scholarly journals Ultra-Thin Chips with ISFET Array for Continuous Monitoring of Body Fluids pH

2022 ◽  
pp. 1-1
Author(s):  
Mahdieh Shojaei Baghini ◽  
Anastasios Vilouras ◽  
Ravinder Dahiya
Keyword(s):  
Continuous Monitoring ◽  
Body Fluids

scholarly journals Separation and analysis of arylsulfatase isoenzymes in body fluids of man.

1978 ◽  
Vol 24 (8) ◽  
pp. 1305-1316 ◽  
Author(s):  
W D Bostick ◽  
S R Dinsmore ◽  
J E Mrochek ◽  
T P Waalkes
Keyword(s):  
Biochemical Markers ◽  
Continuous Monitoring ◽  
Anion Exchange Chromatography ◽  
Body Fluids ◽  
Exchange Chromatography ◽  
The Body ◽  
Arylsulfatase A ◽  
Differential Inhibition ◽  
Arylsulfatase Activity ◽  
The Individual

Abstract Soluble arylsulfatase (EC 3.1.6.1) is present in the body fluids of man in the form of two isoenzymes, arylsulfatase A and B, which reportedly are useful biochemical markers for certain types of malignancy. However, rapid assay of the individual isoenzymes is extremely difficult; procedures based on differential inhibition or activation of the isoenzymes in a mixture yield only semiquantitative results. A feature of these isoenzymes is their inhibition by some common anions (notably phosphate) at physiologic concentrations. The isoenzymes can be separated by anion-exchange chromatography, the B isoenzyme being eluted in the void volume and the A isoenzyme and the anionic inhibitors retarded. Lead is used to sequester phosphate, enabling measurement of A in the salt-eluted fraction. Using this technique, we have found significant elevations of B in the sera of patients with colorectal cancer. The potential of rapid, chromatographic separation coupled with continuous monitoring for arylsulfatase activity is discussed.

Isolation of Asbestos from Lung Tissue and Sputum

1982 ◽  
Vol 40 ◽  
pp. 330-331
Author(s):  
M. G. Williams ◽  
C. Corn ◽  
R. F. Dodson ◽  
G. A. Hurst
Keyword(s):  
Sodium Hypochlorite ◽  
Lung Tissue ◽  
Body Fluids ◽  
Unknown Etiology ◽  
The Past

During this century, interest in the particulate content of the organs and body fluids of those individuals affected by pneumoconiosis, cancer, or other diseases of unknown etiology developed and concern was further prompted with the increasing realization that various foreign particles were associated with or caused disease. Concurrently particularly in the past two decades, a number of methods were devised for isolating particulates from tissue. These methods were recently reviewed by Vallyathan et al. who concluded sodium hypochlorite digestion was both simple and superior to other digestion procedures.

The multicompartment SlideReactor – a novel concept for continuous monitoring of co-cultured cells

2009 ◽  
Vol 47 (01) ◽  
Author(s):  
N Billecke ◽  
S Tröller ◽  
N Raschzok ◽  
MH Morgül ◽  
NN Kammer ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Cultured Cells ◽  
Novel Concept

Transglutaminases: Protein Cross-Linking Enzymes in Tissues and Body Fluids

1994 ◽  
Vol 71 (04) ◽  
pp. 402-415 ◽  
Author(s):  
Daniel Aeschlimann ◽  
Mats Paulsson
Keyword(s):  
Body Fluids ◽  
Cross Linking ◽  
Protein Cross Linking

Remote diagnostics of vibrations of dynamic objects by Doppler microwave sensors

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov
Keyword(s):  
Intelligent Systems ◽  
Electromagnetic Waves ◽  
Continuous Monitoring ◽  
Phase Changes ◽  
Vibration Diagnostics ◽  
Remote Diagnostics ◽  
Active Vibration ◽  
Dynamic Objects ◽  
Microwave Sensors ◽  
Non Destructive

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.

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