4.7 Article

Detection of structurally similar adulterants in botanical dietary supplements by thin-layer chromatography and surface enhanced Raman spectroscopy combined with two-dimensional correlation spectroscopy

Journal

ANALYTICA CHIMICA ACTA
Volume 883, Issue -, Pages 22-31

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2015.04.017

Keywords

Structurally similar adulterants; Two-dimensional correlation spectroscopy; Surface enhanced Raman spectroscopy; Highly overlapped peaks; Duration of exposure to laser; Enhanced selectivity

Funding

  1. Ministry of Science and Technology of the People's Republic of China [2012YQ18013203]
  2. National Natural Science Foundation of China [61178083]
  3. Science & Technology Committee of Shanghai [11431922502]

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Thin-layer chromatography (TLC) coupled with surface enhanced Raman spectroscopy (SERS) has been widely used for the study of various complex systems, especially for the detection of adulterants in botanical dietary supplements (BDS). However, this method is not sufficient to distinguish structurally similar adulterants in BDS since the analogs have highly similar chromatographic and/or spectroscopic behaviors. Taking into account the fact that higher cost and more time will be required for comprehensive chromatographic separation, more efforts with respect to spectroscopy are now focused on analyzing the overlapped SERS peaks. In this paper, the combination of a TLC-SERS method with two-dimensional correlation spectroscopy (2DCOS), with duration of exposure to laser as the perturbation, is applied to solve this problem. Besides the usual advantages of the TLC-SERS method, such as its simplicity, rapidness, and sensitivity, more advantages are presented here, such as enhanced selectivity and good reproducibility, which are obtained by 2DCOS. Two chemicals with similar structures are successfully differentiated from the complex BDS matrices. The study provides a more accurate qualitative screening method for detection of BDS with adulterants, and offers a new universal approach for the analysis of highly overlapped SERS peaks. (C) 2015 Elsevier B.V. All rights reserved.

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