Vikram Narayanan Dhamu
Student
Vikram Narayanan Dhamu, M.S. in Bioengineering, (Doctoral Student-Environmental Biosensors)
ElectrochemSENSE: A platform towards field deployable direct on-produce glyphosate detection
Biosensors and Bioelectronics-Elsevier Publication
ElectrochemSENSE system developed in this work features a field-deployable sensing platform capable of direct produce run-off sampling to detect pesticides (organophosphate family) in fruits and vegetable samples. It is detailed within the journal publication the feasibility of the system to perform rapid measurement in under 5 min with low sample volume consumption (5 μL). In addition to sensor characteristics, field operating range metric and machine learning classifier integration for accurate prediction was depicted within this work.
Citation:
Dhamu, V. N.; Prasad, S. ElectrochemSENSE: A Platform towards Field Deployable Direct on-Produce Glyphosate Detection. Biosens. Bioelectron. 2020, 170, 112609.
DOI: https://doi.org/10.1016/j.bios.2020.112609
A Rapid Response Electrochemical Biosensor for Detecting Thc In Saliva
Scientific Reports-Nature Publication
This work is to do with the development and testing of a novel, flexible affinity-based biosensor to detect and quantify tetrahydrocannabinol (THC) in marijuana from human saliva as a potential roadside DUI testing approach. The work demonstrated: stable, dose dependent sensing in varying salivary pH matrices and to further ensure platform robustness-a binary classification system demonstrating a high general performance (AUC = 0.95) was employed to predict the presence of THC in human saliva.
Citation:
Stevenson, H., Bacon, A., Joseph, K.M. et al. A Rapid Response Electrochemical Biosensor for Detecting Thc In Saliva. Sci Rep 9, 12701 (2019). https://doi.org/10.1038/s41598-019-49185-y
DOI: https://doi.org/10.1038/s41598-019-49185-y
Ultrasensitive and Rapid-Response Sensor for the Electrochemical Detection of Antibiotic Residues within Meat Samples
ACS Omega-American Chemical Society Publication
A label-free detection method to quantify the presence of antibiotic residues in meat samples was presented in this work by means of employing an electrochemical sensor. The journal highlights a self-assembled immunoassay to target the ceftiofur biomarker to detect it within 15 min of introducing the sample at concentrations as low as 10 ng/mL in ground turkey samples.
Citation:
ACS Omega 2019, 4, 4, 6324–6330; Publication Date: April 4, 2019