Real-time analyte monitoring of a fungal fermentation, at pilot scale, using in situ mid-infrared spectroscopy

2001 ◽  
Vol 24 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Pollard D. ◽  
Buccino R. ◽  
Connors N. ◽  
Kirschner T. ◽  
Olewinski R. ◽  
...  
2020 ◽  
Vol 5 (9) ◽  
pp. 1642-1646
Author(s):  
Elyse N. T. DiMaso ◽  
Robert W. Bondi ◽  
John Guo ◽  
Alexander G. O'Brien

In-line Fourier transform mid-infrared spectroscopy (FTIR) in combination with a moving window t-test method was used to determine the endpoint of a reaction with a highly inconsistent rate.


2020 ◽  
Vol 59 (34) ◽  
pp. 10801
Author(s):  
Jinghao Yang ◽  
Junchao Zhou ◽  
Pao Tai Lin

2012 ◽  
Vol 66 (5) ◽  
pp. 574-579 ◽  
Author(s):  
Ian M. Clegg ◽  
Adrian M. Daly ◽  
Craig Donnelly ◽  
Ruth Hardy ◽  
Denise Harris ◽  
...  

The use of in situ mid-infrared spectroscopy to support the development of a pharmaceutical manufacturing process is disclosed. Data on this two-stage telescoped reaction from several reaction scales (<50 mL to 1600 liters) and at multiple manufacturing locations is shown. In addition to providing data on both reactions in the telescope, the mid-IR data has been used to monitor an intermediate distillation operation and therefore it has been possible to profile the whole process. Data is also shown on aliquot addition during the first chemical transformation, which is used to check the instrumentation.


2020 ◽  
Vol 99 (1) ◽  
pp. 401-409
Author(s):  
Kaio C. S. Rodrigues ◽  
Ivan I. K. Veloso ◽  
Marcelo P. A. Ribeiro ◽  
Antonio J. G. Cruz ◽  
Alberto C. Badino

2000 ◽  
Vol 41 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Michael R. Dadd ◽  
David C.A. Sharp ◽  
Alan J. Pettman ◽  
Christopher J. Knowles

Author(s):  
David Conlon ◽  
J Christopher McWilliams ◽  
Robert Reamer ◽  
Bill Izzo ◽  
Paul Collins ◽  
...  

2008 ◽  
Vol 76 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Raphael Linker ◽  
Yael Etzion

Real-time information about milk composition would be very useful for managing the milking process. Mid-infrared spectroscopy, which relies on fundamental modes of molecular vibrations, is routinely used for off-line analysis of milk and the purpose of the present study was to investigate the potential of attenuated total reflectance mid-infrared spectroscopy for real-time analysis of milk in milking lines. The study was conducted with 189 samples from over 70 cows that were collected during an 18 months period. Principal component analysis, wavelets and neural networks were used to develop various models for predicting protein and fat concentration. Although reasonable protein models were obtained for some seasonal sub-datasets (determination errors <~0·15% protein), the models lacked robustness and it was not possible to develop a model suitable for all the data. Determination of fat concentration proved even more problematic and the determination errors remained unacceptably large regardless of the sub-dataset analyzed or of the spectral intervals used. These poor results can be explained by the limited penetration depth of the mid-infrared radiation that causes the spectra to be very sensitive to the presence of fat globules or fat biofilms in the boundary layer that forms at the interface between the milk and the crystal that serves both as radiation waveguide and sensing element. Since manipulations such as homogenisation are not permissible for in-line analysis, these results show that the potential of mid-infrared attenuated total reflectance spectroscopy for in-line milk analysis is indeed quite limited.


2020 ◽  
Vol 59 (41) ◽  
pp. 18425-18433
Author(s):  
Ivan I. K. Veloso ◽  
Kaio C. S. Rodrigues ◽  
Marcelo P. A. Ribeiro ◽  
Antonio J. G. Cruz ◽  
Alberto C. Badino

Sign in / Sign up

Export Citation Format

Share Document