24.【Conclusion】In this study,a rapid and non-destructive test for the sugar content of Huapi kumquat is achieved.The good stability and high accuracy of the prediction model can provide reference for the future development of on-line classification and non-destructive testing equipment for Huapi kumquat.
【Objective】In order to provide reference for quick non-destructive grading of Huapi kumquat after harvest according to sugar quality,the non-destructive measurement for sugar in Huapi kumquat was carried out by using near infrared spectroscopy.【Method】NIR Magic 1100 portable fruit near infrared spectroscopy analyzer was the main research equipment. Savitzky-Golay smooth(SG-smooth),standard normal variable transformation(SNV)and muliplication scattering correction(MSC)treatments were conducted on the Huapi kumquat spectrum,and the Huapi kumquat sugar forecasting model was established combined with partial least squares.【Result】720-920 nm was the best model spectral band.After the SG-smooth processing,the correlation coefficient of calibration of the model established was 0.9531,the root mean square error of calibration was 0.6436,the relative percent deviation(RPD)3.55. The results were all better than the model treated by SNV and MSC. The prediction model was validated. The correlation coefficient between the predicted value and the measured value of sugar was 0.9582,the root mean square error was 0.5187 and the relative percent deviation 3.24.【Conclusion】In this study,a rapid and non-destructive test for the sugar content of Huapi kumquat is achieved.The good stability and high accuracy of the prediction model can provide reference for the future development of on-line classification and non-destructive testing equipment for Huapi kumquat.
引文
白倩,周金池.2014.近红外光谱技术在水果产业中的最新应用[J].光谱实验室,31(6):662-667.[Bai Q,Zhou J C.2014.The latest applications of near infrared spectroscopy in the fruit industry[J].Chinese Journal of Spectroscopy Laboratory,31(6):662-667.]
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董一威,籍保平,史波林,朱大洲,屠振华,汪群杰.2007.苹果中糖酸度的CCD近红外光谱分析[J].食品科学,28(8):376-380.[Dong Y W,Ji B P,Shi B L,Zhu D Z,Tu Z H,Wang Q J.2007.CCD-NIR analysis of acidity and sugar content in apples[J].Food Science,28(8):376-380.]
宫元娟,裴军强,李宏博,冯雨龙,宁晓峰.2017.便携式苹果品质快速无损检测系统设计[J].沈阳农业大学学报,48(2):238-243.[Gong Y J,Pei J Q,Li H B,Feng Y L,Ning X F.2017.Design of portable quickly nondestructive detection system apple quality[J].Journal of Shenyang Agricultural University,48(2):238-243.]
李志霞,聂继云.2013.无损检测技术及其在果品质量安全检测中的应用[J].中国农业科技导报,15(4):31-35.[Li ZX,Nie J Y.2013.Nondestructive testing technologies and its application in fruit quality and safety determination[J].Journal of Agricultural Science and Technology,15(4):31-35.]
陆婉珍.2010.现代近红外光谱分析技术[M].第2版.北京:中国石化出版社.[Lu W Z.2010.Modern Near Infrared Spectroscopy Analysis Technology[M].The 2ndEdition.Beijing:China Petrochemical Press.]
马广,傅霞萍,周莹,应义斌,徐惠荣,谢丽娟,林涛.2007.大白桃糖度的近红外漫反射光谱无损检测试验研究[J].光谱学与光谱分析,27(5):907-910.[Ma G,Fu X P,Zhou Y,Ying Y B,Xu H R,Xie L J,Lin T.2007.Nondestructive sugar content determination of peaches by using near infrared spectroscopy technique[J].Spectroscopy and Spectral Analysis,27(5):907-910.]
尼珍,胡昌勤,冯芳.2008.近红外光谱分析中光谱预处理方法的作用及其发展[J].药物分析杂志,28(5):824-829.[Ni Z,Hu C Q,Feng F.2008.Progress and effect of spectral data pretreatment in NIR analytical technique[J].Chinese Journal of Pharmaceutical Analysis,28(5):824-829.]
潘雪燕.2012.融安金桔鲜果品质综述[J].广西轻工业,(7):7.[Pan X Y.2012.Summary on the quality of fresh kumquat fruit[J].Guangxi Journal of Light Industry,(7):7.]
