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投稿时间：2018-10-22
投稿时间：2018-10-22
中文摘要: 采用近红外光谱分析技术获取桔子精油的光谱信息，结合偏最小二乘法（partial least square，PLS）回归分析提取光谱信息中的差异，通过化学计量学将光谱信息差异与对应的柠檬烯测定值关联，建立桔子精油中柠檬烯含量的近红外定量分析模型。模型的校正相关系数RC 为0.997 7，校正均方差为0.412；预测相关系数RP 为0.998 2，预测均方差为0.396；交互验证相关系数RV 为0.994 0，交互验证均方差为0.662；模型的性能指数为94.7。模型近红外光谱（near infrared spectroscopy，NIR）预测值与标准值之间的误差在-0.8%～1.2%之间。模型有良好的预测能力及稳定性。
Abstract:The spectral information of orange essential oil was obtained by near infrared spectroscopy，and the spectral information was extracted by partial least squares （PLS）regression analysis.The spectral information difference was correlated with the corresponding limonene measurement value by chemometrics，A calibration model of limonene content in orange essential oil by near infrared spectroscopy was established.The corrected correlation coefficient RC of the model was 0.997 7，the corrected mean square error was 0.412；the predicted correlation coefficient RP was 0.998 2，the predicted mean square error was 0.396；the cross-validation correlation coefficient RV was 0.994 0，and the cross-validation mean square error was 0.662；the performance index of the model was 94.7.The error between the model near infrared spectroscopy（NIR）predicted value and the standard value was between-0.8%and 1.2%.The model has good predictive power and stability.
文章编号：201918031 中图分类号： 文献标志码：
基金项目:浙江省食品药品监督管理局2018年度科技计划项目（201802、201811）；宁波市泛3315 创新团队（2018B-18-C）；宁波市高新精英创新团队（甬高科[2018]63 号）；宁波市现代服务业项目（2019F1017）；宁波市自然科学基金项目（2018A610223、2018A610336）
| Author Name | Affiliation |
| CHEN Zi-yun，PENG Meng-xia，RUAN Yun-dan | School of Chemistry and Environment，Jiaying University，Meizhou 514015，Guangzhou，China |
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