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Terahertz Spectroscopic Molecular Sensor for Rapid and Highly Specific Quantitative Analytical Gas Sensing.
Tyree, Daniel J; Huntington, Parker; Holt, Jennifer; Ross, Ajani L; Schueler, Robert; Petkie, Douglas T; Kim, Steve S; Grigsby, Claude C; Neese, Christopher; Medvedev, Ivan R.
Affiliation
  • Tyree DJ; Wright State University, Dayton, Ohio 45419, United States.
  • Huntington P; Wright State University, Dayton, Ohio 45419, United States.
  • Holt J; The Ohio State University, Columbus, Ohio 43210, United States.
  • Ross AL; Wright State University, Dayton, Ohio 45419, United States.
  • Schueler R; Wright State University, Dayton, Ohio 45419, United States.
  • Petkie DT; Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
  • Kim SS; Air Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, Ohio 45433, United States.
  • Grigsby CC; Air Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, Ohio 45433, United States.
  • Neese C; The Ohio State University, Columbus, Ohio 43210, United States.
  • Medvedev IR; Wright State University, Dayton, Ohio 45419, United States.
ACS Sens ; 7(12): 3730-3740, 2022 12 23.
Article in En | MEDLINE | ID: mdl-36512716
ABSTRACT
Quantitative analytical gas sampling is of great importance in a range of environmental, safety, and scientific applications. In this article, we present the design, operation, and performance of a recently developed tabletop terahertz (THz) spectroscopic molecular sensor capable of rapid (minutes) and sensitive detection of polar gaseous analytes with near "absolute" specificity. A novel double-coil absorption cell design and an array of room-temperature sorbent-based preconcentration modules facilitate quantitative THz detection of light polar volatile compounds, which often challenge the capabilities of established gas sensing techniques. Acetone, ethanol, methanol, acetaldehyde, formaldehyde, and isoprene are detected at low parts-per-billion to high parts-per-trillion levels. This work evaluates performance-limiting factors for THz spectroscopy-based chemical identification (1) spectral signal to noise and (2) preconcentrator efficiency.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Terahertz Spectroscopy / Gases Type of study: Prognostic_studies Language: En Journal: ACS Sens Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Terahertz Spectroscopy / Gases Type of study: Prognostic_studies Language: En Journal: ACS Sens Year: 2022 Type: Article Affiliation country: United States