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Speciation Analysis of Metals and Metalloids by Surface Enhanced Raman Spectroscopy
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2024-09-09 , DOI: 10.1021/acs.est.4c06906 Brian Youden 1 , Dongchang Yang 2 , Andrew Carrier 2 , Ken Oakes 3 , Mark Servos 1 , Runqing Jiang 1, 4 , Xu Zhang 1, 2
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2024-09-09 , DOI: 10.1021/acs.est.4c06906 Brian Youden 1 , Dongchang Yang 2 , Andrew Carrier 2 , Ken Oakes 3 , Mark Servos 1 , Runqing Jiang 1, 4 , Xu Zhang 1, 2
Affiliation
The presence of metalloids and heavy metals in the environment is of critical concern due to their toxicological impacts. However, not all metallic species have the same risk level. Specifically, the physical, chemical, and isotopic speciation of the metal(loids) dictate their metabolism, toxicity, and environmental fate. As such, speciation analysis is critical for environmental monitoring and risk assessment. In the past two decades, surface-enhanced Raman spectroscopy (SERS) has seen significant developments regarding trace metal(loid) sensing due to its ultrahigh sensitivity, readiness for in situ real-time applications, and cost-effectiveness. However, the speciation of metal(loid)s has not been accounted for in the design and application of SERS sensors. In this Perspective, we examine the potential of SERS for metal(loid) speciation analysis and highlight the advantages, progress, opportunities, and challenges of this application.
中文翻译:
通过表面增强拉曼光谱对金属和类金属进行形态分析
环境中类金属和重金属的存在因其毒理学影响而受到严重关注。然而,并非所有金属物种都具有相同的风险水平。具体来说,金属(类金属)的物理、化学和同位素形态决定了它们的代谢、毒性和环境命运。因此,形态分析对于环境监测和风险评估至关重要。在过去的二十年中,表面增强拉曼光谱(SERS)由于其超高的灵敏度、适合原位实时应用以及成本效益,在痕量金属(类)传感方面取得了重大发展。然而,SERS 传感器的设计和应用中并未考虑金属(类)的形态。在本视角中,我们研究了 SERS 在金属(类)形态分析中的潜力,并强调了该应用的优势、进展、机遇和挑战。
更新日期:2024-09-09
中文翻译:
通过表面增强拉曼光谱对金属和类金属进行形态分析
环境中类金属和重金属的存在因其毒理学影响而受到严重关注。然而,并非所有金属物种都具有相同的风险水平。具体来说,金属(类金属)的物理、化学和同位素形态决定了它们的代谢、毒性和环境命运。因此,形态分析对于环境监测和风险评估至关重要。在过去的二十年中,表面增强拉曼光谱(SERS)由于其超高的灵敏度、适合原位实时应用以及成本效益,在痕量金属(类)传感方面取得了重大发展。然而,SERS 传感器的设计和应用中并未考虑金属(类)的形态。在本视角中,我们研究了 SERS 在金属(类)形态分析中的潜力,并强调了该应用的优势、进展、机遇和挑战。