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Introduction: Benincasa hispida (Thunb.) Cogn. (Cucurbitaceae) is an essential food plant in India possessing antihyperglycemic and antihyperlipidemic activities., Objective: The objective included comparative estimation of α-glucosidase and α-amylase enzyme inhibition potential of B. hispida fractions prepared by microwave-assisted extraction and prediction of metabolite interaction against non-insulin-dependent diabetes mellitus by metabolite profiling based network pharmacology analysis., Methods: A validated microwave-assisted extraction method was employed to obtain different fractions of B. hispida fruits. The in vitro enzyme assay was done with p-nitrophenyl-α-D-glucopyranoside and acarbose as standard to evaluate antidiabetic potential. The phytomolecules present in the active fraction were identified by UHPLC-QToF-MS/MS analysis. Network pharmacology analysis gave possible gene and disease association, combination synergy network, and predicted probable mechanism of action., Results: The highest enzyme inhibition potential (IC 50 ) was shown by the ethyl acetate fraction (0.546 ± 0.17 mg/mL and 1.134 ± 0.42 mg/mL) compared to acarbose (0.298 ± 0.08 mg/mL and 0.532 ± 0.38 mg/mL), respectively, for α-glucosidase and α-amylase addressing the potential role in ameliorating non-insulin-dependent diabetes mellitus. Metabolite profiling resulted in the identification of 17 metabolites, and a synergy between the identified molecules suggested multimolecule action in the amelioration of non-insulin-dependent diabetes mellitus through insulin resistance pathway, AMPK signaling pathway, PPAR signaling pathway, and PI3K-Akt signaling pathway. Combination synergy of identified molecules was observed through a multitarget approach to manage non-insulin-dependent diabetes mellitus., Conclusion: Polyphenol-enriched fraction of B. hispida fruits and identified phytocompounds ameliorate non-insulin-dependent diabetes mellitus. Thus, enriched extract of B. hispida can be further investigated in order to develop high-quality, safe, and effective products for the management of non-insulin-dependent diabetes mellitus., (© 2024 John Wiley & Sons, Ltd.)

Introduction: Ginger (Zingiber officinale Rosc.) varies widely due to varying concentrations of phytochemicals and geographical origin. Rapid non-invasive quality and traceability assessment techniques ensure a sustainable value chain., Objective: The objective of this study is the development of suitable machine learning models to estimate the concentration of 6-gingerol and check traceability based on the spectral fingerprints of dried ginger samples collected from Northeast India and the Indian market using near-infrared spectrometry., Methods: Samples from the market and Northeast India underwent High Performance Liquid Chromatographic analysis for 6-gingerol content estimation. Near infrared (NIR) Spectrometer acquired spectral data. Quality prediction utilized partial least square regression (PLSR), while fingerprint-based traceability identification employed principal component analysis and t-distributed stochastic neighbor embedding (t-SNE). Model performance was assessed using RMSE and R 2 values across selective wavelengths and spectral fingerprints., Results: The standard normal variate pretreated spectral data over the wavelength region of 1,100-1,250 nm and 1,325-1,550 nm showed the optimal calibration model with root mean square error of calibration and R 2 C (coefficient of determination for calibration) values of 0.87 and 0.897 respectively. A lower value (0.24) of root mean square error of prediction and a higher value (0.973) of R 2 P (coefficient of determination for prediction) indicated the effectiveness of the developed model. t-SNE performed better clustering of samples based on geographical location, which was independent of gingerol content., Conclusion: The developed NIR spectroscopic model for Indian ginger samples predicts the 6-gingerol content and provides geographical traceability-based identification to ensure a sustainable value chain, which can promote efficiency, cost-effectiveness, consumer confidence, sustainable sourcing, traceability, and data-driven decision-making., (© 2024 John Wiley & Sons Ltd.)

