Application of Near Infrared Spectroscopy to Predict Crude Protein in Shrimp Feed

Abstract

The preliminary study of using near infrared spectroscopy (NIRS) to predict crude protein in shrimp feed was carried out. The calibration set of 41 shrimp feed samples was laboratorily prepared against the validation set of 39 samples with similar distribution for the chemical content. The samples were scanned for the NIR spectra in the wavelength region of 1100 nm to 2500 nm. Both multiple linear regression (MLR) and partial least square regression (PLS) were performed to analyze data to create the best calibration equations. The results indicated that absorbances at wavelengths of 1686 nm, 1778 nm and 2486 nm were related with protein in the samples. At 1686 nm the absorbance was found to coincide with that of protein analytically found the most in the prepared shrimp feed. Following the use of wavelengths selected in MLR for constraining the wavelength region as input to PLS, the calibration equations were shown to improve in prediction accuracy.