Detection of Microbiological Contamination and Malfunctions in Technical Equipment Used in the Milk Processing Industry Using Acyl-Homoserine Lactones With Liquid Chromatography/Triple Quadrupole Mass Spectrometry

Title data

Koch, S. ; Kertsch, A. L. ; Baldermann, Susanne ; Gorzki, L.:
Detection of Microbiological Contamination and Malfunctions in Technical Equipment Used in the Milk Processing Industry Using Acyl-Homoserine Lactones With Liquid Chromatography/Triple Quadrupole Mass Spectrometry.
In: Rapid Communications in Mass Spectrometry. Vol. 40 (2026) Issue 14 . - e70091.
ISSN 1097-0231
DOI: https://doi.org/10.1002/rcm.70091

Official URL:

Abstract in another language

Rationale
Bacterial contamination causes sensory changes and health risks and is a critical quality factor in the food industry. Plate-based microbiological methods have long incubation times, making rapid contamination control difficult. Homoserine lactones (HSLs) from Gram-negative bacteria mediate quorum sensing that drives biofilm and toxin formation; our approach uses four homoserine lactones to rapidly identify contamination.
Methods
A sample preparation and LC/MS/MS method were established and validated for the four HSLs of different polarity: N-butyryl-L-homoserine lactone, N-(3-hydroxy-butanoyl)-L-homoserine lactone, N-(3-oxooctanoyl)-L-homoserine lactone, and N-(3-oxododecanoyl)-L-homoserine lactone. This method uses positive electron spray ionization with a triple quadrupole mass analyzer and γ-decalactone as the internal standard. The validated method was then used to analyze HSLs extracted from technical cooling water by solid-phase extraction.
Results
The method provides same-day results without production shutdowns and baseline-separated chromatography. Applied to real cases, HSLs profiling identified contamination and malfunctions with six true-positive and six true-negative classifications.
Conclusion
HSL-targeted LC/MS/MS offers a practical, rapid, and sensitive tool for detecting leaks, biofilms, and hidden microbial activity in complex industrial water matrices. The approach enables earlier risk management, reduced downtime, and routine monitoring in milk-processing facilities.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Institutions of the University:	Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Metabolome > Chair Food Metabolome - Univ.-Prof. Dr. Susanne Baldermann
Result of work at the UBT:	Yes
DDC Subjects:	500 Science > 500 Natural sciences 500 Science > 540 Chemistry
Date Deposited:	11 Jun 2026 05:10
Last Modified:	11 Jun 2026 05:10
URI:	https://eref.uni-bayreuth.de/id/eprint/97911