Multi physical-chemical profiler for real-time automated in situ monitoring of specific fractions of trace metals and master variables

2003 ◽  
Vol 107 ◽  
pp. 1297-1300
Author(s):  
M.-L. Tercier-Waeber ◽  
F. Confalonieri ◽  
G. Riccardi ◽  
A. Sina ◽  
F. Graziottin ◽  
...  
Keyword(s):  
Trace Metals ◽  
Real Time ◽  
In Situ Monitoring ◽  
Physical Chemical

Multi Physical–Chemical profiler for real-time in situ monitoring of trace metal speciation and master variables: Development, validation and field applications

2005 ◽  
Vol 97 (3-4) ◽  
pp. 216-235 ◽  
Author(s):  
Mary-Lou Tercier-Waeber ◽  
Fabio Confalonieri ◽  
Giuliano Riccardi ◽  
Antonio Sina ◽  
Stéphane Nöel ◽  
...  
Keyword(s):  
Trace Metal ◽  
Real Time ◽  
Metal Speciation ◽  
In Situ Monitoring ◽  
Physical Chemical ◽  
Trace Metal Speciation

scholarly journals A sample cell for the study of enzyme-induced carbonate precipitation at the grain-scale and its implications for biocementation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jennifer Zehner ◽  
Anja Røyne ◽  
Pawel Sikorski
Keyword(s):  
Real Time ◽  
Laser Scanning Microscopy ◽  
In Situ Monitoring ◽  
Confocal Laser ◽  
Precipitation Process ◽  
Successful Implementation ◽  
Detailed Knowledge ◽  
Carbonate Precipitation ◽  
Sample Cell

AbstractBiocementation is commonly based on microbial-induced carbonate precipitation (MICP) or enzyme-induced carbonate precipitation (EICP), where biomineralization of $$\text {CaCO}_{3}$$ CaCO 3 in a granular medium is used to produce a sustainable, consolidated porous material. The successful implementation of biocementation in large-scale applications requires detailed knowledge about the micro-scale processes of $$\text {CaCO}_{3}$$ CaCO 3 precipitation and grain consolidation. For this purpose, we present a microscopy sample cell that enables real time and in situ observations of the precipitation of $$\text {CaCO}_{3}$$ CaCO 3 in the presence of sand grains and calcite seeds. In this study, the sample cell is used in combination with confocal laser scanning microscopy (CLSM) which allows the monitoring in situ of local pH during the reaction. The sample cell can be disassembled at the end of the experiment, so that the precipitated crystals can be characterized with Raman microspectroscopy and scanning electron microscopy (SEM) without disturbing the sample. The combination of the real time and in situ monitoring of the precipitation process with the possibility to characterize the precipitated crystals without further sample processing, offers a powerful tool for knowledge-based improvements of biocementation.

scholarly journals Microwave Sensors for In Situ Monitoring of Trace Metals in Polluted Water

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3147
Author(s):  
Ilaria Frau ◽  
Stephen Wylie ◽  
Patrick Byrne ◽  
Patrizia Onnis ◽  
Jeff Cullen ◽  
...  
Keyword(s):  
Trace Metals ◽  
In Situ Monitoring ◽  
Polluted Water ◽  
Pollution Level ◽  
Mining Areas ◽  
Low Concentrations ◽  
The Uk ◽  
Microwave Sensors ◽  
Immediate Response

Thousands of pollutants are threatening our water supply, putting at risk human and environmental health. Between them, trace metals are of significant concern, due to their high toxicity at low concentrations. Abandoned mining areas are globally one of the major sources of toxic metals. Nowadays, no method can guarantee an immediate response for quantifying these pollutants. In this work, a novel technique based on microwave spectroscopy and planar sensors for in situ real-time monitoring of water quality is described. The sensors were developed to directly probe water samples, and in situ trial measurements were performed in freshwater in four polluted mining areas in the UK. Planar microwave sensors were able detect the water pollution level with an immediate response specifically depicted at three resonant peaks in the GHz range. To the authors’ best knowledge, this is the first time that planar microwave sensors were tested in situ, demonstrating the ability to use this method for classifying more and less polluted water using a multiple-peak approach.

scholarly journals Sensitive In Situ Monitoring of a Recombinant Bioluminescent Yersinia enterocolitica Reporter Mutant in Real Time on Camembert Cheese

