摘要
利用傅里叶变换红外光谱(Fourier transform infrared spectroscopy,FTIR)分析了中国西南喀斯特地区岩滩(Yantan,YT)水库中的沉积物,探讨了基于FTIR的沉积物总有机碳(total organic carbon,TOC)、总氮(total nitrogen,TN)和生物硅(biogenic silica,BSi)含量的快速分析方法.采用偏最小二乘回归(partial least squares regression,PLSR)方法,分别建立了TOC/TN/BSi含量的FTIR预测模型,并根据实测数据对这一预测模型的预测精度进行了验证.结果表明:该方法可有效提取水库沉积物中的地球化学信息,应用于高分辨率古环境变化的研究;需要样品量少,预处理过程简单,并因其快速和经济的特点,在测定大量沉积物样品时具有极大的优势.
Fourier transform infrared spectroscopy(FTIR) was used to analyse sediments from Yantan(YT) Reservoir in Southwest China,and a rapid analysis method for sediment total organic carbon(TOC),total nitrogen(TN) and biogenic silica(BSi) content based on FTIR was investigated.The FTIR prediction models of TOC/TN/BSi contents were established by partial least squares regression(PLSR) method,respectively.The prediction accuracy of this model was verified based on the measured data.This 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 rapidly and econumically determine the content of various sediments components,which is of great advantage in determining a large number of sediment samples.
作者
梅林
范新怡
岳一鸿
刘留
褚永胜
汪福顺
MEI Lin;FAN Xinyi;YUE Yihong;LIU Liu;CHU Yongsheng;WANG Fushun(School of Environmental and Chemical Engineering,Shanghai University,Shanghai 200444,China)
出处
《上海大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第2期227-235,共9页
Journal of Shanghai University:Natural Science Edition
基金
国家重点研发计划资助项目(2016YFA0601003)
上海市科学技术发展基金资助项目(19010500100)。
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
Fourier transform infrared spectroscopy(FTIR)
total organic carbon(TOC)
total nitrogen(TN)
biogenic silica(BSi)
reservoir sediment
