Polyaza functionalized graphene oxide nanomaterial based sensor for Escherichia coli detection in water matrices.
Lina RoseX Anitha MaryI JohnsonGanesh SrinivasanLakshmi PriyaJebasingh BhagavathsinghPublished in: Scientific reports (2021)
Water quality is widely discussed owing to its significance in public health due to the inability to access clean water. Waterborne diseases account for the presence of pathogens like Escherichia coli (E. coli) in drinking water in the environmental community. Owing to the rapid increase of such bacterial microorganisms, a cost-effective sensor setup has been developed. Herein, we demonstrate the amine-functionalized graphene oxide (fGO) based 2D nanomaterial used to graft E. coli on its surface. The comparative analysis of the deposition of nanosheets on the glass substrate and PDMS was executed. The impedance variations of GO-based nanosensor at various concentrations of E. coli were performed and their potential difference was recorded. It was observed that the impedance changes inversely with the bacterial concentrations and was fed to the Arduino microcontroller. The experimental setup was standardized for the range of 0.01 Hz to 100 kHz. The obtained analog data was programmed with a microcontroller and the bacterial concentration in colony-forming units was displayed. The real-time analysis showsthe low-level detection of E. coli in aquatic environments. Experiments were conducted using the developed nanosensor to test the efficiency in complex water matrices and whose behavior changes with various physical, chemical, and environmental factors.
Keyphrases
- escherichia coli
- drinking water
- loop mediated isothermal amplification
- public health
- water quality
- quantum dots
- mental health
- biofilm formation
- klebsiella pneumoniae
- human health
- physical activity
- healthcare
- health risk assessment
- real time pcr
- risk assessment
- label free
- health risk
- high frequency
- magnetic resonance imaging
- molecularly imprinted
- big data
- gram negative
- machine learning
- computed tomography
- climate change
- multidrug resistant
- staphylococcus aureus
- high resolution
- global health
- amino acid
- transition metal