Introduction: Black rice (Oryza sativa L.), which is rich in polyphenols and flavonoids, is indigenous to Northeast India, specifically Manipur, and traditionally consumed for its protective effects on human health. Due to its economic value, it is crucial to evaluate the quality of different black rice varieties to authenticate their therapeutic and nutritional properties., Objective: We aimed to evaluate the quality of pre- and post-marketed black rice samples by a validated high-performance thin layer chromatography method and determine variations of total phenolics and total flavonoids with antioxidant potential., Material and Methods: The ferulic acid, gallic acid, quercetin, and caffeic acid contents of three black rice varieties-Poireiton, Amubi, and Sempak-along with two marketed samples of Amubi from Manipur, India, were quantified based on standards. Antioxidant potential was measured by the 2,2-diphenyl-1-picryl-hydrazyl hydrate free radical scavenging assay., Results: The highest and lowest relative biomarker contents were found in hydroalcoholic extracts of Amubi [caffeic acid (1.43% w/w), ferulic acid (1.15% w/w), quercetin (0.6% w/w), and gallic acid (0.39% w/w)] and the marketed sample Var. Amubi from Kakching District, respectively. Pearson's correlation coefficient of antioxidant potential with phenolic and flavonoid content showed a moderate to strong correlation for all samples., Conclusion: This validated, rapid, accurate standardization method for black rice varieties will be beneficial for the quality evaluation of black rice and its derived products. It will also be helpful to authenticate the nutritional benefits for the consumers., (© 2023 John Wiley & Sons Ltd.)

Introduction: Ginger constitutes the rhizome part of the plant Zingiber officinale from the Zingiberaceae family. A large number of ginger varieties with high sensorial and functional quality are found in Northeast India. Hence, phytopharmacological screening of different ginger varieties is essential that will serve as a guideline in applied research to develop high-end products and improve economical margins., Objective: To determine the variation in total phenolics content (TPC), total flavonoids content (TFC), and antioxidant activities and correlate that with 6-gingerol contents of different ginger varieties collected from Northeast India using Pearson's correlation analysis., Materials and Methods: The TPC and TFC values were determined using standard methods. Antioxidant activities were measured using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) and hydroxyl radical scavenging assays, while reversed-phase high-performance liquid chromatography (RP-HPLC) analysis was utilised for quantitative determination of 6-gingerol content., Results: The result revealed that ginger variety 6 (GV6) contains the highest 6-gingerol content and TPC value showing maximum antioxidant activity, followed by GV5, GV4, GV9, GV3, GV2, GV8, GV1, and GV7. The findings also suggested that the antioxidant activity has much better correlations with TPC as compared with TFC values. Pearson's correlation analysis showed a significant correlation between 6-gingerol contents and TPC values., Conclusion: This work underlines the importance of ginger varieties from Northeast India as a source of natural antioxidants with health benefits., (© 2023 John Wiley & Sons Ltd.)

Introduction: The major chemical marker of black pepper (Piper nigrum L) is piperine and its estimation is extremely important for quality assessment of black pepper. The methods for piperine quantification, to date, are laboratory based and use high end instruments like chromatographs, which require tedious sample processing and cause sample destruction., Objectives: In this article, we present a simple, rapid and green analytical method based on Raman spectroscopy for the quantitative assessment of piperine., Material and Methods: To assess the potential of the technique, we report the complete vibrational characterisation of the piperine with density functional theory (DFT) calculations., Results: The theoretical peaks were obtained at 1097 cm -1 , 1388 cm -1 , 1528 cm -1 , 1578 cm -1 , and at 1627 cm -1 , and this result was verified in a Raman spectrometer followed by a preliminary experiment. Twenty black pepper samples were analysed using high-performance liquid chromatography (HPLC) and used as reference data for Raman analysis. The Raman shift spectra were analysed using partial least squares (PLS) and good prediction accuracy with correlation coefficient of prediction (Rp 2 ) = 0.93, root mean square error of prediction (RMSEP) = 0.13 and residual prediction deviation (RPD) = 3.9 obtained., Conclusions: The results demonstrate the efficacy of the Raman technique for the estimation of piperine in the dry fruit of Piper nigrum., (© 2021 John Wiley & Sons, Ltd.)

