2019
DOI: 10.3390/s19214652
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Dark Field Microscopy-Based Biosensors for the Detection of E. coli in Environmental Water Samples

Abstract: Development of sensitive methods for the determination of E. coli bacteria contamination in water distribution systems is of paramount importance to ensure the microbial safety of drinking water. This work presents a new sensing platform enabling the fast detection of bacteria in field samples by using specific antibodies as the biorecognition element and dark field microscopy as the detection technique. The development of the sensing platform was performed using non-pathogenic bacteria, with the E. coli DH5α … Show more

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Cited by 8 publications
(10 citation statements)
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“…An automatic counting algorithm was also developed for the fast and robust imaging analysis of bacteria . By using size parameters and object circularity, Colpo et al sensitively detected E. coli in environmental water samples in a similar fashion …”
Section: Accurate Analysis Applicationmentioning
confidence: 99%
See 1 more Smart Citation
“…An automatic counting algorithm was also developed for the fast and robust imaging analysis of bacteria . By using size parameters and object circularity, Colpo et al sensitively detected E. coli in environmental water samples in a similar fashion …”
Section: Accurate Analysis Applicationmentioning
confidence: 99%
“…26 By using size parameters and object circularity, Colpo et al sensitively detected E. coli in environmental water samples in a similar fashion. 27 Aggregation. Sensing based on aggregation of probes is also simple and sensitive.…”
mentioning
confidence: 99%
“…Another dark-field microscopic-based biosensor for detecting E. coli was developed using E. coli antibodies as a biorecognition platform in which the proposed pathogenic sensor exhibited excellent specificity toward the detection of E. coli in contaminated water samples. [127]…”
Section: Microscopymentioning
confidence: 99%
“…Compared with the labeling methods, which generally require a long incubation time, label-free approaches are much simpler, faster, and cost-effective, making them good candidates for rapid bacterial detection in clinical application. Efforts have been made in this direction, among which the optical methods, such as Raman spectroscopy and single-particle imaging approaches, are the most promising approaches due to their high sensitivity, simplicity, and low-cost for label-free detection of bacteria [ 40 , 41 , 42 ]. In this review, we describe the advantages and disadvantages of optical methods such as Raman spectroscopy, SPR, and dark-field microscopy for label-free detection of bacteria and their applications in clinical detection and drug resistance evaluation.…”
Section: Introductionmentioning
confidence: 99%