The design techniques and applications of gas measurement systems based on MOX sensor array

Author(s):  
Luay Shahin
2009 ◽  
Author(s):  
Juergen Hildenbrand ◽  
Andre Eberhardt ◽  
Carolin Peter ◽  
Juergen Woellenstein ◽  
Jan Korvink

2006 ◽  
Vol 116 (1-2) ◽  
pp. 11-16 ◽  
Author(s):  
Antonio Pardo ◽  
Lourdes Cámara ◽  
Joan Cabré ◽  
Alexandre Perera ◽  
Xavier Cano ◽  
...  

Author(s):  
DT Harrje ◽  
RN Dietz ◽  
M Sherman ◽  
DL Bohac ◽  
TW D'Ottavio ◽  
...  

2015 ◽  
Vol 33 (4) ◽  
pp. 208-213 ◽  
Author(s):  
Jian Zhen Ou ◽  
C.K. Yao ◽  
Asaf Rotbart ◽  
Jane G. Muir ◽  
Peter R. Gibson ◽  
...  

2013 ◽  
Vol 443 ◽  
pp. 205-208
Author(s):  
Lu Feng Li

In this paper, a system composed of the intelligent sensor array is designed to measure various kinds of gas. The system is mainly feasible for gas measurement in coal-mines, family environments, and air pollution and so forth. The system mainly consists of sensors, single-chip microcomputers and peripheral circuits. In this paper, the major focus lies on the composition of the system, the hardware system and the software design. Apart from that, experimental tests are conducted.


Retos ◽  
2021 ◽  
Vol 41 ◽  
pp. 695-700
Author(s):  
Jose Naranjo Orellana ◽  
Sergio Muela Galán

The aim of this study was to assess the validity of VO2max prediction using retrograde extrapolation in a breath-by-breath (BxB) gas measurement system. A retrospective study was performed, analysing 31 incremental and maximal stress tests carried out in our laboratory, corresponding to male subjects who practised different sporting activities (age: 29.9 ± 14.45 years; height: 174.4 ± 6.5 cm; weight: 71.4 ± 7.2 kg). A linear regression of the first minute of recovery was used to obtain extrapolated VO2max data and, subsequently, a correction equation was applied that provided predicted VO2max values. Given the variability of data in BxB measurement systems, extrapolated values can be expected to vary significantly from those actually measured, but differences disappeared in the predicted values, which were almost identical to those measured. This method enables stress tests to be performed without having to record gas measurements until the end. It could be useful for the validation of specific field tests, measuring VO2 trackside after the test, during recovery. Resumen. El objetivo de este estudio fue evaluar la validez de la predicción del VO2máx mediante la extrapolación retrógrada en un sistema de medición de gases respiración a respiración (BxB). Se realizó un estudio retrospectivo, analizando 31 pruebas de esfuerzo incrementales y máximas realizadas en nuestro laboratorio, correspondientes a sujetos masculinos que practicaban diferentes actividades deportivas (edad: 29,9 ± 14,45 años; talla: 174,4 ± 6,5 cm; peso: 71,4 ± 7,2 kg). Se utilizó una regresión lineal del primer minuto de recuperación para obtener datos de VO2max extrapolados y, posteriormente, se aplicó una ecuación de corrección que proporcionó valores de VO2max predichos. Dada la variabilidad de los datos en los sistemas de medición BxB, se puede esperar que los valores extrapolados varíen significativamente de los realmente medidos, pero las diferencias desaparecieron en los valores predichos, que eran casi idénticos a los medidos. Este método permite realizar pruebas de esfuerzo sin tener que registrar mediciones de gas hasta el final. Podría ser útil para la validación de pruebas de campo específicas, midiendo el VO2 a pie de campo después de la prueba, durante la recuperación.


Author(s):  
Cheng Hu ◽  
Xidong Qu ◽  
Q. M. Jonathan Wu ◽  
Glenn Chapman

Palladium-MOS hydrogen sensors have wide applications in the industries. This paper presents a novel design and development of a hydrogen sensor and sensor array based on MOS capacitor structure. An empirical model for sensors’ response to hydrogen concentrations is established and validated. Experimental results demonstrate that the sensor is highly sensitive to hydrogen gas, is capable of not only hydrogen leaks detection, but leaks location, and gas distribution monitoring.


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