GONG Fang, LIU Xiaojing, KANG Qiuyan, et al. Rapid Differentiation and Identification of Foodborne Pathogenic Bacteria and Fungi by FT-IR Spectroscopy[J]. Science and Technology of Food Industry, 2022, 43(13): 235−241. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021100062.
Citation: GONG Fang, LIU Xiaojing, KANG Qiuyan, et al. Rapid Differentiation and Identification of Foodborne Pathogenic Bacteria and Fungi by FT-IR Spectroscopy[J]. Science and Technology of Food Industry, 2022, 43(13): 235−241. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021100062.

Rapid Differentiation and Identification of Foodborne Pathogenic Bacteria and Fungi by FT-IR Spectroscopy

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  • Received Date: October 11, 2021
  • Available Online: April 30, 2022
  • Objective: In order to satisfy the detection requirements of common foodborne pathogenic microorganisms in food safety detection, Fourier tranform infrared spectroscopy (FT-IR) was used to establish a method for rapid differentiation and identification method for common foodborne pathogenic bacteria and fungi. Methods: FT-IR fingerprints absorption spectra of 977.9~1805.3 cm−1 for 13 species of foodborne pathogenic bacteria, 900~1800 cm−1 and 2800~3700 cm−1 for 12 species of fungi were collected. Two chemometric methods (PCA and HCA) were used for the data analysis. The veracity of the method to classify the suspected species was proved by labeling verification experiment. Results: The standard spectral derivatives library of all species were created. Two discriminant models were created, and the results showed that the HCA cluster analysis model was proved to be suitable to accurately cluster 13 pathogenic bacteria and 12 fungi at the interspecific level. The suspected strains in the labeling verification experiment were accurately clustered to the corresponding species. Conclusion: The FT-IR technique combined with HCA clustering analysis method were proved to be a feasible method to provide rapid identification of common foodborne pathogenic bacteria and fungi species.
  • [1]
    VANDER FELS-KLERX H J, VANASSELT E D, RALEY M, et al. Critical review of methods for risk ranking of food-related hazards, based on risks for human health[J]. Crit Rev Food Sci Nutr,2018,58:178−193. doi: 10.1080/10408398.2016.1141165
    [2]
    HERMANN C A, DUERKOP A, BAEUMNER A J, et al. Food safety analysis enabled through biological and synthetic materials: A critical review of current trends[J]. Analytical Chemistry,2018,10:10−29.
    [3]
    丁洪亮, 杜春仙. 食品质量安全风险因素及措施研究[J]. 现代食品,2018(5):58−60. [DING H L, DU C X. Research of food quality safety risk factors and measures[J]. Modern Food,2018(5):58−60.

    DING H L, DU C X. Research of food quality safety risk factors and measures[J]. Modern Food, 2018, (5): 58-60.
    [4]
    周枫然, 韩桥, 张体强, 等. 傅立叶变换红外光谱技术的应用进展[D]. 北京: 中国计量科学研究院, 2021: 1−2.

    ZHOU F R, HAN Q, ZHANG T Q, et al. Application and progress of fourier transform infrared spectroscopy technology[D]. Beijing: National Institute of Metrology, 2021: 1−2.
    [5]
    WHITE R. Chromatography/Fourier transform infrared spectroscopy and its applications[M]. Los Angeles: CRC Press, 2020, 11−12.
    [6]
    俞婷, 周宝梅, 徐敏, 等. 食源性致病菌的表面增强拉曼光谱检测技术研究进展[J]. 分析测试学报,2020,40(4):519−527. [YU T, ZHOU B M, XU M, et al. Advances in surface enhanced raman spectroscopy for detection of foodborne pathogens[J]. Journal of Instrumental Analysis,2020,40(4):519−527.

