Thermal characterization and analysis of microliter liquid volumes using the three-omega method.
Thermal phenomena in many biological systems offer an alternative detection opportunity for quantifying relevant sample properties. While there is substantial prior work on thermal characterization methods for fluids, the push in the biology and biomedical research communities towards analysis of reduced sample volumes drives a need to extend and scale these techniques to these volumes of interest, which can be below 100 pl. This work applies the 3ω technique to measure the temperature-dependent thermal conductivity and heat capacity of de-ionized water, silicone oil, and salt buffer solution droplets from 24 to 80 °C. Heater geometries range in length from 200 to 700 μm and in width from 2 to 5 μm to accommodate the size restrictions imposed by small volume droplets. We use these devices to measure droplet volumes of 2 μl and demonstrate the potential to extend this technique down to pl droplet volumes based on an analysis of the thermally probed volume. Sensitivity and uncertainty analyses provide guidance for relevant design variables for characterizing properties of interest by investigating the tradeoffs between measurement frequency regime, device geometry, and substrate material. Experimental results show that we can extract thermal conductivity and heat capacity with these sample volumes to within less than 1% of thermal properties reported in the literature.
Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA.
Shilpi
S
Roy-Panzer
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.
Takashi
T
Kodama
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.
Srilakshmi
S
Lingamneni
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.
Matthew A
MA
Panzer
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.
Mehdi
M
Asheghi
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.
Kenneth E
KE
Goodson
D000465:Algorithms; D005240:Feasibility Studies; D055616:Microtechnology / Q000379:methods*; D012822:Silicon Dioxide; D013696:Temperature; D035501:Uncertainty
D012822:Silicon Dioxide