孙亚强,吴翠云,王德,王志强.2015.近红外光谱技术在果品无损检测中的应用研究进展[J].中国果树,31(6):77-84.[Sun Y Q,Wu C Y,Wang D,Wang Z Q.2015.Progress in application of near infrared spectroscopy to nondestructive testing of fruit[J].China Fruits,31(6):77-84.]
王凡,李永玉,彭彦昆,李龙.2017.便携式番茄多品质参数可见/近红外检测装置研发[J].农业工程学报,33(19):295-300.[Wang F,Li Y Y,Peng Y K,Li L.2017.Development of portable device for simultaneous detection on multi-quality attributes of tomato by visible and near-infrared[J].Transactions of the Chinese Society of Agricultural Engineering,33(19):295-300.]
王加华,韩东海.2009.便携式近红外水果糖度分析模型简化研究[J].食品安全质量检测技术,1(1):32-38.[Wang JH,Han D H.2009.Simplification of NIR model for determination of SSC in fruits by portable NIR instrument[J].Food Safety and Quality Detection Technology,1(1):32-38.]
徐惠荣,李青青.2017.皇冠梨糖度可见/近红外光谱在线检测模型传递研究[J].农业机械学报,48(9):312-317.[Xu H R,Li Q Q.2017.Calibration model transfer between visible/NIR spectrometers in the sugar content on-line detection of crown pears[J].Transactions of the Chinese Society of Agricultural Machinery,48(9):312-317.]
袁雷,刘辉军,余桂英,郑颖君.2006.柑橘品质的近红外光谱无损检测[J].光谱实验室,23(4):820-822.[Yuan L,Liu H J,Yu G Y,Zheng Y J.2006.Non-destructive testing for quality parameters in orange by NIR[J].Chinese Journal of Spectroscopy Laboratory,23(4):820-822.]
郅建军,陈通,孙武坚,王春峰,郭丽,陈斌.2016.微型近红外光谱仪检测水果可溶性固形物[J].分析仪器,(1):71-76.[Zhi J J,Chen T,Sun W J,Wang C F,Guo L,Chen B.2016.Detection of the soluble solids content(SSC)in fruit using miniature NIR spectrometry[J].Analytical Instrumentation,(1):71-76.]
宗莉,薛娴,王涛,尤全刚.2010.近红外光谱分析技术在水果内部品质无损检测中的应用[J].安徽农业科学,38(6):2765-2767.[Zong L,Xue X,Wang T,You Q G.2010.Application of near infrared spectra technique for non-destructive measurement on fruit internal quality[J].Journal of Anhui Agricultural Sciences,38(6):2765-2767.]
Malley D F,McClure C,Martin P D,Buckley K,McCaughey W P.2005.Compositional analysis of cattle manure during composting using a field-portable near-infrared spectrometer[J].Communications in Soil Science and Plant Analysis,36(4-6):455-475.
褚小立,袁洪福,陆婉珍.2004.近红外分析中光谱预处理及波长选择方法进展与应用[J].化学进展,16(4):528-531.[Chu X L,Yuan H F,Lu W Z.2004.Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J].Progress in Chemistry,16(4):528-531.]
董一威,籍保平,史波林,朱大洲,屠振华,汪群杰.2007.苹果中糖酸度的CCD近红外光谱分析[J].食品科学,28(8):376-380.[Dong Y W,Ji B P,Shi B L,Zhu D Z,Tu Z H,Wang Q J.2007.CCD-NIR analysis of acidity and sugar content in apples[J].Food Science,28(8):376-380.]
宫元娟,裴军强,李宏博,冯雨龙,宁晓峰.2017.便携式苹果品质快速无损检测系统设计[J].沈阳农业大学学报,48(2):238-243.[Gong Y J,Pei J Q,Li H B,Feng Y L,Ning X F.2017.Design of portable quickly nondestructive detection system apple quality[J].Journal of Shenyang Agricultural University,48(2):238-243.]
李志霞,聂继云.2013.无损检测技术及其在果品质量安全检测中的应用[J].中国农业科技导报,15(4):31-35.[Li ZX,Nie J Y.2013.Nondestructive testing technologies and its application in fruit quality and safety determination[J].Journal of Agricultural Science and Technology,15(4):31-35.]
