Comparative Metabolite Profiling and Fingerprinting of Medicinal Cinnamon Bark and Its Commercial Preparations via a Multiplex Approach of GC–MS, UV, and NMR Techniques

Farag, Mohamed A.; Khaled, Sally E.; Gingeehy, Zeina El; Shamma, Samir; Zayed, Ahmed

doi:10.3390/metabo12070614

Cited by 21 publications

(15 citation statements)

References 48 publications

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“…Examples include principal component analysis (PCA) and PLS. Such data analysis investigates multiple and interacting factors that help in identification and determination of potential markers specifically [ 55 , 56 ]. In relation to major primary and secondary metabolites quantified in our previous publications on these sprouts using MS and NMR [ 7 , 8 ], we attempted to use such a matrix for identification of active agents using chemometric tools.…”

Section: Resultsmentioning

confidence: 99%

Comparative Insights into Four Major Legume Sprouts Efficacies for Diabetes Management and Its Complications: Untargeted versus Targeted NMR Biochemometrics Approach

et al. 2022

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Interest in the consumption of seed sprouts is gradually increasing as functional foods in the modern Western diet owing to their several nutritional and health benefits. The present study aims to investigate four major legume sprouts derived from faba bean (Vicia faba L.), lentil (Lens esculenta L.), chickpea (Cicer arietinum L.), and fenugreek (Trigonella foenum-greacum L.) for their antidiabetic activity and mitigation of associated complications, i.e., oxidative stress, liver dysfunction, and lipid metabolism, compared with glibenclamide. Biochemical results presented herein further showed that the four sprouts exhibited significant hypoglycemic effects (p < 0.05), with improvement in decreasing of blood glucose levels at different degrees and with faba bean sprout most active at 348% improvement, compared to 364.3% for glibenclamide. Further biochemometric analysis based on a comparison between targeted versus untargeted partial least square (PLS) and regression analyses revealed that faba bean sprouts’ richness in flavonoids was a determinant key factor for such efficacy. In addition, correlation with previously investigated NMR fingerprinting aided in pinpointing other active agents, such as betaine and L-DOPA. Furthermore, the effect on serum liver enzymes, including alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase; oxidative stress markers; and lipid profiles showed significant improvement, especially in the case of faba bean sprout. The study revealed the potential health benefits of legume sprouts in the treatment of diabetes and its associated complications, as well as the potential role of biochemometrics in active agents’ identification in such a complex matrix to be considered for other functional foods investigation.

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Section: Resultsmentioning

confidence: 99%

Comparative Insights into Four Major Legume Sprouts Efficacies for Diabetes Management and Its Complications: Untargeted versus Targeted NMR Biochemometrics Approach

et al. 2022

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“…Chemometrics was used mainly to optimize the database's peak identification, in order to be able to widen its use when GC parameters were modified. Analyses on specific spices, with the aim of studying their geographical origin or possible adulterations, were mainly focused on saffron [28,49,50], cinnamon [51,52] and ginger [53,54].…”

Section: Gas Chromatography (Gc) and Chemometricsmentioning

confidence: 99%

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

et al. 2023

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Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical and data analysis tools that are able to optimize processes and combine multiple outputs. The use of chemometrics is growing, greatly improving the ability to extract meaningful information. Separation–multidetection generates multidimensional data, whose elaboration should not be left to the discretion of the operator. However, some applications or techniques still suffer from the lack of method optimization through DoE and downstream multivariate analysis, limiting their potential. This review aims at summarizing how chemometrics can assist analytical chemists in terms of data elaboration and method design, focusing on what can be achieved by applying chemometric approaches to separation science. Recent applications of chemometrics in separation analyses, in particular in gas, liquid and size-exclusion chromatography, together with field flow fractionation, will be detailed to visualize the state of the art of separation chemometrics, encompassing volatile, soluble and solid (colloidal) analytes. The samples considered will range from food chemistry and environmental chemistry to bio/pharmaceutical science.

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“…Thus, SPME presents a potential tool for VOCs analysis in the roots of tongkat ali especially considering its medium aroma. Coupled to SPME; gas chromatography with mass spectrometry (GC–MS) is the most suited for identification of aroma components 11 , 12 .…”

Section: Introductionmentioning

confidence: 99%

Integrated comparative metabolite profiling via NMR and GC–MS analyses for tongkat ali (Eurycoma longifolia) fingerprinting and quality control analysis

Serag

Zayed

Mediani

et al. 2023

Sci Rep

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Tongkat ali commonly known as Malaysian Ginseng (Eurycomalongifolia) is a herbal root worldwide available in nutraceuticals, either as a crude powder or capsules blended with other herbal products. Herein, a multiplexed metabolomics approach based on nuclear magnetic resonance (NMR) and solid-phase microextraction combined with gas chromatography–mass spectrometry (SPME–GC–MS) was applied for authentic tongkat ali extract vs some commercial products quality control analysis. NMR metabolite fingerprinting identified 15 major metabolites mostly ascribed to sugars, organic and fatty acids in addition to quassinoids and cinnamates. Following that, multivariate analysis as the non-supervised principal component analysis (PCA) and supervised orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied revealing that differences were related to fatty acids and 13,21-dihydroeurycomanone being more enriched in authentic root. SPME–GC–MS aroma profiling led to the identification of 59 volatiles belonging mainly to alcohols, aldehydes/furans and sesquiterpene hydrocarbons. Results revealed that aroma of commercial products showed relatively different profiles being rich in vanillin, maltol, and methyl octanoate. Whereas E-cinnamaldehyde, endo-borneol, terpinen-4-ol, and benzaldehyde were more associated to the authentic product. The present study shed the light for the potential of metabolomics in authentication and standardization of tongkat ali and identification of its true flavor composition.

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Comparative Metabolite Profiling and Fingerprinting of Medicinal Cinnamon Bark and Its Commercial Preparations via a Multiplex Approach of GC–MS, UV, and NMR Techniques

Cited by 21 publications

References 48 publications

Comparative Insights into Four Major Legume Sprouts Efficacies for Diabetes Management and Its Complications: Untargeted versus Targeted NMR Biochemometrics Approach

Comparative Insights into Four Major Legume Sprouts Efficacies for Diabetes Management and Its Complications: Untargeted versus Targeted NMR Biochemometrics Approach

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

Integrated comparative metabolite profiling via NMR and GC–MS analyses for tongkat ali (Eurycoma longifolia) fingerprinting and quality control analysis

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