低聚糖和多酚结合偏最小二乘判别分析鉴别油菜蜜产地
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摘要
采用气相色谱-串联质谱技术测定油菜蜜中6种低聚糖成分,高效液相色谱-串联质谱技术测定油菜蜜中18种酚酸物质,并结合偏最小二乘判别分析(partial least square-discrimination analysis,PLS-DA)对来自湖北钟祥市、江苏盐城市、青海刚察县3个具有显著地理、气候、环境差异的51个油菜蜜样本进行产地鉴别。方差分析结果显示:3个产地油菜蜜中松二糖含量具有显著性差异,且青海刚察油菜蜜低聚糖含量相对偏高;油菜蜜的18种多酚类物质中大多数具有显著的地理差异性且湖北钟祥的油菜蜜中多酚含量相对偏高。多元统计分析结果显示多酚具有显著的地理特征性。油菜蜜中低聚糖和多酚的含量结合PLS-DA产地鉴别的预测精度可达到97%。
In this study, 6 kinds of oligosaccharides in rape honey were determined by gas chromatography-mass spectrometry and 18 kinds of phenols by high-performance liquid chromatography-mass spectrometry(HPLC-MS).A new method was used to discriminate rape honey samples from different geographical origins through analysis of oligosaccharides and polyphenols combined with partial least squares discriminant analysis(PLS-DA). For this study, we collected 51 samples from Zhongxiang city of Hubei province, Yancheng city of Jiangsu province and Gangcha county of Qinghai province, among which there are significant geographical, climatic and environmental differences. The results of analysis of variance(ANOVA) showed that there were significant differences in the turanose content of rape honey samples from the three regions, and the oligosaccharide content of rape honey form Gangcha was relatively higher. There were significant geographical differences in the contents of most polyphenols and the polyphenols content of rape honey from Zhongxiang was relatively higher. Multivariate statistical analysis showed that polyphenols were a significant indicator for the geographical origin of honey, and the geographical origins of rape honey could be predicted with an accuracy of 97% by the contents of oligosaccharides and polyphenols combined with PLS-DA.
In this study, 6 kinds of oligosaccharides in rape honey were determined by gas chromatography-mass spectrometry and 18 kinds of phenols by high-performance liquid chromatography-mass spectrometry(HPLC-MS).A new method was used to discriminate rape honey samples from different geographical origins through analysis of oligosaccharides and polyphenols combined with partial least squares discriminant analysis(PLS-DA). For this study, we collected 51 samples from Zhongxiang city of Hubei province, Yancheng city of Jiangsu province and Gangcha county of Qinghai province, among which there are significant geographical, climatic and environmental differences. The results of analysis of variance(ANOVA) showed that there were significant differences in the turanose content of rape honey samples from the three regions, and the oligosaccharide content of rape honey form Gangcha was relatively higher. There were significant geographical differences in the contents of most polyphenols and the polyphenols content of rape honey from Zhongxiang was relatively higher. Multivariate statistical analysis showed that polyphenols were a significant indicator for the geographical origin of honey, and the geographical origins of rape honey could be predicted with an accuracy of 97% by the contents of oligosaccharides and polyphenols combined with PLS-DA.
引文
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[2]徐慧,汪权方,王新生,等.中国同期作物空间格局变化分析:以小麦和油菜为例[J].中国农学通报,2016,32(21):95-99.
[3]农业部.农产品地理标志管理办法[S].北京:农业部,2007.
[4]陈晓华.持续发展“三品一标”,努力确保农产品质量安全[J].农产品质量与安全,2010(4):5-8.
[5]DURANTE C,BASCHIERI C,BERTACCHINI L,et al.An analytical approach to Sr isotope ratio determination in Lambrusco wines for geographical traceability purposes[J].Food Chemistry,2015,173:557-563.
[6]BERTOLDI D,BARBERO A,CAMIN F,et al.Multielemental fingerprinting and geographic traceability of Theobroma cacao,beans and cocoa products[J].Food Control,2016,65:46-53.
[7]QIANG X,CHAO Y L,WAN Q B.Health benefit application of functional oligosaccharides[J].Carbohydrate Polymers,2009,77(3):435-441.
[8]VARKI A.Biological roles of oligosaccharides:all of the theories are correct[J].Glycobiology,1993,3(2):97-130.