Introduction: Immunity boosting has emerged as a global strategy to fight the SARS-CoV-2 pandemic situation. In India, AYUSH systems of medicine have been promoted as an immune-protection strategy. Andrographis paniculata (Burm. F) Nees (AP) mentioned in Ayurveda has been widely used for treating sore throat, flu, and upper respiratory tract infections which may provide possible novel therapeutic approaches, exclusively targeting SARS-CoV-2 and its pathways., Objectives: The present work uses liquid chromatography-tandem mass spectrometry (LC-MS/MS) metabolomics and combination synergy analysis based on network pharmacology to mine multimode evidence to understand the possible mechanism of action, diseases association, protein-protein interaction and major pathways involved therein., Material and Methods: Metabolite profiling was performed by Agilent QTOF LC-MS/MS system. Network pharmacology analysis was performed by using functional annotation analysis based on databases like Binding DB, STRING, DAVID and KEGG for further data mining. Further combination synergy was evaluated using "neighbourhood approach" and networks were constructed through Cytoscape 3.2.1., Results: The molecules from kalmegh provides immune-protection and anti-viral response via involving different pathways, like toll-like receptor pathway, PI3/AKT pathway and MAP kinase pathways against COVID-19 infection. The KEGG analysis showed that in a vast majority of the most enriched pathways, AP were associated with viral infections and upper respiratory tract infections., Conclusions: The results suggest a synergy between andrographolide and other molecules identified as safe and efficacious anti-inflammatory agent having effects on upper respiratory tract infections and can significantly decrease the production of cytokines and pro-inflammatory factors in viral infections., (© 2020 John Wiley & Sons, Ltd.)

Introduction: Lagenaria siceraria, is a popular food plant among Indians, contains a large number of phenolic compounds with several medicinal benefits, mentioned in Indian System of Medicine (ISM)., Objectives: To investigate the carbonic anhydrase inhibitory potential and inhibitory mechanism of the most potent fraction of L. siceraria fruits., Materials and Methods: The extract and fraction of dried fruit of L. siceraria screened for their in vitro carbonic anhydrase II (bCA II) inhibitory activity. The active fraction was purified by using flash chromatography. The bioactive compounds were identified and quantified through liquid chromatography quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS) and reverse-phase high-performance liquid chromatography (RP-HPLC). Finally, the underlying carbonic anhydrase inhibitory mechanism of the compounds was explained by enzyme kinetics and molecular docking study., Results: The LC-QTOF-MS based identification of the most active fraction revealed the presence of phenolic compounds. The results of the enzyme inhibition assay revealed that coniferyl alcohol, ferulic acid and p-Coumaric acid inhibited bCA II activity [half maximal inhibitory concentration (IC 50 ) value range of 80 to 250 μM) in a dose dependent manner. The kinetics study of enzyme inhibition revealed that p-Coumaric acid binds to the enzyme competitively whereas the non-competitive type of inhibition was observed for ferulic acid and coniferyl alcohol. The molecular docking study explored the interaction mechanism of phenolic compounds at the active site of bCA II., Conclusion: The present research led us to conclude that, the phenolic compounds from L. siceraria serve as major contributors for carbonic anhydrase inhibition, which could play a useful role in the management of oedema, hypertension, obesity and related metabolic disorders., (© 2020 John Wiley & Sons, Ltd.)

