Development and validation of various spectrophotometric methods for naproxen as anti arthritis

The present research work discusses the development of UV-spectrophotometric method for estimation of Naproxen. Simple, specific, accurate and cost effective spectrophotometric method has been developed for estimation of naproxen sodium in bulk as well as formulation. The optimum conditions for the analysis of the drug were established. The maximum wavelength (λmax) was found to be 331 nm. The validation was performed as per ICH guidelines for linearity, accuracy, precision, LOD and LOQ. The linearity was found in the concentration range of 3-24 µg / ml for Zero, first and second order derivative spectroscopy. The correlation coefficients were found to be 0.9997, 0.9999 and 0.9998, respectively. The obtained (r2) values show that the selected concentration range gives good linearity. All calibration curves show a linear relationship between the absorbance and concentration with coefficient of correlation 0.999. The regression of curve was Y = 0.0372 x - 0.0038. The precision of method was found to be good. The results were within the range of 99.15 ± 0.14 – 101.38 ± 0.17 and were found to be highly accurate. The proposed method will be suitable for analysis of naproxen in bulk as well as pharmaceutical formulations in quality control purpose. It is thus concluded that the proposed method is new, simple, cost-effective, safe, accurate, precise and environmental friendly Keywords: Naproxen, Spectrophotometry, Naproxen, Linearity, Validation, LO

Neuroprotective effects of combined trimetazidine and progesterone on cerebral reperfusion injury

Cerebral ischemia-reperfusion injury induces multi-dimensional damage to neuronal cells through exacerbation of critical protective mechanisms.Targeting more than one mechanism simultaneously namely, inflammatory responses and metabolic energy homeostasis could provide additional benefits to restrict or manage cerebral injury. Being proven neuroprotective agents both, progesterone (PG) and trimetazidine (TMZ) has the potential to add on the individual therapeutic outcomes.We hypothesized the simultaneous administration of PG and TMZ could complement each other to synergize, or at least enhance neuroprotection in reperfusion injury. We investigated the combination of PG and TMZ on middle cerebral artery occlusion (MCAO) induced cerebral reperfusion injury in rats. Molecular docking on targets of energy homeostasis and apoptosis assessed the initial viability of PG and TMZ for neuroprotection. Animal experimentation with MCA induced ischemia-reperfusion (I/R) injury in rats was performed on five randomized groups.Sham operated control group received vehicle (saline) while the other four I-R groups were pre-treated with vehicle (saline), PG (8 ​mg/kg), TMZ treated (25 ​mg/kg), and PG ​+ ​TMZ (8 and 25 ​mg/kg) for 7 days by intraperitoneal route. Neurological deficit, infarct volume, and oxidative stress were evaluated to assess the extent of injury in rats. Inflammatory reactivity and apoptotic activity were determined with alterations in myeloperoxidase (MPO) activity, blood-brain barrier (BBB) permeability, and DNA fragments. Reperfusion injury inflicted cerebral infarct, neurological deficit, and shattered BBB integrity.The combination treatment of PG and TMZ restricted cellular damage indicated by significant (p ​< ​0.05) decrease in infarct volume and improvement in free radical scavenging ability (SOD activity and GSH level). MPO activity and LPO decreased which contributed in improved BBB integrity in treated rats. We speculate that inhibition of inflammatory and optimum energy utilization would critically contribute to observed neuroprotection with combined PG and TMZ treatment. Further exploration of this neuroprotective approach for post-recovery cognitive improvement is worth investigating

Screening Chickpea Genotypes against Fusarium Wilt Disease under Controlled Conditions

Fusarium wilt caused by Fusarium oxysporum f. sp. Ciceris is one of the economical important vascular root diseases affecting chickpea which can cause up to 90% yield loss during crop growth stages. In the present investigation, 71 chickpea genotypes including two controls viz., JG315 (highly resistant) and JG 62 (highly susceptible) were screened by artificial inoculation of pathogen causing Fusarium wilt under controlled conditions in poly house using Completely Randomized Design with two replications during Rabi 2022 with intention to identify potentially wilt resistant genotype (s). Disease incidence was evaluated across distinct developmental phases, specifically the seedling and reproductive stages, employing the metric of percent disease incidence. At the seedling stage, out of the 71 entries, 24 genotypes displayed resistance to the disease, 38 genotypes exhibited moderate resistance, five genotypes found to be moderately susceptible, three susceptible, and only one genotype showed high susceptibility. Upon reaching the reproductive stage, the disease reactions changed drastically as only one genotype was found resistant, 14 genotypes moderate resistance, 17 moderately susceptible, 25 susceptible and 14 highly susceptible

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-