Quantitative Measures of Reliability and Sensitivity of Nanoparticle-Based Sensors in Detecting Volatile Organic Compounds

Abraham Sagiv, Elias Mansour, Raphael Semiat, Hossam Haick*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We herein provide quantitative measures of sensors' reliability and sensitivity as a function of the sensor's capacity (maximum detection signal or saturation state) in addition to other adsorption-desorption parameters that define the detection signals toward volatile organic compounds (VOCs). The measures we have developed show differentiation between irregular dispersed points of sensors with low and high capacities. We show that the sharpest capacity that separates between the two types of distribution points, viz the reliability limit (RL), is tightly linked with the desorption constant kd. Less sharp RLs give interpretations of other reliability indicators. RL also provides information about the reliability of detecting signals of VOCs for a given sensor and sensors for a particular VOC. We show that sensors with high capacities are more reliable and sensitive to detecting signals of VOCs than sensors with lower capacities.

Original languageEnglish
Pages (from-to)19983-19990
Number of pages8
JournalACS Omega
Volume4
Issue number22
DOIs
StatePublished - 26 Nov 2019

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