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

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1039/d3an00636k

Entities

People

  • Joy Qiaoyi Li
  • Supriya Atta
  • Tuan Vo-Dinh

Organizations

  • Duke University
  • Gates Foundation
  • John E. Fogarty International Center

Tags

Fields of Study

  • Environmental science

Readers

  • Groundwater Contamination Remediation.
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation