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Detection of spoilage associated bacteria using Raman-microspectroscopy combined with multivariate statistical analysis

  • Raman-Microspectroscopy with subsequent chemometric evaluation was used for the rapid and non-destructive differentiation of seven important spoilage related microorganisms, namely Brochothrix thermosphacta DSM 20171, Pseudomonas fluorescens DSM 4358, Pseudomonas fluorescens DSM 50090, Micrococcus luteus, Escherichia coli HB101, Escherichia coli TOP10 and Bacillus thuringiensis israelensis DSM 5724. Therefore fast collected spectra directly from rapid surface blots without any pretreatments like purification or singulation steps were used. To estimate and classify the Raman-spectroscopic data at genera and strain level an adequate preprocessing together with a subsequent chemometric evaluation consisting of principal component analysis and discriminant analysis was used. Thereby, importance was attached to a balanced data set, as this makes the multivariate analysis of the data significantly more resilient and meaningful. The analysis showed that the differentiation of spoilage related microorganisms on genera and strain level was successful and the classification of independent test data showed only an error rate of 3.5%.

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Metadaten
Document Type:Article
Language:English
Parent Title (English):Talanta
Volume:196
First Page:325
Last Page:328
ISSN:0039-9140
DOI:https://doi.org/10.1016/j.talanta.2018.12.094
Publisher:Elsevier
Date of first publication:2018/12/27
Tag:Chemometrics; Discriminant analysis; Principal component analysis; Raman-microspectroscopy; Spoilage bacteria
Departments, institutes and facilities:Fachbereich Angewandte Naturwissenschaften
Institut für Sicherheitsforschung (ISF)
Dewey Decimal Classification (DDC):5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
Entry in this database:2019/01/09