Design and development of a miniaturised total chemical analysis system for on-line lactate and glucose monitoring in biological samples

1997 ◽  
Vol 346 (3) ◽  
pp. 341-349 ◽  
Author(s):  
Eithne Dempsey ◽  
Dermot Diamond ◽  
Malcolm R Smyth ◽  
Gerald Urban ◽  
Gerhard Jobst ◽  
...  
Keyword(s):  
Chemical Analysis ◽  
Biological Samples ◽  
Glucose Monitoring ◽  
Design And Development ◽  
On Line ◽  
Analysis System

Experiment analysis of high output pressure piezoelectric pump with straight arm wheeled check valve

2021 ◽  
pp. 1045389X2098700
Author(s):  
Lipeng He ◽  
Xiaoqiang Wu ◽  
Zheng Zhang ◽  
Zhe Wang ◽  
Bangcheng Zhang ◽  
...  
Keyword(s):  
Chemical Analysis ◽  
Energy Loss ◽  
Check Valve ◽  
Experimental Results ◽  
Piezoelectric Pump ◽  
Output Pressure ◽  
Pressure Characteristic ◽  
Analysis System ◽  
Experiment Analysis ◽  
High Output

Piezoelectric pumps are applied in many fields, such as chemical analysis system and fluid pumping systems. Piezoelectric pumps with high output pressure can meet the needs of more fields. This article introduces the design and fabrication of a high output pressure piezoelectric pump with straight arm wheeled check valve. In this paper, the influence of straight arm wheeled check valve on the output pressure of piezoelectric pump is deeply discussed from the aspect of energy loss. This study investigated the effect of valve arm number ( N = 2, 3,4, and 5), the valve arm width ( W = 0.8, 1.0, and 1.2 mm), and the valve arm length ( L = 1.92, 2.02, and 2.12 mm) on the output pressure of piezoelectric pump. The output pressure characteristic of straight arm wheeled check valve piezoelectric pump with different valve parameters is obtained by experiment. Experimental results show that when N = 4, W = 1.0 mm, L = 2.02 mm, the output pressure of the straight arm wheeled check valve piezoelectric pump has the best output pressure of 27.41 kPa at 220 V and 85 Hz. This study provides a reference for the further application of piezoelectric pumps in fluid pumping field.

A modular miniaturized chemical analysis system

1993 ◽  
Vol 13 (1-3) ◽  
pp. 333-335 ◽  
Author(s):  
Bart H. van der Schoot ◽  
Sylvain Jeanneret ◽  
Albert van den Berg ◽  
Nico F. de Rooij
Keyword(s):  
Chemical Analysis ◽  
Analysis System

On-line coupling of solid-phase extraction with mass spectrometry for the analysis of biological samples

2003 ◽  
Vol 794 (1) ◽  
pp. 185-192 ◽  
Author(s):  
M.W.J van Hout ◽  
C.M Hofland ◽  
H.A.G Niederländer ◽  
A.P Bruins ◽  
R.A de Zeeuw ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Solid Phase Extraction ◽  
Biological Samples ◽  
Solid Phase ◽  
Phase Extraction ◽  
On Line ◽  
Line Coupling

Utilisation d'une ligne de microphotodiodes en spectroscopie dispersive : application à la détection du NO2

1983 ◽  
Vol 61 (2) ◽  
pp. 301-304 ◽  
Author(s):  
Jacques Bures ◽  
François Leonard ◽  
Jean-Pierre Monchalin
Keyword(s):  
Absorption Spectrum ◽  
Systematic Errors ◽  
Sufficient Information ◽  
Atmospheric Pollutant ◽  
Spatial Frequencies ◽  
Low Pass ◽  
On Line ◽  
Photodiode Array ◽  
Analysis System

A self-scanned photodiode array has been used as a multiplex sensor for laboratory detection and measurement, by dispersive spectroscopy, of trace quantities of the atmospheric pollutant NO2. The on-line data acquisition and numerical analysis system allows in particular to eliminate some systematic errors and drifts (Taylor filtering) and the noise associated with high spatial frequencies (low-pass filtering). We have then been able to show that an absorption spectrum, corresponding to low absorber concentrations, has a sufficient information content for the characterization of the pollutant and the measurement of its concentration (ppm m), even when noise and drifts are present. The proposed system can be favorably compared to the ones, based on a single photoelectric detector, which are commercially used.

scholarly journals On-Line and Off-Line ECG and Motion Activity Monitoring System for Athletes

2018 ◽  
Vol 3 (66) ◽  
Author(s):  
Stasys Korsakas ◽  
Alfonsas Vainoras ◽  
Liudas Gargasas ◽  
Vytenis Miškinis ◽  
Rimtautas Ruseckas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Monitoring System ◽  
Activity Monitoring ◽  
Activity Level ◽  
Respiration Frequency ◽  
Hardware System ◽  
Motion Activity ◽  
On Line ◽  
Analysis System ◽  
Line Analysis

The aim of this paper is to present a new ECG and motion activity monitoring and on-line analysis system for athle-tes. The developed system is intended to facilitate the coach in optimizing and individualizing the training of elite athletes.The hardware system consists of the device for registration of ECG and accelerometer signals and wireless trans-mission to computer. The coach software works in two modes: on-line version is used during training and off-line version is designed for detailed data analysis after training. The new method for respiration frequency evaluation was developed and checked on 28 persons, and in most cases the developed algorithm correctly evaluated the respiration frequency of the investigated persons. The evaluation of athlete’s functional state from calculated and measured pa-rameters and formation of warning signals (green — normal state, yellow — limitary state and red — premonitory state) is based on the analysis applying Moore and Mealy automata algorithms. The software for the evaluation of the patient’s activity was tested on 11 healthy students: the increase in physical activity level during the brisk walk was 1.4 times higher compared to the level during the slow walk, and during the jogging sessions it was 1.89 times higher than during the slow walk.The results obtained during the investigations show that the developed ECG and motion activity monitoring system with two packages of software allows to measure cardio respiratory changes and changes in intensities of physical activity under daily conditions. The comprehensive off-line analysis by monitoring data provides the possibility for coaches to make more detailed analysis of cardio respiratory changes and changes in intensities during training.Keywords: monitoring system for athletes, electrocardiogram, accelerometry, respiration frequency.

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