The application of multiple linear regression to the measurement of the median particle size of drugs and pharmaceutical excipients by near-infrared spectroscopy

The Analyst ◽  
1998 ◽  
Vol 123 (11) ◽  
pp. 2297-2302 ◽  
Author(s):  
Andrew J. O’Neil ◽  
Roger D. Jee ◽  
Anthony C. Moffat
2011 ◽  
Vol 480-481 ◽  
pp. 550-555
Author(s):  
Yao Xiang Li ◽  
Li Chun Jiang

The crystallinity of wood has an important effect on the physical, mechanical and chemical properties of cellulose fibers. Crystallinity of larch plantation wood was investigated with near infrared spectroscopy and multiple linear regression. Five typical wave lengths were selected to establish prediction model for wood crystallinity. Full-cross validation was applied to the model development. The model performance is satisfied with prediction correlation coefficient of 0.896 and bias of 0.0004. The results indicated that prediction of wood crystallinity with near infrared spectroscopy and multiple linear regression is feasible, which provides a fast and nondestructive method for wood crystallinity prediction.


1998 ◽  
Vol 35 (4) ◽  
pp. 133-134 ◽  
Author(s):  
Paul Frake ◽  
Christopher N. Luscombe ◽  
David R. Rudd ◽  
Janette Waterhouse ◽  
Paul Frake ◽  
...  

The Analyst ◽  
1998 ◽  
Vol 123 (10) ◽  
pp. 2043-2046 ◽  
Author(s):  
P. Frake ◽  
C. N. Luscombe ◽  
D. R. Rudd ◽  
I. Gill ◽  
J. Waterhouse ◽  
...  

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