Objective: DPP-4 (Dipeptidyl peptidase-4) inhibitors are the oral antidiabetics that inhibits the enzyme DPP-4. The main aim of study was to formulate, statistically optimize and characterize the polymeric nanomicellar (PNM) formulation of DPP-4 inhibitor (sitagliptin) using natural polymer and a non-ionic surfactant. Method: Response surface methodology (RSM) an experimental design was applied for optimization of nanomicelles using full central composite design. Drug and polymer concentration are independent variables (each at two factor three level) whereas drug loading (% DL) (R1), entrapment efficiency (% EE) (R2) and % drug release (R3) were identified as dependent variables. The polymeric nanomicelles were prepared by direct dissolution method and characterized for surface morphology, particle size, polydispersity index, zeta potential, entrapment efficiency, drug loading and % drug release. Results: The optimized formulation of sitagliptin loaded polymeric nanomicelles (PNM 10) was found to be clear, homogenous nanomiceller solution with round spherical structures with a low poly dispersity index of 0.564. PNM 10 has particle size of 368.2 nm. PNM 10 showed drug loading of 38.67 ± 0.23%, entrapment efficiency of 79.67 ± 0.54% and % drug release (R3) of 82.34 ± 0.78%. Conclusion: Design- Expert (DOE) version 11.0.5.0 software (Stat-Ease Inc, USA) was used for statistically optimization of formulations. PNM 10 was considered best optimized formulation and highly stable for prolonged use and found to be safe for application. Thus this can be a futuristic approach for developing nanomicelles, which can minimize the possible side effects of drug.

In this article a medicinal oil (neem oil) is fractionated and compared with original oil. The fractions were separated at low temperature using chloroform and methanol. The uniphase mixture of solvents and neem oil at room temperature was transformed to a bi-phasic system at low temperature. The isolated fractions (NOC - isolated using chloroform; NOM - isolated using methanol) were characterized and differentiated by GC, FT-IR and Rheometer. GC and FTIR have well revealed the difference in composition of fatty acids in fractions - NOC; NOM and neem oil (NO). Rheologically all the oils are different in viscosity from parent oil. The NOM fraction of neem oil showed newtonian behavior while NOC shows a non-newtonian behavior. It can be concluded from data that fractions NOC, NOM can be used for targeting drugs using various formulation approaches.

The study protocol focuses on DBM, proposing a preventive strategy for mother-child pairs that would be accessible, affordable, sustainable, and human-centred. The aim is to guide the development of tools and technologies, passing through stages for gathering a process and presenting health data. The initial stage identifies the rules and models synthesising existing digital interventions combating forms of malnourishment, followed by designing and developing a Nutrition Informatics Intervention, i.e. NAIK. The last stage includes evaluation of the effectiveness and utility of NAIK. The system aims to address malnutrition by assessing different associated elements, with the participants. An SMS system will provide follow-up assistance. Overall, this study is an amalgamation of technology, data collection, personalised interventions, growth monitoring, and education to address malnutrition effectively by promoting positive health-behaviours within the community. So, a computerised health kiosk will help provide preventive strategies from the healthcare professional, especially in circumstances requiring immediate attention.