Jump to main content
Jump to site search

Issue 24, 2017
Previous Article Next Article

Nondestructive detection of triclosan in antibacterial hand soaps using digitally labelled Raman spectroscopy

Author affiliations

Abstract

The wide use of antibacterial hand soaps containing triclosan has raised a potential threat to health, and the detection of triclosan is thus extremely important. Here we introduce an efficient approach for nondestructive screening of triclosan in hand soaps. Using Raman spectroscopy in a digitally labelled approach, we utilized the strategy of modified competitive adaptive reweighted sampling (MCARS) to assign spectral features according to a higher density wavelet transform (HDWT) domain, which is named digital labeled Raman spectroscopy (DLRS). DLRS efficiently isolates the features of triclosan from matrix components, enabling the nondestructive quantitative analysis of triclosan in real antibacterial hand soaps, irrespective of the details of the soap matrix. We demonstrate the feasibility of DLRS using a practical test in which we seek to quantify triclosan in several kinds of antibacterial hand soaps nondestructively. The results illustrate DLRS as a promising tool for nondestructive detection of triclosan in antibacterial hand soaps without any sample pretreatment, which may well extend to digital separation of some analytes of interest in the presence of complex chemical substances.

Graphical abstract: Nondestructive detection of triclosan in antibacterial hand soaps using digitally labelled Raman spectroscopy

Back to tab navigation

Publication details

The article was received on 13 Jan 2017, accepted on 21 May 2017 and first published on 22 May 2017


Article type: Paper
DOI: 10.1039/C7AY00118E
Citation: Anal. Methods, 2017,9, 3720-3726
  •   Request permissions

    Nondestructive detection of triclosan in antibacterial hand soaps using digitally labelled Raman spectroscopy

    X. Han, Z. Tan, Z. Huang, X. Chen, Y. Gong, Q. Li, K. Xu and D. Chen, Anal. Methods, 2017, 9, 3720
    DOI: 10.1039/C7AY00118E

Search articles by author

Spotlight

Advertisements