ArticleAnalytical and bioanalytical chemistry2017
Analysis of Listeria using exogenous volatile organic compound metabolites and their detection by static headspace-multi-capillary column-gas chromatography-ion mobility spectrometry (SHS-MCC-GC-IMS).
Article in Analytical and bioanalytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 32 citations in OpenAlex.
- Effectiveness of Differentiating Mold Levels in Soybeans with Electronic Nose Detection Technology.Foods (Basel, Switzerland) · 2024Article
- A matrix-centered view of mass spectrometry platform innovation for volatilome research.Frontiers in molecular biosciences · 2024Review
- Effects of Fermentation withFoods (Basel, Switzerland) · 2023Article
- Molecular Targets for Foodborne Pathogenic Bacteria Detection.Pathogens (Basel, Switzerland) · 2023Review
- Volatile Flavor Compounds ofFrontiers in nutrition · 2022Article
- Insights into the Aroma Profile of Sauce-Flavor Baijiu by GC-IMS Combined with Multivariate Statistical Analysis.Journal of analytical methods in chemistry · 2022Article
- Characteristic Volatile Fingerprints of Four Chrysanthemum Teas Determined by HS-GC-IMS.Molecules (Basel, Switzerland) · 2021Article
- Determination of volatile organic compounds by HS-GC-IMS to detect different stages ofFood science & nutrition · 2021Article
- Induced volatolomics of pathologies.Nature reviews. Chemistry · 2021Review
- Detection of β-alanyl aminopeptidase as a biomarker forRSC advances · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Listeria monocytogenes is a Gram-positive bacterium and an opportunistic food-borne pathogen which poses significant risk to the immune-compromised and pregnant due to the increased likelihood of acquiring infection and potential transmission of infection to the unborn child. Conventional methods of analysis suffer from either long turn-around times or lack the ability to discriminate between Listeria spp. reliably. This paper investigates an alternative method of detecting Listeria spp. using two novel enzyme substrates that liberate exogenous volatile organic compounds in the presence of α-mannosidase and D-alanyl aminopeptidase. The discriminating capabilities of this approach for identifying L. monocytogenes from other species of Listeria are investigated. The liberated volatile organic compounds (VOCs) are detected using an automated analytical technique based on static headspace-multi-capillary column-gas chromatography-ion mobility spectrometry (SHS-MCC-GC-IMS). The results obtained by SHS-MCC-GC-IMS are compared with those obtained by the more conventional analytical technique of headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS). The results found that it was possible to differentiate between L. monocytogenes and L. ivanovii, based on their VOC response from α-mannosidase activity.
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