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.
J Food Prot. 2019 Aug;82(8):1314-1319. 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.
细菌生物膜是食品工业中卫生问题和经济损失的主要来源。事实上,去除生物膜可能需要强烈的机械清洁程序或非常高浓度的消毒剂或两者兼而有之,这可能对环境和人类健康造成损害。本研究评估了一种基于光谱学的技术的功效,该技术在可见、近红外和短波近红外范围内可快速检测聚苯乙烯上由病原菌形成的生物膜。为此,允许生物膜形成能力和细胞外基质组成不同的三种菌株的生物膜分别形成 5 或 24 小时,分别代表活跃形成阶段和成熟生物膜。然后通过使用便携式设备对每个条件的三个生物学重复的样本进行光谱分析。这些实验的结果表明,对光谱特征的偏最小二乘判别分析可以区分含有附着细菌生物量的表面和未接种的表面。在该模型中,前两个主成分占方差的 39%和 19%,在四个成分之后估计的误差率稳定下来。该评估的交叉验证准确性为 100%。这项工作为随后开发基于光谱学的协议奠定了基础,该协议允许在食品工业表面检测生物膜。