Evaluation of near infrared hyperspectral imaging for detection of tuna powder contaminated with shrimp powder

Abstract

Near-infrared hyperspectral imaging (NIR-HSI) was investigated to detect the contamination of shrimp powder (SP) in tuna powder (TP) with partial least squares regression (PLSR) model. The principal component analysis was performed with NIR-HSI data for classification of tuna and shrimp powder. Samples for NIR-HSI data analysis were prepared using tuna powder contaminated with shrimp powder in concentration of 0%, 0.01%, 0.05%, 0.1%, 0.5%, 1%, 5%, 10%, 25%, 50%, 75% and 100% (w/w). The NIR-HIS in a wavelength range 864.5 to 1695.1 nm of the samples were used to create a prediction model using a partial least squares regression (PLSR) model. The result showed that the best model was based on spectra pretreated wit second derivative combined with standard normal variate pretreatments, The performance of the prediction was expressed with the following values; factor = 3, Rc2 = 0.989, RMSEC = 3.48%, Rcv2 = 0.984, RMSECV = 4.218%, Rp2 = 0.991, RMSEP = 3.110%. The regression coefficients of the PLSR model from 2D+SNV spectral pre-treatments were used to identify functional groups from the chemical composition of each sample. The study demonstrated that the NIR-HSI can be used for quantitative analysis of TP contaminated with SP which rapid nondestruction technique.