Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 55,
  • Issue 10,
  • pp. 1327-1336
  • (2001)

Detection of Anionic Nutrients by SERS of Cationic-Coated Silver Substrates. Effect of Chloride Ion

Not Accessible

Your library or personal account may give you access

Abstract

Earlier it was demonstrated that surface-enhanced Raman spectroscopy (SERS) of cationic-coated silver substrates could successfully detect nitrate and sulfate in the parts-per-billion to parts-per-million concentration range. However, these cationic coatings also interact with chloride ion. In this paper, the magnitude of the chloride ion interference is examined. To eliminate the interference, we explore the use of selective ionophores and solid-phase extraction (SPE).

PDF Article
More Like This
Comparative study of multiple thiol-based self-assembled monolayer coatings for the SERS detection of nitrite, nitrate, and perchlorate anions in water

P. Muñoz, C. T. N. Noordam, R. J. M. Egberink, J. Huskens, and S. M. Garcia-Blanco
Appl. Opt. 58(34) 9345-9352 (2019)

Superhydrophobic silver film as a SERS substrate for the detection of uric acid and creatinine

Yudong Lu, Changji Wu, Ruiyun You, Yang Wu, Huiying Shen, Lanjin Zhu, and Shangyuan Feng
Biomed. Opt. Express 9(10) 4988-4997 (2018)

In situ detection of trace pollutants: a cost-effective SERS substrate of blackberry-like silver/graphene oxide nanoparticle cluster based on quick self-assembly technology

Jing Yu, Yisheng Wei, Huijie Wang, Chao Zhang, Yunjia Wei, Minghui Wang, Baoyuan Man, and Fengcai Lei
Opt. Express 27(7) 9879-9894 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.