Abstract

The objective of this study was to explore the feasibility of near infrared (NIR) spectra calibration model transfer techniques in quantitative analysis of fish meal mixed with soybean meal. One dispersive NIR instrument (Foss 6500) and one Fourier transform (FT) instrument (Nicolet Antaris) were used in this study. The effect of slope/bias correction, local centring, direct standardisation (DS) and piece-wise direct standardisation (PDS) on calibration transfer were studied. When the calibration model based on the Foss 6500 was used directly for the spectra scanned on Nicolet Antaris, it produced unsatisfactory prediction with the RMSEP= 10.81% and bias=-9.73%. However, the predictions were greatly improved after the calibration transfer based on slope/bias correction (RMSEP=3.19%, bias=0.64.%), local centring (RMSEP=2.91%, bias=0.50%), DS(RMSEP=3.06%, bias=1.26%) and PDS (RMSEP=2.54%, bias=0.77%) with the validation set V_NI. In order to test the transferability of the four calibration transfer technologies, another independent external validation set (V_EI) was used to test the transferability of the four calibration transfer technologies. Similar results were obtained with the prediction (RMSEP=2.71%, bias=0.64%) for PDS, followed by local centring method (RMSEP=2.98%, bias=0.52%), DS method (RMSEP=3.18%, bias=0.96%) and slope/bias correction (RMSEP=3.24%, bias=0.60%). These findings demonstrated that calibration model transfer technology may be an appropriate tool to quantitatively analyse fish meal mixed with soybean meal.

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