WANG Cui-xiu,CAO Jian-fei,GU Zhen-fei,et al.Rapid Nondestructive Test of Soybean Protein and Fat by Near Infrared Spectroscopy Combined with Different Model Methods[J].Soybean Science,2019,38(06):968-976.[doi:10.11861/j.issn.1000-9841.2019.06.0968]
基于近红外光谱大豆蛋白质、脂肪快速无损检测模型的优化构建
- Title:
- Rapid Nondestructive Test of Soybean Protein and Fat by Near Infrared Spectroscopy Combined with Different Model Methods
- Keywords:
- Soybean; Protein; Fat; Near infrared spectroscopy; Competitive adaptive weighted sampling method; BP neural network
- 摘要:
- 为实现大豆蛋白质、脂肪含量的快速无损检测, 采集350～2 500 nm光谱范围内的大豆近红外光谱。运用经典Kennard-Stone算法选取建模样本及验证样本，对近红外原始光谱进行卷积平滑(savitzky and golay, SG)+一阶微分、变量标准化(standard normal variate, SNV)+去趋势算法(de-trending,DT)、正交信号校正（orthogonal signal correction,OSC）处理；然后通过竞争性自适应重加权采样方法（competitive adaptive reweighted sampling,CARS）筛选出特征波长，比较偏最小二乘法（partial least squares,PLS）、BP神经网络法所建模型，最终获得对于大豆蛋白质、脂肪含量的快速、无损检测的最佳模型。结果表明:（1）经CARS特征波段挑选后，波长的变量个数由1 981个减少为100个以下，变量压缩率大于94.95％；（2）CARS波段选择能够提高建模精度，基于挑选的特征波段所建立模型的决定系数均＞0.9；（3）OSC+CARS+PLS与OSC+CARS+BP该类数据处理组合方式在一定程度上能够实现大豆蛋白质、脂肪的快速、无损检测。优化构建的该模型能够精准快速无损的检测大豆蛋白质、脂肪含量，对大豆品质评估以及作物改良具有重要意义。
- 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.
参考文献/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.)
相似文献/References:
[1]刘章雄,李卫东,孙石,等.1983～2010年北京大豆育成品种的亲本地理来源及其遗传贡献[J].大豆科学,2013,32(01):1.[doi:10.3969/j.issn.1000-9841.2013.01.002]
LIU Zhang-xiong,LI Wei-dong,SUN Shi,et al.Geographical Sources of Germplasm and Their Nuclear Contribution to Soybean Cultivars Released during 1983 to 2010 in Beijing[J].Soybean Science,2013,32(06):1.[doi:10.3969/j.issn.1000-9841.2013.01.002]
[2]李彩云,余永亮,杨红旗,等.大豆脂质转运蛋白基因GmLTP3的特征分析[J].大豆科学,2013,32(01):8.[doi:10.3969/j.issn.1000-9841.2013.01.003]
LI Cai-yun,YU Yong-liang,YANG Hong-qi,et al.Characteristics of a Lipid-transfer Protein Gene GmLTP3 in Glycine max[J].Soybean Science,2013,32(06):8.[doi:10.3969/j.issn.1000-9841.2013.01.003]
[3]王明霞,崔晓霞,薛晨晨,等.大豆耐盐基因GmHAL3a的克隆及RNAi载体的构建[J].大豆科学,2013,32(01):12.[doi:10.3969/j.issn.1000-9841.2013.01.004]
WANG Ming-xia,CUI Xiao-xia,XUE Chen-chen,et al.Cloning of Halotolerance 3 Gene and Construction of Its RNAi Vector in Soybean (Glycine max)[J].Soybean Science,2013,32(06):12.[doi:10.3969/j.issn.1000-9841.2013.01.004]
[4]张春宝,李玉秋,彭宝,等.线粒体ISSR与SCAR标记鉴定大豆细胞质雄性不育系与保持系[J].大豆科学,2013,32(01):19.[doi:10.3969/j.issn.1000-9841.2013.01.005]
ZHANG Chun-bao,LI Yu-qiu,PENG Bao,et al.Identification of Soybean Cytoplasmic Male Sterile Line and Maintainer Line with Mitochondrial ISSR and SCAR Markers[J].Soybean Science,2013,32(06):19.[doi:10.3969/j.issn.1000-9841.2013.01.005]
[5]卢清瑶,赵琳,李冬梅,等.RAV基因对拟南芥和大豆不定芽再生的影响[J].大豆科学,2013,32(01):23.[doi:10.3969/j.issn.1000-9841.2013.01.006]
LU Qing-yao,ZHAO Lin,LI Dong-mei,et al.Effects of RAV gene on Shoot Regeneration of Arabidopsis and Soybean[J].Soybean Science,2013,32(06):23.[doi:10.3969/j.issn.1000-9841.2013.01.006]
[6]杜景红,刘丽君.大豆fad3c基因沉默载体的构建[J].大豆科学,2013,32(01):28.[doi:10.3969/j.issn.1000-9841.2013.01.007]
DU Jing-hong,LIU Li-jun.Construction of fad3c Gene Silencing Vector in Soybean[J].Soybean Science,2013,32(06):28.[doi:10.3969/j.issn.1000-9841.2013.01.007]
[7]张力伟,樊颖伦,牛腾飞,等.大豆“冀黄13”突变体筛选及突变体库的建立[J].大豆科学,2013,32(01):33.[doi:10.3969/j.issn.1000-9841.2013.01.008]
ZHANG Li-wei,FAN Ying-lun,NIU Teng-fei?,et al.Screening of Mutants and Construction of Mutant Population for Soybean Cultivar "Jihuang13”[J].Soybean Science,2013,32(06):33.[doi:10.3969/j.issn.1000-9841.2013.01.008]
[8]盖江南,张彬彬,吴瑶,等.大豆不定胚悬浮培养基因型筛选及基因枪遗传转化的研究[J].大豆科学,2013,32(01):38.[doi:10.3969/j.issn.1000-9841.2013.01.009]
GAI Jiang-nan,ZHANG Bin-bin,WU Yao,et al.Screening of Soybean Genotypes Suitable for Suspension Culture with Adventitious Embryos and Genetic Transformation by Particle Bombardment[J].Soybean Science,2013,32(06):38.[doi:10.3969/j.issn.1000-9841.2013.01.009]
[9]王鹏飞,刘丽君,唐晓飞,等.适于体细胞胚发生的大豆基因型筛选[J].大豆科学,2013,32(01):43.[doi:10.3969/j.issn.1000-9841.2013.01.010]
WANG Peng-fei,LIU Li-jun,TANG Xiao-fei,et al.Screening of Soybean Genotypes Suitable for Somatic Embryogenesis[J].Soybean Science,2013,32(06):43.[doi:10.3969/j.issn.1000-9841.2013.01.010]
[10]刘德兴,年海,杨存义,等.耐酸铝大豆品种资源的筛选与鉴定[J].大豆科学,2013,32(01):46.[doi:10.3969/j.issn.1000-9841.2013.01.011]
LIU De-xing,NIAN Hai,YANG Cun-yi,et al.Screening and Identifying Soybean Germplasm Tolerant to Acid Aluminum[J].Soybean Science,2013,32(06):46.[doi:10.3969/j.issn.1000-9841.2013.01.011]
[11]任红玉,周丽华,朱晓鑫,等.在UV-B辐射增强条件下稀土镧对大豆品质的影响[J].大豆科学,2013,32(03):345.[doi:10.11861/j.issn.1000-9841.2013.03.0345]
REN Hong-yu,ZHOU Li-hua,ZHU Xiao-xin,et al.Effect of La on the Soybean Quality under Elevated Ultraviolet-B Radiaion[J].Soybean Science,2013,32(06):345.[doi:10.11861/j.issn.1000-9841.2013.03.0345]
[12]曹永强,宋书宏,董丽杰.大豆蛋白质和油分含量遗传研究进展[J].大豆科学,2012,31(02):316.[doi:10.3969/j.issn.1000-9841.2012.02.033]
CAO Yong-qiang,SONG Shu-hong,DONG Li-jie.Research Progress on Heredity of Protein and Oil Content in Soybean[J].Soybean Science,2012,31(06):316.[doi:10.3969/j.issn.1000-9841.2012.02.033]
[13]葛振宇,刘晓冰,刘宝辉,等.大豆种子蛋白质和油份性状的QTL定位[J].大豆科学,2011,30(06):901.[doi:10.11861/j.issn.1000-9841.2011.06.0901]
