Multiplex SERS detection of polycyclic aromatic hydrocarbon (PAH) pollutants in water samples using gold nanostars and machine learning analysis-Reference-Cited by-同舟云学术

Multiplex SERS detection of polycyclic aromatic hydrocarbon (PAH) pollutants in water samples using gold nanostars and machine learning analysis

Published:2023 Issue:20 Volume:148 Page:5105-5116
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Atta Supriya¹²,Li Joy Qiaoyi¹²,Vo-Dinh Tuan¹²³^ORCID

Affiliation:

1. Fitzpatrick Institute for Photonics, Duke University, Durham, NC 27708, USA

2. Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA

3. Department of Chemistry, Duke University, Durham, NC 27708, USA

Abstract

Polycyclic aromatic hydrocarbons (PAHs) have attracted a lot of environmental concern because of their carcinogenic and mutagenic properties, and the fact they can easily contaminate natural resources such as drinking water and river water.

Funder

Fogarty International Center

Bill and Melinda Gates Foundation

National Defense Science and Engineering Graduate

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AN/D3AN00636K

Reference59 articles.

1. A review of atmospheric polycyclic aromatic hydrocarbons: Sources, fate and behavior

2. A review of airborne polycyclic aromatic hydrocarbons (PAHs) and their human health effects

3. Polycyclic aromatic hydrocarbons and cancer in man.

4. Polycyclic aromatic hydrocarbons. A review

5. Biodegradation aspects of Polycyclic Aromatic Hydrocarbons (PAHs): A review

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