Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography–time-of-flight–mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition

Tianniam, Sukanda; Tarachiwin, Lucksanaporn; Bamba, Takeshi; Kobayashi, Akio; Fukusaki, Eiichiro

doi:10.1263/jbb.105.655

Cited by 56 publications

(40 citation statements)

References 22 publications

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“…In our previous studies, we successfully employed the use of GC-MS combinatorial to metabolic profiling for elucidating the discrimination between various angelica root samples [17]. Despite GC-MS being considered the most mature technology [16,18] having high throughput capability, sensitivity, reproducibility and repeatability [19], GC-MS was limited to analyzing only hydrophilic, low molecular weight compounds (primary metabolites).…”

Section: Introductionmentioning

confidence: 99%

Non‐targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time‐of‐flight mass spectrometry

Tianniam

Bamba

Fukusaki³

2009

J of Separation Science

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The potential of ultra-performance (UP)LC-TOF-MS based metabolite fingerprinting was explored in the attempt to establish a standard methodology for the quality control of dried angelica roots (Angelica acutiloba) in commercial markets. Accurate mass chromatographic fingerprints of positive and negative ion modes were collected simultaneously at a high-throughput manner with high resolution and sensitivity, where analysis of hydrophobic, low molecular weight compounds, which includes secondary metabolites, could be achieved. The comparison of various metabolite profiles was performed through the use of chemometric technique, in which distinct partitioning of root samples was effectively achieved by principal component analysis. The discrimination was illustrated to have been subjective to cultivation area and was reported to be an important influential factor for quality determination. Further insights to the chemical constituents in relation to quality were attained where some ion markers significantly linked to dissociation of angelica roots were tentatively identified as some secondary metabolites. Reliable classification models by partial least square discriminant analysis gave good capability in categorizing test set samples. Overall, through the utilization of UPLC-TOF-MS, analysis could be attained with great sufficiency and accuracy for angelica root discrimination.

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Section: Introductionmentioning

confidence: 99%

Non‐targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time‐of‐flight mass spectrometry

Tianniam

Bamba

Fukusaki³

2009

J of Separation Science

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“…For metabolic fingerprinting, liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance (1H NMR) are frequently used techniques. In various fields of plant research, LC-MS as a technique for fingerprinting was applied such as plant biochemistry [28], food chemistry [29], chemotaxonomy [30] and for establishing a control over quality of medicinal plants [31]. Over the past 50 years, spectroscopic techniques coupled with some good extraction methods like chromatography have contributed natural product chemistry to a phenomenal success.…”

Section: Biochemical Profiling and Related Techniquesmentioning

confidence: 99%

Bioactive Compounds from Medicinal Plants and Their Importance in Drug Discovery in Pakistan

Mustafa¹,

Arif²,

Atta³

et al. 2017

Matrix sci. pharma

110

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Humans have relied on nature throughout their ages to cater for their basic needs including medicines to cure a wide spectrum of diseases. Plants have formed the basis for sophisticated systems of traditional medicines. For therapeutic agents many of the presently known lead compounds are natural products or their derivatives. Ethnomedicinal studies play a vital role to discover new drugs from indigenous medicinal plants. Green pharmaceuticals are getting popularity and extraordinary importance because vast opportunities for new drug discoveries are provided by the unmatched availability of chemical diversity and natural products either as pure compounds or as homogenous plant extracts. Therefore, in recent years the demand for herbal medicines and several natural products from a variety of plant species is consistently increasing. In spite of being an agricultural country and having different ecological regions, the medicinal plants of Pakistan have not been explored for their secondary metabolites which are responsible for treating different diseases. Although, huge importance of different extracts of medicinal plants from Pakistan have been reported for their different activities such as antimicrobial, anti-cancerouse, antiviral and antioxidant but complete biochemical profiling of these medicinal plants is lacking. LC-MS and GC-MS techniques have been applied in the field of drug discovery from medicinal plants but in Pakistan its success rate is very low in the subject of biochemical profiling. Therefore, such techniques should be used in Pakistan to explore active constituents from medicinal plants which could be used as medicines in future.

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“…As a result, the good prediction models were successfully established. [29][30][31][32] e other topic is about "Senkyu," which is also commonly used for female patients who su er from chronicallydiseased unidenti ed complaints. "Senkyu" has been dened as "a hot water washed rhizome" of Cnidium o cinale plant.…”

Section: Application To Quality Analysis Of Traditional Herbal Medicinementioning

confidence: 99%

Application of Metabolomics for High Resolution Phenotype Analysis

Fukusaki

2014

Mass Spectrometry

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Metabolome, a total pro le of whole metabolites, is placed on downstream of proteome. Metabolome is thought to be results of implementation of genomic information. In other words, metabolome can be called as high resolution phenotype. e easiest operation of metabolomics is the integration to the upstream ome information including transcriptome and/or proteome. ose trials have been reported at a certain scienti c level. In addition, metabolomics can be operated in stand-alone mode without any other ome information. Among metabolomics tactics, the author's group is particularly focusing on metabolic ngerprinting, in which metabolome information is employed as explanatory variant to evaluate response variant. Metabolic ngerprinting technique is expected not only for analyzing slight di erence depending on genotype difference but also for expressing dynamic variation of living organisms. e author introduces several good examples which he performed. ose are useful for easy understanding of the power of metabolomics. In addition, the author mentions the latest technology for analysis of metabolic dynamism. e author's group developed a facile analytical method for semi-quantitative metabolic dynamism. e author introduces the novel method that uses time dependent variation of isotope distribution based on stable isotope dilution.

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Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography–time-of-flight–mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition

Cited by 56 publications

References 22 publications

Non‐targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time‐of‐flight mass spectrometry

Non‐targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time‐of‐flight mass spectrometry

Bioactive Compounds from Medicinal Plants and Their Importance in Drug Discovery in Pakistan

Application of Metabolomics for High Resolution Phenotype Analysis

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