scholarly journals Sensor Fusion: Comprehensive Real-Time, On-Line Monitoring for Process Control via Visible, Near-Infrared, and Raman Spectroscopy

ACS Sensors ◽  
2020 ◽  
Vol 5 (8) ◽  
pp. 2467-2475
Author(s):  
Amanda M. Lines ◽  
Gabriel B. Hall ◽  
Susan Asmussen ◽  
Jarrod Allred ◽  
Sergey Sinkov ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Process Control ◽  
Real Time ◽  
Sensor Fusion ◽  
Near Infrared ◽  
Infrared And Raman Spectroscopy ◽  
On Line

Comparing near infrared and Raman spectroscopy for on-line monitoring of emulsion copolymerization reactions

2004 ◽  
Vol 206 (1) ◽  
pp. 165-178 ◽  
Author(s):  
Marlon M. Reis ◽  
Pedro H.H. Araújo ◽  
Claudia Sayer ◽  
Reinaldo Giudici
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Emulsion Copolymerization ◽  
Infrared And Raman Spectroscopy ◽  
On Line

scholarly journals Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes

2011 ◽  
Vol 417 (1-2) ◽  
pp. 32-47 ◽  
Author(s):  
T. De Beer ◽  
A. Burggraeve ◽  
M. Fonteyne ◽  
L. Saerens ◽  
J.P. Remon ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Process Monitoring ◽  
Near Infrared ◽  
Production Processes ◽  
Infrared And Raman Spectroscopy ◽  
Pharmaceutical Production

scholarly journals Estimation of Secondary Soil Properties by Fusion of Laboratory and On-Line Measured Vis–NIR Spectra

2019 ◽  
Vol 11 (23) ◽  
pp. 2819 ◽  
Author(s):  
Muhammad Abdul Munnaf ◽  
Said Nawar ◽  
Abdul Mounem Mouazen
Keyword(s):  
Soil Properties ◽  
Real Time ◽  
Measurement Accuracy ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Accurate Estimation ◽  
Line Measurement ◽  
On Line

Visible and near infrared (vis–NIR) diffuse reflectance spectroscopy has made invaluable contributions to the accurate estimation of soil properties having direct and indirect spectral responses in NIR spectroscopy with measurements made in laboratory, in situ or using on-line (while the sensor is moving) platforms. Measurement accuracies vary with measurement type, for example, accuracy is higher for laboratory than on-line modes. On-line measurement accuracy deteriorates further for secondary (having indirect spectral response) soil properties. Therefore, the aim of this study is to improve on-line measurement accuracy of secondary properties by fusion of laboratory and on-line scanned spectra. Six arable fields were scanned using an on-line sensing platform coupled with a vis–NIR spectrophotometer (CompactSpec by Tec5 Technology for spectroscopy, Germany), with a spectral range of 305–1700 nm. A total of 138 soil samples were collected and used to develop five calibration models: (i) standard, using 100 laboratory scanned samples; (ii) hybrid-1, using 75 laboratory and 25 on-line samples; (iii) hybrid-2, using 50 laboratory and 50 on-line samples; (iv) hybrid-3, using 25 laboratory and 75 on-line samples, and (v) real-time using 100 on-line samples. Partial least squares regression (PLSR) models were developed for soil pH, available potassium (K), magnesium (Mg), calcium (Ca), and sodium (Na) and quality of models were validated using an independent prediction dataset (38 samples). Validation results showed that the standard models with laboratory scanned spectra provided poor to moderate accuracy for on-line prediction, and the hybrid-3 and real-time models provided the best prediction results, although hybrid-2 model with 50% on-line spectra provided equally good results for all properties except for pH and Na. These results suggest that either the real-time model with exclusively on-line spectra or the hybrid model with fusion up to 50% (except for pH and Na) and 75% on-line scanned spectra allows significant improvement of on-line prediction accuracy for secondary soil properties using vis–NIR spectroscopy.

On-Line Analysis Using Raman Spectroscopy for Process Control during the Manufacture of Titanium Dioxide

2001 ◽  
Vol 55 (9) ◽  
pp. 1138-1150 ◽  
Author(s):  
Ian M. Clegg ◽  
Neil J. Everall ◽  
Bert King ◽  
Hugh Melvin ◽  
Colin Norton
Keyword(s):  
Raman Spectroscopy ◽  
Titanium Dioxide ◽  
Process Control ◽  
On Line ◽  
Line Analysis
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