Scattering-based detection of fungal spores on a photonic integrated platform: an ASCA-assisted proof-of-concept study
Abstract
Airborne fungal pathogens, such as Penicillium expansum, pose a severe threat to post-harvest crop preservation and food safety, demanding rapid and reliable detection methods. This study presents a photonic integrated sensing platform, based on Ge-Se-Te RIB optical waveguides, as a proof-of-concept for the discrimination of fungal spores under controlled laboratory conditions in the short-wave infrared (SWIR) range. To evaluate the performance of the sensor over a comprehensive 45-day experimental campaign, Finite Element Method (FEM) simulations were combined with advanced chemometric analysis. FEM modeling confirmed the evanescent field interaction with micrometer-sized spores on the waveguide surface. To extract the subtle biological signal resulting from high-density spore deposition from dominant system drifts and environmental noise, ANOVA-Simultaneous Component Analysis (ASCA) was applied to the multidimensional spectral data. ASCA successfully isolated the specific variance related to spore deposition, even though it accounted for only 0.2% of the global variance. These results highlight the potential of combining chalcogenide waveguide technologies with ASCA-driven analytics for scattering-based, label-free bio-sensing applications, paving the way toward future quantitative and species-selective developments in the mid-wave infrared (MWIR).
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BibTeX
@article{khouri2026scatteringbased,
title = {{Scattering-based detection of fungal spores on a photonic integrated platform: an ASCA-assisted proof-of-concept study}},
author = {Martin Khouri and Daphné Héran and Raphaël Escalier and Raphaël Kribich and Mikhaël Myara and Claire Pascouau and Dominique Barry-Etienne and Caroline Vigreux and Ryad Bendoula},
journal = {Journal of the European Optical Society : Rapid publications},
year = {2026},
month = oct,
doi = {10.1051/jeos/2026070},
url = {https://hal.science/hal-05826072v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - Scattering-based detection of fungal spores on a photonic integrated platform: an ASCA-assisted proof-of-concept study
AU - Martin Khouri
AU - Daphné Héran
AU - Raphaël Escalier
AU - Raphaël Kribich
AU - Mikhaël Myara
AU - Claire Pascouau
AU - Dominique Barry-Etienne
AU - Caroline Vigreux
AU - Ryad Bendoula
PY - 2026
DA - 2026/10/19
JO - Journal of the European Optical Society : Rapid publications
DO - 10.1051/jeos/2026070
UR - https://hal.science/hal-05826072v1
AB - Airborne fungal pathogens, such as Penicillium expansum, pose a severe threat to post-harvest crop preservation and food safety, demanding rapid and reliable detection methods. This study presents a photonic integrated sensing platform, based on Ge-Se-Te RIB optical waveguides, as a proof-of-concept for the discrimination of fungal spores under controlled laboratory conditions in the short-wave infrared (SWIR) range. To evaluate the performance of the sensor over a comprehensive 45-day experimental campaign, Finite Element Method (FEM) simulations were combined with advanced chemometric analysis. FEM modeling confirmed the evanescent field interaction with micrometer-sized spores on the waveguide surface. To extract the subtle biological signal resulting from high-density spore deposition from dominant system drifts and environmental noise, ANOVA-Simultaneous Component Analysis (ASCA) was applied to the multidimensional spectral data. ASCA successfully isolated the specific variance related to spore deposition, even though it accounted for only 0.2% of the global variance. These results highlight the potential of combining chalcogenide waveguide technologies with ASCA-driven analytics for scattering-based, label-free bio-sensing applications, paving the way toward future quantitative and species-selective developments in the mid-wave infrared (MWIR).
SN - 1990-2573
ER -