Capacitive MEMS Microphone Optimized for PAS Applications

Abstract

To derive an optimum design of a MEMS microphone in any application (i.e. photoacoustic instrumentation), it is important to understand the underlying physics that govern the behavior of the device. In addition, one must have a good understanding of the specific requirements imposed on the device in the intended application. In the particular case of photoacoustic detection, signal-to-noise ratio is the overwhelmingly important parameter. Other parameters such as size and required operating voltage may be compromised to achieve the best possible signal-to-noise ratio. An important property, to be shown below, is the low sensitivity to vibration in MEMS microphones due to a much smaller mass of inertia of the sensing diaphragm, when compared to state-of-the-art conventional microphones. In photoacoustic detection, a microphone is used to detect the minute thermal expansion/pressure wave generated in a gas due to molecular absorption, and subsequent release, of energy generated from a light source 1,6. This method is very well suited for molecular fingerprinting, since the absorption versus applied light energy/wavelength is uniquely dependent on the exact molecular structure. The measurement, in which light of various wavelengths is applied, to map the molecular absorption, is referred to as photoacoustic spectroscopy (PAS). Current PAS instrumentation utilizes state-of-the-art conventional microphone technology in combination with high powered light sources to maximize the sensitivity of the system. It is well known from literature (such as 2), that electrostatic, or capacitive, microphones have the highest sensitivity and the lowest self-noise of the known detection principles. while conventional capacitive microphones provide excellent signal-to- noise ratio, there is a significant problem with vibration-borne artifacts.

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Document Details

Document Type
Technical Report
Publication Date
Apr 18, 2005
Accession Number
ADA433491

Entities

People

  • John F. Mcclelland
  • Michael B Pedersen

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Acoustics
  • Air Gaps
  • Bandwidth
  • Biological Detection
  • Capacitance
  • Circuits
  • Frequency
  • Human Factors Engineering
  • Instrumentation
  • Lasers
  • Measurement
  • Microelectromechanical Systems
  • Microphones
  • Self Noise
  • Sound Pressure
  • Spectroscopy
  • Transducers

Readers

  • Acoustical Oceanography.
  • Integrated Circuit Design and Technology.
  • Optical Physics and Photonics.