上海大学学报(自然科学版)

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基于FTIR对水库沉积物中TOC、TN和BSi含量的快速测定

梅林,范新怡,岳一鸿,刘留,褚永胜,汪福顺   

  1. 上海大学 环境与化学工程学院,上海200444
  • 收稿日期:2021-03-10
  • 通讯作者: 汪福顺(1976—)男,教授,博士生导师,博士,研究方向为水库运行与温室气体释放生源要素水坝拦截效应、水生生态系统演变. E-mail:fswang@shu.edu.cn
  • 基金资助:
    国家重点研发计划(2016YFA0601003);上海市科学技术发展基金(19010500100);

Rapid determination of TOC, TN and BSi in reservoir sediments based on Fourier transform infrared spectroscopy(FTIR)

MEI Lin,FAN Xinyi,YUEn Yihong,LIU Liu,CHU Yongsheng,WANG Fushun   

  1. School of Environmental and Chemical engineering, Shanghai University, shanghai 200444, China
  • Received:2021-03-10

摘要: 本研究利用傅里叶变换红外光谱法(FTIR)对中国西南喀斯特地区岩滩(YT)水库的沉积物进行了红外光谱分析,探讨了基于FTIR方法的沉积物总有机碳(TOC)、总氮(TN)、生物硅(BSi)含量的快速分析方法。采用偏最小二乘回归方法(PLSR),分别建立了OC\TN\BSi含量的FTIR预测模型。并根据实测数据对这一模型的预测精度进行了验证。研究表明,该方法可以有效提取水库沉积物中的地球化学信息,并可应用于高分辨率古环境变化的研究。本方法需要样品量少,预处理过程简单,以快速和经济的方式来测定沉积物中的各种成分的含量,在测定大量沉积物样品时具有极大的优势。

关键词: 傅里叶变换红外光谱, 总有机碳, 总氮, 生物硅 , 水库沉积物

Abstract: In this study, infrared spectroscopy was used to analyze sediments from rocky shore (YT) reservoirs in southwest China using Fourier transform infrared spectroscopy (FTIR), and a rapid analysis method for sediment total organic carbon (TOC), total nitrogen (TN), and biogenic silica (BSi) content based on FTIR method was investigated. The FTIR prediction models of OC\TN\BSi contents were established by partial least squares regression (PLSR) method, respectively. And the prediction accuracy of this model was verified based on the measured data. It is shown that the method can effectively extract geochemical information from reservoir sediments and can be applied to the study of high-resolution paleoenvironmental changes. The method requires small sample size and simple pretreatment process to determine the content of various components in sediments in a rapid and economical way, which is of great advantage in determining large number of sediment samples.

Key words: Fourier transform infrared spectroscopy, Total organic carbon, Total nitrogen, biogenic silica, Reservoir sediment

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