    YU T, ZHOU B M, XU M, et al. Advances in surface enhanced raman spectroscopy for detection of foodborne pathogens[J]. Journal of Instrumental Analysis, 2020, 40(4): 519-527.
    [7]
    周冰谷, 花振新, 杨荣, 等. 近红外光谱技术在食品微生物检测中的应用[J]. 食品安全质量检测学报,2019,10(16):5393−5398. [ZHOU B G, HUA Z X, YANG R, et al. Application of FT-NIR in food microbiology detection[J]. Journal of Food Safety & Quality,2019,10(16):5393−5398. doi: 10.3969/j.issn.2095-0381.2019.16.028

    ZHOU B G, HUA Z X, YANG R, et al. Application of FT-NIR in food microbiology detection[J]. Journal of Food Safety & Quality, 2019, 10(16): 5393-5398. doi: 10.3969/j.issn.2095-0381.2019.16.028
    [8]
    NAUMANAN D. Some ultra-structural information on intact, living bacterial cells and related cell-wall fragments as given by FT-IR[J]. Infrared Physics and Technology,1984(24):233−238.
    [9]
    NAUMANAN D, HELM D, LABISCHINSKI H. Microbiological characterization by FT-IR spectroscopy[J]. Nature,1991,351(6321):81−82. doi: 10.1038/351081a0
    [10]
    陈超, 柳琦, 李钒, 等. 红外光谱技术在食品安全检测中的研究与应用[J]. 食品研究与开发,2019,40(14):219−224. [CHEN C, LIU Q, LI F, et al. Research and application of FT-IR in food safety detection[J]. Food Research and Development,2019,40(14):219−224.

    CHEN C, LIU Q, LI F, et al. Research and application of FT-IR in food safety detection[J]. Food Research and Development, 2019, 40(14): 219-224.
    [11]
    张占林, 乔勇升, 王萍. 傅立叶变换红外光谱技术对阪崎肠杆菌及奇异变形杆菌的分类鉴定[J]. 食品研究与开发,2018,39(12):150−154. [ZHANG Z L, QIAO Y S, WANG P. Classification and identification of Enterobacter sakazakii and Proteus mirabilis by fourier transform infrared spectroscopy[J]. Food Research and Development,2018,39(12):150−154. doi: 10.3969/j.issn.1005-6521.2018.12.029

    ZHANG Z L, QIAO Y S, WANG P. Classification and identification of Enterobacter sakazakii and Proteus mirabilis by fourier transform infrared spectroscopy[J]. Food Research and Development, 2018, 39(12): 150-154. doi: 10.3969/j.issn.1005-6521.2018.12.029
    [12]
    代群威, 董发勤. FTIR技术在几株细菌鉴定中的应用[J]. 西南科技大学学报,2009,24(1):114−118. [DAI Q W, DONG F Q. The application study of FT-IR technology in microbial classification[J]. Jounal of Southwest University and Technology,2009,24(1):114−118. doi: 10.3969/j.issn.1671-8755.2009.01.022

    DAI Q W, DONG F Q. The application study of FT-IR technology in microbial classification[J]. Jounal of Southwest University and Technology, 2009, 24(1): 114-118. doi: 10.3969/j.issn.1671-8755.2009.01.022
    [13]
    慈云祥, 臧凯赛, 高体玉. 几种微生物的红外光谱研究[J]. 高等学校化学学报,2002,23(6):1047−1049. [CI Y X, ZANG K S, GAO T Y. Research of several species of microbiology by FT-IR spectroscopy[J]. Chem J,2002,23(6):1047−1049. doi: 10.3321/j.issn:0251-0790.2002.06.050

    CI Y X, ZANG K S, GAO T Y. Research of several species of microbiology by FT-IR spectroscopy[J]. Chem J, 2002, 23(6): 1047-1049 doi: 10.3321/j.issn:0251-0790.2002.06.050
    [14]
    王若男, 岳田利, 袁亚宏. 基于傅里叶变换近红外光谱的脂环酸芽孢杆菌种间分类鉴定[J]. 光谱学与光谱分析,2015,35(11):3073−3077. [WANG R N, YUE T L, YUAN Y H. Interspecific classification and identification of Bacillus alicyclate based on fourier transform near infrared spectroscopy[J]. Spectra and Spec,2015,35(11):3073−3077.

