Title
Development of rapid method to assess microbial quality ofminimally processed pomegranate arils using FTIR
Author
Vanshika Adiania, Sumit Gupt, Rupali Ambolikar, Prasad S. Variyara∗
Year
2018
Journal
Sensors and Actuators B: Chemical
Abstract
Fourier transform infrared spectroscopy (FTIR) spectra were correlated with microbial quality of min-imally processed pomegranate (Punica granatum) arils stored at 10◦C using chemometrics. FTIR dataprocessed in three ways i.e. FTIR spectrum, first derivative for FTIR spectrum and peak integrated data ofFTIR spectrum was used as independent variables for preparing regression models by partial Least SquareRegression (PLS-R) and artificial neural networks (ANN) for predicting the total viable count (TVC) andyeast and mold count (Y&M). Models built with both ANN and PLS-R using FTIR data demonstrated a highcorrelation value of R2> 0.85. Analysis of PLS-R results suggested the production of alcohols and acids withutilization of sugars during storage. This is a first report demonstrating use of FTIR as a nondestructiverapid method for microbial quality analysis of minimally processed fruits.
Instrument
FTIR-4100
Keywords
Fourier transform infrared spectroscopy, FTIR, Microbial quality, Pomegranate, Partial least square regression, Artificial neural networks