Discrimination of <i>Polygonatum</i> species and identification of novel markers using <sup>1</sup>H NMR‐ and UPLC/Q‐TOF MS‐based metabolite profiling

Lee, Min Young; Moon, Byeong Cheol; Kwon, Yong-Kook; Jung, Youngae; Oh, Tae Kyu; Hwang, Geum‐Sook

doi:10.1002/jsfa.7580

Cited by 9 publications

(2 citation statements)

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“…The therapeutic effects of herbal medicines are closely associated with their chemical elements (O'Brien and Luis Vitetta, ). Variations in the chemical composition of plants have been attributed to various factors such as abiotic stress, growth conditions, different phenological stages, and genetic (Filippini et al ., ; Jordán et al ., ; Lee et al ., ). To optimise the processing of wild‐harvested plant materials it will therefore be important to determine their chemical profiles, both qualitatively and quantitatively.…”

Section: Introductionmentioning

confidence: 97%

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Kim

Nam

Hwang

2017

Phytochemical Analysis

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ABSTRACT:Introduction -Cirsium chanroenicum and C. setidens are commonly used both in traditional folk medicine and as a food source. The quality of different species of Cirsium at different harvest times is a function of their metabolite composition, which is determined by the phenological stage. Objective -We sought to determine the differences in the metabolite composition of two species of Cirsium during different phenological stages using ultra-performance liquid chromatography (UPLC) quadrupole time-of-flight (QTOF) mass spectrometry (MS). Methodology -Cirsium chanroenicum and C. setidens plants were collected at the floral budding and full flowering stages. Metabolic profiles of Cirsium extracts were determined using UPLC-QTOF/MS to characterise the differences between phenological stages, and the major metabolites were quantified using UPLC-QTOF/MS-multiple reaction monitoring (MRM). Results -At the full flowering stage, the levels of phenolic acids as well as components of the phenylpropanoid pathway were increased. Flavonoids predominated at the full flowering stage in both species. The levels of coumaric acid, kaempferol, and pectolinarigenin differed between the two species of Cirsium. Overall, these results suggest that components of the phenylpropanoid metabolic pathway are upregulated in the full flowering stage in Cirsium, although we did observe some variation between the species. Conclusion -These results will help elucidate the metabolic pathways related to the different phases of the vegetative cycle, and may help determine the optimal season for the harvest of Cirsium with the highest levels of bioactive compounds.

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Section: Introductionmentioning

confidence: 97%

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Kim

Nam

Hwang

2017

Phytochemical Analysis

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“…Metabolomic based NMR has been used to analyze various plants. It has been used to analysis metabolites profiling of grape berry (Ali, Maltese, Fortes et al, 2011), green tea (Lee et al, 2015), Polygonatum species (Lee et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Metabolomic Study of Three Species in Zingiberaceae Family based on 1H-NMR

et al. 2019

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Zingiberaceae is an economical plant and widely used as traditional medicines. Its rhizomes have been reported to have biological effects due to their metabolites content. However, metabolites profiling in Zingiberaceae has been little reported comprehensively. Therefore, this study aimed to profile primary and secondary metabolite of three species Zingiberaceae rhizomes (Zingiber amaricans BI, Zingiber officinale Roscoe, and Alpinia purpurata (Vieill.) K.Schum using 1H-NMR-based metabolomic approach. All samples were collected from local farmer located in Nguter, Sukoharjo, Central Java. Multivariate statistical analysis and ANOVA applied to measure the differences. It resulted that metabolite profiling discriminated between Zingiber and Alpinia samples. Fructose, α-glucose, β-glucose, sucrose, malic acid, alanine, valine, and shogaol contributed in discrimination between Z. amaricans BI, Z. officinale Roscoe, and A. purpurata (Vieill.) K.Schum. Sugar (α-glucose, β-glucose, fructose, and sucrose) and malic acid were significantly higher in Alpinia than in Zingiber samples. Relative concentration of amino acids (alanine and valine) and shogaol were significantly higher in Z. officinale. This result might be useful for databases and supplementary informations in Z. amaricans, Z. officinale, and A. purpurata taxonomy classifications.

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NMR-based leaf metabolic profiling of V. planifolia and three endemic Vanilla species from the Peruvian Amazon

et al. 2021

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Discrimination of Polygonatum species and identification of novel markers using ¹H NMR‐ and UPLC/Q‐TOF MS‐based metabolite profiling

Abstract: The results demonstrate that metabolite profiling approaches coupled with chemometric analysis can be used to classify and discriminate between different species of various herbal medicines. © 2015 Society of Chemical Industry.

Cited by 9 publications

References 32 publications

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Metabolomic Study of Three Species in Zingiberaceae Family based on 1H-NMR

NMR-based leaf metabolic profiling of V. planifolia and three endemic Vanilla species from the Peruvian Amazon

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Discrimination of Polygonatum species and identification of novel markers using 1H NMR‐ and UPLC/Q‐TOF MS‐based metabolite profiling

Abstract: The results demonstrate that metabolite profiling approaches coupled with chemometric analysis can be used to classify and discriminate between different species of various herbal medicines. © 2015 Society of Chemical Industry.

Cited by 9 publications

References 32 publications

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Metabolic Alterations in Two Cirsium Species Identified at Distinct Phenological Stages using UPLC‐QTOF/MS

Metabolomic Study of Three Species in Zingiberaceae Family based on 1H-NMR

NMR-based leaf metabolic profiling of V. planifolia and three endemic Vanilla species from the Peruvian Amazon

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Discrimination of Polygonatum species and identification of novel markers using ¹H NMR‐ and UPLC/Q‐TOF MS‐based metabolite profiling