| Literature DB >> 29747467 |
Michael G Beeman1, Ugochukwu C Nze2, Himanshu J Sant3,4, Hammad Malik5, Swomitra Mohanty6,7, Bruce K Gale8,9, Krista Carlson10.
Abstract
The availability of clean drinking water is a significant problem worldwide. Many technologies exist for purifying drinking water, however, many of these methods require chemicals or use simple methods, such as boiling and filtering, which may or may not be effective in removing waterborne pathogens. Present methods for detecting pathogens in point-of-use (POU) sterilized water are typically time prohibitive or have limited ability differentiating between active and inactive cells. This work describes a rapid electrochemical sensor to differentially detect the presence of active Escherichia coli (E. coli) O157:H7 in samples that have been partially or completely sterilized using a new POU electrocatalytic water purification technology based on superradicals generated by defect laden titania (TiO₂) nanotubes. The sensor was also used to detect pathogens sterilized by UV-C radiation for a comparison of different modes of cell death. The sensor utilizes immunomagnetic bead separation to isolate active bacteria by forming a sandwich assay comprised of antibody functionalized secondary magnetic beads, E. coli O157:H7, and polyguanine (polyG) oligonucleotide functionalized secondary polystyrene beads as an electrochemical tag. The assay is formed by the attachment of antibodies to active receptors on the membrane of E. coli, allowing the sensor to differentially detect viable cells. Ultravioloet (UV)-C radiation and an electrocatalytic reactor (ER) with integrated defect-laden titania nanotubes were used to examine the sensors’ performance in detecting sterilized cells under different modes of cell death. Plate counts and flow cytometry were used to quantify disinfection efficacy and cell damage. It was found that the ER treatments shredded the bacteria into multiple fragments, while UV-C treatments inactivated the bacteria but left the cell membrane mostly intact.Entities:
Keywords: Escherichia coli O157:H7 detection; biosensors; defect laden titania (TiO2)-based reactor; electrochemical detection; immunomagnetic separation; pathogen detection; square wave voltammetry
Year: 2018 PMID: 29747467 PMCID: PMC5981196 DOI: 10.3390/s18051497
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Immunomagnetic separation flowchart detailing the capture of the magnetic bead/E. coli/polystyrene bead oligo sandwich assay for square wave voltammetry signal detection of E. coli.
Figure 2Experimental setup displaying the Faraday cage and custom electrochemical well plate reader.
TiO2-based electrocatalytic reactor-treated E. coli. O157:H7 electrochemical current density signal and plate counts.
| Sample | Averaged Peak Signal (µA) ( | Average Plate Counts (cfu/mL) ( |
|---|---|---|
| Original/No Treatment | 4.37 (±0.18) | 2.03 × 107 (±7.62 × 105) |
| 15 s | 3.86 (±0.07) | 0 |
| 5 min | 3.75 (±0.09) | 0 |
| 15 min | 3.78 (±0.16) | 0 |
| Blank Sample | 3.73 (±0.18) | 0 |
* n = sample size; SEM = standard error of the mean.
Ultraviolet-C (UV-C)-treated E. coli. O157:H7 electrochemical signal and plate counts.
| Sample | Averaged Peak Signal (µA) ( | Average Plate Counts (cfu/mL) ( |
|---|---|---|
| Original/No Treatment | 4.02 (±0.36) | 50 × 106 ** |
| 15 s | 3.32 (±0.11) | 22 (±7.36) |
| 5 min | 3.21 (±0.27) | 0 |
| 15 min | 3.18 (±0.08) | 0 |
| Blank Sample | 2.99 (±0.21) | 0 |
* n = sample size; SE = standard error of the mean; ** OD600 measurements were used to verify counts.
Figure 3An example of SEM images of E. coli cells (a) before and (b) after electrocatalytic reactor treatments.
Figure 4Population side scatter distribution for each sample tested. In each plot, the curve labeled “Whole E. coli” corresponds to the side scatter distribution of whole E. coli cells, while the curve labeled “Particulates” corresponds to debris and other particulates that are not whole E. coli cells. (a) Side scatter distribution for the original sample which did not undergo treatment with the ER; (b) Side scatter distribution for a sample which underwent 15 s treatment with the ER; (c) Side scatter distribution for a sample which underwent 5 min treatment with the ER; (d) Side scatter distribution for a sample which underwent a 15 min treatment with the ER.
Figure 5Population side scatter distribution for each sample tested. In each plot, the curve labeled “Whole E. coli” corresponds to the side scatter distribution of whole E. coli cells, while the curve labeled “Particulates” corresponds to debris and other particulates that are not whole E. coli cells. (a) Side scatter distribution for the original sample which did not undergo treatment with the UV-C lamp; (b) Side Scatter distribution for a sample which underwent 15 min treatment with the UV-C lamp; (c) Side scatter distribution for a sample which underwent 1 min treatment with the UV-C lamp; (d) Side scatter distribution for a sample which underwent 5 min treatment with the ER.
Figure 6ER-treated E. coli electrochemical SWV curves displaying the oxidation of polyG tag.
Figure 7UV-treated E. coli electrochemical SWV curves displaying the oxidation of polyG tag.