陆婉珍.2010.现代近红外光谱分析技术[M].第2版.北京:中国石化出版社.[Lu W Z.2010.Modern Near Infrared Spectroscopy Analysis Technology[M].The 2ndEdition.Beijing:China Petrochemical Press.]
马广,傅霞萍,周莹,应义斌,徐惠荣,谢丽娟,林涛.2007.大白桃糖度的近红外漫反射光谱无损检测试验研究[J].光谱学与光谱分析,27(5):907-910.[Ma G,Fu X P,Zhou Y,Ying Y B,Xu H R,Xie L J,Lin T.2007.Nondestructive sugar content determination of peaches by using near infrared spectroscopy technique[J].Spectroscopy and Spectral Analysis,27(5):907-910.]
尼珍,胡昌勤,冯芳.2008.近红外光谱分析中光谱预处理方法的作用及其发展[J].药物分析杂志,28(5):824-829.[Ni Z,Hu C Q,Feng F.2008.Progress and effect of spectral data pretreatment in NIR analytical technique[J].Chinese Journal of Pharmaceutical Analysis,28(5):824-829.]
潘雪燕.2012.融安金桔鲜果品质综述[J].广西轻工业,(7):7.[Pan X Y.2012.Summary on the quality of fresh kumquat fruit[J].Guangxi Journal of Light Industry,(7):7.]
孙亚强,吴翠云,王德,王志强.2015.近红外光谱技术在果品无损检测中的应用研究进展[J].中国果树,31(6):77-84.[Sun Y Q,Wu C Y,Wang D,Wang Z Q.2015.Progress in application of near infrared spectroscopy to nondestructive testing of fruit[J].China Fruits,31(6):77-84.]
王凡,李永玉,彭彦昆,李龙.2017.便携式番茄多品质参数可见/近红外检测装置研发[J].农业工程学报,33(19):295-300.[Wang F,Li Y Y,Peng Y K,Li L.2017.Development of portable device for simultaneous detection on multi-quality attributes of tomato by visible and near-infrared[J].Transactions of the Chinese Society of Agricultural Engineering,33(19):295-300.]
王加华,韩东海.2009.便携式近红外水果糖度分析模型简化研究[J].食品安全质量检测技术,1(1):32-38.[Wang JH,Han D H.2009.Simplification of NIR model for determination of SSC in fruits by portable NIR instrument[J].Food Safety and Quality Detection Technology,1(1):32-38.]
徐惠荣,李青青.2017.皇冠梨糖度可见/近红外光谱在线检测模型传递研究[J].农业机械学报,48(9):312-317.[Xu H R,Li Q Q.2017.Calibration model transfer between visible/NIR spectrometers in the sugar content on-line detection of crown pears[J].Transactions of the Chinese Society of Agricultural Machinery,48(9):312-317.]
袁雷,刘辉军,余桂英,郑颖君.2006.柑橘品质的近红外光谱无损检测[J].光谱实验室,23(4):820-822.[Yuan L,Liu H J,Yu G Y,Zheng Y J.2006.Non-destructive testing for quality parameters in orange by NIR[J].Chinese Journal of Spectroscopy Laboratory,23(4):820-822.]
郅建军,陈通,孙武坚,王春峰,郭丽,陈斌.2016.微型近红外光谱仪检测水果可溶性固形物[J].分析仪器,(1):71-76.[Zhi J J,Chen T,Sun W J,Wang C F,Guo L,Chen B.2016.Detection of the soluble solids content(SSC)in fruit using miniature NIR spectrometry[J].Analytical Instrumentation,(1):71-76.]
宗莉,薛娴,王涛,尤全刚.2010.近红外光谱分析技术在水果内部品质无损检测中的应用[J].安徽农业科学,38(6):2765-2767.[Zong L,Xue X,Wang T,You Q G.2010.Application of near infrared spectra technique for non-destructive measurement on fruit internal quality[J].Journal of Anhui Agricultural Sciences,38(6):2765-2767.]
Malley D F,McClure C,Martin P D,Buckley K,McCaughey W P.2005.Compositional analysis of cattle manure during composting using a field-portable near-infrared spectrometer[J].Communications in Soil Science and Plant Analysis,36(4-6):455-475.
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