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

• Published in: Journal of food protection 2019-08, Vol.82 (8), p.1314-1319
• Main Authors: Fernández, Lucía, Allende-Prieto, Cristina, Peón, Juanjo, Recondo, Carmen, Rodríguez-Gonzálvez, Pablo, Gutiérrez, Diana, Martínez, Beatriz, García, Pilar, Rodríguez, Ana
• Format: Article
• Language: English
• Subjects: Biofilms; Damage assessment; Discriminant analysis; Disinfectants; Economic impact; Extracellular matrix; Food; Food contamination; Food industry; Food processing industry; Food safety; Food-Processing Industry - instrumentation; Food-Processing Industry - methods; Humans; I.R. radiation; Infrared Rays; Infrared spectroscopy; Laboratories; Light; Mechanical cleaning; Medical equipment; Microscopy; Near infrared radiation; Noise; Pathogens; Polystyrene; Polystyrene resins; Portable equipment; Principal components analysis; Radiation; Spectra; Spectral analysis; Spectrum analysis; Spectrum Analysis - instrumentation; Spectrum Analysis - standards; Staphylococcal Infections - prevention & control; Staphylococcus aureus; Staphylococcus aureus - chemistry; Staphylococcus aureus - isolation & purification; Staphylococcus infections; Wavelength
• ISSN: 0362-028X; 1944-9097
• DOI: 10.4315/0362-028X.JFP-18-567

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 . To do that, biofilms corresponding to three 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.