食品与发酵工业 >

2021 , Vol. 47 >Issue 22: 273 - 278

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.027151

分析与检测

气相离子迁移谱技术鉴别重庆三峡库区特色中蜂蜜研究

  • 刘振平 ,
  • 聂青玉 ,
  • 庞钶靖 ,
  • 张艳 ,
  • 姜容
展开
  • 1(重庆安全技术职业学院,重庆,404020)
    2(重庆三峡职业学院,重庆,404155)
博士,副教授(刘振平副教授与聂青玉教授为共同通讯作者,E-mail:nping305@126.com;nqy318@163.com)

收稿日期: 2021-03-01

  修回日期: 2021-03-22

  网络出版日期: 2021-12-16

基金资助

重庆市教育委员会科学技术研究计划青年项目资助项目(KJQN201804703);重庆市教育委员会高校创新研究群体项目(CXQTP19037)

收起

Study on the identification of specialty honey of Apis cerana from the three Gorges Reservoir area of Chongqing based on gas chromatography-ion mobility spectrometry

  • LIU Zhenping ,
  • NIE Qingyu ,
  • PANG Kejing ,
  • ZHANG Yan ,
  • JIANG Rong
Expand
  • 1(Chongqing Vocational Institute of Safety & Technology, Chongqing 404020, China)
    2(Chongqing Three Gorges Vocational College, Chongqing 404155, China)

Received date: 2021-03-01

  Revised date: 2021-03-22

  Online published: 2021-12-16

Fold

摘要

采用气相离子迁移谱(gas chromatography-ion mobility spectrometry, GC-IMS)技术对来源于重庆三峡库区的油菜花、五倍子花、枇杷花和柑橘花的4种特色中华蜜蜂蜂蜜(中蜂蜜)的挥发性有机成分进行测定和分析,建立不同植物来源中蜂蜜的判别模型,并对不同植物来源蜂蜜进行鉴别和分类。利用二维差谱法筛选出58个有效特征成分的特征峰作为表征中蜂蜜植物来源差异信息的特征变量,利用主成分分析(principal component analysis,PCA)和线性判别分析(linear discriminate analysis,LDA)方法建立判别模型。结果表明,该研究选取的特征变量经PCA处理后前3个主成分的累积贡献率为81.35%,得分图中4种中蜂蜜分布于不同的区域,无重叠或交叉,建立的判别模型可有效识别不同植物来源的中蜂蜜,准确率为100%,对其他植物来源中蜂蜜的误判率仅为5.9%。该研究利用GC-IMS测定中蜂蜜中的挥发性有机成分,结合PCA和LDA可以准确地区分重庆三峡库区不同蜜源植物特色的中蜂蜜样品,为中蜂蜜的品种鉴别和质量控制提供了新的技术参考。

关键词： 气相离子迁移谱; 重庆三峡库区; 蜂蜜鉴别; 主成分分析; 线性判别分析

本文引用格式

刘振平 , 聂青玉 , 庞钶靖 , 张艳 , 姜容 . 气相离子迁移谱技术鉴别重庆三峡库区特色中蜂蜜研究[J]. 食品与发酵工业, 2021 , 47(22) : 273 -278 . DOI: 10.13995/j.cnki.11-1802/ts.027151

Abstract

The volatile organic compounds of four different plant sources honey of Apis cerana, rape flower honey, gallnut flower honey, loquat flower honey and orange blossom honey in the three Gorges Reservoir area of Chongqing, were determined and analyzed by gas chromatography-ion mobility spectrometry (GC-IMS). The discriminant model to identify and classify different plant sources honey was established. Two-dimensional differential analysis was used to screen out 58 effective characteristic peaks for the characterization of the different plant sources of honey of Apis cerana. A discriminant model was established by principal component analysis (PCA) and linear discriminant analysis (LDA). The results showed that the cumulative contribution rate of the top three principal components in this study was 81.35%, and the four kinds of honey of Apis cerana in the scores plot were distributed in different areas without overlapping or crossing. The established discriminant model could effectively identify the honey of Apis cerana from different plant sources, and the recognition accuracy was 100%. The misdiagnosis rate for honey of Apis cerana from other plant sources was only 5.9%. In this study, volatile components in honey of Apis cerana were determined by GC-IMS, the honey of Apis cerana samples of different plant sources in the three Gorges Reservoir area of Chongqing was accurately distinguished through PCA and LDA analysis, providing a new technical reference for the variety identification and quality control of honey of Apis cerana.

