在线检测无花果中可溶性固形物的近红外漫透射技术研究
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摘要
采用近红外光谱漫透射技术,建立无花果可溶性固形物(SSC)的在线、无损、快速检测方法,对于无花果品质的快速分级具有重要意义.试验对203个无花果进行了近红外光谱采集与SSC测量,采用偏最小二乘(PLS)建立SSC的预测模型,比较了不同一阶导数窗口宽度对模型结果的影响,确定最佳宽度为61,并采用无信息变量消除法(UVE)进行波长优选.结果表明,UVE-PLS能够有效简化模型,波长变量由1010个降低到211个,同时PLS模型的精度也得到了很大的提高,校正均方根误差(RMSEC)、交叉验证均方根误差(RMSECV)、预测均方根误差(RMSEP)分别为0.63°Brix、0.78°Brix、0.83°Brix,校正相关系数(RC)、交叉验证相关系数(RCV)、预测相关系数(RP)分别为0.89、0.83、0.83.本研究为无花果品质的在线无损检测提供了有效的理论依据与实践经验.
It is of great importance for the fast quality classification of figs usingthe fast,nondestructive and online determination ofsoluble solids content( SSC) based on near infrared( NIR) spectroscopy. The diffuse transmission NIR spectra were obtained from a total of 203 figs by a QE65 prospectrometer and the SSC in figs was measured using a portable refractometer. Thenthe partial least squares( PLS) was used to build the prediction model for SSC. After compared the effect of the spectral variables width of 1 st derivative on the model accuracy,the optimal width 61 is obtained. Uninformative variable elimination PLS( UVE) was used for wavelength selection. The results show that UVE simplifies the model,and the wavelength variables are reduced from 1010 to 211 and the precision of the UVE-PLS model is enhanced. The root mean square error of calculation( RMSEC),root mean square error of cross-validation( RMSECV) and root mean square error of prediction( RMSEP) are 0. 63 °Brix,0. 78°Brix and0. 83 °Brix,respectively,and the correlation coefficient of calibration( RC),correlation coefficient of cross-validation( RCV) and correlation coefficient of prediction( RP) are 0. 89,0. 83 and 0. 83,respectively. This work supplies effective theory and practical experience for the un-destructive on-line quality detection of figs.
It is of great importance for the fast quality classification of figs usingthe fast,nondestructive and online determination ofsoluble solids content( SSC) based on near infrared( NIR) spectroscopy. The diffuse transmission NIR spectra were obtained from a total of 203 figs by a QE65 prospectrometer and the SSC in figs was measured using a portable refractometer. Thenthe partial least squares( PLS) was used to build the prediction model for SSC. After compared the effect of the spectral variables width of 1 st derivative on the model accuracy,the optimal width 61 is obtained. Uninformative variable elimination PLS( UVE) was used for wavelength selection. The results show that UVE simplifies the model,and the wavelength variables are reduced from 1010 to 211 and the precision of the UVE-PLS model is enhanced. The root mean square error of calculation( RMSEC),root mean square error of cross-validation( RMSECV) and root mean square error of prediction( RMSEP) are 0. 63 °Brix,0. 78°Brix and0. 83 °Brix,respectively,and the correlation coefficient of calibration( RC),correlation coefficient of cross-validation( RCV) and correlation coefficient of prediction( RP) are 0. 89,0. 83 and 0. 83,respectively. This work supplies effective theory and practical experience for the un-destructive on-line quality detection of figs.
