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Phytochemical Analysis and Metabolic Profiling in Plants
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Phytochemical Analysis and Metabolic Profiling in Plants

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Phytochemistry".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 4138

Special Issue Editors

Dr. Yulian Voynikov

E-Mail Website1 Website2 Website3
Guest Editor
Chemistry, Faculty of Pharmacy, Medical Unviersity, Sofia 1000, Bulgaria
Interests: LC-MS; metabolomics; data analysis; R programming; statistics
Special Issues, Collections and Topics in MDPI journals
Dr. Dimitrina Zheleva-Dimitrova

E-Mail Website
Guest Editor
Pharmacognosy, Faculty of Pharmacy, Medical Unviersity, Sofia 1000, Bulgaria
Interests: phytochemical analysis; LC-MS; plant metabolomics; pharmacognosy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Phytochemical analysis and metabolic profiling are essential in plant science. These techniques analyze the chemical composition of plants and identify secondary metabolites such as flavonoids, alkaloids, terpenoids, and phenolic compounds. Advances in analytical technologies have made it possible to use UHPLC-HRMS for phytochemical analysis and metabolic profiling, providing improved separation and detection of a wider range of compounds.

This upcoming issue of the scientific, peer-reviewed, open access journal “Plants”, titled “Phytochemical Analysis and Metabolic Profiling in Plants”, published by MDPI, will focus on the use of modern techniques for metabolic profiling of plant metabolites, as UHPLC-HRMS and modern data analysis methods. The issue will provide a platform for researchers to share their findings and insights in plant science. Articles covering a range of topics, such as the discovery of new metabolites and the development of new analytical methods, are welcome.

We also encourage the use of data analysis techniques, for processing and analyzing mass spectral data. Clustering techniques, such as hierarchical clustering and k-means clustering, and multivariate statistical techniques, such as PCA and PLS-DA, can also enhance the analysis of large and complex datasets.

This issue offers a unique opportunity for researchers to share their latest findings and advance the field of phytochemical analysis and metabolic profiling in plants.

Dr. Yulian Voynikov
Dr. Dimitrina Zheleva-Dimitrova
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Plants is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • phytochemical analysis
  • UHPLC-HRMS
  • clustering
  • data analysis
  • secondary metabolites

Published Papers (4 papers)

