TMT-Based Quantitative Proteomics and Non-targeted Metabolomic Analyses Reveal the Antibacterial Mechanism of Hexanal against Vibrio parahaemolyticus

Hexanal is a phytochemical with antimicrobial activity. However, its antibacterial effect and mechanism against Vibrio parahaemolyticus (V. parahaemolyticus) remain unclear. The study aims to elucidate the associated mechanism using tandem mass tag quantitative proteomics and non-targeted metabolomics. Hexanal treatment reduced intracellular ATP concentration, increased membrane permeability, and destroyed the morphology and ultrastructure of V. parahaemolyticus cells. Proteomics and metabolomics data indicated that 572 differentially expressed proteins (DEPs) and 241 differential metabolites (DMs) were identified in hexanal-treated V. parahaemolyticus. These DEPs and DMs were involved in multiple biological pathways including amino acid metabolism, purine and pyrimidine biosynthesis, etc. Bioinformatics analysis revealed that hexanal damaged the structure and function of cell membranes, inhibited nucleotide metabolism, and disturbed carbohydrate metabolism and tricarboxylic acid cycle (TCA) cycle, which ultimately resulted in growth inhibition and bacterial death. The study is conducive to better understand the mode of action of hexanal against V. parahaemolyticus and offers experimental foundation for the application of hexanal as the antibacterial agent in the seafood-associated industry

Fabrication of an Antifouling Surface Plasmon Resonance Sensor with Stratified Zwitterionic Peptides for Highly Efficient Detection of Peanut Allergens in Biscuits

Peanut allergen monitoring is currently an effective strategy to avoid allergic diseases, while food matrix interference is a critical challenge during detection. Here, we developed an antifouling surface plasmon resonance sensor (SPR) with stratified zwitterionic peptides, which provides both excellent antifouling and sensing properties. The antifouling performance was measured by the SPR, which showed that stratified peptide coatings showed much better protein resistance, reaching ultralow adsorption levels (2). Atomic force microscopy was used to further analyze the antifouling mechanism from a mechanical perspective, which demonstrated lower adsorption forces on hybrid peptide coatings, confirming the better antifouling performance of stratified surfaces. Moreover, the recognition of peanut allergens in biscuits was performed using an SPR with high efficiency and appropriate recovery results (98.2–112%), which verified the feasibility of this assay. Therefore, the fabrication of antifouling sensors with stratified zwitterionic peptides provides an efficient strategy for food safety inspection