Answers are grounded in this paper and cite their sources.
We present an experimental system designed to explore vapor propagation and detection limits with temporally correlated chemical plumes. By introducing a non-random temporal structure into a chemical source, we can apply correlated detection to statistically identify unique concentration-modulated patterns over meter-scale distances, at frequencies up to 100 Hz, and at concentrations at least two orders of magnitude below the nominal limit of detection of a given sensor. As an illustration of these concepts, we detect 1 ppb modulated isopropanol vapor in a >1 ppm ambient volatile organic compound background, using non-selective photoionization detectors having a nominal sensitivity of approximately 100 ppb. We aim to extend these concepts more broadly to improve the sensitivity and reliability of low-cost chemical sensor networks.
No takes yet. Share an insight, caveat, or question.
Shakya et al. (2018) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: