|Table of Contents|

Rapid Nondestructive Test of Soybean Protein and Fat by Near Infrared Spectroscopy Combined with Different Model Methods(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2019年06期
Page:
968-976
Research Field:
Publishing date:

Info

Title:
Rapid Nondestructive Test of Soybean Protein and Fat by Near Infrared Spectroscopy Combined with Different Model Methods
Author(s):
WANG Cui-xiuCAO Jian-fei GU Zhen-fei XU Ming-xue WU Quan-yuan
(School of Geography and Environment, Shandong Normal University, Shandong 250358,China)
Keywords:
Soybean Protein Fat Near infrared spectroscopy Competitive adaptive weighted sampling method BP neural network
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2019.06.0968
Abstract:
In order to realize the rapid nondestructive testing of soybean protein and fat content, the near infrared spectrum of soybean was collected in the range of 350-2 500 nm. The classical kennard-stone algorithm was used to select modeling samples and verification samples, SG + first-order differential, SNV+ DT, OSC processing. Then, the characteristic wavelength was selected by the competitive adaptive weighted sampling method (CARS), the detection model of soybean protein, fat content established by partial least squares (PLS) and BP neural network method was compared. Finally, the detection of soybean protein and fat content was achieved. It was demonstrated that: (1) After the CARS method was preferred, the number of wavelength variables was reduced from 1 981 to less than 100, and the variable compression ratio was greater than 94.95%. (2) The CARS band selection improved the modeling accuracy, and the determination coefficient of the model based on the selected feature bands was higher than 0.9. (3) The combination of OSC+CARS+PLS and OSC+CARS+BP could achieve rapidly and non-destructive detection of soy protein and fat to a certain extent. The optimized model can accurately, rapidly and nondestructively detect the accurate estimation of soybean protein and fat content, which is of great significance for soybean quality evaluation and crop improvement.

References:

