2023
DOI: 10.3390/s23218784
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Advantages of Slow Sensing for Ambient Monitoring: A Practical Perspective

Juan Casanova-Chafer

Abstract: Air pollution is a ubiquitous threat, affecting 99% of the global populace and causing millions of premature deaths annually. Monitoring ambient air quality is essential, aiding policymakers and environmental agencies in timely interventions. This study delves into the advantages of slower gas sensors over their ultrafast counterparts, with a keen focus on their practicality in real-world scenarios. Slow sensors offer accurate time-averaged exposure assessments, harmonizing with established regulatory benchmar… Show more

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(2 citation statements)
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“…The fitting line can be expressed as Y = 0.01235X + 4.56854, where the fitting coefficient R 2 was 0.9951, indicating the high linearity. It was calculated that the LOD and LOQ of the HFIP-α-Fe 2 O 3 @MWCNT sensor are 63.92 ppb and 213.07 ppb, respectively [55].…”
Section: Gas Sensing Propertiesmentioning
confidence: 99%
See 1 more Smart Citation
“…The fitting line can be expressed as Y = 0.01235X + 4.56854, where the fitting coefficient R 2 was 0.9951, indicating the high linearity. It was calculated that the LOD and LOQ of the HFIP-α-Fe 2 O 3 @MWCNT sensor are 63.92 ppb and 213.07 ppb, respectively [55].…”
Section: Gas Sensing Propertiesmentioning
confidence: 99%
“…The fitting line can be expressed as Y = 0.01235X + 4.56854, where the fitting coefficient R 2 was 0.9951, indicating the high linearity. It was calculated that the LOD and LOQ of the HFIP-α-Fe2O3@MWCNT sensor are 63.92 ppb and 213.07 ppb, respectively [55]. Response time and recovery time reflect the speed of response and recovery of the gas sensor to the detected gas and are important factors in examining the performance of the sensor.…”
Section: Gas Sensing Propertiesmentioning
confidence: 99%