High performance liquid chromatography fingerprint and headspace gas chromatography-mass spectrometry combined with chemometrics for the species authentication of Curcumae Rhizoma

Wang, Yu; He, Ting; Wang, Jingjuan; Wang, Le; Ren, Xueyang; He, Shiwen; Liu, Xiaoyun; Dong, Ying; Ma, Jiamu; Song, Ruolan; Wei, Jing; Yu, Axiang; Fan, Qiqi; Wang, Xiuhuan; She, Gaimei

doi:10.1016/j.jpba.2021.114144

Cited by 31 publications

(18 citation statements)

References 27 publications

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“…We also compared two different classification model types, linear discriminant analysis (LDA) and random forest (RF) both of which are commonly applied to classification of samples using REIMS data (Cameron et al 2016, St John et al 2017, Davidson et al 2019, Gredell et al 2019, Wagner et al 2020, Sarsby et al 2021). LDA is often the classification method of choice for spectrometry-based phenotyping, including REIMS (Bonetti 2018, D’Hue et al 2018, Gredell et al 2019, Kenar et al 2019, Liu et al 2021, Wang et al 2021). The results of this study showed that LDA classification models were able to achieve comparable accuracy to the more complex random forest models and in the case of our data performed better.…”

Section: Discussionmentioning

confidence: 99%

Rapid evaporative ionisation mass spectrometry (REIMS): A potential and rapid tool for the identification of insecticide resistance in mosquito larvae

Morgan

Salcedo-Sora

Wagner

et al. 2022

Preprint

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Insecticide resistance is a significant challenge facing the successful control of mosquito vectors globally. Bioassays are currently the only method for phenotyping resistance. They require large numbers of mosquitoes for testing, the availability of a susceptible comparator strain and often insectary facilities. This study aimed to trial the novel use of rapid evaporative ionisation mass spectrometry (REIMS) for the identification of insecticide resistance in mosquitoes. No sample preparation is required for REIMS and analysis can be rapidly conducted within hours. Temephos resistant Aedes aegypti (Linnaeus) larvae from Cúcuta, Colombia and temephos susceptible larvae from two origins (Bello, Colombia, and the lab reference strain New Orleans) were analysed using REIMS. We tested the ability of REIMS to differentiate three relevant variants: population source, lab versus field origin and response to insecticide. The classification of these data was undertaken using linear discriminant analysis (LDA) and random forest. Classification models built using REIMS data were able to differentiate between Ae. aegyptilarvae from different populations with 82% (± 0.01) accuracy, between mosquitoes of field and lab origin with 89% (± 0.01) accuracy and between susceptible and resistant larvae with 85% (± 0.01) accuracy. LDA classifiers had higher efficiency than random forest with this data set. The high accuracy observed here identifies REIMS as a potential new tool for rapid identification of resistance in mosquitoes. We argue that REIMS and similar modern phenotyping alternatives should complement existing insecticide resistance management tools.

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Section: Discussionmentioning

confidence: 99%

Rapid evaporative ionisation mass spectrometry (REIMS): A potential and rapid tool for the identification of insecticide resistance in mosquito larvae

Morgan

Salcedo-Sora

Wagner

et al. 2022

Preprint

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“…It has been widely used for authenticity verification, origin identification and quality evaluation of TCM products (Zhu et al, 2017). Meanwhile, the HPLC fingerprinting has been widely used to identify the source of herbs and perform quality control of herbal medicines because of its convenience and efficiency (Wang, He, et al, 2021). The isolation of chemical components as well as activity studies is the main emphasis of the current research on AR (Gong, Zheng, Kong, & Wen, 2021; Gong, Zheng, Yang, et al, 2021; Pan et al, 2021; Wang, Liu, et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Combining network pharmacology with chromatographic fingerprinting and multicomponent quantitative analysis for the quality evaluation of Astragali Radix

Guo

Sha

et al. 2022

Biomedical Chromatography

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Nowadays, cultivated variants and adulterants of Astragali Radix (AR) have flooded the market, causing the quality assurance of AR to be challenging. To address this issue, we combined network pharmacology with chromatographic fingerprinting and multicomponent quantitative analysis for the quality evaluation of AR. Specifically, through network pharmacology, a complete understanding of the active components and pharmacological activities of AR was established. In addition, establishing fingerprint profiles and multicomponent quantitation by high-performance liquid chromatography (HPLC) is convenient and comprehensive, and can more fully reflect the overall situation of the distribution of various chemical components. To evaluate and differentiate AR from different origins, hierarchical cluster analysis and principal component analysis were performed. The result showed that AR acts synergistically through multiple targets and pathways. The content of chemical components in AR from different origins varied significantly. Combining network pharmacology and multicomponent quantification results, astragaloside II and IV and formononetin can be used as quality markers for the quality control of AR. This study provides a comprehensive and reliable strategy for the quality evaluation of AR and identifies its quality markers to ensure the quality of the herb.

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“…Gas chromatography–mass spectrometry (GC–MS) has widely been used to analyze volatile compounds, owing to its integrated superiorities of excellent separation power, highly sensitive detection, and improved identification based on sufficient ion information [ 33 , 34 ]. Chromatographic fingerprints were commonly applied to the holistic quality assessment of TCMs [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Volatile Constituents in Root Tuber and Rhizome of Curcuma longa L. Using Fingerprints and Chemometrics Approaches on Gas Chromatography–Mass Spectrometry

et al. 2022

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The root tuber and rhizome of Curcuma longa L., abbreviated, respectively, as RCL and RHCL, are used as different medicines in China. In this work, volatile oils were extracted from RCL and RHCL. Then, gas chromatography–mass spectrometry (GC–MS) was used for RCL and RHCL volatile oils analysis, and 45 compounds were identified. The dominant constituents both in volatile oils of RCL and RHCL were turmerone, (−)-zingiberene, and β-turmerone, which covered more than 60% of the total area. The chromatographic fingerprint similarities between RCL and RHCL were not less than 0.943, indicating that their main chemical compositions were similar. However, there were also some compounds that were varied in RCL and RHCL. Based on the peak area ratio of 45 compounds, the RCL and RHCL samples were separated into principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Then, 20 compounds with a variable importance for the projection (VIP) value of more than 1 were the high potential contributors for RCL and RHCL differences. Furthermore, ferric ion-reducing antioxidant power (FRAP) assay results demonstrated that the volatile oils of RCL and RHCL had antioxidant activities. This study provided the material basis for the research of volatile components in RCL and RHCL and contributed to their further pharmacological research and quality control.

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High performance liquid chromatography fingerprint and headspace gas chromatography-mass spectrometry combined with chemometrics for the species authentication of Curcumae Rhizoma

Cited by 31 publications

References 27 publications

Rapid evaporative ionisation mass spectrometry (REIMS): A potential and rapid tool for the identification of insecticide resistance in mosquito larvae

Rapid evaporative ionisation mass spectrometry (REIMS): A potential and rapid tool for the identification of insecticide resistance in mosquito larvae

Combining network pharmacology with chromatographic fingerprinting and multicomponent quantitative analysis for the quality evaluation of Astragali Radix

Comparative Analysis of Volatile Constituents in Root Tuber and Rhizome of Curcuma longa L. Using Fingerprints and Chemometrics Approaches on Gas Chromatography–Mass Spectrometry

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