Abstract

Escherichia coli has been known to cause a variety of infectious diseases. The conventional enzyme-linked immunosorbent assay (ELISA) is a well-known method widely used to diagnose a variety of infectious diseases. This method is expensive and requires considerable time and effort to conduct and complete multiple integral steps. We previously proposed the use of paper-based ELISA to rapidly detect the presence of E. coli. This approach has demonstrated utility for point-of-care (POC) urinary tract infection diagnoses. Paper-based ELISA, while advantageous, still requires the execution of several procedural steps. Here, we discuss the design and experimental implementation of a turntable paper-based device to simplify the paper-based ELISA protocols for the detection of E. coli. In this process, antibodies or reagents are preloaded onto zones of a paper-based device and allowed to dry before use. We successfully used this device to detect E. coli with a detection limit of 105 colony-forming units (colony-forming unit [CFU])/mL.

Highlights

  • Nam-Trung NguyenEscherichia coli, a Gram-negative bacterium commonly found in the intestinal flora of humans and animals, is the etiological agent responsible for a variety of common infectious diseases, including urinary tract infections [1] and gastroenteritis [2]

  • The results of our paper-based enzyme-linked immunosorbent assay (ELISA) tests indicated that color intensity was linearly correlated with the logarithm of E. coli concentration, with R2 = 0.967 (Figure 3)

  • The color intensity results for the E. coli samples with concentrations of 0 and 103 CFU/mL

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Summary

Introduction

Nam-Trung NguyenEscherichia coli, a Gram-negative bacterium commonly found in the intestinal flora of humans and animals, is the etiological agent responsible for a variety of common infectious diseases, including urinary tract infections [1] and gastroenteritis [2]. There is a need for rapid, timely, and specific diagnostic procedures to detect E. coli infection. This is especially true considering emerging drug resistance issues plaguing healthcare systems worldwide [3,4]. It takes a long time to identify the pathogen that causes infectious diseases using traditional methods [6]. Several rapid molecularbased methods for pathogen identification have been developed and are currently in broad clinical use [7,8,9]. Their high cost and instrument dependency restricts their use in resource-limited areas [7]

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