Abstract:

At present, the detection of honey quality is mainly based on chemical methods. However, chemical analysis has drawbacks such as long cycles and the need for a large number of organic reagents. Therefore, this study aims to establish a rapid method for determining the quality of honey. Firstly, 546 honey samples mixed with 0%-90% fructose syrup were used as materials, and a mid-infrared spectroscopy model for glucose and fructose content in honey was established based on Fourier transform mid-infrared spectroscopy (FTIR) combined with partial least squares (PLS) to quickly analyze honey quality. The results showed that under the standard normal variable (SNV) preprocessing method, the glucose and fructose index models in honey constructed at a wave number of 800-1 200 cm^-1 had the best performance. The correlation coefficient (r), the root mean square error of calibration (RMSEC), the root mean square error of prediction (RMSEP), and the average relative error of the glucose index model were 0.991 6、0.91、0.94 and 0.89%, respectively; The r, RMSEC, RMSEP, and average relative errors of the fructose index model were 0.993 5、1.03、0.99 and 1.51%, respectively. The feasibility of the established method is demonstrated, which is significant for effectively replacing traditional chemical methods, significantly reducing the expensive analysis costs of conventional analysis, improving operator health, and reducing environmental pollution.

Key words: honey, quality, Fourier transform mid-infrared spectroscopy(FTIR), partial least squares(PLS)