Development and Application of On-line System for Wheat Flour Quality Detection by Near Infrared Spectroscopy
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
In this work, an on-line detection system for flour quality testing was developed by near infrared spectroscopy. C++Builder 6.0 was applied for secondary development of NIR 1.7/S micro spectrometer based on hardware platform. A custom software with functions such as spectral acquisition, flour quality prediction, model update and data storage was also wrote. A total of 170 wheat flour samples collected from the market were subjected to NIR analysis and water content was chosen as the representative index for wheat flour quality. Different spectral pretreatment methods were tried and the spectra without any treatment combined with partial least square (PLS) regression obtained the best performance. The determination coefficient (R2) of calibration and prediction obtained were 0.947 and 0.841, respectively. The root mean square error (RMSE) of calibration and prediction as well as RPD value were 0.146%, 0.198% and 2.53, respectively. The established model was then imported into the software, and 30 samples were used for external validation. Results indicated that determination coefficient (R2) between the predicted value and the reference value was 0.883, and the RMSE was 0.206%. In conclusion, the prediction of the moisture of wheat flour by this on-line system is feasible, which can provide a technical reference for the application of on-line NIR spectroscopy technique.
