Rapid, sensitive, and selective detection and identification of pathogenic bacteria is required in terms of food security. In this study, exogenous VOCs liberated by Salmonella strains have been identified and quantified via head space-solid phase microextraction gas chromatography mass spectrometry (HS-SPME-GC-MS) in milk samples. The specific enzymes targeted for detection and/or differentiation of Salmonella were C8 esterase, α-galactosidase and pyrrolidonyl peptidase using the following enzyme substrates: 2-chlorophenyl octanoate, phenyl α-d-galactopyranoside and L-pyrrollidonyl fluoroanilide, respectively. Detection of the exogenous VOCs, 2-chlorophenol, phenol and 3-fluoraniline was possible with typical limits of detection of 0.014, 0.045 and 0.005 μg/mL, respectively and correlation coefficients >0.99. The developed methodology was able to detect and identify Salmonella species within a 5 h incubation at 37 °C by the detection of the liberated VOCs. It was found that the milk samples tested were Salmonella free.
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http://dx.doi.org/10.1016/j.aca.2018.03.065 | DOI Listing |
Physiol Plant
December 2024
Chair of Phytopathology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
The barley powdery mildew disease caused by the biotrophic fungus Blumeria hordei (Bh) poses enormous risks to crop production due to yield and quality losses. Plants and fungi can produce and release volatile organic compounds (VOCs) that serve as signals in plant communication and defense response to protect themselves. The present study aims to identify VOCs released by barley (Hordeum vulgare) during Bh-infection and to decipher VOC-induced disease resistance in receiver plants.
View Article and Find Full Text PDFMicroorganisms
November 2024
Department of Agricultural Biotechnology, National Chiayi University, Chiayi 600355, Taiwan.
Microbes produce various bioactive metabolites that can influence plant growth and stress tolerance. In this study, a plant growth-promoting rhizobacterium (PGPR), strain S14, was identified as (designated as MlS14) using de novo whole-genome assembly. The MlS14 genome revealed major gene clusters for the synthesis of indole-3-acetic acid (IAA), terpenoids, and carotenoids.
View Article and Find Full Text PDFEnviron Sci Technol
October 2024
Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, P. R. China.
Breathomics, a growing field in exposure monitoring and clinical diagnostics, has faced accuracy challenges due to unclear contributing factors. This study aims to enhance the potential of breathomics in various frontiers by categorizing exhaled volatile organic compounds (VOCs) as endogenous or exogenous. Analyzing ambient air and breath samples from 271 volunteers via TD-GC × GC-TOF MS/FID, we identify and quantify 50 common VOCs in exhaled breath.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
August 2024
The Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou, 730000, Gansu Province, China.
In order to study the ecological and atmospheric recovery of the Hexi Corridor region, this paper analyzes the migration changes of land use characteristics and utilizes multivariate data and BenMAP-CE software to study the pollution characteristics of ozone and its precursors and the impact on human health in the Hexi Corridor region. The results showed that the increase of cultivated land area in the Hexi Corridor mainly originated from grassland. The MDA8-O concentrations met the primary and secondary standards of the Ambient Air Quality Standards on 43% and 99% of the days, respectively.
View Article and Find Full Text PDFACS Appl Mater Interfaces
June 2024
Department of Chemistry, Gebze Technical University, 41400 Gebze, Kocaeli, Türkiye.
Different types of solvents, aromatic and aliphatic, are used in many industrial sectors, and long-term exposure to these solvents can lead to many occupational diseases. Therefore, it is of great importance to detect volatile organic compounds (VOCs) using economic and ergonomic techniques. In this study, two macromolecules based on pillar[5]arene, named and , were synthesized and applied to the detection of six different environmentally volatile pollutants in industry and laboratories.
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