Self-Modeling Curve Resolution Recovery of Temporal Metabolite Signal Modulation in NMR Spectroscopic Data Sets: Application to a Life-Long Caloric Restriction Study in Dogs

2008 ◽  
Vol 80 (13) ◽  
pp. 4876-4885 ◽  
Author(s):  
Selena E. Richards ◽  
Yulan Wang ◽  
Dennis Lawler ◽  
Sunil Kochhar ◽  
Elaine Holmes ◽  
...  
Keyword(s):  
Caloric Restriction ◽  
Spectroscopic Data ◽  
Data Sets ◽  
Signal Modulation ◽  
Resolution Recovery ◽  
Curve Resolution

Use of the Orthogonal Projection Approach (OPA) to Monitor Batch Processes

2003 ◽  
Vol 57 (1) ◽  
pp. 80-87 ◽  
Author(s):  
S. Gourvénec ◽  
C. Lamotte ◽  
P. Pestiaux ◽  
D. L. Massart
Keyword(s):  
Orthogonal Projection ◽  
Spectroscopic Data ◽  
Batch Processes ◽  
Multivariate Curve Resolution ◽  
Concentration Profiles ◽  
Curve Resolution ◽  
On Line ◽  
Real Concentration ◽  
Projection Approach

The orthogonal projection approach (OPA) and multivariate curve resolution (MCR) are presented as a way to monitor batch processes using spectroscopic data. Curve resolution allows one to look within a batch and predict on-line real concentration profiles of the different species appearing during reactions. Taking into account the variations of the process by using an augmented matrix of complete batches, the procedure explained here calculates some prediction coefficients that can afterwards be applied for a new batch.

Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection

2010 ◽  
Vol 31 (15) ◽  
pp. 4199-4216 ◽  
Author(s):  
Elfatih M. Abdel-Rahman ◽  
Fethi B. Ahmed ◽  
Maurits van den Berg ◽  
Mike J. Way
Keyword(s):  
Damage Detection ◽  
Spectroscopic Data ◽  
Data Sets
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