    WANG R N, YUE T L, YUAN Y H. Interspecific classification and identification of Bacillus alicyclate based on fourier transform near infrared spectroscopy[J]. Spectra and Spec, 2015, 35(11): 3073-3077
    [15]
    LEFIER D, HIRST D, HOLT C, et al. Effect of sampling procedure and strain variation in Listeria monocytogenes on the discrimination of species in the genus Listeria by fourier transform infrared spectroscopy and canonical variates analysis[J]. FEMS Microbiology Letters,1997,147(1):45−47. doi: 10.1111/j.1574-6968.1997.tb10218.x
    [16]
    李兆杰, 张玉春, 刘玉敏, 等. 傅里叶变换红外光谱技术对4种志贺氏菌快速分型的研究[J]. 中国海洋大学学报(自然科学版),2018,48(1):57−62. [LI Z J, ZHANG Y C, LIU Y M, et al. Rapid typing of four species of Shigella by fourier transform infrared spectroscopy[J]. Periodical of Ocean University of China,2018,48(1):57−62.

    LI Z J, ZHANG Y C, LIU Y M, et al. Rapid typing of fourspecies of Shigella by fourier transform infrared spectroscopy[J]. Periodical of Ocean University of China, 2018, 48(1): 57-62.
    [17]
    柴阿丽, 李金萍, 石延霞, 等. 基于傅里叶变换红外光谱和聚类分析的真菌鉴别[J]. 光谱学与光谱分析,2010,30(11):2941−2944. [CHAI A L, LI J P, SHI Y X, et al. Identification of fungi based on fourier transform infrared spectroscopy and cluster analysis[J]. Spectra and Spec,2010,30(11):2941−2944.

    CHAI A L, LI J P, SHI Y X, et al. Identification of fungi based on fourier transform infrared spectroscopy and cluster analysis[J]. Spectra and Spec, 30(11): 2941-2944.
    [18]
    LIN M, HOLY M, CHANG S, et al. Rapid discrimination of Alicyclobacillus strains in apple juice by fourier transform infrared spectroscopy[J]. International Journal of Food Microbiology,2005(105):369−376.
    [19]
    DZIUBA B, BABUCHOWSKI A, NALECZ D, et al. Identification of lactic acid bacteria using FT-IR spectroscopy and cluster analysis[J]. International Dairy Journal,2007(17):183−189.
    [20]
    李承泽, 陈成. 傅立叶变换光谱仪的研究现状与光谱信息分析原理[J]. 中国管理信息化,2017,20(5):79−83. [LI C Z, CHEN C. Research status of fourier transform infrared spectroscopy and analysis principle of spectral information[J]. China Management Informationization,2017,20(5):79−83. doi: 10.3969/j.issn.1673-0194.2017.05.043

    LI C Z, CHEN C. Research status of fourier transform infrared spectroscopy and analysis principle of spectral information[J]. China Management Informationization, 2017, 20(5): 79-83. doi: 10.3969/j.issn.1673-0194.2017.05.043
    [21]
    张莹, 杨曙明. FT-IR在物质结构分析方面的研究进展[J]. 光谱学与光谱分析,2017,37(1):35−36. [ZHANG Y, YANG S M. Research progress of FT-IR in material structure analysis[J]. Spectra and Spec,2017,37(1):35−36.

