近红外光谱技术对鲜切哈密瓜品质检测的研究

Study on Quality Detection of Fresh Cut Hami Melon by Near Infrared Spectroscopy

近红外光谱技术具有快速高效的检测特点,采用该技术对鲜切哈密瓜的VC含量和SSC含量进行快速检测研究。结果表明,鲜切哈密瓜VC含量检测模型RMSECV=0.075 2,R^2=99.12;RMSEP=0.041 4,R^2=99.71;SSC含量检测模型RMSECV=0.167,R^2=98.60;RMSEP=0.11,R^2=99.50。所以,近红外光谱技术能实现对鲜切哈密瓜品质的快速检测。

Near infrared spectroscopy technology has the characteristics of rapid and efficient detection. Therefore,the technology was used to detect the content of VC and SSC in fresh cut cantaloupe. The results showed that the VC content detection model of fresh cut cantaloupe was RMSECV=0.075 2,R^2=99.12,RMSEP=0.041 4,R^2=99.71. SSC content detection model RMSECV=0.167,R^2=98.60,RMSEP=0.11,R^2=99.50. Therefore,near infrared spectroscopy can be used to detect the quality of fresh cut cantaloupe.