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Engineered Nucleotide Chemicapacitive Microsensor Array Augmented with Physics-Guided Machine Learning for
Stephanie Hui Kit Yap1, Jieming Pan1, Dao Viet Linh2,3
1Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Small (Weinheim an Der Bergstrasse, Germany)
|May 6, 2022
Summary
A new Aptamer-based BioSenSing System (ABS3) offers a rapid, automated, and cost-effective method for classifying cannabidiol (CBD) concentrations. This high-throughput platform significantly improves upon traditional screening for pharmaceutical development.
Area of Science:
- Biotechnology and Bioengineering
- Chemical and Bioanalytical Sciences
- Pharmaceutical Development
Background:
- Growing interest in microbial production of medicinal cannabidiol (CBD) for neurological conditions like epilepsy.
- Conventional screening methods for CBD are time-consuming, labor-intensive, and costly, hindering efficient drug development.
Purpose of the Study:
- To introduce a portable, high-throughput Aptamer-based BioSenSing System (ABS3) for label-free, automated CBD classification.
- To address the limitations of conventional screening platforms in terms of speed, cost, and labor.
Main Methods:
- Development of the ABS3 system featuring an array of interdigitated microelectrode sensors functionalized with engineered aptamers.
- Utilizing unique electrochemical features from each sensor, synergized via physics-guided multidimensional analysis.
- Employing an optimized random forest (RF) model for data analysis and classification.
Main Results:
- Achieved highly accurate CBD concentration classification with a prediction accuracy of 99.98%.
- Demonstrated a remarkably fast testing time of 22 µs per sample.
- Successfully classified CBD concentrations in complex biological environments.
Conclusions:
- The ABS3 system provides a low-cost, fully automated, and highly accurate solution for CBD classification.
- This technology has the potential to accelerate the transformation of fundamental research into miniaturized diagnostic systems.
- Envisioned applications include disease biomarker diagnostics and drug development in chemical and bioanalytics.