引文
[1]刘军,张百江.无花果提取物对肺癌细胞增殖及凋亡影响的初步观察[J].中华肿瘤防治杂志,2008,15(9):665-667.LIU Jun,ZHANG Baijiang.Proliferation inhibition and apoptosis induction of fig extract on human lung cancer cells[J].Chinese Journal of Cancer Prevention and Treatment,2008,15(9):665-667.(in Chinese)
[2]王振斌,马海乐,马晓珂,等.无花果渣脂溶性物质的化学成分和体外抗肿瘤的活性研究[J].林产化学与工业,2010,30(4):48-52.WANG Zhenbin,MA Haile,MA Xiaoke,et al.Lipidsoluble components from fig residue and its anti-tumor activities in vitro[J].Chemistry and Industry of Forest Products,2010,30(4):48-52.(in Chinese)
[3]周宁,陈江涛,于文燕.无花果水提取液对抑制肿瘤细胞增殖作用的初步研究[J].新疆医科大学学报,2016,39(1):42-47.ZHOU Ning,CHEN Jiangtao,YU Wenyan.Antiproliferation activity of water extract from Ficuscarica L.fruit on cervical cancer cell line[J].Journal of Xinjiang Medical University,2016,39(1):42-47.(in Chinese)
[4]曹尚银,杨福兰,吴顺.无花果抗癌作用研究新进展[J].林业科技开发,2004,18(2):13-15.CAO Shangyin,YANG Fulan,WU Shun.The review of anti-cancer effect of fig[J].Forest Technology Development,2004,18(2):13-15.(in Chinese)
[5]孙通,应义斌,刘魁武,等.梨可溶性固形物含量的在线近红外光谱检测[J].光谱学与光谱分析,2008,28(11):2536-2539.SUN Tong,YING Yibin,LIU Kuiwu,et al.Online detection of soluble solids content of pear by near infrared transmission spectrum[J].Spectrosc Spect Anal,2008,28(11):2536-2539.(in Chinese)
[6]何东健,前川孝昭,森岛博.水果内部品质在线近红外分光检测装置及试验[J].农业工程学报,2001,17(1):146-148.HE Dongjian,TAKAAKI Maekawa,Hiroshi Morishima.Detecting device for on-line detection of internal quality of fruits using near-infrared spectroscopy and the related experiments[J].Transactions of the CSAE,2001,17(1):146-148.(in Chinese)
[7]罗华平,卢启鹏,丁海泉,等.南疆红枣品质近红外光谱在线模型参数的实验研究[J].光谱学与光谱分析,2012,32(5):1225-1229.LUO Huaping,LU Qipeng,DING Haiquan,et al.Study on online detection modeling parameters of jujube internal quality of Southern Xinjiang with near infrared spectrometric techniques[J].Spectrosc Spect Anal,2012,32(5):1225-1229.(in Chinese)
[8]孙通,林金龙,许文丽,等.可见/近红外半透射结合CARS方法在线检测脐橙SSC[J].江苏大学学报(自然科学版),2013,34(6):663-668.SUN Tong,LIN Jinlong,XU Wenli,et al.On-line detection of SSC of navel oranges by Vis/NIR spectra and CARS method[J].Journal of Jiangsu University(Natural Science Edition),2013,34(6):663-668.(in Chinese)
[9]JIE D,XIE L,RAO X,et al.Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system[J].Postharvest Biology and Technology,2014,90:1-6.DOI:10.1016/j.postharvbio.2013.11.009.
[10]田海清,应义斌,徐惠荣,等.西瓜可溶性固形物含量近红外透射检测技术[J].农业机械学报,2007(5):111-113.TIAN Haiqing,YING Yibin,XU Huirong,et al.Near-infrared transmittance measuring technique for soluble solids content of watermelon[J].T Chin Soc Agric Mach,2007(5):111-113.(in Chinese)
[11]田海清,应义斌,陆辉山,等.可见/近红外光谱漫透射技术检测西瓜坚实度的研究[J].光谱学与光谱分析,2007(6):1113-1117.TIAN Haiqing,YING Yibin,LU Huishan,et al.Study on predicting firmness of watermelon by vis/NIR diffuse transmittance technique[J].Spectrosc Spect Anal,2007(6):1113-1117.(in Chinese)
[12]CHEN Q,DING J,CAI J,et al.Rapid measurement of total acid content(TAC)in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools[J].Food Chem,2012,135(2):590-595.DOI:10.1016/j.foodchem.2012.05.011.
[13]YAN H,HAN B X,WU Q Y,et al.Rapid detection of rosa laevigata polysaccharide content by near-infrared spectroscopy[J].Spectrochim Acta A Mol Biomol Spectrosc,2011,79(1):179-184.DOI:10.1016/j.saa.2011.02.032.
[14]YANH,LU D L,CHEN B,et al.Development of a hand-held near infrared system based on an android OS and micro NIR,and its application in measuring soluble solids content in fuji apples[J].NIR News,2014,25(4):16-19.DOI:10.1255/nirn.1446.
