Preliminary Assessment of Visible, Near-Infrared, and Short-Wavelength–Infrared Spectroscopy with a Portable Instrument for the Detection of Staphylococcus aureus Biofilms on Surfaces

Author:

FERNÁNDEZ LUCÍA1,ALLENDE-PRIETO CRISTINA2,PEÓN JUANJO2,RECONDO CARMEN23,RODRÍGUEZ-GONZÁLVEZ PABLO4,GUTIÉRREZ DIANA1,MARTÍNEZ BEATRIZ1,GARCÍA PILAR1,RODRÍGUEZ ANA1

Affiliation:

1. Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain

2. Remote Sensing Applications (RSApps) Research Group, Area of Cartographic, Geodesic and Photogrammetric Engineering, Department of Mining Exploitation and Prospecting, University of Oviedo, Campus de Mieres, C/Gonzalo Gutiérrez Quirós s/n, 33600 Mieres, Asturias, Spain

3. Institute of Natural Resources and Spatial Planning (INDUROT), University of Oviedo, Campus de Mieres, C/Gonzalo Gutiérrez Quirós s/n, 33600 Mieres, Asturias, Spain (ORCID: https://orcid.org/0000-0001-7551-2236 [J.P.])

4. Department of Mining Technology, Topography and Structures, Universidad de León, Avda. Astorga s/n, 24401 Ponferrada, León, Spain

Abstract

ABSTRACT Bacterial biofilms constitute a major source of sanitary problems and economic losses in the food industry. Indeed, biofilm removal may require intense mechanical cleaning procedures or very high concentrations of disinfectants or both, which can be damaging to the environment and human health. This study assessed the efficacy of a technique based on spectroscopy in the visible, near-infrared, and short-wavelength infrared range for the quick detection of biofilms formed on polystyrene by the pathogenic bacterium Staphylococcus aureus. To do that, biofilms corresponding to three S. aureus strains, which differed in biofilm-forming ability and composition of the extracellular matrix, were allowed to develop for 5 or 24 h, representing an active formation stage and mature biofilms, respectively. Spectral analysis of the samples, corresponding to three biological replicates of each condition, was then performed by using a portable device. The results of these experiments showed that partial least-squares discriminant analysis of the spectral profile could discriminate between surfaces containing attached bacterial biomass and noninoculated ones. In this model, the two first principal components accounted for 39 and 19% of the variance and the estimated error rate stabilized after four components. Cross-validation accuracy of this assessment was 100%. This work lays the foundation for subsequent development of a spectroscopy-based protocol that allows biofilm detection on food industrial surfaces.

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

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