title: Viscosity-density sensor with resonant torsional paddle for direct detection in liquid.
abstract: A novel micro-machined biosensor based on the resonant torsional paddle with electromagnetic excitation which can work in liquid directly is presented. The sensor designed consists of two paddles with resonant torsional mode, in which the energy loss of the resonator during the vibration is so lower that it can be suitable for detection in liquid. Finite element method analysis was carried out to guarantee the sensitivity of the sensor. Micro electro-mechanical system (MEMS) bulk silicon processes were adopted to accomplish the fabrication. A positive-feedback circuit with energy compensation is designed to improve the characteristics of the sensor in liquid. Experiments show that the resonant torsional paddle can work directly in liquid and the Q-factor of the sensor in liquid can be improved from 2.65 to 40 with energy compensation. Viscosity tests and density tests for the sensor show that the decrease in frequency and the decrease in Q-factor are related to density and viscosity of the solutions, respectively.
authors.affiliation: State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, People's Republic of China.
authors.forename: H
authors.initials: H
authors.lastname: Li
authors.forename: J
authors.initials: J
authors.lastname: Wang
authors.forename: X
authors.initials: X
authors.lastname: Li
authors.forename: D
authors.initials: D
authors.lastname: Chen
mesh_terms: D000438:Alcohols / Q000737:chemistry; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods; D003198:Computer Simulation; D004867:Equipment Design; D020342:Finite Element Analysis; D005990:Glycerol / Q000737:chemistry; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D055616:Microtechnology; D008962:Models, Theoretical; D012825:Silicon; D013053:Spectrophotometry; D014783:Viscosity
chemical_list: D000438:Alcohols; D005990:Glycerol; D012825:Silicon