GE Zhen-yu,LIU Xiao-bing,LIU Bao-hui,et al.QTL Mapping of Protein and Oil Content in Soybean[J].Soybean Science,2011,30(06):901.[doi:10.11861/j.issn.1000-9841.2011.06.0901]
[14]邱强,刘宪虎,张伟,等.吉林省不同大豆品种脂肪和蛋白质含量生态分析[J].大豆科学,2012,31(05):749.[doi:10.3969/j.issn.1000-9841.2012.05.012]
QIU Qiang,LIU Xian-hu,ZHANG Wei,et al.Ecological Analysis on Oil and Protein Content of Soybeans in Jilin Province[J].Soybean Science,2012,31(06):749.[doi:10.3969/j.issn.1000-9841.2012.05.012]
[15]刘 硕,罗 玲,刘章雄,等.大豆蛋白质含量QTL的“整合”及Overview分析[J].大豆科学,2011,30(01):1.[doi:10.11861/j.issn.1000-9841.2011.01.0001]
LIU Shuo,LUO Ling,LIU Zhang-xiong,et al.Integration of QTLs Related to Soybean Protein Content and “Qualification” of Them by Overview Method[J].Soybean Science,2011,30(06):1.[doi:10.11861/j.issn.1000-9841.2011.01.0001]
[16]林长库,姚鑫淼,陈凤山,等.黑龙江省大豆区域试验品种品质现状分析[J].大豆科学,2009,28(06):1031.[doi:10.11861/j.issn.1000-9841.2009.06.1031]
LIN Chang-ku,YAO Xin-miao,CHEN Feng-shan,et al.Grain Quality of Recent Soybean Varieties（Lines）in Heilongjiang Province[J].Soybean Science,2009,28(06):1031.[doi:10.11861/j.issn.1000-9841.2009.06.1031]
[17]任红玉,高振宇,潘小燕,等.稀土镧和铈对大豆品质的影响[J].大豆科学,2014,33(04):603.[doi:10.11861/j.issn.1000-9841.2014.04.0603]
REN Hong-yu,GAO Zhen-yu,PAN Xiao-yan,et al.Effect of Lanthanum and Cerium on Soybean Quality[J].Soybean Science,2014,33(06):603.[doi:10.11861/j.issn.1000-9841.2014.04.0603]
[18]李文滨,郑宇宏,韩英鹏.大豆种质资源脂肪酸组分含量及品质性状的相关性分析[J].大豆科学,2008,27(05):740.[doi:10.11861/j.issn.1000-9841.2008.05.0740]
LI Wen-bin,ZHENG Yu-hong,HAN Ying-peng.Analysis of Fatty Acid Composition and Other Quality Traits in Soybean Varieties Developed in Heilongjiang Province[J].Soybean Science,2008,27(06):740.[doi:10.11861/j.issn.1000-9841.2008.05.0740]
[19]闫龙,蒋春志,于向鸿,等.大豆粗蛋白、粗脂肪含量近红外检测模型建立及可靠性分析[J].大豆科学,2008,27(05):833.[doi:10.11861/j.issn.1000-9841.2008.05.0833]
YAN Long,JIANG Chun-zhi,YU Xiang-hong,et al.Development and Reliability of Near Infrared Spectroscopy(NIS) Models of Protein and Oil Content in Soybean[J].Soybean Science,2008,27(06):833.[doi:10.11861/j.issn.1000-9841.2008.05.0833]
[20]闫春娟,韩晓增,王树起,等.钾对大豆干物质积累、产量及品质的影响[J].大豆科学,2008,27(01):113.[doi:10.11861/j.issn.1000-9841.2008.01.0113]
YAN Chun-juan,HAN Xiao-zeng,WANG Shu-qi,et al.Effect of Potassium Fertilizer on Dry Matter Accumulation，Yield and Quality of Soybean[J].Soybean Science,2008,27(06):113.[doi:10.11861/j.issn.1000-9841.2008.01.0113]
备注/Memo
基金项目：国家自然科学基金(41371395, 41601549)。第一作者简介：王翠秀(1995-), 女, 硕士,主要从事农业遥感研究。E-mail:1632691999@qq.com。通讯作者：吴泉源(1959-), 男, 博士，教授，主要从事农业遥感研究。E-mail:wqy6420582@163.com。