دورية أكاديمية

A method for chemometric classification of unknown vapors from the responses of an array of volume-transducing sensors.

التفاصيل البيبلوغرافية
العنوان: A method for chemometric classification of unknown vapors from the responses of an array of volume-transducing sensors.
المؤلفون: Grate JW; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, USA., Wise BM
المصدر: Analytical chemistry [Anal Chem] 2001 May 15; Vol. 73 (10), pp. 2239-44.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print Cited Medium: Print ISSN: 0003-2700 (Print) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Washington, American Chemical Society.
مستخلص: A method for the characterization and classification of unknown vapors based on the responses on an array of polymer-based volume-transducing vapor sensors is presented. Unlike conventional pattern recognition methods, the sensor array pattern vector is converted into another vector containing vapor descriptors. Equations are developed to show how this approach can be applied to arrays of sensors where each sensor responds to the fractional volume increase of the polymer upon vapor sorption. The vapor sorption step of the response is modeled with linear solvation energy relationships using solvation parameters as vapor descriptors. The response model also includes the vapor concentration, the sensitivity to fractional volume increases, and the specific volume of the vapor as a liquid. The response model can be solved for the vapor descriptors given the array responses and sensitivity factors, following an approach described previously for purely gravimetric sensors. The vapors can then be classified from a database of candidate vapor descriptors. Chemiresistor vapor sensors coated with composite polymer films containing conducting particles represent a volume-transducing sensor technology to which this new classification method should apply. Preliminary equations are also presented for sensors that respond on the basis of both the mass and the volume of a sorbed vapor. Surface acoustic wave sensors with acoustically thin polymer films that respond to both mass and modulus effects may fit this classification approach.
تواريخ الأحداث: Date Created: 20010608 Date Completed: 20010712 Latest Revision: 20190717
رمز التحديث: 20221213
DOI: 10.1021/ac001233b
PMID: 11393847
قاعدة البيانات: MEDLINE
الوصف
تدمد:0003-2700
DOI:10.1021/ac001233b