Literature DB >> 27907866

Chemical profiling and adulteration screening of Aquilariae Lignum Resinatum by Fourier transform infrared (FT-IR) spectroscopy and two-dimensional correlation infrared (2D-IR) spectroscopy.

Lei Qu1, Jian-Bo Chen2, Gui-Jun Zhang1, Su-Qin Sun3, Jing Zheng1.   

Abstract

As a kind of expensive perfume and valuable herb, Aquilariae Lignum Resinatum (ALR) is often adulterated for economic motivations. In this research, Fourier transform infrared (FT-IR) spectroscopy is employed to establish a simple and quick method for the adulteration screening of ALR. First, the principal chemical constituents of ALR are characterized by FT-IR spectroscopy at room temperature and two-dimensional correlation infrared (2D-IR) spectroscopy with thermal perturbation. Besides the common cellulose and lignin compounds, a certain amount of resin is the characteristic constituent of ALR. Synchronous and asynchronous 2D-IR spectra indicate that the resin (an unstable secondary metabolite) is more sensitive than cellulose and lignin (stable structural constituents) to the thermal perturbation. Using a certified ALR sample as the reference, the infrared spectral correlation threshold is determined by 30 authentic samples and 6 adulterated samples. The spectral correlation coefficient of an authentic ALR sample to the standard reference should be not less than 0.9886 (p=0.01). Three commercial adulterated ALR samples are identified by the correlation threshold. Further interpretation of the infrared spectra of the adulterated samples indicates the common adulterating methods - counterfeiting with other kind of wood, adding ingredient such as sand to increase the weight, and adding the cheap resin such as rosin to increase the content of resin compounds. Results of this research prove that FT-IR spectroscopy can be used as a simple and accurate quality control method of ALR.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adulteration screening; Aquilariae Lignum Resinatum; Correlation coefficient; Fourier transform infrared spectroscopy; Second derivative infrared spectroscopy; Two-dimensional correlation infrared spectroscopy

Mesh:

Substances:

Year:  2016        PMID: 27907866     DOI: 10.1016/j.saa.2016.11.008

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  5 in total

1.  The Storage Period Discrimination of Bolete Mushrooms Based on Deep Learning Methods Combined With Two-Dimensional Correlation Spectroscopy and Integrative Two-Dimensional Correlation Spectroscopy.

Authors:  Jian-E Dong; Ji Zhang; Tao Li; Yuan-Zhong Wang
Journal:  Front Microbiol       Date:  2021-11-25       Impact factor: 5.640

2.  Rapid Identification for the Pterocarpus Bracelet by Three-Step Infrared Spectrum Method.

Authors:  Zhi Jin; Weili Cui; Fangda Zhang; Fang Wang; Shichao Cheng; Yuejin Fu; Anmin Huang
Journal:  Molecules       Date:  2022-07-27       Impact factor: 4.927

3.  Rapid and Integrated Quality Assessment of Organic-Inorganic Composite Herbs by FTIR Spectroscopy-Global Chemical Fingerprints Identification and Multiple Marker Components Quantification of Indigo Naturalis (Qing Dai).

Authors:  Meng Pan; Wenxuan Pei; Yixin Yao; Ling Dong; Jianbo Chen
Journal:  Molecules       Date:  2018-10-24       Impact factor: 4.411

Review 4.  Chemical Authentication of Botanical Ingredients: A Review of Commercial Herbal Products.

Authors:  Mihael Cristin Ichim; Anthony Booker
Journal:  Front Pharmacol       Date:  2021-04-15       Impact factor: 5.810

5.  Discrimination of Adulterated Ginkgo Biloba Products Based on 2T2D Correlation Spectroscopy in UV-Vis Range.

Authors:  Agata Walkowiak; Kacper Wnuk; Michał Cyrankiewicz; Bogumiła Kupcewicz
Journal:  Molecules       Date:  2022-01-10       Impact factor: 4.411

  5 in total

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