Identification of microorganisms by Raman spectroscopy for the development of new biosensors in the food industry

International audienc

Raman microspectroscopy and chemometrics: a combined approach to perform a rapid untargeted screening of bacteria present in food samples

International audienc

Raman microspectroscopy and chemometrics: a combined approach to perform a rapid untargeted screening of bacteria present in food samples

International audienc

Common components and specific weights analysis: a tool for metabolomic data pre-processing

The metabolomic approach using LC-MS analyses suffers from substantial intensity variability which must becorrected before extracting useful biological information. In this paper, Common Components and SpecificWeights Analysis (CCSWA) is proposed as a novel method for the correction of this analytical bias. This methodwas compared to LOESS normalisation for within-batch correction and to the median of the quality controls forbetween-batch correction.In the firstcase, thecorrection of anon-continuous effectinthe batch wasinvestigatedusing both LOESS signal correction and CCSWA on fish samples. In the second case, four batches were analysedand combined to create a larger cohort of honey samples. CCSWA was successfully applied to correct bothwithin- and between-batch effects observed in the LC-MS signals

Identification of microorganisms by Raman spectroscopy for the development of new biosensors in the food industry

International audienc

Raman microspectroscopy and chemometrics: a combined approach to perform a rapid untargeted screening of bacteria present in food samples

International audienc

Raman microspectroscopy and chemometrics: a combined approach to perform a rapid untargeted screening of bacteria present in food samples.

International audienc

Ultrafast Multiplexed-Allergen Detection through Advanced Fluidic Design and Monolithic Interferometric Silicon Chips

A silicon-based miniaturized sensor chip combined with an advanced microfluidic module for the simultaneous, label-free immunochemical determination of four allergens, bovine milk protein, peanut protein, soy protein, and gliadin, is presented. The sensor chip consists of an array of 10 broad-band Mach-Zehnder interferometers (BB-MZIs) monolithically integrated on silicon, along with their respective broad-band light sources. The BB-MZIs were biofunctionalized with the targeted allergens and their responses during immunoreaction were monitored by multiplexing their transmission spectra through an external miniaturized spectrometer. The assay is performed by running mixtures of calibrators or samples with the antibodies against the four allergens followed by an antispecies specific antibodies solution. Employing a fluidic module of nearly one-dimensional geometry, that provided for uniform delivery of the reagents, CV values <6% were achieved for the responses of the 10 BB-MZIs, allowing for reliable multianalyte determinations. The analysis is completed in 6.5 min, and the detection limits were 0.04 μg/mL for bovine k-casein, 1.0 μg/mL for peanut protein, 0.80 μg/mL for soy protein, and 0.10 μg/mL for gliadin. The assays were accurate (recoveries 88-118%) and repeatable (intra- and interassay CVs <7% for all four allergens). Finally, the sensor was evaluated by analyzing samples from a cleaning in place system (CIP) of a dairy industry and the results obtained were in good agreement with those received by the respective ELISAs. The analytical characteristics of the sensor combined with the short analysis time and the small chip size make the proposed system an ideal tool for on-site multianalyte determinations