Research Article
Modeling and Finite Element Analysis Simulation of MEMS Based Acetone Vapor Sensor for Noninvasive Screening of Diabetes
Table 1
Sensors for acetone vapor detection.
| The sensor | Working principle | Detection limit (ppm) | Working temperature (°C) |
| Zinc oxide (ZnO) [41] | Resistance change | 1000 | 325 | Ferroelectric tungsten trioxide (-WO3) [9] | Resistance change | 0.20 | 500 | Si-doped epsilon-WO3 [42] | Resistance change | 0.02 | 350 | Indium nitride (InN) catalyzed with Pt [7] | Current change | 0.4 | 200 | Tin oxide (SnO2) nanotubes functionalized with Pt and Au [15] | Resistance change | 0.10 | 350 | Single-crystalline indium oxide (In2O3) nanowires [43] | Resistance change | 25 | 400 | Tin oxide (SnO2) fibers catalyzed with Pt [17] | Resistance change | 0.12 | 300 | Nanostructured anatase of titanium oxide (TiO2) [44] | Resistance change | 1 | 500 | Pt-functionalized tungsten oxide (WO3) [4] | Resistance change | 0.12 | 300 | Sr-doped lanthanum orthoferrite (LaFeO3) [16] | Resistance change | 500 | 275 | Tungsten trioxide (WO3) nanofibers functionalized by Rh2O3 nanoparticles [13] | Resistance change | 0.10 | 350 | Ferroelectric tungsten trioxide (ɛ-WO3) doped with Cr [12] | Resistance change | 0.20 | 400 | Ni-doped zinc oxide (ZnO) nanorods [14] | Resistance change | 100 | Room temperature | The proposed MEMS sensor | Frequency/amplitude change | 0.4 | Room temperature |
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