| 摘要: |
| 【目的】应用近红外漫反射光谱技术无损检测梨果的糖度和pH值。【方法】 采集完整梨果的近红外漫反射光谱（350~1 800 nm）,光谱经移动窗口平滑处理、一阶微分和多元散射校正预处理后，再分别采用多元线性回归、主成分回归和偏最小二乘法，建立梨果糖度和pH值的定量预测数学模型。【结果】 采用一阶微分结合偏最小二乘法所建模型的预测效果较好，糖度和pH值定量预测数学模型的相关系数分别为0.928 5和0.858 4,均方根误差分别为0.436 4和0.120 5。【结论】 近红外漫反射光谱作为一种无损的检测方法，可用于评价梨果的糖度和pH值。 |
| 关键词: 近红外漫反射光谱 糖度 pH值 梨 |
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| 基金项目:国家科技支撑计划项目(2008BAD96B04)；国家自然科学基金项目(30560064)；江西省科技支撑计划项目(2009BHC00300);江西省青年科学基金项目(2009GQS0012)；江西省教育厅青年科学基金项目（GJJ09139） |
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| Study on nondestructive detecting sugar content and pH value of pear by using near infrared diffuse reflectance Spectroscopy |
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| Abstract: |
| 【Objective】 The objectives of the study were to predict sugar content and pH value of pear fruit by using the near infrared diffuse reflectance(NIR) spectra.【Method】 After three point windows moving smooth treatment,the first derivative D1log(1/R) and multivariant scattering correction were used to preprocess the primitive spectrum (350-1 800 nm) of pear fruit respectively.Multi linear regression (MLR),principal component regression(PCR) and partial least square (PLS) regression were taken to build prediction models which were used to quantitatively analyze sugar content and pH value of pear fruit respectively.【Result】 The PLS model with D1log(1/R) data treatment is prior to the other two ways based on the comparative analysis.The results show that the correlation coefficients of sugar and pH value are 0.928 5 and 0.858 4 respectively, and root mean standard error of sugar and pH is 0.436 4 and 0.120 5 respectively.【Conclusion】 The research indicates that NIR spectroscopy could provide an accurate,reliable and nondestructive method for assessing the internal quality index sugar content and pH value of pear fruit. |
| Key words: Near-infrared diffuse reflectance spectroscopy sugar content pH pear |
