Introduction
Plants have been used for medicine and food since ancient times (Elmastas et al. 2004; Hadjra et al. 2023; Topçu et al. 1999). The development of spectroscopy and chromatography has made plants the subject of science (Demirtas et al. 2013). Metabolites found in plants form the basis of drug development (Sahin Yaglioglu et al. 2013). Additionally, secondary metabolites have inspired synthetic chemists to synthesize them (Lu et al. 2014). Intensive studies have been continued to isolate natural compounds from plants and to synthesize them in laboratories (Okten et al. 2015). In addition, natural compounds have been functionalized to yield semi-synthetic compounds. Hence, it has been aimed at increasing biological and pharmaceutical efficiency (Newman and Cragg 2007).
Quantifying phenolic compounds in plants is crucial. Phenolic compounds play various roles in plant physiology, including defense against pathogens and herbivores, UV protection, and pigmentation. Quantifying phenolics helps researchers understand how plants respond to stressors and environmental cues (Erenler et al. 2023). Moreover, many phenolic compounds have antioxidant properties and are linked with health benefits in humans, such as reducing the risk of chronic diseases like cancer and cardiovascular disorders. Quantifying phenolics helps in assessing the nutritional and medicinal value of plant-based foods and herbal medicines (Atalar et al. 2023). Quantifying phenolic compounds is essential for ensuring the quality and authenticity of agricultural products and food items. For instance, it can help detect adulteration, assess the freshness of produce, and determine the shelf life of processed foods (Erenler et al. 2015).
Astragalus L. genus belonging to the Leguminosae family is extensively distributed throughout the world, grown mainly in Europe, Asia, and North America. This genus is represented by 850 species. Astragalus species were reported to include saponins as major bioactive constituents. This genus has been used as folk medicine to treat different illnesses such as diabetes, respiratory infections, and leukemia (Sahin Yaglioglu et al. 2022).
Plant secondary metabolites can be categorized into several main groups based on their chemical structures and biosynthetic pathways (Elmastaş et al. 2015). Phenolics include flavonoids, phenolic acids, tannins, lignans, and lignins. They often contribute to the color, flavor, and antioxidant properties of plants. Terpenoids are derived from isoprene units and include compounds such as monoterpenes, sesquiterpenes, diterpenes, triterpenes, and steroids. They are diverse and play a role in defense, signaling, and attracting pollinators (Reddy, Odhav, and Bhoola 2003).
Alkaloids are nitrogen-containing compounds with different structures and functions. Examples are caffeine, nicotine, morphine, and quinine. Alkaloids often have pharmacological effects and can act as repellents against herbivores. Glycosides consist of a sugar molecule (glycone) attached to a non-sugar moiety (aglycone). They are widespread in plants and can have various biological activities, including antimicrobial, antifungal, and cytotoxic properties (Li and Vederas 2009).
Free radicals are extremely reactive molecules, including unpaired electrons (Gecer and Erenler 2023). Because of this unpaired electron, free radicals are unstable and seek to stabilize themselves by either donating or accepting an electron from other molecules, leading to a chain reaction of oxidative damage. These molecules are naturally produced in the body during various metabolic processes, such as cellular respiration and immune response. Additionally, they can be generated by external sources like exposure to UV radiation, pollution, tobacco smoke, and certain chemicals (Aissous et al. 2023). Antioxidants, including some phenolic compounds, and enzymes help neutralize free radicals by donating electrons without becoming destabilized themselves (Guzel et al. 2017). Consuming a diet rich in antioxidants or using antioxidant supplements may help mitigate the harmful effects of free radicals and reduce the risk of associated health problems. Consuming a diet rich in antioxidant-rich foods is important for maintaining optimal health and reducing the risk of chronic diseases (Elmastas et al. 2018). Due to the bacterial resistance problem worldwide, there is a need to investigate new beneficial agents with broad-spectrum antibacterial activity (Karan et al. 2024a).
