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可见光光谱检测赣南脐橙糖度的研究
  • 期刊名称:光谱学与光谱分析,2007,27(3):569-572, IF=0.666
  • 时间:0
  • 分类:O433.5[机械工程—光学工程;理学—光学;理学—物理]
  • 作者机构:[1]江西农业大学工学院,江西南昌330045, [2]浙江大学生物系统工程与食品科学学院,浙江杭州310029
  • 相关基金:国家自然科学基金项目(60468002,30560064)资助
  • 相关项目:基于近红外光谱技术的南丰蜜桔品质无损检测机理与模型研究
中文摘要:

利用透射光谱测定法获取赣南脐橙的可见光光谱(400-800nm),采用多种校正算法,选取不同的波段范围对透射光谱进行有效信息提取和分析,对比研究了不同因子数时不同校正方法进行糖度快速检测的影响,确定了最佳参比、最佳的波段范围、最佳光谱处理方法和用于快速检测分析的最佳校正方法。实验结果表明:偏最小二乘法校正模型的预测精度在450-770nm波段范围内,因子数为7时其糖度的预测精度最好,其预测集的相关系数达到了0.857,预测标准偏差为0.562。

英文摘要:

The feasibility of visible spectroscopic technology for rapid quantifying sugar content (SC) of navel orange fresh juices was investigated by means of spectral transmittance technique. A total of 55 juice samples were used to develop the calibration and prediction models. Calibration models based on different spectral ranges and different spectral pretreatment were compared in the precent research. Performance of different models was investigated in terms of root mean square errors of prediction (RMSEP) and correlation coefficient (r) of validation set of samples. The correlation coefficient of calibration model for SC was 0. 965, the correlation coefficient of prediction model for SC was 0. 857, and the corresponding RMSEP was 0. 562. The results show that visible transmittance technique is a feasible method for non-invasive estimation of fruit juice SC.

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