Rapid authentication of agarwood by using liquid extraction surface analysis mass spectrometry (LESA-MS)
| Autor: | Zhengtao Wang, Yuangui Yang, Li Yang, Yilin Chen, Yanqiao Xie, Linnan Li, Hong Xu |
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| Rok vydání: | 2020 |
| Předmět: |
Plant Science
engineering.material Mass spectrometry 01 natural sciences Biochemistry Mass Spectrometry Analytical Chemistry Qualitative analysis Chemical marker Drug Discovery Screening tool business.industry Chemistry 010401 analytical chemistry Extraction (chemistry) Pattern recognition General Medicine Agarwood Linear discriminant analysis Wood 0104 chemical sciences 010404 medicinal & biomolecular chemistry Complementary and alternative medicine Chromones Thymelaeaceae Principal component analysis engineering Molecular Medicine Artificial intelligence business Resins Plant Food Science |
| Zdroj: | Phytochemical analysis : PCAREFERENCES. 31(6) |
| ISSN: | 1099-1565 |
| Popis: | Introduction Agarwood is a highly valuable fragrant resinous wood which is widely used as traditional Chinese medicines, perfumes, incense and decorations. Due to its high economic value and excessive demand, this leads to a rising price and proliferation of fake commodities. Thus, strict authenticity identification and quality evaluation of agarwood are of great significance. Objective To establish a simple, rapid and non-destructive technique for identifying the authenticity of agarwood. Methods Liquid extraction surface analysis mass spectrometry (LESA-MS) was firstly proposed to identify the authenticity of 62 agarwood samples without sample preparation. In addition, multivariate statistical models and thin-layer chromatography (TLC) method were used to analyse and verify the results of LESA-MS. Results Representative compounds of agarwood were detected by LESA-MS. A characteristic 2-(2-phenylethyl)chromone compound (m/z 319.1) was treated as a key chemical marker to identify agarwood and its counterfeits rapidly. Several other chromones ions were identified and used as additional evidence for authentic samples. A total of 62 samples were visually discriminated as two groups by principal component analysis (PCA) and orthogonal projection to latent structures discriminant analysis (OPLS-DA), and the specific characteristic marker was highlighted. Moreover, the qualitative results of the conventional TLC method were in agreement with the LESA-MS approach. Conclusion The proposed LESA-MS method was successfully applied in the direct qualitative analysis of agarwood from different sources. This study indicated great feasibility and practicality of LESA-MS in the rapid identification of agarwood, and provided a non-destructive and meaningful preliminary screening tool for the agarwood industry. |
| Databáze: | OpenAIRE |
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