scholarly journals A multi-parameter miniature photometric analyser for fully automated environmental water monitoring

2019 ◽  
Vol 6 (1) ◽  
pp. 34-39
Author(s):  
Daniele Paesani
Keyword(s):  
Sea Water ◽  
Process Analysis ◽  
Wide Spectrum ◽  
Industrial Process ◽  
Environmental Water ◽  
In Situ Monitoring ◽  
On Line ◽  
Analyte Detection ◽  
Increasing Demand

Nowadays, the increasing demand for constant in-situ monitoring of clean water, wastewater and sea water requires the deployment of automated platforms capable of on-line autonomous sampling, extended unattended operation and of multi-analyte detection. The Micro Loop Injection Analyser (μLIA) system hereby presented relies on integrated additively manufactured opto-fluidic components which allow for increased performance solutions to be implemented cost-effectively and in miniaturised footprints, targeting a wide spectrum of applications which ranges from in-situ environmental monitoring and field water testing to industrial process analysis. Preliminary tests of the μLIA unit have shown good reproducibility and stability of the system and a good performance of its self-calibration routines.

New chalcogenide glass chemical sensors for S2- and dissolved H2S monitoring

2003 ◽  
Vol 47 (2) ◽  
pp. 135-140 ◽  
Author(s):  
M. Miloshova ◽  
D. Baltes ◽  
E. Bychkov
Keyword(s):  
Process Control ◽  
Chalcogenide Glass ◽  
Chemical Sensors ◽  
Industrial Process ◽  
In Situ Monitoring ◽  
Potential Hazard ◽  
Reliable Monitoring ◽  
Industrial Process Control ◽  
Monitoring Devices

A non-optimised treatment of wastewaters containing organic and biological substances is very often accompanied by an accidental emanation of hydrogen sulphide H2S and therefore leads (i) to an undesirable odour in the vicinity of water treatment plants, and (ii) to a potential hazard for the neighbouring population. Fast, sensitive and reliable monitoring devices are hence of significant importance. Chalcogenide and chalcohalide glasses are new promising membrane materials for detection of heavy metal ions and toxic anions and particularly well adapted for continuous in situ monitoring and industrial process control. In the present paper, we will discuss analytical characteristics of new chalcogenide glass chemical sensors for detection of S2− and dissolved H2S, which allow reliable process control to be carried out at natural pH of wastewaters.

On-line in situ monitoring of the soybean oil and ethanol transesterification reaction by fluorescence spectroscopy

Fuel ◽  
2015 ◽  
Vol 145 ◽  
pp. 109-115 ◽  
Author(s):  
T. Izida ◽  
L. Bussler ◽  
J.R. Silva ◽  
L.H.C. Andrade ◽  
E. Simionatto ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Soybean Oil ◽  
Transesterification Reaction ◽  
In Situ Monitoring ◽  
On Line

Development of a measuring system for on-line in situ monitoring of composite materials manufacturing

2016 ◽  
Vol 90 ◽  
pp. 760-770 ◽  
Author(s):  
R. Polanský ◽  
J. Pihera ◽  
J. Komárek ◽  
R. Pavlica ◽  
P. Prosr ◽  
...  
Keyword(s):  
Composite Materials ◽  
In Situ Monitoring ◽  
Measuring System ◽  
On Line

On-line and in situ monitoring of biomass in submerged cultivations

1997 ◽  
Vol 15 (12) ◽  
pp. 517-522 ◽  
Author(s):  
Lisbeth Olsson ◽  
Jens Nielsen
Keyword(s):  
In Situ Monitoring ◽  
On Line

Application of Fundamental Parameter Software to On-Line XRF Analysis

1988 ◽  
Vol 32 ◽  
pp. 39-44
Author(s):  
D.J. Leland ◽  
D.E. Leyden ◽  
A.R. Harding
Keyword(s):  
Process Analysis ◽  
Industrial Process ◽  
Fluorescence Analysis ◽  
Fundamental Parameter ◽  
Important Method ◽  
X Ray ◽  
Considerable Success ◽  
On Line ◽  
Line Process ◽  
Safety Considerations

X-ray fluorescence analysis (XRF) is an analytical method which has been adapted with considerable success to on-line industrial process analysis with various degrees of sophistication. Process analysis XRF systems range from relatively simple units utilizing radioisotope sources with non-dispersive analyzers to complex wavelength dispersive systems in a central location receiving samples from a number of process streams. The advantages of on-line process analytical instrumentation for quality control, regulatory 2 compliance and safety considerations are well documented. ' Advances in the development of low maintenance thermoelectrically cooled Si(Li) detectors have made energy dispersive X-ray fluorescence analysis (EDXRF) even more amendable to on-line process analysis. EDXRF is an important method of on-line instrumentation because of its ability to simultaneously detect many elements.

scholarly journals Muscle-on-a-chip with an on-site multiplexed biosensing system for in situ monitoring of secreted IL-6 and TNF-α

Lab on a Chip ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 2568-2580 ◽  
Author(s):  
María A. Ortega ◽  
Xiomara Fernández-Garibay ◽  
Albert G. Castaño ◽  
Francesco De Chiara ◽  
Alejandro Hernández-Albors ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Tissue ◽  
Skeletal Muscle Tissue ◽  
In Situ Monitoring ◽  
Proof Of Concept ◽  
Cell Stimulation ◽  
Tnf Α ◽  
Analyte Detection ◽  
Biosensing System

We present an integrated microdevice capable of simultaneous, in situ cell stimulation and analyte detection. As a proof of concept, the detection of secreted cytokines from an engineered 3D skeletal muscle tissue was measured.

Application in Avionics Anomaly Detection Using Multi-Variant Hotelling T2 Statistics

2012 ◽  
Vol 472-475 ◽  
pp. 473-476 ◽  
Author(s):  
Yi Wang ◽  
Ming Qing Xiao ◽  
Sheng Sheng ◽  
Liang Liang Zhao
Keyword(s):  
Anomaly Detection ◽  
Health Management ◽  
Fault Injection ◽  
Test System ◽  
In Situ Monitoring ◽  
Management Problem ◽  
On Line ◽  
Line Test ◽  
System Prototype

This article proposes a framework of in-situ monitoring for anomaly detection of avionics, Uses the multi-variant Hotelling T2 statistics to form a quickly reference to the anomaly behavior. The proposed method can be used to solve the data driven Prognostics and Health Management problem to detect the anomaly behavior of equipment as well as the potential isolation and diagnosis of the symptoms of incoming faults. The article also gives a structure of an on-line test and monitoring system prototype, based on the legacy on-line test system, as well as developed a basic information gathering route and a multi-variant test based anomaly detection method. A fault injection based simulation experiment was formed to validate the performance of the system and method under consideration. The results shows that the proposed method has a solid mathematics fundamental and the advantages as well as good performance, worth to be spread.

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