ABSTRACT: Objective To establish a rapid and nondestructive method for the prediction of beta carotene in carrots, a Raman point scanning system which was built by the laboratory was used, and the fresh carrots were taken as the research objects. Methods Point scan was carried out at 1 cm in the length direction of the each carrot. Raman spectra of point scanning were first used Savizky-Golay 5 point smoothing method to remove noise and then used Baseline method to remove the fluorescence background. Finally, the average of all the spectra of each sample was used to represent the sample. The physical and chemical values of beta carotene in carrot were determined by the national standard method GB/T 5009.83-2003. A multivariate linear regression model was established by using the physical and chemical values of the Raman characteristic peaks of 1521 cm-1 and 1156 cm-1. Results The correlation coefficients (RC) and root mean square error (RMSEC) of the model calibration set were 0.9249 and 12.04 mg/kg respectively. The correlation coefficient (RP) and root mean square error (RMSEP) of the validation set were 0.9155 and 11.47 mg/kg respectively. Conclusion Result shows that the detection of beta carotene content in fresh carrots can be realized by Raman spectroscopy, which provides technical support for the quantitative detection of beta carotene content in fresh fruits and vegetables.
标题：基于拉曼光谱的胡萝卜中β-胡萝卜素的快速无损检测
英文标题：Rapid nondestructive detection of beta carotene in carrots based on Raman spectroscopy
