Applied Microbiology and Biotechnology· 2026Q1
Distinction between Listeria species and L. monocytogenes serotypes with a handheld, VNIR hyperspectral imaging camera
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- Q1SCImago
- 2026year
Short summary
A handheld VNIR hyperspectral camera achieved 74.5% accuracy distinguishing Listeria species and ~90% accuracy differentiating L. monocytogenes serotypes 1/2a and 4b, demonstrating potential for rapid, non-destructive pathogen identification.
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Key points
- A portable VNIR hyperspectral imaging camera was used to differentiate Listeria species and serotypes on agar plates.
- A four-class model achieved 74.5% overall validation accuracy for distinguishing L. monocytogenes (1/2a, 4b), L. ivanovii, and L. innocua.
- Species-level discrimination accuracy varied, with L. monocytogenes 4b at 95.2% and L. innocua at 68.0%.
- A two-class model achieved approximately 90% accuracy for differentiating L. monocytogenes serotypes 1/2a and 4b.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract A handheld, visible near-infrared (VNIR) hyperspectral imaging (HSI) camera was used to differentiate between Listeria species ( L. monocytogenes , L. ivanovii and L. innocua ) and two L. monocytogenes serotypes: 1/2a and 4b. The results indicated that portable HSI cameras could effectively be used for pathogen detection and distinction applications, despite lower spectral resolution and higher sensitivity to noise when compared to benchtop CCD-based instruments. Five hundred and fifty-five hyperspectral images were collected from pure cultures on agar plates throughout seven sampling campaigns. Sixty-five percent of samples/isolates ( n =± 90 samples per class) were used to train Partial Least Squares Discriminant Analysis (PLS-DA) models and 35% of samples ( n =± 50 samples per class) were used for validation. An overall classification accuracy (validation) of 74.5% was achieved for species-level discrimination through a four-class model ( L. monocytogenes 1/2a, L. monocytogenes 4b, L. ivanovii and L. innocua ), which demonstrates moderate performance within the VNIR range. However, Species-level performance was uneven across classes, with lower validation accuracies for L. innocua (68.0%) and L. ivanovii (63.0%) compared to L. monocytogenes 1/2a (71.8%) and 4b (95.2%). In contrast, a two-class model achieved ~ 90% accuracy for serotype-level discrimination between L. monocytogenes serotypes 1/2a and 4b. This highlights a novel use of portable VNIR cameras as a rapid, non-destructive serotyping aid. Variable Importance in Projection (VIP) score plots were used to characterise valuable wavelengths in the visible range that were significant for discriminant analysis, for example, 690 nm was significant for the classification of L. innocua , whilst 871 nm was associated with L. ivanovii. Notably, all the significant absorption regions used to differentiate between the L. monocytogenes serotypes were in the visible range (480–525 nm, 540–560 nm, 610 nm and 690 nm) despite the colony morphology being virtually identical for these organisms on brain heart infusion agar. Key points • A portable HSI camera was used to distinguish between Listeria colonies on agar • PLS-DA accuracy of 74.5% was obtained for classification between Listeria species • PLS-DA accuracy of 90% obtained for classification between L. monocytogenes serotypes
The authors' abstract, as published at the source. Applied Microbiology and Biotechnology, 2026 · DOI ↗
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Field: Analytical Chemistry
Analytical ChemistryChemistry