[1]Xiao C W , Wood C , Huang W , et al. Tissue-specific regulation of acetyl-CoA carboxylase gene expression by dietary soya protein isolate in rats[J]. British Journal of Nutrition, 2006, 95(6):1048.[2]Aoki H , Kimura K , Igarashi K , et al. Soy protein suppresses gene expression of acetyl-CoA carboxylase alpha from promoter PI in rat liver[J]. Bioscience, Biotechnology and Biochemistry, 2006, 70(4):843-849.[3]刘新旗,涂丛慧,张连慧,等.大豆蛋白的营养保健功能研究现状[J].食品科学技术学报,2012, 30(2):1-6.(Liu X Q, Tu C H, Zhang L H, et al. Research on nutrition and health benefits of soy protein[J]. Journal of Food Science and Technology,2012, 30(2):1-6.)[4]张亚楠.大豆营养成分研究进展[J].现代农村科技,2017(10):64-65. (Zhang Y N.Research progress on nutritional components of soybean[J].Modern Rural Science and Technology,2017(10):64-65.)[5]赵影,王文和,滕娇琴,等.两种仪器测定国产大豆粗蛋白含量的比较[J].粮食储藏,2018(4):37-39,44.(Zhao Y, Wang W H, Teng J Q, et al.Comparison on determination of content of crude protein in domestic soybean by near-infrared grain analyzer and Kjeldahl nitrogen determinator[J].Grain Storage, 2018(4):37-39,44.)[6]张松,冯美臣,杨武德,等.基于近红外光谱的冬小麦籽粒蛋白质含量检测[J].生态学杂志,2018,37(4):1276-1281. (Zhang S,Feng M C,Yang W D,et al. Detection of grain protein content in winter wheat based on near infrared spectroscopy[J]. Chinese Journal of Ecology,2018,37(4):1276-1281.)[7]洛曲,于修烛,张建新,等.基于近红外光谱的藏区酥油脂肪和蛋白质含量快速检测分析[J].中国油脂,2018,43(3):136-140.(Luo Q,Yu X Z,Zhang J X, et al. Rapid determination of fat and protein contents in ghee using near-infrared spectroscopy[J]. China Oils and Fats,2018,43(3):136-140.)[8]石岩,孙冬梅,熊婧,等.近红外光谱结合竞争性自适应重加权采样算法用于人工牛黄的质量分析研究[J].中国药学杂志,2018,53(14):1216-1221.(Shi Y,Sun D M.Xiong J, et al. Analysis of artificial cow-bezoar by near-infrared spectroscopy coupled with competitive adaptive reweighted sampling method[J].Chinese Pharmaceutical Journal,2018,53(14):1216-1221.)[9]吴建中.大豆蛋白的酶法水解及产物抗氧化活性的研究[D].广东:华南理工大学,2003.(Wu J Z.Study on the enzymatic hydrolysis of soy protein and antioxidative activity of its hydrolysate[D].Guangdong:South China University of Technology,2003.)[10]李路,黄汉英,赵思明,等.大米蛋白质、脂肪、总糖、水分近红外检测模型研究[J].中国粮油学报,2017,32(7):121-126.(Li L,Huang H Y,Zhao S M, et al. NIR spectra setection model of protein, fat, total sugar and moisture in rice[J].Journal of the Chinese Cereals and Oils Association,2017,32(7):121-126.)[11]匡静云,管骁,刘静.原料乳中蛋白质与脂肪的近红外光谱快速定量研究[J].分析科学学报,2015,31(6):783-786.(Kuang J Y,Guan X,Liu J.Rapid determination of protein and fat contents inraw milk by near infrared spectroscopy analysis[J].Journal of Analytical Science,2015,31(6):783-786.)[12]王骏超,葛俊锋.NIRS数据样本选择与预处理方法综述[J].国外电子测量技术,2019,38(3):1-7.(Wang J C,Ge J F.Overview of NIRS data sample selection and pretreatment methods[J].Foreign Electronic Measurement Technology,2019,38(3):1-7.)[13]田永超,张娟娟,姚霞,等.基于近红外光声光谱的土壤有机质含量定量建模方法[J].农业工程学报,2012,28(1):145-152.(Tian Y C,Zhang J J,Yao X.et al.Quantitative modeling method of soil organic matter content based on near-infrared photoacoustic spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(1):145-152.)[14]毕京翠,张文伟,肖应辉.等.应用近红外光谱技术分析稻米蛋白质含量[J].作物学报,2006(5):709-715.(Bing J C,Zhang W W,Xiao Y H.Analysis for protein content in rice by near infrared reflectance spectroscopy (NIRS) technique[J].Acta Agronomica Sinica,2006(5):709-715.)[15]Wu S N,Liu C L,Wu J Z.et al. Outlier sample analysis on near infrared spectroscopy determination for flour ash[C]∥Fifth Intemational Conference on Measuring Technology & Mechatronics Automation. IEEE Computor Society,2013.[16]Liang R,Bao Z, Su B. et al. Feasibility of ionic liquids as extractants for selective separation of vitamin D-3 and tachysterol(3) by Solvent extraction[J]. Journal of Agricultural and Food Chemistry, 2013, 61(14):3479-3487.[17]Li H, Liang Y, Xu Q, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration[J]. Analytica Chimica Acta, 2009, 648(1):77-84.[18]成忠.PLSR用于化学化工建模的几个关键问题的研究[D].杭州:浙江大学,2005.(Research on several key technologies of partial least squares regression in chemistry and chemical process modeling[D].Hangzhou: Zhejiang University, 2005.)[19]Bishop T F A ,Mcbratney A B . Creating field extent digital elevation models for precision agriculture[J]. Precision Agriculture, 2002, 3(1):37-46.[20]章德宾,徐家鹏,许建军,等.基于监测数据BP神经网络的食品安全预警模型[J].农业工程学报,2010,26(1):221-226. (Zhang D B,Xu J P,Xu J J, et al. Model for food safety warning based on inspection data and BP neural network[J]. Transactions of the Chinese Society of Agricultural Engineering,2010,26(1):221-226.)[21]Chang K C . A neural network approach to geographical analysis of population pattern change [J]. Ann Arbor Michigan University Microfilms International, 1994, 18(95):657-662.[22]Burns D A,Ciurczak E W. Handbook of near-infrared analysis[M].Newyork: Crc Press, 2001.[23]杰尔·沃克曼,洛伊斯·文依.近红外光谱解析实用指南[M]. 褚小应,许有鹏,田高友,译. 北京:化学工业出版社,2009.(Workman J, Weyer J. Practial guide to interpretive near-infrared spectroscopy[M]. Zhu X L, Xu Y P, Tian G Y, transtate. Beijing:Chemical Industry Press,2009.)[24]李栓明,郭银巧,王克如,等.小麦籽粒蛋白质光谱特征变量筛选方法研究[J].中国农业科学,2015,48(12):2317-2326. (Li S M,Guo Y Q, Wang K R, et al.Researchon variable selection of wheat kernel protein content with near-infrared spectroscopy[J].Scientia Agricultura Sinica,2015,48(12):2317-2326.)[25]江艳,武培怡.大豆蛋白的中红外和近红外光谱研究[J].化学进展,2009, 21(4):705-714.(Jiang Y,Wu P Y. Study of soy protein by mid-infrared spectroscopy and near-infrared spectroscopy[J].Progress in Chemistry, 2009, 21(4):705-714.)[26]朱贞映,袁建,鞠兴荣,等.傅立叶变换近红外光谱在大豆蛋白质和粗脂肪检测中的研究[J].食品安全质量检测学报,2015(12):4924-4931.(Zhu Y Z,YuanJ, Ju X R, et al.Detection of soybean protein and crude fat by Fourier transform-near infrared spectroscopy[J].Journal of Food Stafety and Qualiy, 2015(12):4924-4931.)[27]刘波,张丽娟,苗保河,等.近红外光谱法与国标法测定大豆蛋白质和脂肪的比较[J].山东农业科学,2007(1):109-111. (Liu B,Zhang L J,Miao B H,et al.Near infrared spectroscopy compared with national standard method was developed for the determination of soybean protein and fat[J].Shandong Agricultural Sciences,2007(1):109-111.)[28]李琳琳,金华丽,崔彬彬,等.基于近红外透射光谱的大豆蛋白质和粗脂肪含量快速检测[J].粮食与油脂,2014,27(12):57-60.(Li L L,Jin H L,Cui B B,et al.Rapid determination of soybean protein and crude fat content by near-infrared transmittance spectroscopy[J].Cereals and Oils,2014,27(12):57-60.)[29]王丽萍,陈文杰,赵兴忠,等.基于近红外漫反射光谱法的大豆粗蛋白和粗脂肪含量的快速检测[J].大豆科学,2019,38(2):280-285.(Wang L P,Chen W J,Zhao X Z,et al. Rapid determination of crude protein and crude oil content of soybean based on near infrared diffuse reflectance spectroscopy[J]. Soybean Science,2019,38(2):280-285.)

Memo

Memo:
-
Last Update: 1900-01-01