Discovery of Quality Markers of Nucleobases, Nucleosides, Nucleotides and Amino Acids for Chrysanthemi Flos From Different Geographical Origins Using UPLC–MS/MS Combined With Multivariate Statistical Analysis

Chang, Xiangwei; Zhang, Zhenyu; Yan, Hui; Su, Shulan; Wei, Dandan; Guo, Sheng; Shang, Erxin; Sun, Xiaodong; Gui, Shuangying; Duan, Jin‐Ao

doi:10.3389/fchem.2021.689254

Cited by 5 publications

(4 citation statements)

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“…Asparagine and glutamine were abundant in C. dichrum leaves, flower buds, and blooming flowers (Liu et al, 2021a). Among 28 nucleobases, nucleosides, nucleotides and amino acids of CM of nine geographical origins, eight crucial quality markers, i.e., 2′-deoxyadenosine, guanosine, adenosine 3′,5′cyclic phosphate (cAMP), guanosine 3′,5′-cyclic monophosphate (cGMP), arginine, proline, glutamate and tryptophan, were identified (Chang et al, 2021), which could be used to discriminate geographical origin of CM.…”

Section: Nutrition Constituentsmentioning

confidence: 99%

The genus Chrysanthemum: Phylogeny, biodiversity, phytometabolites, and chemodiversity

et al. 2022

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The ecologically and economically important genus Chrysanthemum contains around 40 species and many hybrids and cultivars. The dried capitulum of Chrysanthemum morifolium (CM) Ramat. Tzvel, i.e., Flos Chrysanthemi, is frequently used in traditional Chinese medicine (TCM) and folk medicine for at least 2,200 years. It has also been a popular tea beverage for about 2,000 years since Han Dynasty in China. However, the origin of different cultivars of CM and the phylogenetic relationship between Chrysanthemum and related Asteraceae genera are still elusive, and there is a lack of comprehensive review about the association between biodiversity and chemodiversity of Chrysanthemum. This article aims to provide a synthetic summary of the phylogeny, biodiversity, phytometabolites and chemodiversity of Chrysanthemum and related taxonomic groups, focusing on CM and its wild relatives. Based on extensive literature review and in light of the medicinal value of chrysanthemum, we give some suggestions for its relationship with some genera/species and future applications. Mining chemodiversity from biodiversity of Chrysanthemum containing subtribe Artemisiinae, as well as mining therapeutic efficacy and other utilities from chemodiversity/biodiversity, is closely related with sustainable conservation and utilization of Artemisiinae resources. There were eight main cultivars of Flos Chrysanthemi, i.e., Hangju, Boju, Gongju, Chuju, Huaiju, Jiju, Chuanju and Qiju, which differ in geographical origins and processing methods. Different CM cultivars originated from various hybridizations between multiple wild species. They mainly contained volatile oils, triterpenes, flavonoids, phenolic acids, polysaccharides, amino acids and other phytometabolites, which have the activities of antimicrobial, anti-viral, antioxidant, anti-aging, anticancer, anti-inflammatory, and closely related taxonomic groups could also be useful as food, medicine and tea. Despite some progresses, the genetic/chemical relationships among varieties, species and relevant genera have yet to be clarified; therefore, the roles of pharmacophylogeny and omics technology are highlighted.

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Section: Nutrition Constituentsmentioning

confidence: 99%

The genus Chrysanthemum: Phylogeny, biodiversity, phytometabolites, and chemodiversity

et al. 2022

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“…An optimized UPLC‐MS/MS approach was established in this study by assessing the linearity, LODs, LOQs, precision, repeatability, stability, recovery, and matrix effects [24]. The relevant results are shown in Tables S1 and 2.…”

Section: Methodsmentioning

confidence: 99%

Quantitative analysis of nutrients for nucleosides, nucleobases, and amino acids hidden behind five distinct regions‐derived Poria cocos using ultra‐performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry

Zhao

Bian

Shan³

et al. 2022

J of Separation Science

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Poria cocos is an edible fungus used as a health product and traditional Chinese medicinal preparation. Nevertheless, little is known about its nutrients. In this study, ultra‐high performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry was conducted to quantify nucleosides, nucleobases, and amino acids in 32 batches of Poria cocos samples collected from Anhui, Sichuan, Hubei, Hunan, and Guizhou. Subsequently, the linearity, precision, repeatability, stability, and recovery of our methods were validated. Samples from different regions were clearly separated by partial least squares discriminant analysis and cluster analysis. Our results suggested that Poria cocos samples from different geographical environments differed in nucleosides, nucleobases, and amino acids. The plot of variable importance for projection disclosed differential compositions of L‐Leucine, Uridine, L‐Asparagine, L‐Glutamine, L‐phenylalanine, L‐Ornithine monohydrochloride, L‐Hydroxyproline, Taurine, and Inosine in Poria cocos from five regions. We found the highest content of total analytes, total amino acids, and total non‐essential amino acids in Poria cocos from Anhui, total essential amino acids in the Sichuan samples, and total nucleosides in the Hunan samples. Overall, we determined the content of Poria cocos‐derived nucleosides, nucleobases, and amino acids, providing the foothold for further chemical mining and use of Poria cocos.

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“…As a widely used method, SVM has been successfully applied in the quality control of TCM with satisfactory classification and prediction accuracy [20]. In this work, an SVM model was developed to discriminate and predict the ginsengs from cultivation regions, using the peak areas and normalized data of 69 characteristic ginsenosides as input vectors and regions as outputs.…”

Section: Svm Analysismentioning

confidence: 99%

“…Recently, the combination of UHPLC-MS and support vector machines (SVM) has been considered as a valid method for the authentication of species and the identification of origins for Traditional Chinese Medicines (TCMs), with satisfactory accuracy [19,20]. For instance, Zhao et al [19] managed to distinguish different varieties of ginsengs using UHPLC-MS integrated with SVM and accurately distinguished the red ginseng from other ginseng samples (white ginseng, Panax quinquefolium, and Panax notoginseng) after sufficient training.…”

Section: Introductionmentioning

confidence: 99%

Rapid Discrimination and Prediction of Ginsengs from Three Origins Based on UHPLC-Q-TOF-MS Combined with SVM

Zhang

Liu

et al. 2022

Molecules

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Ginseng, which contains abundant ginsenosides, grows mainly in the Jilin, Liaoning, and Heilongjiang in China. It has been reported that the quality and traits of ginsengs from different origins were greatly different. To date, the accurate prediction of the origins of ginseng samples is still a challenge. Here, we integrated ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) with a support vector machine (SVM) for rapid discrimination and prediction of ginseng from the three main regions where it is cultivated in China. Firstly, we develop a stable and reliable UHPLC-Q-TOF-MS method to obtain robust information for 31 batches of ginseng samples after reasonable optimization. Subsequently, a rapid pre-processing method was established for the rapid screening and identification of 69 characteristic ginsenosides in 31 batches ginseng samples from three different origins. The SVM model successfully distinguished ginseng origin, and the accuracy of SVM model was improved from 83% to 100% by optimizing the normalization method. Six crucial quality markers for different origins of ginseng were screened using a permutation importance algorithm in the SVM model. In addition, in order to validate the method, eight batches of test samples were used to predict the regions of cultivation of ginseng using the SVM model based on the six selected quality markers. As a result, the proposed strategy was suitable for the discrimination and prediction of the origin of ginseng samples.

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Discovery of Quality Markers of Nucleobases, Nucleosides, Nucleotides and Amino Acids for Chrysanthemi Flos From Different Geographical Origins Using UPLC–MS/MS Combined With Multivariate Statistical Analysis

Cited by 5 publications

References 48 publications

The genus Chrysanthemum: Phylogeny, biodiversity, phytometabolites, and chemodiversity

The genus Chrysanthemum: Phylogeny, biodiversity, phytometabolites, and chemodiversity

Quantitative analysis of nutrients for nucleosides, nucleobases, and amino acids hidden behind five distinct regions‐derived Poria cocos using ultra‐performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry

Rapid Discrimination and Prediction of Ginsengs from Three Origins Based on UHPLC-Q-TOF-MS Combined with SVM

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