Introduction: Luffa acutangula (L.) Roxb, commonly known as ridge gourd (cucurbitaceae), is a common vegetable cultivated in India. It is also a well-used medicinal plant in Indian traditional medicine., Objectives: To analyse the phenolics content of the most potent carbonic anhydrase-inhibiting fraction from an extract of L. acutangula., Materials and Methods: An aqueous ethanol extract of dried fruits of L. acutangula was successively fractionated into petroleum ether, dichloromethane and ethyl acetate. The extract and subsequent fractions were assessed for carbonic anhydrase-inhibitory activity and the enzyme inhibition kinetics were determined for the most active fraction. Total phenolic and flavonoid content of the extract and subsequent fractions were determined spectrophotometrically. Ultra-performance liquid chromatography-quadrupole/time-of-flight mass spectrometry (UPLC-QTOF-MS) analysis was used to tentatively identify the major phenolics in the most active fraction., Results: The concentration of total phenolics and total flavonoids in the extract and each fraction thereof correlated with the level of carbonic anhydrase inhibition activity. The ethyl acetate fraction of the aqueous ethanol extract of L. acutangula had the highest carbonic anhydrase inhibition activity. The enzyme kinetics analysis indicated a mixed mode of inhibition. UPLC-QTOF-MS analysis of the ethyl acetate fraction indicated a number of phenolic acids, hydroxycoumarins, flavones, flavanones, and flavonoids., Conclusion: The correlation of total phenolic content with carbonic anhydrase inhibition suggested further research that might confirm that phenolic compounds of L. acutangula offer potential therapeutic benefits against carbonic anhydrase-related disorders., (© 2018 John Wiley & Sons, Ltd.)

Introduction: Betulinic acid (pentacyclic triterpenoid) is an important marker component present in Nelumbo nucifera Gaertn. rhizome. N. nucifera rhizome has several medicinal uses including hypoglycaemic, antidiarrhoeal, antimicrobial, diuretic, antipyretic, psychopharmacological activities., Objective: To establish a simple, sensitive, reliable, rapid and validated high-performance thin-layer chromatography method for estimation of betulinic acid in hydro-alcoholic extract of N. nucifera Gaertn. rhizome., Materials and Methods: The separation was carried out on a thin-layer chromatography aluminium plate pre-coated with silica gel 60F(254) , eluted with chloroform, methanol and formic acid (49 : 1 : 1 v/v). Post chromatographic derivatisation was done with anisaldehyde-sulphuric acid reagent and densitometric scanning was performed using a Camag TLC scanner III, at 420 nm., Results: The system was found to produce a compact spot for betulinic acid (R(f) = 0.30). A good linear precision relationship between the concentrations (2-10 µg) and peak areas were obtained with the correlation coefficient (r) of 0.99698. The limit of detection and limit of quantification of betulinic acid were detected to be 0.4 and 2.30 µg per spot. The percentage of recovery was found to be 98.36%. The percentage relative standard deviations of intra-day and inter-day precisions were 0.82-0.394 and 0.85-0.341, respectively., Conclusion: This validated HPTLC method provides a new and powerful approach to estimate betulinic acid as phytomarker in the extract., (Copyright © 2010 John Wiley & Sons, Ltd.)

A new, simple, sensitive, selective and precise HPTLC method has been developed for the determination of taraxerol in Clitoria ternatea L. Determination of taraxerol was performed on TLC aluminium plates. Linear ascending development was carried out in twin trough glass chamber saturated with hexane and ethyl acetate (80:20 v/v). The plate was then dried and sprayed with anisaldehyde reagent. A Camag TLC scanner III was used for spectrodensitometric scanning and analysis at 420 nm. The system was found to give compact spots for taraxerol (R(f) 0.53). The calibration plot was linear in the range of 100-1200 ng of taraxerol. The correlation coefficient of 0.9961 was indicative of good linear dependence of peak area on concentration. The concentration of taraxerol was found to be 12.4 mg/g w/w in the hydroalcoholic extract of C. ternatea root. To study the accuracy and precision of the method, recovery studies were performed. Recovery values from 99.65 to 99.74% showed excellent reliability and reproducibility of the method. The limits of detection and quantification were determined to be 31 and 105 ng/spot, respectively. The proposed HPTLC method for quantitative monitoring of taraxerol in C. ternatea can be used for routine quality testing of C. ternatea extract used in Ayurvedic formulations.