| Literature DB >> 35351510 |
Chitvan Pandit1, Hema Kumari Alajangi2, Joga Singh1, Akhil Khajuria1, Akanksha Sharma2, Md Samim Hassan3, Manmohan Parida4, Anil Dutt Semwal4, Natarajan Gopalan5, Rakesh Kumar Sharma6, Ashish Suttee7, Udit Soni8, Bhupinder Singh1, Sameer Sapra3, Ravi Pratap Barnwal9, Gurpal Singh10, Indu Pal Kaur11.
Abstract
The contamination of food and potable water with microorganisms may cause food-borne and water-borne diseases. The common contaminants include Escherichia coli (E. coli), Salmonella sp. etc. The conventional methods for monitoring the water quality for the presence of bacterial contaminants are time-consuming, expensive, and not suitable for rapid on-spot detection in field conditions. In the current study, super paramagnetic iron oxide nanoparticles (SPIONs) were synthesized and conjugated with E. coli specific Aptamer I to detect E. coli cells qualitatively as well as quantitatively. The sludge consisting of E. coli- SPION complex was separated via magnetic separation. The presence of E. coli cells was confirmed with the help of standard techniques and confocal laser scanning microscopy (CLSM) employing Aptamer II conjugated CdTe-MPA quantum dots (QDs). Finally, an ATmega 328P prototype biosensor based on Aptamer II conjugated CdTe MPA QDs exhibited quantitative and qualitative abilities to detect E.coli. This prototype biosensor can even detect low bacterial counts (up to 1 × 102 cfu) with the help of a photodiode and plano-convex lens. Further, the prototype biosensor made up of ultraviolet light-emitting diode (UV LED), liquid crystal display (LCD) and ATmega328Pmicrocontroller offers on-spot detection of E.coli in water samples with high resolution and sensitivity. Similarly, this in-house developed prototype biosensor can also be utilized to detect bacterial contamination in food samples.Entities:
Keywords: Aptamer; CdTe MPA QDs; E. coli; Portable biosensor; SPIONs
Year: 2022 PMID: 35351510 DOI: 10.1016/j.scitotenv.2022.154857
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963