基于优选波长的复合肥总氮含量可见/近红外光谱分析

王键; 汪六三; 王儒敬; 鲁翠萍; 黄伟; 汪玉冰

doi:10.3788/fgxb20183912.1785

您当前的位置：

首页 >

文章列表页 >

基于优选波长的复合肥总氮含量可见/近红外光谱分析

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 基于优选波长的复合肥总氮含量可见/近红外光谱分析
- Analysis of Total Nitrogen in Compound Fertilizers by VIS-NIR Spectroscopy
- 发光学报 2018年39卷第12期页码：1785-1791
- 作者机构：
  
  1. 中国科学技术大学
  2. 中国科学院合肥物质科学研究院合肥智能机械研究所,安徽合肥,230031
- 作者简介：
- 基金信息：
  
  上海市科技兴农推广计划（沪农科推字（2016）第2-5-11号）();宁夏回族自治区科技支持计划（XD-XMBW-2016001）();国家自然科学基金（3167158
- DOI：10.3788/fgxb20183912.1785
  中图分类号： O235
- 收稿日期：2018-03-04，
  
  修回日期：2018-05-25，
  
  网络出版日期：2018-06-27，
  
  纸质出版日期：2018-12-05
- 稿件说明：
移动端阅览
王键, 汪六三, 王儒敬等. 基于优选波长的复合肥总氮含量可见/近红外光谱分析[J]. 发光学报, 2018,39(12): 1785-1791

WANG Jian, WANG Liu-san, WANG Ru-jing etc. Analysis of Total Nitrogen in Compound Fertilizers by VIS-NIR Spectroscopy[J]. Chinese Journal of Luminescence, 2018,39(12): 1785-1791
王键, 汪六三, 王儒敬等. 基于优选波长的复合肥总氮含量可见/近红外光谱分析[J]. 发光学报, 2018,39(12): 1785-1791 DOI： 10.3788/fgxb20183912.1785.

WANG Jian, WANG Liu-san, WANG Ru-jing etc. Analysis of Total Nitrogen in Compound Fertilizers by VIS-NIR Spectroscopy[J]. Chinese Journal of Luminescence, 2018,39(12): 1785-1791 DOI： 10.3788/fgxb20183912.1785.

摘要

利用可见/近红外光谱分析仪得到复合肥的原始光谱，经过MSC和一阶导数预处理后，建立了复合肥中总氮含量的PLS模型，实现了复合肥中总氮含量的快速准确无损测量。通过选取不同范围波长建模，取得了预测决定系数（

）、预测标准差（

RMSEP

）、相对分析误差（

RPD

）最好的基础波段。在基础波段的基础上，采用优选波长算法，获得了加入波长后的模型的预测决定系数和预测标准差图。通过分析，最终确定加入42个优选波长。实验结果表明，加入优选波长后的模型的预测决定系数由不加优选波长模型的0.760 4提高到了0.991 1，

RMSEP

降低为原来的1/5，

RPD

提高到原来的5倍。

Abstract

The original spectrum of compound fertilizer was obtained by VIS-NIR spectroscopy analyzer. After pre-treatment with multiplicative scatter correction(MSC) and first derivative

a partial least squares(PLS) model of total nitrogen(TN) content in compound fertilizer was established

which achieved rapid

accurate and non-destructive measurement. By selecting different wavelength models

the best fundamental band for predictive determination coefficient(

)

prediction standard deviation(

RMSEP

) and relative analysis error(

RPD

) were obtained. On the basis of the basic band

the optimal wavelength algorithm was used to obtain the predictive deterministic coefficient and the predictive standard deviation of the model after adding the wavelength. Through analysis

this article finally determined to add 42 preferred wavelengths. The experimental results show that the prediction deterministic coefficient of the model after adding the preferred wavelength is increased from 0.760 4 without the preferred wavelength model to 0.991 1

the

RMSEP

is reduced to 1/5

and the

RPD

is increased by 5 times.

