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  • 标题:Ternary Fingerprints with Reference Odor for Fluctuation-Enhanced Sensing
  • 本地全文:下载
  • 作者:Xiaoyu Yu ; Laszlo B. Kish ; Jean-Luc Seguin
  • 期刊名称:Biosensors
  • 电子版ISSN:2079-6374
  • 出版年度:2020
  • 卷号:10
  • 期号:8
  • 页码:93-101
  • DOI:10.3390/bios10080093
  • 出版社:MDPI Publishing
  • 摘要:An improved method for fluctuation-enhanced sensing (FES) is introduced. We enhanced the old binary fingerprinting method, where the fingerprint bit values were ±1, by introducing ternary fingerprint bits utilizing a reference odor. In the ternary method, the fingerprint bit values are −1, 0, and 1, where the 0 value stands for the situation where the slope of the spectrum is identical to that of the reference odor. The application of the reference odor spectrum makes the fingerprint relative to the reference. The ternary nature and the reference feature increase the information entropy of the fingerprints. The method is briefly illustrated by sensing bacterial odor in cow manure isolates.
  • 关键词:fluctuation enhanced sensing; cow manure bacteria; odor sensing; trinary fingerprints fluctuation enhanced sensing ; cow manure bacteria ; odor sensing; trinary fingerprints
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