4.7 Article

Potential of Near Infrared Spectroscopy as a Rapid Method to Discriminate OTA and Non-OTA-Producing Mould Species in a Dry-Cured Ham Model System

期刊

TOXINS
卷 13, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/toxins13090620

关键词

ochratoxin A (OTA); moulds; near-infrared spectroscopy (NIR); classification; portable device

资金

  1. Spanish Ministry of Economy and Competitiveness, Government of Extremadura
  2. FEDER [AGL2016-80209-P, PID2019-104260GB-100, GR18056]

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The ripening process of dry-cured meat products involves the development of fungi on the surface, which can be beneficial or health-risky depending on the production of mycotoxins. Near-infrared spectroscopy coupled with Support Vector Machines-Discriminant Analysis models showed high potential for detecting OTA-producing moulds on dry-cured ham agar. Promising results were obtained for predicting OTA-producing species, demonstrating the efficiency of this approach for real-time monitoring of dry-cured ham surfaces.
The ripening process of dry-cured meat products is characterised by the development of fungi on the product's surface. This population plays a beneficial role, but, uncontrolled moulds represent a health risk, since some of them may produce mycotoxins, such as ochratoxin A (OTA). The aim of the present work is to assess the potential of near-infrared spectroscopy (NIRS) for the detection of OTA-producing mould species on dry-cured ham-based agar. The collected spectra were used to develop Support Vector Machines-Discriminant Analysis (SVM-DA) models by a hierarchical approach. Firstly, an SVM-DA model was tested to discriminate OTA and non-OTA producers; then, two models were tested to discriminate species among the OTA producers and the non-OTA producers. OTA and non-OTA-producing moulds were discriminated with 85% sensitivity and 86% specificity in the prediction. Furthermore, the SVM-DA model could differentiate non-OTA-producing species with a 95% sensitivity and specificity. Promising results were obtained for the prediction of the four OTA-producing species tested, with a 69% and 90% sensitivity and specificity, respectively. The preliminary approach demonstrated the high potential of NIR spectroscopy, coupled with Chemometrics, to be used as a real-time automated routine monitorization of dry-cured ham surfaces.

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