@article {1202, title = {Estimation of Antidiabetic Trace Elements in Some Commonly Consumed Plants of West Bengal}, journal = {Pharmacognosy Research}, volume = {16}, year = {2023}, month = {December 2023}, pages = {67-71}, type = {Original Article}, chapter = {67}, abstract = {

Introduction: Trace elements are required by human body in very minute quantities for normal functioning of the body. They are necessary and essential for good health. Trace elements mainly act as cofactors to different enzymatic reactions. Abnormalities in trace element levels in human body can possibly lead to dysfunctions and disorders. Diabetes is a myriad of metabolic disorder characterized by hyperglycemia. Trace elements are involved in different processes in control of diabetes such homeostasis of glucose and regulation of insulin despite being a small part of living tissues. Objectives: The present work is focused on determining the amount of zinc, chromium and selenium content of leaves of some commonly consumed plants in the state of West Bengal by using Atomic Absorption Spectroscopy and understanding their role as an anti-diabetic agent. Plants having medicinal properties are used in treatment of large number of diseases, including metabolic and cardiovascular disorders. Materials and Methods: Two methods were used for digestion of plant samples: Wet oxidation and Dry ashing followed by AAS analysis. Conclusion: The study explored that Mentha spicata L. has maximum contribution to diabetes because of its significant content of anti-diabetic trace elements. The result can be useful for nutritional suggestion for diabetes patients as well as for the preparation of herbal formulation for diabetes mellitus in future.

}, keywords = {Anti-diabetic, Chromium, Selenium, Trace elements, Zinc}, doi = {10.5530/pres.16.1.9}, author = {Bhargab Sarma and Prerona Saha and Sourav Deka} } @article {1093, title = {Quantitative Estimation of Immunomodulatory Flavonoid Quercetin by HPTLC in Different Leafy Vegetables Available in West Bengal}, journal = {Pharmacognosy Research}, volume = {14}, year = {2022}, month = {October 2022}, pages = {423-428}, type = {Original Article}, chapter = {423}, abstract = {

Introduction: Leafy vegetables are commonly consumed medicinal plants used in various metabolic and infectious diseases. Additionally, their antiviral, antioxidant, anticancer, and antihypertensive activities have been reported in the literature. Objectives: To determine the quantity of immunomodulatory flavonoid, quercetin in different types of leafy vegetables available in West Bengal by using a simple validated HPTLC method. Materials and Methods: The chromatographic analysis was performed by using aluminium-backed silica gel 60 F254 plates with Toluene{\textendash}Ethyl acetate{\textendash}Formic acid 5:4:0.2 (\%v/v) as the mobile phase. The method was validated according to the ICH guidelines. Results: The total flavonoid content (TFC) in the four leafy vegetables studied varied between 58.10 to 12.28 mg QE/g. Well-separated and compact spots (Rf) of quercetin (0.55{\textpm}0.03) were detected. The regression equation obtained was y = 0.0011x - 0.0569, with a correlation coefficient (R{\texttwosuperior}) of 0.9939. The linearity range (μg/spot) was 60-160. The LOD/LOQ (ng/spot) was 6.09/18.47. Murraya koenigii (0.1992{\textpm}0.037 \%w/w) contained the maximum amount of quercetin compared to Ipomoea aquatic (0.1501{\textpm}0.039\%w/w), Coriandrum sativum (0.1430{\textpm}0.061\%w/w) and Trigonella foenum- graecum (0.1201{\textpm}0.055\%w/w) in methanolic extract. Conclusion: This study revealed that the validated HPTLC method was simple, accurate and sensitive for separating and quantifying quercetin in different leaf vegetables. Quercetin content was highest in Murraya koenigii (0.1992{\textpm}0.037 \%w/w), and least in Trigonella foenum-graecum (0.1201{\textpm}0.055 \%w/w). The developed method might be used further in standardizing and quality control of secondary metabolites in herbal formulations

}, keywords = {Flavonoid, HPTLC, Leafy vegetables, Quercetin}, doi = {10.5530/pres.14.4.62}, author = {Tushar Adhikari and Prerona Saha} }