水果糖度近红外光谱在线检测装置  

Equipment of Online Detection for Sugar Content in Fruit Based on Near Infrared Spectroscopy

作　　者：孙旭东[1] 龚志远[1] 蔡丽君[1] 高荣杰[1] 刘燕德[1] 

机构地区：[1]华东交通大学机电工程学院,南昌市330013

出　　处：《中国农机化》2012年第2期116-120,共5页Chinese Agricul Tural Mechanization

基　　金：国家科技支撑计划(2008BAD96B04);江西省对外科技合作计划(2009BHB15200);江西省主要学科学术和技术带头人培养对象计划(2009DD00700);华东交通大学研究生创新基金资助(YC10C004)

摘　　要：采用短波近红外光谱仪，进行机械传送、光谱采集处理、自动控制等系统的设计和集成．研制水果糖度近红外光谱在线检测装置。在550-850nm范围，采用偏最小二乘法，建立了苹果糖度近红外光谱在线检测数学模型。经比较，标准正交校正和一阶导数处理后的光谱建立的数学模型预测效果最优，模型的相关系数为0．78．模型预测均方根误差为0．67°Brix。实验表明：水果糖度近红外光谱在线检测装置可准确地检测苹果糖度含量。The short-wave near infrared spectrometry was applied to development the online detection equipment of near infrared （NIR） spectroscopy for sugar content in fruits, including mechanical conveyor system, spectrum acquisition and processing system and automatic control system. The online detection models were developed by partial least squares （PLS） in the range of 550-850nm. By comparison, the predictive performance of the model was the best that developed with standard normal variable and first derivative spectra. The correlation coefficient （rp） of predictive mode was 0.78, and the root mean square error of prediction （RMSEP） was 0.67°Brix. The experiment showed the sugar content in apples could be detected precisely by the online NIR equipment for the fruit sugar content.

关 键 词：近红外 在线检测 苹果 糖度 

分 类 号：O657.3[理学—分析化学] S123[理学—化学]