关键词

Keywords

references

谭冬顺. 化肥质量检验技术及改进措施的探讨[J]. 化工管理, 2017(11):203. TAND S. Discussion on chemical fertilizer quality inspection technology and improvement measures[J]. Chem. Ind. Manag., 2017(11):203. (in Chinese)

应义斌, 于海燕. 近红外光谱在农产品品质无损检测中的应用研究进展[J]. 光谱学与光谱分析, 2008, 28(10):113-114. YING Y B, YU H Y. Advances in application of near-infrared spectroscopy in the non-destructive testing of agricultural products[J]. Spectrosc. Spect. Anal., 2008, 28(10):113-114. (in Chinese)

谢越, 李飞跃, 范行军, 等. 基于近红外光谱技术的生物炭组分分析[J]. 分析化学, 2018, 46(4):609-615. XIE Y, LI F Y, FANG X J, et al.. Analysis of biochar components based on near infrared spectroscopy[J]. Anal. Chem., 2018, 46(4):609-615. (in Chinese)

刘燕德, 肖怀春, 孙旭东, 等. 基于可见与近红外光谱联用的柑桔黄龙病快速无损检测研究[J]. 光谱学与光谱分析, 2018, 38(2):528-534. LIU Y D, XIAO H C, SUN X D, et al.. Rapid non-destructive detection of citrus huanglongbing based on visible and near infrared spectroscopy[J]. Spectrosc. Spect. Anal., 2018, 38(2):528-534. (in Chinese)

VAN VUURENJ A J, GROENEWALD C A. Use of scanning near-infrared spectroscopy as a quality control indicator for bulk blended inorganic fertilizers[J]. Commun. Soil Sci. Plant Anal., 2013, 44(1-4):120-135.

王献忠. 近红外光谱法快速测定复混肥总氮量[J]. 萍乡高等专科学校学报, 2001, 4:73-75. WANG X Z. Rapid determination of total nitrogen in compound fertilizers by near infrared spectroscopy[J]. J. Pingxiang College, 2001, 4:73-75. (in Chinese)

苏彩珠, 邱敏敏, 谢文曦, 等. 近红外漫反射技术检测复合肥中钾含量的方法及初步应用[J]. 检验检疫科学, 2007(S1):31-33. SU C Z, QIU M M, XIE W X, et al.. Method and preliminary application of near infrared diffuse reflection technology for detection of potassium in compound fertilizers[J]. Inspect. Quarant. Sci., 2007(S1):31-33. (in Chinese)

苏彩珠, 蔡英俊, 陈奕, 等. 近红外漫反射法快速检测复合肥中总氮含量[J]. 分析实验室, 2008(S1):298-301. SU C Z, CAI Y J, CHEN Y, et al.. Near-infrared diffuse reflectance method for rapid determination of total nitrogen in compound fertilizers[J]. Chin. J. Anal. Lab., 2008(S1):298-301. (in Chinese)

郭峥, 袁洪福, 张娴, 等. 复合肥料多种养分含量快速分析新方法[J]. 光谱学与光谱分析, 2011, 31(9):2424-2427. GUO Z, YUAN H F, ZHANG X, et al.. A new method for rapid analysis of multiple nutrient contents of compound fertilizers[J]. Spectrosc. Spect. Anal., 2011, 31(9):2424-2427. (in Chinese)

宋乐, 张红, 倪晓宇, 等. 基于NIRS技术的复合化肥成分定量分析及应用研究[J]. 光谱学与光谱分析, 2014, 34(1):73-77. SONG L, ZHANG H, NI X Y, et al.. Quantitative analysis and application of compound fertilizer based on NIRS technology[J]. Spectrosc. Spect. Anal., 2014, 34(1):73-77. (in Chinese)

李华, 王菊香, 邢志娜, 等. 改进的K/S算法对近红外光谱模型传递影响的研究[J]. 光谱学与光谱分析, 2011, 31(2):362-365. LI H, WANG J X, XING Z N, et al.. Study on the influence of improved K/S algorithm on near-infrared spectral model transmission[J]. Spectrosc. Spect. Anal., 2011, 31(2):362-365. (in Chinese)

林志丹. 基于可见/近红外光谱分析的化肥土壤成分速测模型研究[D]. 合肥:中国科学技术大学, 2016. LIN Z D. Research on The Rapid Detection Models of Fertilizer and Soil Composition Based on The Visible/Near Infrared Spectroscopy[D]. Hefei:University of Science and Technology of China, 2016. (in Chinese)

KOHONEN J, REINIKAINEN S, AALJOKI K, et al.. Nonlinear PLS approach in score surface[J]. Chem. Metr. Intel. Lab. Syst., 2009, 97:159-163.

段焰青, 王家俊, 杨涛, 等. FT-NIR光谱法定量分析烟草薄片中5种化学成分[J]. 激光与红外, 2007, 37(10):1058-1061. DUAN Y Q, WANG J J, YANG T, et al.. Quantitative analysis of five chemical components in tobacco flakes by FT-NIR spectroscopy[J]. Laser Infrared, 2007, 37(10):1058-1061. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据