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Research

13 pages, 980 KiB  
Article
Antioxidant, Enzyme Inhibitory, and Protective Effect of Amelanchier lamarckii Extract
by Adela Maria Dăescu, Mădălina Nistor, Alexandru Nicolescu, Roxana Pop, Andrea Bunea, Dumitrita Rugina and Adela Pintea
Plants 2024, 13(10), 1347; https://doi.org/10.3390/plants13101347 - 13 May 2024
Abstract
The present study aimed to investigate the chemical content of Romanian juneberries (Amelanchier lamarckii), their effect on antioxidant and enzyme inhibition activities, and their bioaccessibility after simulated in-vitro digestion. In Amelanchier lamarckii extract (AME), 16 polyphenolic compounds were identified by LC-ESI+-MS [...] Read more.
The present study aimed to investigate the chemical content of Romanian juneberries (Amelanchier lamarckii), their effect on antioxidant and enzyme inhibition activities, and their bioaccessibility after simulated in-vitro digestion. In Amelanchier lamarckii extract (AME), 16 polyphenolic compounds were identified by LC-ESI+-MS analysis. The most representative compounds found in the extract were cyanidin-galactoside, 3,4-dihydroxy-5-methoxybenzoic acid, feruloylquinic acid, and kaempferol, all belonging to the anthocyanins, phenolic acids, and flavonols subclasses. The polyphenols of AME exert quenching abilities of harmful reactive oxygen species, as the CUPRAC antioxidant assay value was 323.99 µmol Trolox/g fruit (FW), whereas the FRAP antioxidant value was 4.10 μmol Fe2+/g fruit (FW). Enzyme inhibition assays targeting tyrosinase (IC50 = 8.843 mg/mL), α-glucosidase (IC50 = 14.03 mg/mL), and acetylcholinesterase (IC50 = 49.55 mg/mL) were used for a screening of AME’s inhibitory potential against these key enzymes as a common approach for the discovery of potential antidiabetic, skin pigmentation, and neurodegenerative effects. The screening for the potential antidiabetic effects due to the α-glucosidase inhibition was performed in glucose-induced disease conditions in a human retinal pigmented epithelial cell experimental model, proving that AME could have protective potential. In conclusion, AME is a valuable source of phenolic compounds with promising antioxidant potential and metabolic disease-protective effects, warranting further investigation for its use in the nutraceutical and health industries. Full article
(This article belongs to the Special Issue Phytochemical Analysis and Metabolic Profiling in Plants)
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13 pages, 2666 KiB  
Article
Investigation of Pharmacologically Important Polyphenolic Secondary Metabolites in Plant-based Food Samples Using HPLC-DAD
by Naheed Akhtar, Amna Jabbar Siddiqui, Muhammad Ramzan, Jalal Uddin, Mufarreh Asmari, Hesham R. El-Seedi and Syed Ghulam Musharraf
Plants 2024, 13(10), 1311; https://doi.org/10.3390/plants13101311 - 10 May 2024
Viewed by 310
Abstract
Polyphenolic compounds are vital components of plants. However, their analysis is particularly difficult and challenging due to their similar chemical and structural properties. In this study, we developed a simple and reproducible HPLC-DAD protocol for determining nineteen pharmacologically important polyphenols in plant-based food [...] Read more.
Polyphenolic compounds are vital components of plants. However, their analysis is particularly difficult and challenging due to their similar chemical and structural properties. In this study, we developed a simple and reproducible HPLC-DAD protocol for determining nineteen pharmacologically important polyphenols in plant-based food samples, including fruits (apple, banana, grapefruit, peach, grapes, plum, and pear), vegetables (onion, cabbage, capsicum, garlic, lemon, tomato, potato, and spinach), and other edible items (corn, kidney beans, green tea, black tea, and turmeric). The reference standards were pooled into four different groups based on logP values and expected retention time to avoid compound co-elution. These developed methods will be useful for the qualitative and quantitative analysis of biologically important polyphenolic compounds in various food samples and botanicals. Full article
(This article belongs to the Special Issue Phytochemical Analysis and Metabolic Profiling in Plants)
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23 pages, 3602 KiB  
Article
The Effect of Illumination Patterns during Mung Bean Seed Germination on the Metabolite Composition of the Sprouts
by Irina N. Perchuk, Tatyana. V. Shelenga and Marina. O. Burlyaeva
Plants 2023, 12(21), 3772; https://doi.org/10.3390/plants12213772 - 4 Nov 2023
Viewed by 1766
Abstract
Mung bean (Vigna radiata (L.) Wilczek) sprouts are popular over the world because of their taste, nutritional value, well-balanced biochemical composition, and other properties beneficial for human health. Germination conditions affect the composition of metabolites in mung bean sprouts, so a detailed [...] Read more.
