Quest of Intelligent Research Tools for Rapid Evaluation of Fish Quality: FTIR Spectroscopy and Multispectral Imaging Versus Microbiological Analysis
Open Access
Abstract
The aim of the present study was to assess the microbiological quality of farmed sea bass (Dicentrarchus labrax) fillets stored under aerobic conditions and modified atmosphere packaging (MAP) (31% CO2, 23% O2, 46% Ν2,) at 0, 4, 8, and 12 °C using Fourier transform infrared (FTIR) spectroscopy and multispectral imaging (MSI) in tandem with data analytics, taking into account the results of conventional microbiological analysis. Fish samples were subjected to microbiological analysis (total viable counts (TVC), Pseudomonas spp., H2S producing bacteria, Brochothrix thermosphacta, lactic acid bacteria (LAB), Enterobacteriaceae, and yeasts) and sensory evaluation, together with FTIR and MSI spectral data acquisition. Pseudomonas spp. and H2S-producing bacteria were enumerated at higher population levels compared to other microorganisms, regardless of storage temperature and packaging condition. The developed partial least squares regression (PLS-R) models based on the FTIR spectra of fish stored aerobically and under MAP exhibited satisfactory performance in the estimation of TVC, with coefficients of determination (R2) at 0.78 and 0.99, respectively. In contrast, the performances of PLS-R models based on MSI spectral data were less accurate, with R2 values of 0.44 and 0.62 for fish samples stored aerobically and under MAP, respectively. FTIR spectroscopy is a promising tool to assess the microbiological quality of sea bass fillets stored in air and under MAP that could be effectively employed in the future as an alternative method to conventional microbiological analysis.Keywords
Funding Information
- Ministry of Agricultyure of Greece (MIS)
This publication has 31 references indexed in Scilit:
- Hyperspectral and multispectral imaging for evaluating food safety and qualityJournal of Food Engineering, 2013
- A comparison of Raman and FT-IR spectroscopy for the prediction of meat spoilageFood Control, 2013
- Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regressionInnovative Food Science & Emerging Technologies, 2012
- Contribution of Fourier transform infrared (FTIR) spectroscopy data on the quantitative determination of minced pork meat spoilageFood Research International, 2011
- Diversity of Shewanella population in fish Sparus aurata harvested in the Aegean SeaJournal of Applied Microbiology, 2007
- Characterization ofPseudomonasspp. Associated with Spoilage of Gilt-Head Sea Bream Stored under Various ConditionsApplied and Environmental Microbiology, 2002
- Applicability of an Arrhenius Model for the Combined Effect of Temperature and CO 2 Packaging on the Spoilage Microflora of FishApplied and Environmental Microbiology, 2000
- Microbiological spoilage of fish and fish productsInternational Journal of Food Microbiology, 1996
- A dynamic approach to predicting bacterial growth in foodInternational Journal of Food Microbiology, 1994
- Detection of specific spoilage bacteria from fish stored at low (0°C) and high (20°C) temperaturesInternational Journal of Food Microbiology, 1987