Biospeckle Analysis and Biofilm Electrostatic Tests, Two Useful Methods in Microbiology

Author:

Oleandro Emilia,Grilli Simonetta,Rega Romina,Mugnano Martina,Bianco Vittorio,Valentino Marika,Mandracchia BiagioORCID,Nazzaro FilomenaORCID,Coppola RaffaeleORCID,Ferraro PietroORCID

Abstract

The development of more sensitive methodologies, capable of quickly detecting and monitoring a microbial population present in a specific biological matrix, as well as performing to allow for the study of all its metabolic changes (e.g., during the formation of biofilm) to occur, is an essential requirement for both well-being and the food industry. Two techniques, in particular, have gained the attention of scientists: The first is “biospeckle”, an optical technique representing an innovative tool for applications in food quality, food safety, and nutraceuticals. With this technique, we can quickly evaluate and monitor the presence of bacteria (or their proliferation) in a solid or liquid biological matrix. In addition, the technique is helpful in quantifying and optimizing the correct storage time of the pro-biotics, if they are entrapped in matrices such as alginate and follow their survival rate in simulated gastro-intestinal conditions. A second technique with great chances is the “biofilm electrostatic test” (BET). BET undoubtedly represents a fast, simple, and highly reproducible tool suitable for admitting the evaluation of the in vitro bacterial capacity in order to adhere through an electrostatic interaction with a pyro-electrified carrier after only 2 h of incubation. BET could represent the way for a quick and standardized evaluation of bacterial resistance among biofilm-producing microorganisms through a fast evaluation of the potential presence of the biofilm.

Publisher

MDPI AG

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of Biofilm on Steel and Plastic Surfaces Using Image Analysis;Lecture Notes in Mechanical Engineering;2023

2. Detection of Biofilm on Steel and Plastic Surface Using Image Analysis;Lecture Notes in Mechanical Engineering;2023

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