首页|海水溶解态镍的现场快速检测系统构建及应用

海水溶解态镍的现场快速检测系统构建及应用

扫码查看
镍是海洋生物的必需元素,影响着海洋中甲烷生成、氮吸收等过程.现场快速检测海水中溶解态镍将为海洋环境监测应急预警提供技术支持.为减少储存或运输等条件变化对镍浓度的影响,本研究采用电化学吸附阴极溶出伏安法,结合便携式电化学工作站,构建了海水中溶解态镍的现场快速检测系统.通过性能优化,该检测系统对镍的检出限为30.00 ng/L,线性范围为0.10~100.00 μg/L(R2=0.997),单个样品检测时间<10 min.该检测系统成功用于黄海、东海、南海3个典型养殖区的现场快速检测研究.检测结果表明,3个养殖区溶解态镍含量均符合一级海水水质要求(≤5.00 μg/L),但黄海、南海养殖区浓度低,东海浓度相对较高.
Construction and Application of On-site Rrapid Detection System for Dissolved Nickel in Seawater
Nickel is an essential element for marine organisms and may affect processes such as methane generation and nitrogen absorption in the ocean.On-site rapid determination of dissolved nickel would provide technical support for marine environmental monitoring and emergency warning.Based on adsorptive cathodic stripping voltammetry and a portable handheld electrochemical workstation,a portable on-site rapid detection system for dissolved nickel in seawater was constructed in this study to reduce the impact of changes in storage or transportation conditions on dissolved nickel concentration.After performance optimization,the detection limit of the system for nickel was 30.00 ng/L,the linear range was 0.10-100.00 μg/L,(R2=0.997),the detection time for each sample was less than 10 min.The rapid detection system had been successfully used for on-site determination in three typical aquaculture areas in the Yellow Sea,East China Sea and South China Sea.The test results showed that the dissolved nickel concentration in these three aquaculture areas met the requirements of Class Ⅰ seawater quality(≤5.00 μg/L).The concentration in the Yellow Sea and South China Sea aquaculture area was lower than that in the East China Sea.The assessment results of pollution factors showed that the three aquaculture areas were in low pollution water quality(Class Ⅰ).

SeawaterDissolved nickelRapid detection systemOn-site determination

樊霞、潘大为、梁艳、魏红

展开 >

中国科学院烟台海岸带研究所,中国科学院海岸带环境过程与生态修复重点实验室,山东烟台 264003

山东省海岸带环境过程重点实验室,山东烟台 264003

中国科学院大学,北京 100049

山东盐碱地现代农业有限责任公司,山东东营 257347

展开 >

海水 溶解态镍 快速检测系统 现场检测

山东省重点研发计划项目国家重点研发计划项目黄三角国家农高区科技专项

2022CXPT0192019YFD09011032022SZX01

2024

分析科学学报
武汉大学,北京大学,南京大学

分析科学学报

CSTPCD北大核心
影响因子:0.717
ISSN:1006-6144
年,卷(期):2024.40(4)