Synthesis of Poly(GG-co-AAm-co-MAA), a Terpolymer Hydrogel for the Removal of Methyl Violet and Fuchsin Basic Dyes from Aqueous Solution.

A novel adsorbent designated as terpolymer hydrogel (gellan gum-co-acrylamide-co-methacrylic acid) was prepared by free radical polymerization of gellan gum (GG), methacrylic acid (MAA), and acrylamide (AAm) using N,N-methylene bis-acrylamide (MBA) as cross-linker and ammonium per sulfate (APS) as the initiator of the reaction. The synthesized gel was characterized by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET), and thermogravimetric analysis (TGA) and was used for the adsorptive removal of methyl violet (MV) and Fuchsin Basic (FB) dyes from aqueous solution. The effect of temperature, contact time, pH, and concentration on them under the study adsorption process was evaluated. Freundlich isotherm and pseudo-second-order kinetic models were found to be best in fitting the isothermal and kinetics data. The water diffusion and % swelling of hydrogel were studied at various pH in distilled water and at neutral pH in tap water. The diffusion was found to be of Fickian type with a maximum swelling of 5132%. The maximum adsorption capacity was 233 mg/g against MV and 200 mg/g against FB dyes. The swelling and adsorption were pH dependent and increased with increase in pH. The enthalpy, Gibbs free energy, and entropy changes of adsorption for both the dyes indicated the adsorption process to be exothermic, feasible, and spontaneous. The hydrogel was successfully regenerated using acetone and distilled water for five cycles and still, its dye removal efficiency was 80% of its original value. The poly(GG-co-AAm-co-MAA) hydrogel successfully removed the selected dyes from water and could thus be used as an efficient alternative sorbent for cationic dye removal from aqueous solutions.

Isolation, crystal structure, DFT calculation and molecular docking of uncinatine-A isolated from Delphinium uncinatum.

The main objective of our present research work was to explore molecular insight for potentially active new acetylcholinesterase inhibitor from the aerial parts of Delphinium uncinatum. New norditerpenoid alkaloids, uncinatine-A, was isolated from the basic alkaloidal fraction of D. uncinatum, based on bioactivity guided isolation. The structure of uncinatine-A was determined through latest spectroscopic techniques including single X-Ray diffraction technique. The structural data and electronic properties of uncinatine-A was also calculated by Density Functional Theory (DFT) using B3LYP/6-31þ G (p) basis set. The isolated natural product was evaluated for their acetyl cholinesterase inhibitory potential in dose dependent protocol (62.5-1000 µg/mL), followed by molecular docking studies. Significant competitive type inhibition activity (IC50 = 207.73 ± 0.3) was shown by isolated natural norditerpenoid against cholinesterase targets in comparison with standard drugs available in the market such as galanthamine. The molecular docking results showed that isolated natural product was well accommodated by AChE in the active site with docking scores -11.0326. This is the first report indicating uncinatine-A as a potent acetylcholinesterase inhibitor and can be used as a target drug in cerebral dementia and Alzheimer diseases.

Prescription analysis and cost of antidepressant drugs in major depressive disorder outpatients at the tertiary care hospital of Pakistan: a prospective approach.

OBJECTIVES: To assess prescribing care indicators, utilization pattern, cost per prescription, cost ratios, and percent cost variation of antidepressants (ADs). METHOD: A prospective cross-sectional study was carried out at the tertiary care hospital of Peshawar, Pakistan among major depressive disorder (MDD) outpatients from July 2019 to February 2020. The ideal standards for World Health Organization (WHO) prescribing care indicators were used. The ePharma Guide was used to calculate the cost in Pakistani rupees (Rs) and United States dollar (USD) 2021 (exchange rate: 1 USD = 154.43 Rs). RESULTS: A total of 296 MDD patients received 846 drugs (average 2.86; range:1-8), of which 366 were ADs (average number ADs/prescription; 1.23). About 23% (n = 68) of patients received more than one AD. Only 21 (5.7%) generic ADs were prescribed, and 346 (94.5%) ADs were prescribed from the hospital formulary list. Selective serotonin reuptake inhibitors (SSRIs) were the most prescribed ADs (67.5%). The average cost of ADs per prescription per month was 700.95 Rs (4.54 USD). Escitalopram (5.69 Rs; 0.04 USD) showed highest cost ratio and maximum percentage cost variation (468.97%). CONCLUSION: This study observed low generic prescribing, a higher prescribing trend of SSRI, wide differences in cost ratio and percentage cost variation among ADs.