基于主要营养成分含量的大小颗粒薏仁米判别
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摘要
以不同产地大颗粒薏仁米(BCS)和小颗粒薏仁米(SCS)粗脂肪、蛋白质、氨基酸和矿物元素含量为基础,通过方差分析研究BCS和SCS主要营养成分是否有差别,并利用主成分分析(PCA)和支持向量机(SVM)来判别BCS和SCS。结果表明,除粗脂肪、Mg、Al外,其他所研究的营养成分均为SCS高于或与BCS无统计学上显著差异;PCA所提取的特征变量基本能区分BCS和SCS,SVM所建模型的预测准确率达100%,说明薏仁米主要营养成分结合化学计量学方法来判别BCS和SCS是可行的。
Based on the crude fat,protein,amino acids and mineral element content of different areas big particle Coix seed(BCS)and small particle Coix seed(SCS),this paper analyzed whether there was a difference on the major nutrient content between BCS and SCS by using analysis of variance,and discriminated the BCS and SCS by using principal component analysis(PCA)and support vector machine(SVM).The results indicated that the nutrient contents measured in this text of SCS were higher than or not significant difference from those of BCS except the crude fat,Mg,and Al content.The characteristic variables extracted by PCA could be used to discriminate BCS from SCS,and the prediction accuracy of the SVM model was 100%.These display that it is feasible to determine the type of Coixseed by using the major nutrient contents of Coix seed combined with chemometrics.
Based on the crude fat,protein,amino acids and mineral element content of different areas big particle Coix seed(BCS)and small particle Coix seed(SCS),this paper analyzed whether there was a difference on the major nutrient content between BCS and SCS by using analysis of variance,and discriminated the BCS and SCS by using principal component analysis(PCA)and support vector machine(SVM).The results indicated that the nutrient contents measured in this text of SCS were higher than or not significant difference from those of BCS except the crude fat,Mg,and Al content.The characteristic variables extracted by PCA could be used to discriminate BCS from SCS,and the prediction accuracy of the SVM model was 100%.These display that it is feasible to determine the type of Coixseed by using the major nutrient contents of Coix seed combined with chemometrics.
引文
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[10]李祥栋,潘虹,陆秀娟,等.薏苡种质的主要营养组分特征及综合评价[J].中国农业科学,2018(5):835-842.
[11]刘星,毛丹卓,王正武,等.薏仁种类的近红外光谱技术快速鉴别[J].光谱学与光谱分析,2014,34(5):1 259-1 263.
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[15]ADANKON M M,CHERIET M.Support Vector Machine[J].Computer Science,2002,1(4):1-28.
[16]YUAN Zhe-ming,TAN Xian-sheng.Nonlinear Screening Indexes of Drought Resistance at Rice Seedling Stage Based on Support Vector Machine[J].Acta Agronomica Sinica,2010,36(7):1 176-1 182.
[17]LIU Xing,ZHANG Xin,RONG Yu-zhi,et al.Rapid Determination of Fat,Protein and Amino Acid Content in Coix,Seed Using Near-Infrared Spectroscopy Technique[J].Food Analytical Methods,2015,8(2):334-342.
[18]GALVàORK,ARAUJO M C,JOSéG E,et al.A method for calibration and validation subset partitioning[J].Talanta,2005,67(4):736-740.
[19]梁逸曾,许青松.复杂体系仪器分析:白、灰、黑分析体系及其多变量解析方法[M].北京:化学工业出版社,2012:217-220.
[2]LIN L J,HSIAO E S L,TSENG H S.Molecular Cloning,Mass Spectrometric Identification,and Nutritional Evalua-tion of 10Coixins in Adlay(Coix lachryma-jobi L.)[J].Journal of Agricultural&Food Chemistry,2009,57(22):10 916-10 921.
[3]LU Yun,ZHANG Bing-yuan,JIA Zhuo-xia,et al.Hepatocellular carcinoma HepG2cell apoptosis and caspase-8and Bcl-2expression induced by injectable seed extract of Coix lacryma-jobi[J].Hepatobiliary&Pancreatic Diseases International,2011,10(3):303-307.
[4]HUANG B W,CHIANG M T,YAO H T,et al.The effect of adlay oil on plasma lipids,insulin and leptin in rat[J].Phytomedicine International Journal of Phytotherapy&Phytopharmacology,2005,12(6):433-439.
[5]苗明三.薏苡仁多糖对环磷酰胺致免疫抑制小鼠免疫功能的影响[J].中医药学报,2002,30(5):49-50.
[6]LIU Xing,WU Jin-hong,XU Jun-hua,et al.The impact of heat-moisture treatment on the molecular structure and physicochemical properties of Coixseed starches[J].StarchStrke,2016,68(7/8):662-674.
[7]BAI Chun-qing,PENG Hai-long,XIONG Hua,et al.Carboxymethylchitosan-coated proliposomes containing coix seed oil:Characterisation,stability and in vitro release evaluation[J].Food Chemistry,2011,129(4):1 695-1 702.
[8]OTSUKA H,TAKEUCHI M,INOSHIRI S,et al.Phenolic compounds from Coix lachryma-jobi var.Ma-yuen[J].Phytochemistry,2012,28(3):883-886.
[9]常冬妹,卢红梅,陈莉,等.兴仁薏仁米营养成分分析与评价[J].食品工业,2017(6):303-307.
[10]李祥栋,潘虹,陆秀娟,等.薏苡种质的主要营养组分特征及综合评价[J].中国农业科学,2018(5):835-842.
[11]刘星,毛丹卓,王正武,等.薏仁种类的近红外光谱技术快速鉴别[J].光谱学与光谱分析,2014,34(5):1 259-1 263.
[12]谢中华.MATLAB统计分析与应用:40个案例分析[M].北京:北京航空航天大学出版社,2010:354-373.
[13]POMERANTSEV A L.Chemometrics in Excel[M].New Jersey:John Wiley&Sons,Inc.,2014:133-156.
[14]史峰,王小川,郁磊,等.MATLAB神经网络:30个案例分析[M].北京:北京航空航天大学出版社,2010:112-132.
[15]ADANKON M M,CHERIET M.Support Vector Machine[J].Computer Science,2002,1(4):1-28.
[16]YUAN Zhe-ming,TAN Xian-sheng.Nonlinear Screening Indexes of Drought Resistance at Rice Seedling Stage Based on Support Vector Machine[J].Acta Agronomica Sinica,2010,36(7):1 176-1 182.
[17]LIU Xing,ZHANG Xin,RONG Yu-zhi,et al.Rapid Determination of Fat,Protein and Amino Acid Content in Coix,Seed Using Near-Infrared Spectroscopy Technique[J].Food Analytical Methods,2015,8(2):334-342.
[18]GALVàORK,ARAUJO M C,JOSéG E,et al.A method for calibration and validation subset partitioning[J].Talanta,2005,67(4):736-740.
[19]梁逸曾,许青松.复杂体系仪器分析:白、灰、黑分析体系及其多变量解析方法[M].北京:化学工业出版社,2012:217-220.