基于非线性化学指纹图谱法的牛羊乳混掺检测
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摘要
为建立基于非线性化学指纹图谱技术的羊乳掺杂牛乳快速检测方法,通过对32份羊乳和33份牛乳非线性化学指纹图谱各个参数进行单因素方差分析,从中筛选出牛羊乳之间具有显著差异的参数,通过Pearson相关性分析研究参数与主要羊乳成分含量的相关性并确定测定混合二元乳中牛羊乳含量的数学模型.结果表明,两类图谱的诱导时间(tind)和最高电位时间(tpet)具有极其显著的差异,这两个参数均与羊乳主要成分蛋白质、脂肪和非脂乳固形物的含量具有相关性,且最高电位时间与羊乳各主要成分含量的相关性最高,并通过回归分析法建立经验公式,tpet=-2.379ln[Mc]/[Mg]+12.258(R2为0.967 2).经检验,该公式可用于快速检测牛羊二元乳中两种乳的含量.
The nonlinear chemical fingerprint method for detection and quantification of goat milk adulteration with cow milk was investigated.Thirty-two goat milk samples and thirtythree cow milks samples were collected and their fingerprint were measured.The variance of fingerprint between goat milk and cow milk was hold by one factor ANOVA.Furthermore,the Pearson coefficience between the significance index and ingredients of goat milk was calculated.Result shows that the difference of inductive time(t_(ind))and the peak top time(t_(pet))in fingerprint between goat milk and cow milk were extremely significant.The Pearson correlation analysis shows that both tpetand tindhave relationship with ingredients of goat milk,and the relationship of tindwith all ingredients in goat milk were stronger than t_(pet).The model was get to prediction of concentration of cow milk and goat milk by t_(pet) with very high precision and accuracy.
The nonlinear chemical fingerprint method for detection and quantification of goat milk adulteration with cow milk was investigated.Thirty-two goat milk samples and thirtythree cow milks samples were collected and their fingerprint were measured.The variance of fingerprint between goat milk and cow milk was hold by one factor ANOVA.Furthermore,the Pearson coefficience between the significance index and ingredients of goat milk was calculated.Result shows that the difference of inductive time(t_(ind))and the peak top time(t_(pet))in fingerprint between goat milk and cow milk were extremely significant.The Pearson correlation analysis shows that both tpetand tindhave relationship with ingredients of goat milk,and the relationship of tindwith all ingredients in goat milk were stronger than t_(pet).The model was get to prediction of concentration of cow milk and goat milk by t_(pet) with very high precision and accuracy.
引文
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[17]张娟,钟俊辉,王志沛,等.用非线性电化学指纹图谱技术鉴别啤酒品种[J].酿酒科技,2014(8):99-104.
[18]马永杰,董文宾,樊成,等.乳粉中钙含量的非线性化学指纹图谱法测定[J].农业机械学报,2016,47(1):202-208.
[19]Fang X Q,Zhang T M,Zhao Z,et al.Application of nonlinear chemical fingerprinting to identification,evaluation and clinical use of Glycyrrhiza[J].Chinese Science Bulletin,2010,55(26):2 937-2 944.
[20]李继睿,丁峰,禹练英.电化学指纹图谱用于中药的质量控制[J].现代仪器,2011,17(2):77-79.
[21]白云慧,张泰铭,张凤清.利用非线性化学指纹图谱鉴别人参真伪和产地[J].食品工业科技,2015,36(13):302-308.
[22]王二丹,鲁利利,张泰铭,等.采用非线性化学指纹图谱技术测定羊奶中掺杂牛奶的含量[J].食品与发酵工业,2015,41(3):199-203.
[23]马永杰,董文宾,樊成,等.基于非线性化学指纹图谱技术测定婴幼儿羊奶粉中掺假牛奶粉含量[J].分析科学学报,2016,32(1):43-47.
[2]宋宏新,刘建兰,徐秦峰.羊乳及其制品中掺入牛乳成分的双重PCR检测[J].陕西科技大学学报,2018,36(1):34-38,44.
