In-situ monitoring by fibre-optic NIR spectroscopy and rheometry of maleic anhydride grafting to polypropylene in a laboratory scale reactive extruder

2012 ◽  
Vol 31 (1) ◽  
pp. 155-163 ◽  
Author(s):  
Lalehvash Moghaddam ◽  
Llewellyn Rintoul ◽  
Peter J. Halley ◽  
Graeme A. George ◽  
Peter M. Fredericks
Keyword(s):  
Maleic Anhydride ◽  
Nir Spectroscopy ◽  
Laboratory Scale ◽  
In Situ Monitoring ◽  
Fibre Optic

Online sensing of volatile organic compounds in groundwater using mid-infrared fibre optic evanescent wave spectroscopy: a pilot scale test

2003 ◽  
Vol 47 (2) ◽  
pp. 121-126 ◽  
Author(s):  
H. Steiner ◽  
K. Staubmann ◽  
R. Allabashi ◽  
N. Fleischmann ◽  
A. Katzir ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Pilot Plant ◽  
Pilot Scale ◽  
In Situ Monitoring ◽  
Fibre Optic ◽  
Sensor Head ◽  
Sensing System ◽  
Volatile Organic

A prototype sensing system for in-situ monitoring of volatile organic compounds in contaminated groundwater was tested at a pilot scale plant. The sensor consists of a commercially available Fourier transform infrared spectrometer, connected to a 6 m long infrared transparent silver halide fibre optic cable. A 10 cm long core-only section at the centre of the fibre is mounted on a sensor head and coated with a hydrophobic polymer layer, while the remaining fibre is protected by Teflon tubing and thus not in contact with the surrounding media. The sensor head was immersed into the monitoring wells of the pilot plant testing the sensor system under circumstances close to field conditions and typical for in-situ measurements. The pilot plant consists of a 1 m3 cubic tank filled with gravel. A pump is used to circulate water horizontally through the tank, simulating a natural aquifer. The evolution of the concentration of analytes injected into the system is monitored with time using the developed prototype sensing system. The results are validated by corresponding sampling and analysis with headspace gas chromatography.

scholarly journals UV-Vis/FT-NIR in situ monitoring of visible-light induced polymerization of PEGDA hydrogels initiated by eosin/triethanolamine/O2

2016 ◽  
Vol 7 (3) ◽  
pp. 592-602 ◽  
Author(s):  
Kaja Kaastrup ◽  
Alan Aguirre-Soto ◽  
Chen Wang ◽  
Christopher N. Bowman ◽  
Jeffrey W. Stansbury ◽  
...  
Keyword(s):  
Visible Light ◽  
Network Formation ◽  
Nir Spectroscopy ◽  
In Situ Monitoring ◽  
Signal Loss

Coupled UV-Vis/FT-NIR spectroscopy was applied to the study of the eosin-activated photopolymerization of hydrogels in the presence of oxygen; a relationship between signal loss and network formation was established.

scholarly journals In-situ monitoring of saccharides removal of alcohol precipitation using near-infrared spectroscopy

2018 ◽  
Vol 11 (05) ◽  
pp. 1850027 ◽  
Author(s):  
Hongxia Huang ◽  
Haibin Qu
Keyword(s):  
Root Mean Square ◽  
Near Infrared ◽  
Process Analytical Technology ◽  
Nir Spectroscopy ◽  
In Situ Monitoring ◽  
Mean Square ◽  
Model Errors ◽  
Precipitation Processes ◽  
Mean Square Errors

As unsafe components in herbal medicine (HM), saccharides can affect not only the drug appearance and stabilization, but also the drug efficacy and safety. The present study focuses on the in-line monitoring of batch alcohol precipitation processes for saccharide removal using near-infrared (NIR) spectroscopy. NIR spectra in the 4000–10,000-cm[Formula: see text] wavelength range are acquired in situ using a transflectance probe. These directly acquired spectra allow characterization of the dynamic variation tendency of saccharides during alcohol precipitation. Calibration models based on partial least squares (PLS) regression have been developed for the three saccharide impurities, namely glucose, fructose, and sucrose. Model errors are estimated as the root-mean-square errors of cross-validation (RMSECVs) of internal validation and root-mean-square errors of prediction (RMSEPs) of external validation. The RMSECV values of glucose, fructose, and sucrose were 1.150, 1.535, and 3.067[Formula: see text]mg[Formula: see text]mL[Formula: see text], and the RMSEP values were 0.711, 1.547, and 3.740[Formula: see text][Formula: see text], respectively. The correlation coefficients [Formula: see text] between the NIR predictive and the reference measurement values were all above 0.94. Furthermore, NIR predictions based on the constructed models improved our understanding of sugar removal and helped develop a control strategy for alcohol precipitation. The results demonstrate that, as an alternative process analytical technology (PAT) tool for monitoring batch alcohol precipitation processes, NIR spectroscopy is advantageous for both efficient determination of quality characteristics (fast, in situ, and requiring no toxic reagents) and process stability, and evaluating the repeatability.

In situ monitoring of polyurethane cure using fibre-optical FT-NIR spectroscopy

2007 ◽  
Vol 29 (5) ◽  
pp. 417-429 ◽  
Author(s):  
S. Benali ◽  
D. Bertrand ◽  
J. Dupuy ◽  
G. Lachenal ◽  
A. Maazouz
Keyword(s):  
Nir Spectroscopy ◽  
In Situ Monitoring

scholarly journals Machine learning applied as an in-situ monitoring technique for the water content in oil recovered by means of NIR spectroscopy

2021 ◽  
Vol 2 (1) ◽  
pp. 405-416
Author(s):  
Ayslan S. P. da Costa ◽  
J Manuela Goncalves ◽  
Hosana O. Á. Neta ◽  
Douglas Alves ◽  
Elton Franceschi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Content ◽  
Nir Spectroscopy ◽  
In Situ Monitoring ◽  
Monitoring Technique

scholarly journals Development of an electrochemical sensor for in-situ monitoring of reactive species produced by cold physical plasma

2021 ◽  
Vol 326 ◽  
pp. 129007
Author(s):  
Zahra Nasri ◽  
Giuliana Bruno ◽  
Sander Bekeschus ◽  
Klaus-Dieter Weltmann ◽  
Thomas von Woedtke ◽  
...  
Keyword(s):  
Electrochemical Sensor ◽  
Reactive Species ◽  
In Situ Monitoring ◽  
Physical Plasma
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