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Antimicrobial resistance is a grave threat to human life. Currently used time-consuming antibiotic susceptibility test (AST) methods limit physicians in selecting proper antibiotics. Hence, we developed a rapid AST using electroanalysis with a 15 min assay time, called EAST, which is live-monitored by time-lapse microscopy video. The present work reports systematical electrochemical analysis and standardization of protocol for EAST measurement. The proposed EAST is successfully applied for Gram-positive Bacillus subtilis and Gram-negative Escherichia coli as model organisms to monitor bacterial concentration, decay kinetics in the presence of various antibiotics (ciprofloxacin, cefixime, and amoxycillin), drug efficacy, and IC50. Bacterial decay kinetics in the presence of antibiotics were validated by the colony counting method, field emission scanning electron microscopy, and atomic force microscopy image analysis. The EAST predicts the antibiotic susceptibility of bacteria within 15 min, which is a significant advantage over existing techniques that consume hours to days. The EAST was explored further by using bacteria-friendly l-lysine-functionalized cerium oxide nanoparticle coated indium tin oxide as a working electrode to observe the enhanced electron-transfer rate in the EAST. The results are very significant for future miniaturization and automation. The proposed EAST has huge potential in the development of a rapid AST device for applications in the clinical and pharmaceutical industries.

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PurposeThis paper is an attempt to understand the pattern of credit among agricultural households in Eastern India and to identify the correlates of their access to institutional credit for policy imperatives.Design/methodology/approachThe study uses unit-level data from the All-India Debt and Investment Survey of the 59th and 70th rounds of the National Sample Survey Office for the years 2002–2003 and 2012–2013. Cragg's double-hurdle model and the Heckman selection model are used to estimate the determinants of access to and the amount of institutional loans taken by households. These models also account for potential selection bias in the findings.FindingsThe study reveals that access to credit is strongly associated with the socioeconomic and demographic characteristics of agricultural households. However, about half of the farmers in the eastern states of India lack access to institutional credit despite the government's attempts to include them in the ambit of formal financial services. Thus, strategies for developing agriculture in Eastern India must include efforts to bring small and marginal farmers under the coverage of institutional credit.Research limitations/implicationsThese data are based on the responses given by the sample households and not the experimental data. The data pertain to the year 2013.Originality/valueThe findings emphasize that strategies for developing agriculture in Eastern India must give special push to enhance small and marginal farmers' access to institutional credit.