[9]MATAMORO S,FERNáNDEZ L E,OBEL N,et al.Differentiation of isomeric oligosaccharide structures by ESI tandem MS and GC-MS[J].Carbohydrate Research,2004,339(3):655-664.
[10]DA COSTA LEITE J M,TRUGO L C,COSTA L S M,et al.Determination of oligosaccharides in Brazilian honeys of different botanical origin[J].Food Chemistry,2000,70(1):93-98.
[11]BADIA M R,MISHRA P,RUIZ G L.Food traceability:new trends and recent advances.A review[J].Food Control,2015,57:393-401.
[12]GUADALUPE Z,MARTíNEZ-PINILLA O,áLVARO G,et al.Quantitative determination of wine polysaccharides by gas chromatography-mass spectrometry(GC-MS)and size exclusion chromatography(SEC)[J].Food Chemistry,2012,131(1):367-374.
[13]BALL D W.Chemical compostition of honey[J].Chemistry for Everyone,2007,84(10):1647-1650.
[14]MEO S A,ALASIRI S A,MAHESAR A L,et al.Role of honey in modern medicine[J].Saudi Journal of Biological Sciences,2016,24(5):975-978.
[15]NORDIN A,SAINIK N Q A V,ZULFARINA M S,et al.Honey and epithelial to mesenchymal transition in wound healing:an evidencebased review[J].Wound Medicine,2017,18:8-20.
[16]HOSSEN M S,ALI M Y,JAHURUL M H A,et al.Beneficial roles of honey polyphenols against some human degenerative diseases:a review[J].Pharmacological Reports,2017,69(6):1194-1205.
[17]CAN Z,YILDIZ O,SAHIN H,et al.An investigation of Turkish honeys:their physico-chemical properties,antioxidant capacities and phenolic profiles[J].Food Chemistry,2015,180:133-141.
[18]KU?P M,CONGIU F,TEPER D,et al.Antioxidant activity,color characteristics,total phenol content and general HPLC fingerprints of six Polish unifloral honey types[J].LWT-Food Science and Technology,2014,55(1):124-130.
[19]BALTRUSAITYTE V,VENSKUTONIS P R,CEKSTERYTE V.Radical scavenging activity of different floral origin honey and beebread phenolic extracts[J].Food Chemistry,2007,101(2):502-514.
[20]GUADALUPE Z,MARTíNEZ P O,áLVARO G,et al.Quantitative determination of wine polysaccharides by gas chromatography-mass spectrometry(GC-MS)and size exclusion chromatography(SEC)[J].Food Chemistry,2012,131(1):367-374.
[21]MUSSATTO S I,MANCILHA I M.Non-digestible oligosaccharides:a review[J].Carbohydrate Polymers,2007,68(3):587-597.
[22]OROIAN M,ROPCIUC S.Honey authentication based on physicochemical parameters and phenolic compounds[M].Elsevier Science Publishers B.V,2017:148-156.
[23]WEN Y Q,ZHANG J,LI Y,et al.Characterization of Chinese unifloral honeys based on proline and phenolic content as markers of botanical origin,using multivariate analysis[J].Molecules,2017,22(5):735-748.
[24]CORNER G W.Modeling the other-race advantage with PCA[C]//Cognitive Science Conference La Stresa.2017:408-418.
[25]GRASEL F D S,FERR?O M F.Rapid discrimination of natural polyphenols(vegetable tannins)from different plants by molecular spectroscopy and PLS-DA[J].Analytical Methods,2018,10:968-974.
[26]ROWEIS S.EM algorithms for PCA and SPCA[J].Advances in Neural Information Processing Systems,1997,10:626-632.
[27]WESTERHUIS J A,KOURTI T,MACGREGOR J F.Analysis of multiblock and hierarchical PCA and PLS models[J].Journal of Chemometrics,2015,12(5):301-321.
[28]BORR?S E,FERR?J,BOQU?R,et al.Olive oil sensory defects classification with data fusion of instrumental techniques and multivariate analysis(PLS-DA)[J].Food Chemistry,2016,203:314-322.
[29]ROBOTTI E,MARENGO E.Chemometric multivariate tools for candidate biomarker identification:LDA,PLS-DA,SIMCA,RankingPCA[M].2-D PAGE map analysis.New York:Springer,2016:237-267.