...
首页> 外文期刊>配管·装置·プラント技術 >Optical methods for quality evaluation of fruits (part 2) -- prediction of individual sugars and malic acid concentrations of apples and mangoes by the developed NIR reflectance system
【24h】

Optical methods for quality evaluation of fruits (part 2) -- prediction of individual sugars and malic acid concentrations of apples and mangoes by the developed NIR reflectance system

机译:水果质量评估的光学方法(第2部分)-通过已开发的NIR反射系统预测苹果和芒果中单个糖和苹果酸的浓度

获取原文
获取原文并翻译 | 示例
           

摘要

The near infrared reflectance system for on-line quality inspection of fruits was developed and examined to predict individual sugars and malic acid concentrations of cylindrical samples of the flesh of Golden Delicious applies and intact mangoes. Two kinds of multiple linear regression methods were examined to calibrate the log(1/R) values in wavelengths from 1400 to 2000nm with individual sugars and malic acid concentration determined by a chromatography procedure. A set of calibration equationsdeveloped by using stepwise multiple linear regression was found to be applicable for predicting the individual sugar and malic acid of the tested fruits. The correlation coefficients of the relationships between actual values and predicted values weremore than 0.9 with standard error predictions less than 0.44%.
机译:开发并检查了用于水果质量在线检测的近红外反射系统,以预测Golden Delicious适用和完整芒果果肉圆柱状样品中的单个糖和苹果酸浓度。检查了两种多元线性回归方法,以用色谱法测定的单个糖和苹果酸浓度校准从1400到2000nm波长的log(1 / R)值。发现使用逐步多元线性回归开发的一组校准方程可用于预测测试水果的单个糖和苹果酸。实际值与预测值之间的关系的相关系数大于0.9,标准误差预测小于0.44%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号