[A basic research to share Fourier transform near-infrared spectrum information resource]

Area of Science:

• Agricultural Science
• Analytical Chemistry
• Spectroscopy

Context:

• Fourier Transform Near-Infrared (FTNIR) spectroscopy is crucial for agricultural product analysis.
• Sharing spectral data across different instruments is challenging due to instrument variability.
• Existing methods often require extensive recalibration or new standard samples for each instrument.

Purpose:

• To develop a method for mapping FTNIR spectral information between different instruments.
• To enable accurate quantitative analysis of agricultural products using shared spectral data.
• To establish a mathematical model for quantitative analysis that minimizes the need for standard samples.

Summary:

• A novel method was developed to map FTNIR spectral information from one instrument to another, ensuring accurate data expression.
• This mapping technique was used to create a quantitative analysis model for wheat protein content, achieving a relative coefficient (r) of 0.941 and a relative error of 3.28% without standard samples.
• A comparative model using standard samples yielded r=0.963 and 2.4% error, demonstrating the effectiveness of the instrument-independent mapping method.

Impact:

• Facilitates the sharing of valuable FTNIR spectral data across diverse instruments, maximizing resource utilization.
• Reduces the cost and effort associated with quantitative analysis by minimizing the need for instrument-specific standard samples.
• Enhances the accuracy and reliability of FTNIR-based quantitative analysis in the agricultural sector.