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In this paper, we report on the fabrication and performance analysis of multiplexed carbon nanotube (CNT) network-based biosensors for detecting real-time deoxyribonucleic acid (DNA) hybridization. We have presented a tailor-made application of analytic hierarchy process (AHP) that matches the risk assessment of such CNT network biosensors. In this respect, we are introducing AHP in the biosensor area for the first time predicting at risk severity assessment for various analyte (DNA) concentrations. Most importantly, we are presenting AHP that allows for an analysis based on multi-factors (multi-criteria) which is augmented intuition along with real-time experimental data and expert proficiency.
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Mohan et al. (2018) studied this question.
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