2015
DOI: 10.1016/j.snb.2014.12.021
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Monitoring acidic and basic volatile concentration using a pH-electrode based wireless passive sensor

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Cited by 37 publications
(9 citation statements)
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“…Depending on the transduction principle, the capacitance, inductance or resistance of the LC sensing circuit is affected by the measurand, allowing both physical and chemical sensors. Therefore, various kinds of passive wireless LC sensors have been developed to measure parameters inside sealed or harsh environments [2]- [6], e.g., pressure inside the human body [7]- [9], electrocardiogram [8], high temperatures in internal combustion engines [10], quality of packaged food [11] [12], water content in building materials [13], pH control [14], temperature [6], [15], [16], and relative humidity [17]- [21], among others.…”
Section: Introductionmentioning
confidence: 99%
“…Depending on the transduction principle, the capacitance, inductance or resistance of the LC sensing circuit is affected by the measurand, allowing both physical and chemical sensors. Therefore, various kinds of passive wireless LC sensors have been developed to measure parameters inside sealed or harsh environments [2]- [6], e.g., pressure inside the human body [7]- [9], electrocardiogram [8], high temperatures in internal combustion engines [10], quality of packaged food [11] [12], water content in building materials [13], pH control [14], temperature [6], [15], [16], and relative humidity [17]- [21], among others.…”
Section: Introductionmentioning
confidence: 99%
“…On one hand, some authors have associated the tag’s analog response (read range, resonance frequency, backscattered power, etc.) with a variation in the monitored magnitude [ 4 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. However, although quite valuable results have been achieved, several factors could interfere in link performance, making it difficult to distinguish whether the change in the tag’s analog response is in fact due to a variation in magnitude or to some other interference.…”
Section: Introductionmentioning
confidence: 99%
“…Rapidly increasing numbers of wireless sensor nodes and their networks (WSNs), ranging in applications of structural health (e.g., cracks in buildings), industrial environments (e.g., machining processes), household/weather conditions (e.g., temperature and humidity) and even human health and well-being monitoring have kept energy harvesting as a target of researchers for many years [ 8 , 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%