In this study, quantitative analysis of phenolic compounds was determined from flowers, leaves, and stems of
Material and Methods
Plant Materials
Extraction of Plant Material
Quantitative Analysis of Natural Compounds
LC–MS/MS (Agilent Technologies) with A Poroshell 120 SB-C18 column was employed for quantitative analysis of natural compounds in flowers, leaves, and stems of the Astragalus onobrychis. Each sample (50 mg) was dissolved in methanol (1.0 mL). After the addition of hexane, the mixture was centrifuged for 15 min. An aliquot (100 μL) was taken and diluted by adding methanol (450 μL) and water (450 μL). subsequently, after filtration (0.22 μm filter), the solution was applied to the device. Formic acid (0.1%) and ammonium formate (5.0 mM) in water A, formic acid (0.1%), and ammonium formate (5.0 mM) in methanol B were used as the mobile phase. The program was fixed as 0–5 min 50%, 6–12 min 70%, 13–25 min 90%, 26–30 min 5% for mobile phase B. The flow gas rate was adjusted as 11 L/min (Erenler, Karan, and Hosaflioglu 2023).
Antioxidant Activity
Antioxidant activity of flowers, leaves, and stems was conducted using ABTS, DPPH, and Hydroxyl radical scavenging assays. In ABTS radical scavenging assay, the stock solution of extract was prepared in methanol (1.0 mg/mL). The reaction was carried out in the phosphate buffer solution (500 mL). ABTS•+. The reaction of ABTS with sodium persulfate in the dark for 6 h at room temperature yielded the ABTS•+ radical cation solution. Later, the treatment was executed with the different concentrations of each sample (5–50 μg/mL) with the ABTS•+ solution.
In the DPPH assay, DPPH• solution in ethanol (0.26 mM) was treated with the sample at different concentrations (5–50 μg/mL, 3.0 mL). The reaction mixture was incubated at room temperature for 30 min, and then absorbance measurement (517 nm) was executed. The results were calculated as IC50.
In hydroxyl radical assay, the mixture of hydrogen peroxide (40 mM, 1.0 mL), phosphate buffer solution (pH 7.4, 0.04 M, 2.4 mL), and sample (100 μL) was carried out and incubated for 10 min. The absorbance was measured at 230 nm.
Bacterial Culture
The flowers, leaves, and stem parts of
Minimum Inhibition Concentration
The MIC of flowers, leaves, and stem parts of
Statistical Analysis
The statistical analysis was executed by GraphPad Prism. ANOVA test was applied, and multiple comparisons were conducted with the Tukey test (p > 0.05). The results were presented with mean ± standard deviation.
Results and Discussion
Quantitative analysis of phenolic compounds of flowers, leaves, and stems of
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TABLE 1 Quantitative analysis of natural compounds in the flowers, leaves, and stem of
No | Compounds | RT | Flowers | Leaves | Stem |
2 | Shikimic acid | 1.383 | nd | nd | nd |
3 | Gallic acid | 3.221 | nd | 0.003 | 0.003 |
4 | Protocatechuic acid | 5.467 | nd | nd | nd |
5 | Epigallocatechin | 6.815 | nd | nd | nd |
6 | Catechin | 6.904 | nd | nd | 0.001 |
7 | Chlorogenic acid | 7.443 | nd | 0.001 | nd |
8 | Hydroxybenzaldeyde | 7.697 | nd | 0.002 | 0.003 |
9 | Vanillic acid | 7.829 | nd | nd | nd |
10 | Caffeic Acid | 7.891 | nd | nd | nd |
11 | Syringic acid | 7.945 | 0.0086 | 0.022 | 0.041 |
12 | Caffeine | 8.498 | 0.0013 | nd | nd |
13 | Vanillin | 8.678 | nd | 0.002 | 0.005 |
14 | o-coumaric acid | 9.495 | 0.0022 | 0.003 | 0.001 |
15 | Salicylic Acid | 9.871 | 0.0035 | 0.015 | 0.022 |
16 | Taxifolin | 9.670 | nd | nd | nd |
17 | Resveratrol | 9.874 | nd | nd | nd |
18 | Polydatine | 9.897 | nd | nd | nd |
19 | Trans-ferulic acid | 10.182 | nd | 0.012 | 0.004 |
20 | Sinapic acid | 10.447 | nd | 0.003 | 0.004 |
21 | Scutellarin | 11.148 | nd | nd | nd |