[15]耿响,陈斌,朱文静,等.积分光谱与近红外光谱分析精度关系的研究[J].光学学报,2009(12):3551-3555.GENG Xiang,CHEN Bin,ZHU Wenjing,et al.Study on the relation between integration spectrum and accuracy of near infrared spectroscopic analysis[J].Acta Optica Sinica,2009(12):3551-3555.(in Chinese)
[16]黄凌霞,吴迪,金航峰,等.基于变量选择的蚕茧茧层量可见-近红外光谱无损检测[J].农业工程学报,2010,26(2):231-236.HUANG Ningxia,WU Di,JIN Hangfeng,et al.Nondestructive detection of cocoon shell weight based on variable selection by visible and near infrared spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering,2010,26(2):231-236.(in Chinese)
[17]褚小立,袁洪福,陆婉珍.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,2004,16(4):528-542.CHU Xiaoli,YUAN Hongfu,LU Wanzhen.Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J].Progress in Chemistry,2004,16(4):528-542.(in Chinese)
[18]BAO Y,LIU F,KONG W,et al.Measurement of soluble solid contents and p H of white vinegars using VIS/NIR spectroscopy and least squares support vector machine[J].Food and Bioprocess Technology,2013,7(1):54-61.DOI:10.1007/s11947-013-1065-0.
[19]颜辉,陈斌,朱文静.基于近红外光谱分析法的奶粉品质快速检测[J].农业机械学报,2009,40(7):149-152,137.YAN Hui,CHEN Bin,ZHU Wenjing.Quick determination method of milk powder quality by near-infrared spectroscopy[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(7):149-152,137.(in Chinese)
[20]TIAN Haiqing,YING Yibin,LU Huishan,et al.Measurement of soluble solids content in watermelon by Vis/NIR diffuse transmittance technique[J].Journal of Zhejiang University(Science B:An International Biomedicine&Biotechnology Journal),2007(2):105-110.DOI:10.1631/jzus.2007.B0105.
[21]LIN C A,AYVAZ H,RODRIGUEZ-SAONA L E.Application of portable and handheld infrared spectrometers for determination of sucrose levels in infant cereals[J].Food Analytical Methods,2013,7(7):1407-1414.DOI:10.1007/s12161-013-9763-9.
[22]糜林.无花果分级标准及流通技术[J].农家致富,2003(18):25.MI Lin.Fig classification standard and circulation technology[J].Farmers to Get Rich,2003(18):25.(in Chinese)
[2]王振斌,马海乐,马晓珂,等.无花果渣脂溶性物质的化学成分和体外抗肿瘤的活性研究[J].林产化学与工业,2010,30(4):48-52.WANG Zhenbin,MA Haile,MA Xiaoke,et al.Lipidsoluble components from fig residue and its anti-tumor activities in vitro[J].Chemistry and Industry of Forest Products,2010,30(4):48-52.(in Chinese)
[3]周宁,陈江涛,于文燕.无花果水提取液对抑制肿瘤细胞增殖作用的初步研究[J].新疆医科大学学报,2016,39(1):42-47.ZHOU Ning,CHEN Jiangtao,YU Wenyan.Antiproliferation activity of water extract from Ficuscarica L.fruit on cervical cancer cell line[J].Journal of Xinjiang Medical University,2016,39(1):42-47.(in Chinese)
[4]曹尚银,杨福兰,吴顺.无花果抗癌作用研究新进展[J].林业科技开发,2004,18(2):13-15.CAO Shangyin,YANG Fulan,WU Shun.The review of anti-cancer effect of fig[J].Forest Technology Development,2004,18(2):13-15.(in Chinese)
[5]孙通,应义斌,刘魁武,等.梨可溶性固形物含量的在线近红外光谱检测[J].光谱学与光谱分析,2008,28(11):2536-2539.SUN Tong,YING Yibin,LIU Kuiwu,et al.Online detection of soluble solids content of pear by near infrared transmission spectrum[J].Spectrosc Spect Anal,2008,28(11):2536-2539.(in Chinese)
[6]何东健,前川孝昭,森岛博.水果内部品质在线近红外分光检测装置及试验[J].农业工程学报,2001,17(1):146-148.HE Dongjian,TAKAAKI Maekawa,Hiroshi Morishima.Detecting device for on-line detection of internal quality of fruits using near-infrared spectroscopy and the related experiments[J].Transactions of the CSAE,2001,17(1):146-148.(in Chinese)
[7]罗华平,卢启鹏,丁海泉,等.南疆红枣品质近红外光谱在线模型参数的实验研究[J].光谱学与光谱分析,2012,32(5):1225-1229.LUO Huaping,LU Qipeng,DING Haiquan,et al.Study on online detection modeling parameters of jujube internal quality of Southern Xinjiang with near infrared spectrometric techniques[J].Spectrosc Spect Anal,2012,32(5):1225-1229.(in Chinese)
[8]孙通,林金龙,许文丽,等.可见/近红外半透射结合CARS方法在线检测脐橙SSC[J].江苏大学学报(自然科学版),2013,34(6):663-668.SUN Tong,LIN Jinlong,XU Wenli,et al.On-line detection of SSC of navel oranges by Vis/NIR spectra and CARS method[J].Journal of Jiangsu University(Natural Science Edition),2013,34(6):663-668.(in Chinese)
[9]JIE D,XIE L,RAO X,et al.Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system[J].Postharvest Biology and Technology,2014,90:1-6.DOI:10.1016/j.postharvbio.2013.11.009.
