PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 2026The Analyst0 citations

Se-, S-, and N-doped carbon dot-based AuNPs for the detection of 6-methylnicotine in e-cigarettes by surface-enhanced Raman scattering

ZZZhao ZhaoQPQianqian PangXWXi Wang

Key Points

  • The study aims to develop a sensitive and specific sensing platform using S-, Se-, and N-doped carbon dots for detecting 6-methylnicotine.
  • Gold nanoparticles synthesized using sulfur, selenium, and nitrogen-doped carbon dots.
  • Carbon dots created using D-penicillamine, citric acid, sodium selenate, and ethylenediamine.
  • Facile microwave digestion method employed for synthesis.
  • Surface-enhanced Raman scattering used for detection of 6-methylnicotine.
  • Developed sensing platform shows a low detection limit of 0.13 μg L-1.
  • Effective application for detecting 6-methylnicotine in electronic cigarette samples.

Abstract

Gold nanoparticles (AuNPs) with excellent surface-enhanced Raman spectroscopy (SERS) activities were prepared using sulfur, selenium and nitrogen (S, Se, and N)-doped carbon dots (S-, Se-, and N-CDs) as both reducing and capping agents. S-, Se-, and N-CDs rich in surface functional groups were synthesized using D-penicillamine (D-PA), citric acid, sodium selenate (Na2SeO4), and ethylenediamine as precursors by a facile microwave digestion method. The specific interaction of S-, Se-, and N-CD-based AuNPs (AuNPs/Se-CDs) and 6-methylnicotine (6-MN), which is attributed to the formation of S-Au and Se-Au bonds, contributes to the development of a highly sensitive and specific surface-enhanced Raman scattering (SERS) sensing platform for detecting 6-MN, with a low detection limit of 0.13 μg L-1. This platform was effectively applied for the determination of 6-MN in electronic cigarette samples.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69d894ce6c1944d70ce05cbfhttps://doi.org/10.1039/d5an01296a
Ask AI
Helpful
Bookmark
Share
View Full Paper