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Open Access Issue
Genome Characteristics and Biofilm Formation Ability of Listeria monocytogenes from Fresh Livestock and Poultry Meat
Food Science 2023, 44(10): 142-149
Published: 25 May 2023
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Objective

To understand the relationship between the genetic characteristics and the biofilm formation capability of typical strains of Listeria monocytogenes from fresh livestock and poultry meat in order to provide a basis for the precise control of bacteria in foods.

Methods

Ten isolates of L. monocytogenes belonging to eight sequence types (ST) were selected for whole genome sequencing, gene functional annotation, virulence factor identification, analysis of mobile genetic elements (prophage, genome island and plasmid), evolutionary analysis and, identification of genes related to biofilm formation. The biofilm formation capability of these strains was determined by crystal violet staining, and its correlation with their genomic characteristics was analyzed.

Results

The virulence islands LIPI-1, LIPI-2 and more than 19 another virulence genes, as well as different numbers of prophages and genome islands, were identified in the genomes of the eight STs. The LIPI-3 genes were only identified in the ST3 isolates, and plasmids were identified in the ST8 and ST1403 isolates. Evolutionary branching coefficients showed that five STs were closely related to the outbreak strains in the database. In addition, the luxS and sigB genes related to biofilm formation were mutated or deleted in six and seven STs, respectively. The ST1403 and ST87 isolates had a stronger ability to form biofilm, while the ST1402 isolates had the weakest biofilm formation capacity.

Conclusion

Fresh livestock and poultry meat contains a variety of L. monocytogenes with pathogenic potential and carrying mobile genetic elements may be related to the biofilm formation capability.

Open Access Issue
Gold Nanoparticle-based Colorimetric Aptasensor for Detection of Malathion
Food Science 2023, 44(18): 324-330
Published: 25 September 2023
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In this study, a novel colorimetric sensing method for the detection of malathion was established based on the principle that gold nanoparticles (AuNPs) can aggregate in high-salt solutions, leading to color changes in the solutions. The optimal concentration of NaCl was 500 mmol/L and the optimal concentration of aptamer was 1 μmol/L in the reaction system. This method showed a good linear relationship in the range of malathion concentration of 50–1500 ng/mL, with a detection limit of 45.54 ng/mL. The recoveries of malathion in spiked lettuce and apple samples were 98.24%–100.91% and 99.48%–101.29%, respectively. The AuNPs-based colorimetric aptasensor could be used for the sensitive, specific, accurate and rapid detection of malathion. Furthermore, this study may provide a reference for developing colorimetric aptasensors for the detection of other pesticide residues.

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