E.P.A.S.S: Electroanalytical Pillbox Assessment Sensor System, A Case Study Using Metformin Hydrochloride.
Anirban PaulVikram Narayanan DhamuSriram MuthukumarShalini PrasadPublished in: Analytical chemistry (2022)
Adulteration of medications is an emerging and significant threat to human health and well-being, even though adulterants are still often not considered seriously in clinical or forensic toxicology. Screening of drug adulterations is a major challenge and concern for regulatory authorities worldwide. Metformin hydrochloride, an important drug to treat diabetes, is found to be adulterated worldwide and a major reason to worry about the health and safety procedure. We have demonstrated a first-of-a-kind electrochemical biomedical device utilizing exfoliated graphene oxide (GO)─Nafion-modified customized gold screen-printed electrodes (spiral electrochemical notification-coupled electrode, SENCE), driven by electrochemical adsorptive stripping voltammetry, to identify the trace level adulteration in metformin. The GO-Nafion-SPE interface has been characterized by powder X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, energy-dispersive X-ray analysis, and Fourier transform infrared. Custom-made screen-printed SENCEs have been functionalized with GO nanoparticles (transducer) to obtain a fingerprint signal response of metformin using differential pulse voltammetry. A linear calibrated dose response has been obtained with n = 3 repetitions with a low limit of detection of 10 ppm for metformin. We have used the sensing response as a function of adulteration, and it is extensively supported by rigorous statistical analysis along with the help of the machine learning tool. This is a first-of-its-kind IoT-enabled electrochemical sensor and analysis platform that can detect drug adulteration as a low, medium, and high output.
Keyphrases
- electron microscopy
- gold nanoparticles
- human health
- ionic liquid
- high resolution
- molecularly imprinted
- label free
- machine learning
- solid phase extraction
- risk assessment
- high throughput
- type diabetes
- dual energy
- ms ms
- healthcare
- cardiovascular disease
- computed tomography
- blood pressure
- drug induced
- solid state
- transcription factor
- climate change
- mental health
- quantum dots
- single molecule
- health information
- adverse drug
- carbon nanotubes
- metabolic syndrome
- mass spectrometry
- adipose tissue
- health promotion
- gas chromatography
- data analysis
- glycemic control
- tandem mass spectrometry
- liquid chromatography
- electron transfer