Mung bean (Vigna radiata (L.) Wilczek) sprouts are popular over the world because of their taste, nutritional value, well-balanced biochemical composition, and other properties beneficial for human health. Germination conditions affect the composition of metabolites in mung bean sprouts, so a detailed study into its variability is required. This article presents the results of a comparison of the metabolite composition in the leaves of mung bean sprouts germinated first in the dark (DS) and then in the light (LS). Gas chromatography with mass spectrometry (GC–MS) made it possible to identify more than 100 compounds representing various groups of phytochemicals. Alcohols, amino acids, and saccharides predominated in the total amount of compounds. The analysis of metabolomic profiles exposed a fairly high intra- and intervarietal variability in the metabolite content. DS and LS differed in the qualitative and quantitative content of the identified compounds. The intravarietal variability was more pronounced in DS than in LS. DS demonstrated higher levels of saccharides, fatty acids, acylglycerols, and phenolic compounds, while amino acids were higher in LS. Changes were recorded in the quantitative content of metabolites participating in the response of plants to stressors—ornithine, proline, GABA, inositol derivatives, etc. The changes were probably induced by the stress experienced by the sprouts when they were transferred from shade to light. The analysis of variance and principal factor analysis showed the statistically significant effect of germination conditions on the content of individual compounds in leaves. The identified features of metabolite variability in mung bean genotypes grown under different conditions will contribute to more accurate selection of an illumination pattern to obtain sprouts with desirable biochemical compositions for use in various diets and products with high nutritional value. Full article
(This article belongs to the Special Issue Phytochemical Analysis and Metabolic Profiling in Plants)
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24 pages, 2322 KiB  
Article
Orbitrap Mass Spectrometry-Based Profiling of Secondary Metabolites in Two Unexplored Eminium Species and Bioactivity Potential
by Ebru Yuce Babacan, Dimitrina Zheleva-Dimitrova, Reneta Gevrenova, Abdelhakim Bouyahya, Mehmet Maruf Balos, Ugur Cakilcioglu, Kouadio Ibrahime Sinan and Gokhan Zengin
Plants 2023, 12(12), 2252; https://doi.org/10.3390/plants12122252 - 8 Jun 2023
Viewed by 1401
Abstract
The study aimed at the metabolite profiling and evaluation of antioxidant and enzyme inhibitory properties of methanol extracts from flowers, leaves, and tubers of unexplored Eminium intortum (Banks & Sol.) Kuntze and E. spiculatum (Blume) Schott (Araceae). A total of 83 metabolites, including [...] Read more.
The study aimed at the metabolite profiling and evaluation of antioxidant and enzyme inhibitory properties of methanol extracts from flowers, leaves, and tubers of unexplored Eminium intortum (Banks & Sol.) Kuntze and E. spiculatum (Blume) Schott (Araceae). A total of 83 metabolites, including 19 phenolic acids, 46 flavonoids, 11 amino, and 7 fatty acids were identified by UHPLC-HRMS in the studied extracts for the first time. E. intortum flower and leaf extracts had the highest total phenolic and flavonoid contents (50.82 ± 0.71 mg GAE/g and 65.08 ± 0.38 RE/g, respectively). Significant radical scavenging activity (32.20 ± 1.26 and 54.34 ± 0.53 mg TE/g for DPPH and ABTS) and reducing power (88.27 ± 1.49 and 33.13 ± 0.68 mg TE/g for CUPRAC and FRAP) were observed in leaf extracts. E. intortum flowers showed the maximum anticholinesterase activity (2.72 ± 0.03 mg GALAE/g). E. spiculatum leaves and tubers exhibited the highest inhibition towards α-glucosidase (0.99 ± 0.02 ACAE/g) and tirosinase (50.73 ± 2.29 mg KAE/g), respectively. A multivariate analysis revealed that O-hydroxycinnamoylglycosyl-C-flavonoid glycosides mostly accounted for the discrimination of both species. Thus, E. intortum and E. spiculatum can be considered as potential candidates for designing functional ingredients in the pharmaceutical and nutraceutical industries. Full article
(This article belongs to the Special Issue Phytochemical Analysis and Metabolic Profiling in Plants)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Elucidation of phloroglucinols from Helichrysum italicum by MS2 fragmentation analysis and clustering techniques
Authors: Yulian Voynikov
Affiliation: Chemistry, Faculty of Pharmacy, Medical Unviersity, Sofia 1000, Bulgaria
Abstract: Helichrysum italicum is a rich source of homo- and hetero-dimerc pyrone and phloroglucinol derivatives. Hetero-dimeric pyrones, consisting of a pyrone ring attached to a phlorogluconil derivative, may be of different types and could be classified as phloroglucinol alpha-pyrones, chromanonepyrones, chromenopyrones, and helispiroketals. Yet, despite the big chemical variety, the information in the literature regarding their MS2 characterization remains scarce, and limited to the most well characterized derivative – arzanol. Arzanol is found in many Helichrysum species and reported to possess antibacterial, anti-inflamatory, antioxidant, and anti-HIV-1 activities. In this article, we explore the elucidation of homo- and hetero-dimeric pyrone phloroglucinol derivatives in hydromethanolic extracts of Helichrysum italicum by analysing the MS2 fragmentation behavior along with employing data analysis and clustering techniques using the R programming language.

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