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Implementation of an FTIR spectral library of 486 filamentous fungi strains for rapid identification of molds

机译：建立486个丝状真菌菌株的FTIR光谱库以快速鉴定霉菌

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摘要

Filamentous fungi may cause food and feed spoilage and produce harmful metabolites to human and animal health such as mycotoxins. Identification of fungi using conventional phenotypic methods is time-consuming and molecular methods are still quite expensive and require specific laboratory skills. In the last two decades, it has been shown that Fourier transform infrared (FTIR) spectroscopy was an efficient tool for microorganism identification. The aims of this study were to use a simple protocol for the identification of filamentous fungi using FTIR spectroscopy coupled with a partial least squares discriminant analysis (PLS-DA), to implement a procedure to validate the obtained results, and to assess the transferability of the method and database. FTIR spectra of 486 strains (43 genera and 140 species) were recorded. An 1R spectral database built with 288 strains was used to identify 105 different strains. It was found that 99.17% and 92.3% of spectra derived from these strains were correctly assigned at the genus and species levels, respectively. The establishment of a score and a threshold permitted to validate 80.79% of the results obtained. A standardization function (SF) was also implemented and tested on FTIR data from another instrument on a different site and permitted to increase the percentage of well predicted spectra for this set from 72.15% to 89.13%. This study confirms the good performance of high throughput FTIR spectroscopy for fungal identification using a spectral library of molds of industrial relevance.
机译：丝状真菌可能导致食物和饲料变质，并产生对人体和动物健康有害的代谢产物，如霉菌毒素。使用常规表型方法鉴定真菌是费时的，分子方法仍然相当昂贵，并且需要特定的实验室技能。在过去的二十年中，已经表明傅里叶变换红外（FTIR）光谱是用于微生物鉴定的有效工具。这项研究的目的是使用一个简单的协议，通过FTIR光谱结合偏最小二乘判别分析（PLS-DA）来鉴定丝状真菌，以实施验证所获得结果的程序，并评估该方法的可转移性。方法和数据库。记录了486个菌株（43属140种）的FTIR光谱。使用由288个菌株构建的1R光谱数据库来识别105个不同菌株。发现从这些菌株获得的光谱的99.17％和92.3％分别在属和种水平上被正确分配。分数和阈值的建立允许对所获得结果的80.79％进行验证。还实施了标准化功能（SF），并在不同地点的另一台仪器上对FTIR数据进行了测试，并允许将该组的良好预测光谱的百分比从72.15％提高到89.13％。这项研究证实了使用具有工业相关性的模具光谱库，高通量FTIR光谱用于真菌鉴定的良好性能。

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  • 来源
    《Food microbiology》 |2015年第febaptaa期|126-134|共9页
  • 作者

    A. Lecellier; V. Gaydou; J. Mounier; A. Hermet; L. Castrec; G. Barbier; W. Ablain; M. Manfait; D. Toubas; G.D. Sockalingum;

  • 作者单位

    MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, FRE CNRS 3481MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 REIMS cedex, France;

    MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, FRE CNRS 3481MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 REIMS cedex, France;

    Laboratoire Universitaire de Biodiversite et Ecologie Microbienne (EA3882), SFR148 ScInBioS, Universite Europeenne de Bretagne, Universite de Brest, ESIAB, Technopole de Brest Iroise, 29280 Plouzane, France;

    Laboratoire Universitaire de Biodiversite et Ecologie Microbienne (EA3882), SFR148 ScInBioS, Universite Europeenne de Bretagne, Universite de Brest, ESIAB, Technopole de Brest Iroise, 29280 Plouzane, France;

    Laboratoire Universitaire de Biodiversite et Ecologie Microbienne (EA3882), SFR148 ScInBioS, Universite Europeenne de Bretagne, Universite de Brest, ESIAB, Technopole de Brest Iroise, 29280 Plouzane, France;

    Laboratoire Universitaire de Biodiversite et Ecologie Microbienne (EA3882), SFR148 ScInBioS, Universite Europeenne de Bretagne, Universite de Brest, ESIAB, Technopole de Brest Iroise, 29280 Plouzane, France;

    AES CHEMUNEX/BIOMERIEUX, Rue Maryse Bastie, CS17219 Ker Lann, 35172 Bruz cedex, France;

    MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, FRE CNRS 3481MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 REIMS cedex, France;

    MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, FRE CNRS 3481MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 REIMS cedex, France,Laboratoire de Parasitologie Mycologie, CHU de Reims, Hopital Maison Blanche, 45 rue Cognacq Jay, 51092 Reims cedex, France;

    MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, FRE CNRS 3481MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 REIMS cedex, France,Universite de Reims Champagne-Ardenne, Equipe Me-DIAN, Biophotonique et Technologies pour la Sante, Unite MEDyC, CNRS FRE3481, UFR Pharmacie, SFR CAP-Sante FED4231, 51 rue Cognacq-Jay, Reims, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    FTIR spectroscopy; Filamentous fungi; Identification; Food industry; PLS-DA; Standardization function;

    机译：FTIR光谱;丝状真菌;鉴定;食品工业;PLS-DA;标准化功能;

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