摘要
黑碳是由生物质及化石燃料燃烧产生的含碳颗粒,是除CO_(2)外对全球气候变暖贡献最大的辐射强迫因子。因此,黑碳对全球气候和环境系统具有重大影响。其次,黑碳超小(<100 nm)的粒径使其能够通过呼吸系统进入到人体内,其本身以及表面负载的有毒物质也会对人体健康产生严重危害。为了厘清黑碳对环境和人类健康的影响,研究人员已发展了多种针对黑碳颗粒的分析技术,其中质谱技术凭借出色的抗干扰能力和强大的定性定量分析性能成为研究黑碳环境效应和健康风险最有潜力的技术之一。该文综述了复杂介质中黑碳颗粒质谱分析技术的原理、技术特征和应用实例,并对未来黑碳的分析技术发展进行了展望。
Black carbon,which comprises carbon-containing particle produced by the combustion of biomass and fossil fuels,has been recognized as a significant contributor to radiative forcing and global warming,second only to CO_(2).Consequently,black carbon exerts a substantial influence on global climate and environmental systems.Moreover,the ultra-small particle size of black carbon fa⁃cilitates its entry into the human body via the respiratory system,posing significant risks to human health due to both the particles themselves and the toxic substances adsorbed on their surface.To in⁃vestigate the impacts of black carbon on the environment and human health,researchers have de⁃vised a range of analytical techniques.Notably,mass spectrometry techniques exhibit exceptional an⁃ti-interference capabilities and offer robust qualitative and quantitative analysis performance,render⁃ing it one of the most promising technologies to investigating the environmental effects and health risks associated with black carbon.This article provides a comprehensive review of the principles,techni⁃cal advantages,and representative applications of mass spectrometry techniques in the analysis of black carbon in complex media.Additionally,the future prospects for the advancement of black car⁃bon analysis technologies was explored.
作者
林悦
闵可
舒钊
刘琳
傅建捷
刘倩
江桂斌
LIN Yue;MIN Ke;SHU Zhao;LIU Lin;FU Jian-jie;LIU Qian;JIANG Gui-bin(School of Environment,Hangzhou Institute for Advanced Study,UCAS,Hangzhou 310024,China;State Key Laboratory of Environmental Chemistry and Ecotoxicology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China)
出处
《分析测试学报》
CAS
CSCD
北大核心
2023年第9期1194-1203,共10页
Journal of Instrumental Analysis
基金
国家自然科学基金资助项目(22106027,21825403,92143301)
中国博士后科学基金面上资助项目(2022M713302)。
关键词
黑碳
质谱技术
环境样品
生物样品
成像
black carbon
mass spectrometry
environmental samples
biological samples
imag⁃ing