Key words： gas chromatography-ion mobility spectrometry; the three Gorges Reservoir area of Chongqing; honey identification; principal component analysis; linear discriminant analysis

参考文献

[1] TETTE P A S, GUIDI L R, BASTOS E M A F, et al.Synephrine - A potential biomarker for orange honey authenticity[J].Food Chemistry, 2017, 229:527-533.
[2] ALQARNI A S, OWAYSS A A, MAHMOUD A A, et al.Mineral content and physical properties of local and imported honeys in Saudi Arabia[J].Journal of Saudi Chemical Society, 2014, 18(5):618-625.
[3] BLASCO C, VAZQUEZ-ROIG P, ONGHENA M, et al.Analysis of insecticides in honey by liquid chromatography-ion trap-mass spectrometry:comparison of different extraction procedures[J].Journal of Chromatography A, 2011, 1218(30):4 892-4 901.
[4] SILVA L R, LIMA S M P, VASCONCELOS N A E L M.Cultural diversity- dialogue between interdisciplinary indigenous peoples and non indigenous - an experiment in initial teacher training[J].Revista Ambivalências, 2016, 4(7):309-323.
[5] FINOLA M S, LASAGNO M C, MARIOLI J M.Microbiological and chemical characterization of honeys from central Argentina[J].Food Chemistry, 2007, 99(4):1 649-1 653.
[6] DOWNEY G, HUSSEY K, KELLY J D, et al.Preliminary contribution to the characterisation of artisanal honey produced on the island of Ireland by palynological and physico-chemical data[J].Food Chemistry, 2005, 91(2):347-354.
[7] KOMATSU S S, MARCHINI L C, DE C C MORETIA A C.Análises físico-químicas de amostras de méis de flores silvestres, de eucalipto e de laranjeira, produzidos por Apis mellifera L., 1758 (Hymenoptera, Apidae) no estado de são paulo.2.conteúdo de açúcares e de proteína[J].Ciência E Tecnologia De Alimentos, 2002, 22(2):143-146.
[8] BASTOS D H M, FRANCO M R B, SILVA M A A P D, et al.Volatile composition and aroma and flavor profiles of eucalyptus and orange honeys[J].Food Technol, 2002, 22(2):122-129.
[9] 曹炜, 卢珂, 陈卫军, 等.不同种类蜂蜜抗氧化活性的研究[J].食品科学, 2005, 26(8):352-356.
CAO W, LU K, CHEN W J, et al.Study on antioxidation effects of different honeys[J].Food Science, 2005, 26(8):223-227.
[10] FALLICO B, ZAPPALÀ M, ARENA E, et al.Effects of conditioning on HMF content in unifloral honeys[J].Food Chemistry, 2004, 85(2):305-313.
[11] 杨娟. 基于多种光谱技术的蜂蜜和蜂胶品种鉴别研究[D].北京:中国农业科学院,2016.
YANG J.Identification of honey and Propolis varieties based on various spectral techniques[D].Beijing:Chinese Academy of Agricultural Sciences, 2016.
[12] 张颖, 张光艳, 王宇翔, 等.不同花源蜂蜜蛋白质组分及提取方法的比较[J].食品与发酵工业, 2019, 45(14):91-96.
ZHANG Y, ZHANG G Y, WANG Y X, et al.Comparison of protein composition and extraction methods between honey from different floral origins[J].Food and Fermentation Industries, 2019, 45(14):91-96.
[13] 程妮. 蜂蜜植物源鉴别新方法及其保肝活性研究[D].西安:西北大学, 2015.
CHENG N.The novel method for identification of the botanic origin of honey and its hepatoprotection[D].Xi'an:Northwest University, 2015.
[14] CAVAZZA A, CORRADINI C, MUSCI M, et al.High-performance liquid chromatographic phenolic compound fingerprint for authenticity assessment of honey[J].Journal of the Science of Food and Agriculture, 2013, 93(5):1 169-1 175.
[15] 贺琼, 何亮亮, 康予馨, 等.高效液相色谱-电化学检测指纹图谱鉴别3种单花种蜂蜜花源[J].食品科学, 2017, 38(2):290-295.
HE Q, HE L L, KANG Y X, et al.Authentication of three monofloral honeys by high performance liquid chromatography with electrochemical detection[J].Food Science, 2017, 38(2):290-295.