2002 ◽  
Vol 68 (11) ◽  
pp. 5737-5740 ◽  
Author(s):  
Ariel Maoz ◽  
Ralf Mayr ◽  
Geraldine Bresolin ◽  
Klaus Neuhaus ◽  
Kevin P. Francis ◽  
...  
Keyword(s):  
Real Time ◽  
Yersinia Enterocolitica ◽  
Photon Emission ◽  
Photon Counting ◽  
In Situ Monitoring ◽  
Charge Coupled Device ◽  
Reading Frame ◽  
Intensified Charge Coupled Device ◽  
Camembert Cheese

ABSTRACT Bioluminescent mutants of Yersinia enterocolitica were generated by transposon mutagenesis using a promoterless, complete lux operon (luxCDABE) derived from Photorhabdus luminescens, and their production of light in the cheese environment was monitored. Mutant B94, which had the lux cassette inserted into an open reading frame of unknown function was used for direct monitoring of Y. enterocolitica cells on cheeses stored at 10°C by quantifying bioluminescence using a photon-counting, intensified charge-coupled device camera. The detection limit on cheese was 200 CFU/cm2. Bioluminescence of the reporter mutant was significantly regulated by its environment (NaCl, temperature, and cheese), as well as by growth phase, via the promoter the lux operon had acquired upon transposition. At low temperatures, mutant B94 did not exhibit the often-reported decrease of photon emission in older cells. It was not necessary to include either antibiotics or aldehyde in the food matrix in order to gain quantitative, reproducible bioluminescence data. As far as we know, this is the first time a pathogen has been monitored in situ, in real time, in a “real-product” status, and at a low temperature.

Fast, Real-Time, In Situ Monitoring of Solar Ultraviolet Radiation Using Sunlight-Driven Photoresponsive Liquid Crystals

2018 ◽  
Vol 6 (6) ◽  
pp. 1701337 ◽  
Author(s):  
Jiajun Tian ◽  
Yanrong He ◽  
Juntao Li ◽  
Jie Wei ◽  
Gangqiang Li ◽  
...  
Keyword(s):  
Liquid Crystals ◽  
Ultraviolet Radiation ◽  
Real Time ◽  
In Situ Monitoring ◽  
Solar Ultraviolet Radiation ◽  
Solar Ultraviolet

Multifunctional 3D electrode platform for real-time in situ monitoring and stimulation of cardiac tissues

2018 ◽  
Vol 112 ◽  
pp. 149-155 ◽  
Author(s):  
Ning Zhang ◽  
Flurin Stauffer ◽  
Benjamin R. Simona ◽  
Feng Zhang ◽  
Zhao-Ming Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
In Situ Monitoring ◽  
Cardiac Tissues ◽  
3D Electrode ◽  
Stimulation Of

In-Situ Monitoring of Laser Powder Bed Fusion Process Anomalies via a Comprehensive Analysis of Off-Axis Camera Data

2020 ◽  
Author(s):  
Chaitanya Krishna Prasad Vallabh ◽  
Yubo Xiong ◽  
Xiayun Zhao
Keyword(s):  
Real Time ◽  
Network Architecture ◽  
Video Data ◽  
In Situ Monitoring ◽  
Process Efficiency ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Monitoring Method ◽  
Powder Bed

Abstract In-situ monitoring of a Laser Powder-Bed Fusion (LPBF) additive manufacturing process is crucial in enhancing the process efficiency and ensuring the built part integrity. In this work, we present an in-situ monitoring method using an off-axis camera for monitoring layer-wise process anomalies. The in-situ monitoring is performed with a spatial resolution of 512 × 512 pixels, with each pixel representing 250 × 250 μm and a relatively high data acquisition rate of 500 Hz. An experimental study is conducted by using the developed in-situ off-axis method for monitoring the build process for a standard tensile bar. Real-time video data is acquired for each printed layer. Data analytics methods are developed to identify layer-wise anomalies, observe powder bed characteristics, reconstruct 3D part structure, and track the spatter dynamics. A deep neural network architecture is trained using the acquired layer-wise images and tested by images embedded with artificial anomalies. The real-time video data is also used to perform a preliminary spatter analysis along the laser scan path. The developed methodology is aimed to extract as much information as possible from a single set of camera video data. It will provide the AM community with an efficient and capable process monitoring tool for process control and quality assurance while using LPBF to produce high-standard components in industrial (such as, aerospace and biomedical industries) applications.

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