SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF AMIKACIN IN PURE AND PHARMACEUTICAL DOSAGE FORM

Objective: The aim of the study was to develop an easy, sensible and rapid method for the estimation of amikacin in both pure and marketed formulation using the spectrophotometric method.Methods: Due to lack of chromophoric group in the amikacin, it was derivatized with 0.1 mmol chloranillic acid reagent. For the estimation of amikacin, Shimadzu UV-1700 model spectrophotometer with UV probe software was used. The method was based on simple charge transfer complexation of the drug with a p-chloranillic acid reagent to give a purple coloured product which was measured at 524nm against blank solution.Results: The derivatised product of amikacin was detected at a wavelength of 524 nm. Linearity was observed with the concentration range of 20-100 µg/ml with a regression coefficient of 0.9803. Results of all the parameters were within the acceptance criteria with % RSD less than 2.Conclusion: The spectroscopic method was validated as per ICH guidelines and was found to be applicable for routine quantitative analysis of amikacin in marketed formulations also. The results of linearity, precision, accuracy LOD and LOQ were within the specified limits. The method is highly sensitive, robust, reproducible and specific.Â

A multi-dimensional study to estimate the behaviour of the general public during COVID-19 pandemic

Background: The COVID-19 pandemic has had a significant impact on societies all over the world, leading to significant shifts in individual behavior as well as societal norms. The goal of this study was to provide an in-depth look at the many different aspects of public behavior during the COVID-19 pandemic. Methods: Demographic information, COVID-19 knowledge and awareness, prevention adherence, vaccination attitudes, and psychological well-being as a whole were all be gathered through the quantitative survey. The subjective meetings will give further bits of knowledge into the hidden inspirations, discernments, and difficulties faced by people in following general wellbeing rules. Results: To find patterns and correlations among the various variables, statistical methods like regression analysis, factor analysis, and clustering algorithms were used in the data analysis. The subjective information was investigated specifically, separating key topics and accounts that shed light on the subtleties of the public’s way of behaving during the pandemic. Conclusions: In the end, the goal of this multidimensional study was to help make decisions based on evidence and come up with plans to improve public health and lessen the impact of infectious disease outbreaks like COVID-19

Towards farm-level health management of offshore wind farms for maintenance improvements

This paper studies a conceptual architecture for health management of offshore wind farms. To this aim, various necessary enablers of a health management system are presented to improve reliability and availability while optimizing maintenance costs. The main focus lies on improving existing condition monitoring systems based on concepts of condition-based maintenance and reliability centered maintenance. A brief review of the relevant state-of-the-art is presented and gaps to be filled towards realization of such health management system are discussed

Current signature based fault diagnosis of field-oriented and direct torque-controlled induction motor drives

In this article, the operation of three-phase squirrel-cage induction motors is analysed under faulty conditions in closed loop with state-of-the-art controllers, namely, the field-oriented control and the direct torque control. The motivation behind this study is to examine the effectiveness of current signature-based fault detection schemes under closed-loop operation, in the presence of inverter harmonics. Various commonly occurring induction motor fault conditions are modelled based on the modified winding function theory, and each fault case is further simulated in a closed-loop framework to verify the fault detectability. The effectiveness of current signature-based diagnostics in varying fault severity, loads and speeds is studied. Furthermore, the faults are artificially seeded in a laboratory test set-up of an induction motor, and the effectiveness of current signature analysis is verified with commercially available field-oriented and direct torque control drives in the closed-loop framework

Metal-Organic Frameworks Meet Molecularly Imprinted Polymers: Insights and Prospects for Sensor Applications

The use of porous materials as the core for synthesizing molecularly imprinted polymers (MIPs) adds significant value to the resulting sensing system. This review covers in detail the current progress and achievements regarding the synergistic combination of MIPs and porous materials, namely metal/covalent-organic frameworks (MOFs/COFs), including the application of such frameworks in the development of upgraded sensor platforms. The different processes involved in the synthesis of MOF/COF-MIPs are outlined, along with their intrinsic properties. Special attention is paid to debriefing the impact of the morphological changes that occur through the synergistic combination compared to those that occur due to the individual entities. Thereafter, the strategies used for building the sensors, as well as the transduction modes, are overviewed and discussed. This is followed by a full description of research advances for various types of MOF/COF-MIP-based (bio)sensors and their applications in the fields of environmental monitoring, food safety, and pharmaceutical analysis. Finally, the challenges/drawbacks, as well as the prospects of this research field, are discussed in detail.King Abdullah University of Science and Technology (KAUST), Saudi Arabia; KAUST Sensor Initiative; KAUST visiting student programThe authors would like to acknowledge the financial support in the form of funding from King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Furthermore, we thank the KAUST Sensor Initiative and KAUST visiting student program for supporting this work

Methanol and humidity capacitive sensors based on thin films of MOF nanoparticles

The successful development of modern gas sensing technologies requires high sensitivity and selectivity coupled to cost effectiveness, which implies the necessity to miniaturize devices while reducing the amount of sensing material. The appealing alternative of integrating nanoparticles of a porous metal–organic framework (MOF) onto capacitive sensors based on interdigitated electrode (IDE) chips is presented. We report the deposition of MIL-96(Al) MOF thin films via the Langmuir–Blodgett (LB) method on the IDE chips, which allowed the study of their gas/vapor sensing properties. First, sorption studies of several organic vapors like methanol, toluene, chloroform, etc. were conducted on bulk MOF. The sorption data revealed that MIL-96(Al) presents high affinity toward water and methanol. Later on, ordered LB monolayer films of MIL-96(Al) particles of ∼200 nm were successfully deposited onto IDE chips with homogeneous coverage of the surface in comparison to conventional thin film fabrication techniques such as drop-casting. The sensing tests showed that MOF LB films were selective for water and methanol, and short response/recovery times were achieved. Finally, chemical vapor deposition (CVD) of a porous thin film of Parylene C (thickness ∼250–300 nm) was performed on top of the MOF LB films to fabricate a thin selective layer. The sensing results showed an increase in the water selectivity and sensitivity, while those of methanol showed a huge decrease. These results prove the feasibility of the LB technique for the fabrication of ordered MOF thin films onto IDE chips using very small MOF quantities.The research leading to these results has received funding from Spanish MINECO and FEDER (projects MAT2016-78257-R and MAT2017-86826-R), the Aragon Government (DGA) and FEDER (research group E31_17R). M.A.A. acknowledges the support of Ministerio de Educación from the Spanish Government under an FPU grant (Formación de Profesorado Universitario, FPU14/05367), a short-term mobility FPU grant (EST18/00291), and of the King Abdullah University of Science and Technology and Advanced Membranes and Porous Materials Center under the Visiting Student Program.Peer reviewe