海水吸光度特性高精度检测研究  

Research on high precision detection of seawater absorbance

作　　者：薛庆生 卢继涛 孙茜 栾晓宁[1] 王福鹏 Xue Qingsheng;Lu Jitao;Sun Qian;Luan Xiaoning;Wang Fupeng(College of Information Science&Engineering,Ocean University of China,Qingdao 266100,China)

机构地区：[1]中国海洋大学信息科学与工程学院,山东青岛266100

出　　处：《红外与激光工程》2020年第2期80-85,共6页Infrared and Laser Engineering

基　　金：国家重点研发计划项目(2016YFB0500300,2016YFB0500301,2016YFB0500302,2016YFB0500303,2016YFB0500304,2018YFF01011003);国家自然科学基金(41575023,41105014);吉林省科技发展计划项目(20190302083GX)。

摘　　要：采用紫外-可见分光法测量不同浓度的海水相对于纯水的吸光度,为达到高精度检测海水吸光度的要求,在检测海水吸光度时将仪器本身固有的背景信号及样品容器之间的差异所产生的误差纳入研究范畴,对实验方法展开进一步的优化,利用差减的方法滤除背景信号的干扰,同时验证了比色皿空杯相对于空气吸光度的重复性及比色皿之间相对于空气吸光度的差异性,再利用差减的方法滤除比色皿之间的差异所带来的误差,并且选取一定的特征波长观察其相对于纯水的吸光度数据,验证了运用优化后的实验检测方法最终达到高精度测量海水吸光度的目的(<0.000 5 AU),对于精确检测高透明度水域中的各种物质具有重要意义。UV-Vis(Ultraviolet and visible) spectrometry was used to measure the absorbance of seawater with different concentrations relative to pure water. In order to meet the requirements for high-precision detection of seawater absorbance, the inherent background signal of the instrument and the difference between the sample containers were used to detect the absorbance of seawater where the error was included in the research category, and the experimental method was further optimized. The subtraction method was used to filter out the interference of the background signal. At the same time, the repeatability of the cuvette empty cup with respect to air and the cuvette with respect to air were verified. The difference in absorbance, and the error caused by the difference between cuvettes was filtered by the method of subtraction, and a certain characteristic wavelength was selected to observe its absorbance data relative to pure water, which verified the use of optimized experimental detection. The method finally achieves the purpose of measuring the absorbance of seawater with high accuracy(<0.000 5 AU). It was of considerable importance for detection of various substances in highly transparent water.

关 键 词：紫外-可见分光法 高精度 海水吸光度 

分 类 号：O433.1[机械工程—光学工程]