    ZHANG Y, YANG S M. Research progress of FT-IR in material structure analysis[J]. Spectra and Spec, 2017, 37(1): 35-36.
    [22]
    RODRIGUEZ L E, KHAMBATY F M, FRY F S, et al. Rapid detection and identification of bacterial strains by fourier transform near infrared spectroscopy[J]. Journal of Agricultural and Food Chemistry,2001(49):574−579.
    [23]
    WANG Y, WEI W, ZHANG Y, et al. A new strategy of characterizing hydrocarbon fuels using FT-IR spectra and generalized linear model with grouped-Lasso regularization[J]. Fuel,2021,287:119−419.
    [24]
    ABDUL R, ANJAR W, ENDWANG L, et al. The use of FT-IR and raman spectroscopy in combination with chemometrics for analysis of biomoleculars in biomedical fluids: A review[J]. Biomed Spectro Imaging,2020,8(34):55−71.
    [25]
    HUTCHINSON G, WELSH C D M, BURÉS J, et al. Use of standard addition to quantify in situ FT-IR reaction data[J]. J Org Chem,2020,86(2):2012−2016.
    [26]
    VINAY K B, LOSCHEL L A, IMHOF H K, et al. Analysis of microplastics of a broad size range in commercially important mussels by combining FT-IR and raman spectroscopy approaches[J]. Environ Pollut,2021,269:116−147.
    [27]
    蔡飞, 陆峰. 傅立叶变换红外光谱结合化学计量学在微生物判别、分类、鉴定中的应用[J]. 药学实践杂志,2002,20(4):238−241. [CAI F, LU F. The application of fourier transform infrared spectroscopy combined with chemometrics in the identification, classification and differentiation of microorganism[J]. Pharma Prac,2002,20(4):238−241. doi: 10.3969/j.issn.1006-0111.2002.04.022

    CAI F, LU F. The application of fourier transform infrared spectroscopy combined with chemometrics in the identification, classification and differentiation of microorganism[J]. Pharma Prac, 2002, 20(4): 238−241. doi: 10.3969/j.issn.1006-0111.2002.04.022
    [28]
    张芳, 周昊, 徐寸发, 等. 红外光谱结合化学计量学在食品检测中的应用[J]. 安徽农业科学,2018,46(12):23−26. [ZHANG F, ZHOU H, XU C F, et al. Application of infrared spectroscopy combined with chemometrics in food detection[J]. Anhui Agriculture Science,2018,46(12):23−26. doi: 10.3969/j.issn.0517-6611.2018.12.008

    ZHANG F, ZHOU H, XU C F, et a1. Application of infrared spectroscopy combined with chemometrics in food detection[J]. Anhui Agriculture Science, 2018, 46(12): 23-26. doi: 10.3969/j.issn.0517-6611.2018.12.008
    [29]
    李志辉, 罗平. PASW/SPSS Statistics 中文版统计分析教程[M]. 第3版, 北京: 电子工业出版社, 2010: 443−455.

    LI Z H, LUO P. PASW/SPSS Statistics[M]. Third Edition, Beijing: Electronic Industry Press, 2010, : 443−455.
    [30]
    崔小燕, 杨惠程, 孙千鸿. 化学计量方法在食品安全检测中的应用现状[J]. 食品安全导刊,2021(6):173−175. [CUI X Y, YANG H C, SUN Q H. Application status of chemometrics in food safety testing[J]. China Food Safety Magazine,2021(6):173−175.

    CUI X Y, YANG H C, SUN Q H. Application status of chemometrics in food safety testing[J]. China Food Safety Magazine, 2021, (6): 173-175.
    [31]
    王萍, 张占林, 乔勇升. 傅立叶变换红外光谱技术对铜绿假单胞菌及其干扰菌的分类鉴定[J]. 食品安全与检测,2017,42(4):302−305. [WANG P, ZHANG Z L, QIAO Y S. Classification and identification of Pseudomonas aeruginosa and its interfering bacteria by Fourier transform infrared spectroscopy[J]. Food Safety and Detection,2017,42(4):302−305.

    WANG P, ZHANG Z L, QIAO Y S. Classification and identification of Pseudomonas aeruginosa and its interfering bacteria by Fourier transform infrared spectroscopy[J]. Food Safety and Detection, 2017, 42(4): 302-305.
    [32]
    岳田利, 王军, 袁亚宏, 等. 基于FT-NIR的微生物快速鉴定方法研究[J]. 光谱学与光谱分析,2010,11(30):2945−2949. [YUE T L, WANG J, YUAN Y H, et al. Rapid identification of microorganisms based on FT-NIR[J]. Spectra and Spec,2010,11(30):2945−2949.

    YUE T L, WANG J, YUAN Y H, et al. Rapid identification of microorganisms based on FT-NIR[J]. Spectra and Spec, 2010, 11(30): 2945-2949.
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