[10]田海清,应义斌,徐惠荣,等.西瓜可溶性固形物含量近红外透射检测技术[J].农业机械学报,2007(5):111-113.TIAN Haiqing,YING Yibin,XU Huirong,et al.Near-infrared transmittance measuring technique for soluble solids content of watermelon[J].T Chin Soc Agric Mach,2007(5):111-113.(in Chinese)
[11]田海清,应义斌,陆辉山,等.可见/近红外光谱漫透射技术检测西瓜坚实度的研究[J].光谱学与光谱分析,2007(6):1113-1117.TIAN Haiqing,YING Yibin,LU Huishan,et al.Study on predicting firmness of watermelon by vis/NIR diffuse transmittance technique[J].Spectrosc Spect Anal,2007(6):1113-1117.(in Chinese)
[12]CHEN Q,DING J,CAI J,et al.Rapid measurement of total acid content(TAC)in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools[J].Food Chem,2012,135(2):590-595.DOI:10.1016/j.foodchem.2012.05.011.
[13]YAN H,HAN B X,WU Q Y,et al.Rapid detection of rosa laevigata polysaccharide content by near-infrared spectroscopy[J].Spectrochim Acta A Mol Biomol Spectrosc,2011,79(1):179-184.DOI:10.1016/j.saa.2011.02.032.
[14]YANH,LU D L,CHEN B,et al.Development of a hand-held near infrared system based on an android OS and micro NIR,and its application in measuring soluble solids content in fuji apples[J].NIR News,2014,25(4):16-19.DOI:10.1255/nirn.1446.
[15]耿响,陈斌,朱文静,等.积分光谱与近红外光谱分析精度关系的研究[J].光学学报,2009(12):3551-3555.GENG Xiang,CHEN Bin,ZHU Wenjing,et al.Study on the relation between integration spectrum and accuracy of near infrared spectroscopic analysis[J].Acta Optica Sinica,2009(12):3551-3555.(in Chinese)
[16]黄凌霞,吴迪,金航峰,等.基于变量选择的蚕茧茧层量可见-近红外光谱无损检测[J].农业工程学报,2010,26(2):231-236.HUANG Ningxia,WU Di,JIN Hangfeng,et al.Nondestructive detection of cocoon shell weight based on variable selection by visible and near infrared spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering,2010,26(2):231-236.(in Chinese)
[17]褚小立,袁洪福,陆婉珍.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,2004,16(4):528-542.CHU Xiaoli,YUAN Hongfu,LU Wanzhen.Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J].Progress in Chemistry,2004,16(4):528-542.(in Chinese)
[18]BAO Y,LIU F,KONG W,et al.Measurement of soluble solid contents and p H of white vinegars using VIS/NIR spectroscopy and least squares support vector machine[J].Food and Bioprocess Technology,2013,7(1):54-61.DOI:10.1007/s11947-013-1065-0.
[19]颜辉,陈斌,朱文静.基于近红外光谱分析法的奶粉品质快速检测[J].农业机械学报,2009,40(7):149-152,137.YAN Hui,CHEN Bin,ZHU Wenjing.Quick determination method of milk powder quality by near-infrared spectroscopy[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(7):149-152,137.(in Chinese)
[20]TIAN Haiqing,YING Yibin,LU Huishan,et al.Measurement of soluble solids content in watermelon by Vis/NIR diffuse transmittance technique[J].Journal of Zhejiang University(Science B:An International Biomedicine&Biotechnology Journal),2007(2):105-110.DOI:10.1631/jzus.2007.B0105.
[21]LIN C A,AYVAZ H,RODRIGUEZ-SAONA L E.Application of portable and handheld infrared spectrometers for determination of sucrose levels in infant cereals[J].Food Analytical Methods,2013,7(7):1407-1414.DOI:10.1007/s12161-013-9763-9.
[22]糜林.无花果分级标准及流通技术[J].农家致富,2003(18):25.MI Lin.Fig classification standard and circulation technology[J].Farmers to Get Rich,2003(18):25.(in Chinese)