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Non-Contact, Real-Time Laser-Induced Fluorescence Detection and Monitoring of Microbial Contaminants on Solid Surfaces Before, During and After Decontamination

Published on 13 October 2025
This research article presents a new device, the BC-Sense, which allows a rapid and user-friendly RTDM of microbial contamination on various surfaces.
Research papers

Non-Contact, Real-Time Laser-Induced Fluorescence Detection and Monitoring of Microbial Contaminants on Solid Surfaces Before, During and After Decontamination

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Author details
Babichenko, S. (1); Bentahir, M. (2); Piette, A.S. (2); Poryvkina, L. (1); Rebane, O. (1); Smits, B. (2); Sobolev, I. (1); Soboleva, N. (1); Gala, J.L. (2)*

(1) LDI Innovation OU, Osmussaare 8, Tallinn, Estonia
(2) Center for Applied Molecular Technologies, Institute of Clinical and Experimental Research, Université catholique de Louvain, Tour Claude Bernard, Brussels, Belgium
Unique identifier
10.4172/2155-6210.1000255

A real-time detection and monitoring (RTDM) of microbial contamination on solid surfaces is mandatory in a range of security, safety and bio-medical applications where surfaces are exposed to accidental, natural or intentional microbial contamination. This research article presents a new device, the BC-Sense, which allows a rapid and user-friendly RTDM of microbial contamination on various surfaces while assessing the decontamination kinetics and degree of cleanliness.

The BC-Sense LIDAR (Light Detection and Ranging) device uses the Laser-Induced Fluorescence (LIF) method based on dual wavelength sensing with multispectral pattern recognition system to rapidly detect microbial contamination on a solid surface. Microbial simulants (bacteria, bacterial spores, fungal conidia and virus) were spread at varying concentrations on a panel of solid surfaces which were assessed by BC-Sense. The spectra of dead and living E. coli showed differences at various sensing wavelengths. The limit of detection (LoD) of E. coli and MS2 virus was 2.9 × 104 and 9.5 × 104 CFU and PFU/cm2, respectively. Random samples (n=200) tested against a training dataset (n=800) were optimally discriminated for contamination versus background with a threshold of predicted response (PR) >0.55 and <0.4, respectively.

Decontamination kinetics on copper surface showed a complete disappearance of fluorescence in 1 min with MS2 versus >10 min with spores and E. coli.

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Hazard types

Biological

DRM Phases

Preparedness Prevention

Geographic focus

all Europe/EU

Sectors

Health Risk reduction & assessment

Risk drivers

Climate change Environmental degradation Technological developments Urbanisation