The potential of spectral and hyperspectral-imaging techniques for bacterial detection in food: A case study on lactic acid bacteria

TALANTA

卷:153

Article

Foca, Giorgia¹  Ferrari, Carlotta¹  Ulrici, Alessandro¹  Sciutto, Giorgia²  Prati, Silvia²  Morandi, Stefano³  Brasca, Milena³  Lavermicocca, Paola⁴  Lanteri, Silvia⁵  Oliveri, Paolo⁵ 

[1] Univ Modena & Reggio Emilia, Dept Life Sci, Via Amendola 2, I-42122 Reggio Emilia, Italy

[2] Univ Bologna, M2ADL, Ravenna Campus,Via Guaccimanni 42, I-48100 Ravenna, Italy

[3] CNR, Inst Sci Food Prod CNR ISPA, Via Celoria 2, I-20133 Milan, Italy

[4] CNR, Inst Sci Food Prod CNR ISPA, Via Amendola 122-O, I-70126 Bari, Italy

[5] Univ Genoa, Dept Pharm, Via Brigata Salerno 13, I-16147 Genoa, Italy

关键词: FT-NIR spectroscopy;    FT-IR microscopy;    Hyperspectral imaging;    Principal component analysis (PCA);    Lactic acid bacteria (LAB);    Cooked ham;   

DOI  :  10.1016/j.talanta.2016.02.059

来源: Elsevier

【 摘 要 】

Official methods for the detection of bacteria are based on culture techniques. These methods have limitations such as time consumption, cost, detection limits and the impossibility to analyse a large number of samples. For these reasons, the development of rapid, low-cost and non-destructive analytical methods is a task of growing interest. In the present study, the capability of spectral and hyperspectral techniques to detect bacterial surface contamination was investigated preliminarily on gel cultures, and subsequently on sliced cooked ham. In more detail, two species of lactic acid bacteria (LAB) were considered, namely Lactobacillus curvatus and Lactobacillus sakei, both of which are responsible for common alterations in sliced cooked ham. Three techniques were investigated, with different equipment, respectively: a macroscopic hyper spectral scanner operating in the NIR (10,470-5880 cm(-1)) region, a FT-NIR spectrophotometer equipped with a transmission arm as the sampling tool, working in the 12,500-5800 cm(-1) region, and a FT-MIR microscopy operating in the 4000-675 cm(-1) region. Multivariate exploratory data analysis, in particular principal component analysis (PCA), was applied in order to extract useful information from original data and from hyperspectrograms. The results obtained demonstrate that the spectroscopic and imaging techniques investigated can represent an effective and sensitive tool to detect surface bacterial contamination in samples and, in particular, to recognise species to which bacteria belong. (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

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