22 | p-coumaric acid | 11.607 | nd | 0.001 | 0.001 |
23 | Coumarin | 11.173 | 0.0056 | 0.062 | 0.068 |
24 | Protocatehuic ethyl ester | 11.676 | nd | nd | nd |
25 | Hesperidin | 11.906 | 0.0061 | 0.047 | nd |
26 | Isoquercitrin | 11.735 | 0.0814 | 0.011 | 0.027 |
27 | Rutin | 12.375 | nd | 0.132 | nd |
28 | Quarcetin-3-xyloside | 12.770 | 0.0043 | nd | nd |
29 | Kaempferol-3-glucoside | 13.282 | 0.395 | 0.006 | 0.049 |
30 | Fisetin | 13.293 | 0.0073 | 0.002 | 0.003 |
31 | Baicalin | 13.923 | nd | nd | nd |
32 | Chrysin | 14.255 | nd | nd | nd |
33 | Daidzein | 14.558 | nd | nd | nd |
34 | Trans-cinnamic acid | 14.340 | nd | nd | nd |
35 | Quercetin | 14.931 | nd | nd | nd |
36 | Naringenin | 15.041 | 0.0012 | 0.003 | 0.004 |
37 | Silibinin | 15.800 | nd | nd | nd |
38 | Hesperetin | 15.848 | 0.0062 | 0.030 | 0.043 |
39 | Morin | 15.802 | nd | nd | nd |
40 | Kaempferol | 16.523 | nd | 0.010 | 0.013 |
41 | Baicalein | 17.101 | nd | nd | nd |
42 | Luteolin | 17.901 | nd | nd | nd |
43 | Biochanin A | 17.909 | nd | nd | nd |
44 | Capcaicin | 18.152 | nd | nd | nd |
45 | Dihydrocapcaicin | 18.716 | nd | nd | nd |
46 | Diosgenin | 23.533 | nd | nd | nd |
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Antioxidant activity of
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Kaempferol is a natural compound abundant in medicinal plants. Kaempferol and its derivatives were reported to display considerable biological activity, including antioxidant, antimicrobial, anticancer, and antidiabetic properties (Jan et al. 2022).
Phenolics play essential roles in plant physiology, including defense against pathogens, UV protection, and pigmentation. Quantitative analysis helps in understanding the distribution and concentration of these compounds in different plant tissues and under varying environmental conditions. Many phenolic compounds possess bioactive properties with potential applications in medicine, food, and agriculture. Quantitative analysis helps identify and quantify these compounds, which is essential for their utilization in various fields. Many studies were carried out on medicinal plants that revealed considerable antioxidant activities. Moreover, plant-based silver nanoparticles were reported to display excellent antioxidant effects (Erenler et al. 2021; Gecer 2021; Gecer et al. 2021; Rice-Evans, Miller, and Paganga 1997).
Antibacterial effects of flowers, leaves, and stem of
TABLE 2 Antimicrobial activity MIC (μg/mL).
Isolates | Flowers | Leaves | Stem | Amoxicillin |
|
10.5 | 21 | 42 | 10.5 |
|
21 | 42 | 84 | 21 |
|
10.5 | 21 | 84 | 21 |
|
21 | 42 | 42 | 21 |
Conclusion
Author Contributions
Ibrahim Hosaflioglu: resources (lead), software (lead), supervision (lead), validation (lead), visualization (lead), writing – original draft (lead), writing – review and editing (lead).
Conflicts of Interest
The author declares no conflicts of interest.
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author.
Aissous, I., M. Benrebai, S. Ameddah, et al. 2023. “The Preventive Effects of Centaurea Maroccana Ball. Extract Against Oxidative Stress Induced by Cisplatin in Mice Brains: In Vitro and In Vivo Studies.” Drug and Chemical Toxicology 46: 1162–1175. [DOI: https://dx.doi.org/10.1080/01480545.2022.2139841].
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Abstract
ABSTRACT
Plants play an essential role in the food and pharmaceutical industries. Plants show broad‐spectrum biological activity due to the bioactive compound contents. Hence, plants provide an essential contribution to drug invention and progress. In this study, phytochemical analysis and antioxidant effects of the
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