[Research on development and experiment of NIR wheat quality quick detection system].

Area of Science:

• Agricultural Engineering
• Spectroscopy
• Data Analysis

Context:

• Rapid and non-destructive detection of wheat quality is crucial for the agricultural industry.
• Existing methods may be time-consuming or destructive, limiting real-time quality assessment.
• Near-Infrared (NIR) spectroscopy offers a promising alternative for rapid analysis.

Purpose:

• To develop and validate a novel Near-Infrared (NIR) wheat quality quick detection system based on grating technology.
• To evaluate the accuracy, repeatability, and stability of the developed system.
• To compare the performance of the developed system against a benchmark instrument (Bruker MPA spectroscopy).

Summary:

• A grating-based NIR system was developed for rapid, non-destructive wheat quality detection.
• Partial Least Squares (PLS) calibration models were built and validated using 56 wheat samples.
• The self-made system showed strong performance with high coefficients of determination (R2) and low errors (RMSECV, RMSEP), comparable to the Bruker MPA spectroscopy.

Impact:

• The developed NIR system provides a reliable and efficient tool for real-time wheat quality assessment.
• The findings support the use of grating-based NIR technology for agricultural product analysis.
• Improved wheat quality management can be achieved through rapid and accurate detection methods.