[16] KARABAGIAS I K, BADEKA A, KONTAKOS S, et al.Characterization and classification of Thymus capitatus (L.) honey according to geographical origin based on volatile compounds, physicochemical parameters and chemometrics[J].Food Research International, 2014, 55:363-372.
[17] ROBOTTI E, CAMPO E, RIVIELLO M, et al.Optimization of the extraction of the volatile fraction from honey samples by SPME-GC-MS, experimental design, and multivariate target functions[J].Journal of Chemistry, 2017:1-14.
[18] JANDRIC' Z, HAUGHEY S A, FREW R D, et al.Discrimination of honey of different floral origins by a combination of various chemical parameters[J].Food Chemistry, 2015, 189:52-59.
[19] 孙涛, 夏明星, 孔德英, 等.五倍子蜂蜜TaqMan探针实时荧光定量PCR检测方法的建立[J].贵州农业科学, 2016, 44(8):15-18.
SUN T, XIA M X, KONG D Y, et al.Establishment of a TaqMan real-time PCR assay for detecting the Chinese gall honey[J].Guizhou Agricultural Sciences, 2016, 44(8):15-18.
[20] GOK S, SEVERCAN M, GOORMAGHTIGH E, et al.Differentiation of Anatolian honey samples from different botanical origins by ATR-FTIR spectroscopy using multivariate analysis[J].Food Chemistry, 2015, 170:234-240.
[21] GERHARDT N, BIRKENMEIER M, SCHWOLOW S, et al.Volatile-compound fingerprinting by headspace-gas-chromatography ion-mobility spectrometry (HS-GC-IMS) as a benchtop alternative to 1H NMR profiling for assessment of the authenticity of honey[J].Analytical Chemistry, 2018, 90(3):1 777-1 785.
[22] HERNÁNDEZ-MESA M, ESCOURROU A, MONTEAU F, et al.Current applications and perspectives of ion mobility spectrometry to answer chemical food safety issues[J].TrAC Trends in Analytical Chemistry, 2017, 94:39-53.
[23] VAUTZ W, FRANZKE J, ZAMPOLLI S, et al.On the potential of ion mobility spectrometry coupled to GC pre-separation-A tutorial[J].Analytica Chimica Acta, 2018, 1 024:52-64.
[24] KARPAS Z.Applications of ion mobility spectrometry (IMS) in the field of foodomics[J].Food Research International, 2013, 54(1):1 146-1 151.
[25] 王卫国, 梁茜茜, 程沙沙, 等.离子迁移谱检测痕量爆炸物新技术和应用[J].科学通报, 2014, 59(12):1 079-1 086.
WANG W G, LIANG X X, CHENG S S, et al.Development of ion mobility spectrometry and its application for detection trace explosives[J].Chinese Science Bulletin, 2014, 59(12):1 079-1 086.
[26] VAUTZ W, SLODZYNSKI R, HARIHARAN C, et al.Detection of metabolites of trapped humans using ion mobility spectrometry coupled with gas chromatography[J].Analytical Chemistry, 2013, 85(4):2 135-2 142.
[27] 冯雪, 尹利辉, 金少鸿, 等.离子迁移谱及其在药学领域的应用[J].药物分析杂志, 2013, 33(7):1 109-1 114.
FENG X, YIN L H, JIN S H, et al.Ion mobility spectrometry and its applications in pharmaceutical research and development[J].Chinese Journal of Pharmaceutical Analysis, 2013, 33(7):1 109-1 114.
[28] HOLLINGSWORTH B V, REICHENBACH S E, TAO Q, et al.Comparative visualization for comprehensive two-dimensional gas chromatography[J].Journal of Chromatography A, 2006, 1 105(1-2):51-58.
[29] CAVANNA D, ZANARDI S, DALL'ASTA C, et al.Ion mobility spectrometry coupled to gas chromatography:A rapid tool to assess eggs freshness[J].Food Chemistry, 2018, 271:691-696.
[30] 苏学素, 张晓焱, 焦必宁, 等.基于近红外光谱的脐橙产地溯源研究[J].农业工程学报, 2012, 28(15):240-245.
SU X S, ZHANG X Y, JIAO B N, et al.Determination of geographical origin of navel orange by near infrared spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(15):240-245.
Options
文章导航

/

〈 〉

技术支持：北京玛格泰克科技发展有限公司