| 近红外光谱技术定量分析连作滁菊土壤中的阿魏酸含量 |
| |
| 引用本文： | 谢越,周成,涂从,张祖亮,汪建飞. 近红外光谱技术定量分析连作滁菊土壤中的阿魏酸含量[J]. 分析化学, 2017, 45(3). DOI: 10.11895/j.issn.0253-3820.160773 |
| |
| 作者姓名： | 谢越 周成 涂从 张祖亮 汪建飞 |
| |
| 作者单位： | 1. 安徽科技学院资源与环境学院,凤阳233100;Department of Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA;2. 安徽科技学院生命科学学院,凤阳,233100;3. Department of Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA;4. 六安市食品药品检验中心,六安,237009;5. 安徽科技学院资源与环境学院,凤阳,233100 |
| |
| 基金项目： | 国家自然科学基金项目，安徽省自然科学基金项目，安徽省高校自然科学研究项目，农业部生物有机肥创制重点实验室开放课题，2016 年高校中青年骨干人才重点项目(No. gxfxZD2016182)资助 This work was supported by the National Natural Science Foundation of China，the Natural Science Foundation of Anhui Province |
| |
| 摘 要： | 应用近红外光谱(NIRS)技术定量分析连作滁菊土壤样品中阿魏酸的含量.通过标准杠杆值、学生残差和马氏距离判断异常光谱,经二阶导数和Norris平滑滤噪预处理后,在6000~4000 cm-1范围,最佳因子数为7,采用偏最小二乘法(PLS)构建数学模型.结果表明,模型校正集和验证集与高效液相色谱仪(HPLC)测定的参考值之间均呈现良好相关关系,校正相关系数Rc为0.9914,交叉验证相关系数Rcv为0.9935,校正集误差均方根(RMSEC)为0.484,预测误差均方根(RMSEP)为0.539,交叉验证误差均方根(RMSECV)为0.615.研究结果表明,NIRS分析技术能够实现连作土壤中阿魏酸的快速检测,结果准确可靠.
|
| 关 键 词： | 近红外光谱 连作土壤 滁菊 酚酸 阿魏酸 |
Quantitative Determination of Ferulic Acid Content in Chrysanthemum Morifolium cv. ( Chuju) Continuous Cropping Soil Using Near Infrared Spectroscopy |
| |
| XIE Yue,ZHOU Cheng,TU Cong,ZHANG Zu-Liang,WANG Jian-Fei. Quantitative Determination of Ferulic Acid Content in Chrysanthemum Morifolium cv. ( Chuju) Continuous Cropping Soil Using Near Infrared Spectroscopy[J]. Chinese Journal of Analytical Chemistry, 2017, 45(3). DOI: 10.11895/j.issn.0253-3820.160773 |
| |
| Authors: | XIE Yue ZHOU Cheng TU Cong ZHANG Zu-Liang WANG Jian-Fei |
| |
| Abstract: | A near infrared spectroscopy ( NIRS) method was used for rapid quality evaluation of ferulic acid content in chrysanthemum morifolium cv. ( Chuju) continuous cropping soil. Standard leverage, studentized residual and Mahalanobis distance were calculated to eliminate abnormal samples. After the initial near infrared spectrum was treated by two second derivative and Norris smoothing filter noise, 6000-4000 cm-1 wave number range and 7 factors were chosen for partial least squares ( PLS) calibration model. The results showed that good correlation was presented between the calibration set/validation set and the values determined by high performance liquid chromatography, and the calibration correlation coefficient ( Rc ) and validation correlation coefficient ( Rcv ) were 0. 9914 and 0. 9935, respectively. Root mean square error of calibration (RMSEC), root mean square error of validation (RMSEP) and root mean square error of cross-validation (RMSECV) were 0. 484, 0. 539 and 0. 615, respectively. This method was accurate, reliable, simple, rapid and nondestructive, and could be applied to the fast analysis for ferulic acid in continuous cropping soil. |
| |
| Keywords: | Near infrared transmittance spectroscopy Continuous cropping soil Chrysanthemum morifolium cv. ( Chuju) Phenolic acids Ferulic acid |
| 本文献已被 万方数据 等数据库收录！ |
|