[3]张晓旭,葛武鹏,李宝宝,等.牛羊乳混掺检测鉴别技术研究进展[J].食品安全质量检测学报,2015,6(9):3 594-3 601.
[4]Poonia A,Jha A,Sharma R,et al.Detection of adulteration in milk:A review[J].International Journal of Dairy Technology,2017,70(1):23-42.
[5]Pesic M,Barac M,Vrvic M,et al.Qualitative and quantitative analysis of bovine milk adulteration in caprine and ovine milks using native-PAGE[J].Food Chemistry,2011,125(4):1 443-1 449.
[6]Rebechi S R,Velez M A,Vaira S.Adulteration of argentinean milk fats with animal fats:Detection by fatty acids analysis and multivariate regression techniques[J].Food Chemistry,2016,192:1 025-1 032.
[7]赵新淮,于国萍,张永忠,等.乳品化学[M].北京:科学出版社,2007.
[8]辛厚文,候中怀.非线性化学[M].2版.合肥:中国科技大学出版社,2009.
[9]冯长根,曾庆轩.化学振荡混沌与化学波[M].北京:北京理工大学出版社,2003.
[10]Zhang T M,Zhao Z,Fang X Q,et al.Determining method,conditional factors,traits and applications of nonlinear chemistry fingerprint by using dissipative components in samples[J].Sci,China Chem,2012,55(2):285-303.
[11]Ren J,Zhang X Y,Gao J Z.et al.The application of oscillating chemical reactions to analytical determinations[J].Central European Journal of Chemistry,2013,11(7):1 023-1 031.
[12]Raoof J B,Abolfazl K,Reza O,et al.Determination of lcysteine based on its potentiometric effect on a BelousovZhabotinskii oscillating chemical reaction[J].International Journal of Electrochemical Science,2011,6(6):1 760-1 771.
[13]Ma Y J,Dong W B,Bao H L,et al.Simultaneous determination of urea and melamine in milk powder by nonlinear chemical fingerprint technique[J].Food Chemistry.2017,221:898-906.
[14]汤宏敏,罗永明,鄢燕,等.一种基于DAD二极管阵列检测器技术的中药指纹图谱方法[J].高等学校化学学报,2009,30(2):279-282.
[15]毕云枫,刘舒,李雪等.乌头类生物碱组分在CYP450中的代谢指纹图谱及对CYP450活性的影响[J].高等学校化学学报,2013,34(9):2 084-2 089.
[16]王世鹏,董文宾,樊成,等.非线性化学指纹图谱技术在食品掺假检测中的应用[J].食品研究与开发,2016,37(1):204-207.
[17]张娟,钟俊辉,王志沛,等.用非线性电化学指纹图谱技术鉴别啤酒品种[J].酿酒科技,2014(8):99-104.
[18]马永杰,董文宾,樊成,等.乳粉中钙含量的非线性化学指纹图谱法测定[J].农业机械学报,2016,47(1):202-208.
[19]Fang X Q,Zhang T M,Zhao Z,et al.Application of nonlinear chemical fingerprinting to identification,evaluation and clinical use of Glycyrrhiza[J].Chinese Science Bulletin,2010,55(26):2 937-2 944.
[20]李继睿,丁峰,禹练英.电化学指纹图谱用于中药的质量控制[J].现代仪器,2011,17(2):77-79.
[21]白云慧,张泰铭,张凤清.利用非线性化学指纹图谱鉴别人参真伪和产地[J].食品工业科技,2015,36(13):302-308.
[22]王二丹,鲁利利,张泰铭,等.采用非线性化学指纹图谱技术测定羊奶中掺杂牛奶的含量[J].食品与发酵工业,2015,41(3):199-203.
[23]马永杰,董文宾,樊成,等.基于非线性化学指纹图谱技术测定婴幼儿羊奶粉中掺假牛奶粉含量[J].分析科学学报,2016,32(1):43-47.