scholarly journals Thin nanocrystalline semiconductor films as selective chemical sensors for ammonia, acetone and other donors

2021 ◽  
Vol 2103 (1) ◽  
pp. 012125
Author(s):  
V Chistyakov ◽  
S Kazakov ◽  
M Grevtsev ◽  
S Solov’yov
Keyword(s):  
Data Processing ◽  
Nonlinear Regression ◽  
Chemical Sensors ◽  
Regression Estimation ◽  
Temperature Modulation ◽  
Semiconductor Films ◽  
Selective Chemical ◽  
Nanocrystalline Semiconductor

Abstract Studied are the films of variously doped polycrystalline n-semiconductors (ZnO, SnO2) as selective sensitive elements (SE) of chemical sensors for various gases and vapours (ammonia, acetone, propane, ethanol, hexane, solvent, turpentine etc.) in artificial air. It has been revealed that their conductivity changes under temperature modulation makes possible data processing which identifies the impurities above. This processing is based on nonlinear regression estimation of so called principal parameters which set is unique for every concentration of every of the gases/vapours.

Imprinting with Chemical Sensors - Challenges in Molecular Recognition and Universal Application

2003 ◽  
Vol 787 ◽  
Author(s):  
Franz L. Dickert ◽  
Peter A. Lieberzeit ◽  
Sylwia Gazda-Miarecka ◽  
Konstantin Halikias ◽  
Roland Bindeus
Keyword(s):  
Chemical Sensors ◽  
Chemical Sensor ◽  
Capacitive Sensor ◽  
Functional Polymers ◽  
Template Molecule ◽  
Selectivity Factor ◽  
Aromatic System ◽  
Polycyclic Aromatic ◽  
Selective Chemical ◽  
Universal Application

ABSTRACTMolecular imprinting leads to functional polymers that are capable to incorporate the template used and thus lead to selective chemical sensor systems when combined with a suitable transducer. Benzene and xylene can e.g. be distinguished with a selectivity factor of nearly ten using mass-sensitive devices such as QCM and SAW, although they both contain an aromatic system and differ only by the methyl groups. Sensing materials are further tuned by using binary mixtures as templates. When analyzing polycyclic aromatic hydrocarbons (PAH) by fluorescence and QCM measurements, the sensitivity is substantially increased if a second template molecule is applied as a porogen. Capacitive sensor measurements on polymers imprinted with microorganisms, such as yeasts, show substantial sensor responses due to highly selective inclusion compared with a non-functionalised surface yielding only negligible effects.

Highly Selective Chemical Sensors Enabled By Ethanol Filters

2020 ◽  
Vol MA2020-01 (35) ◽  
pp. 2463-2463
Author(s):  
Ines C. Weber ◽  
Andreas T. Güntner ◽  
Sotiris E. Pratsinis
Keyword(s):  
Chemical Sensors ◽  
Selective Chemical

Near-IR transient absorption spectra of N3 dye as a probe of aggregation on nanocrystalline semiconductor films

2006 ◽  
Vol 423 (4-6) ◽  
pp. 417-421 ◽  
Author(s):  
Miki Murai ◽  
Akihiro Furube ◽  
Masatoshi Yanagida ◽  
Kohjiro Hara ◽  
Ryuzi Katoh
Keyword(s):  
Absorption Spectra ◽  
Transient Absorption ◽  
Semiconductor Films ◽  
Transient Absorption Spectra ◽  
Near Ir ◽  
Nanocrystalline Semiconductor

scholarly journals Electronic Tongues for Inedible Media

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5113 ◽  
Author(s):  
Dmitry Kirsanov ◽  
Daniel Correa ◽  
Gabriel Gaal ◽  
Antonio Riul ◽  
Maria Braunger ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Processing ◽  
Basic Principle ◽  
Chemical Sensors ◽  
Multivariate Data ◽  
Multisensor Systems

“Electronic tongues”, “taste sensors”, and similar devices (further named as “multisensor systems”, or MSS) have been studied and applied mostly for the analysis of edible analytes. This is not surprising, since the MSS development was sometimes inspired by the mainstream idea that they could substitute human gustatory tests. However, the basic principle behind multisensor systems—a combination of an array of cross-sensitive chemical sensors for liquid analysis and a machine learning engine for multivariate data processing—does not imply any limitations on the application of such systems for the analysis of inedible media. This review deals with the numerous MSS applications for the analysis of inedible analytes, among other things, for agricultural and medical purposes.

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