Bibliometric analysis on nanoparticle modified screen-printed carbon electrode for E.coli detection using scopus database

Abstract

Foodborne and waterborne infections are major causes of worry around the world. Escherichia coli (E. coli) pathogenic strains like O157:H7 are a leading cause of food and water-borne illness epidemics all over the world. E. coli is a pathogen present in the lower intestinal of warm-blooded species, it is used to detect fecal contaminants in specimens collected. Human infections can be caused by even low levels of E. coli O157:H7 (10–100 viable organisms). The standard techniques for food assessment are mainly conducted in centralized laboratories and involve long analysis times and complex instrumentation. Sensors based on screen-printed electrodes (SPEs) had grown in popularity in this context due to their favorable properties, such as ease of use and portability, which allow for quick analysis in point-of-need circumstances. The application of SPE-based sensors in the management of food contamination as beneficial analytical techniques to traditional techniques offers for quick inspection at any step in the food manufacturing process, reducing food waste and preventing foodborne infections. However, a screen-printed electrode (SPE) may not be as durable as a traditional electrode, such as a glassy carbon or gold disc, and the surface of its working electrode is not as perfect as that of a mirror-like polished solid electrode, the advantages of SPEs in terms of cost and size have led to an increase in their use as (bio) sensing transducers in recent years. The field of research for detection of E.coli using sensors is very extensive and actively studied by researchers in this area of interest. Here, publication for E.coli and nanoparticle sensor growth research were analyzed from Scopus databases. The keywords were biosensor, E.coli, screen printed electrode and nanoparticle reported from 2012 to 2021. This bibliometric analysis concluded that E.coli biosensors development involved multidisciplinary collaborations of biology, analytical chemistry, optoelectronics, material science, engineering and data science and each subject area plays an important role in establishing biosensors for E. coli detection.