Evaluation of a handheld near-infrared spectrophotometer for quantitative determination of two APIs in a solid pharmaceutical preparation

2019 ◽  
Vol 11 (3) ◽  
pp. 327-335 ◽  
Author(s):  
J. Puig-Bertotto ◽  
J. Coello ◽  
S. Maspoch
Keyword(s):  
Quantitative Determination ◽  
Near Infrared ◽  
Pharmaceutical Preparation ◽  
Infrared Spectrophotometer

The aim of this study is to evaluate the performance of a handheld NIR spectrophotometer for the quantitative determination of two APIs in a solid pharmaceutical preparation (tablet).

Influence of data pre-processing on the quantitative determination of the ash content and lipids in roasted coffee by near infrared spectroscopy

2004 ◽  
Vol 509 (2) ◽  
pp. 217-227 ◽  
Author(s):  
Consuelo Pizarro ◽  
Isabel Esteban-Dı́ez ◽  
Antonio-José Nistal ◽  
José-Marı́a González-Sáiz
Keyword(s):  
Infrared Spectroscopy ◽  
Quantitative Determination ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Ash Content ◽  
Roasted Coffee

Effect of Data Preprocessing Methods in Near-Infrared Diffuse Reflectance Spectroscopy for the Determination of the Active Compound in a Pharmaceutical Preparation

1997 ◽  
Vol 51 (2) ◽  
pp. 240-246 ◽  
Author(s):  
M. Blanco ◽  
J. Coello ◽  
H. Iturriaga ◽  
S. Maspoch ◽  
C. de la Pezuela
Keyword(s):  
Active Compound ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Pharmaceutical Preparation ◽  
Data Preprocessing ◽  
Reflectance Spectroscopy ◽  
Relative Standard ◽  
Induced Changes

Near-infrared diffuse reflectance spectroscopy (NIRS) with a fiber-optic probe was used for the determination of the active compound in a commercial pharmaceutical preparation. In order to reduce the strong scatter in the spectra and prevent scatter-induced changes in measurements from prevailing over concentration-induced changes, several data preprocessing methods were tested: normalization, derivatives, multiplicative scatter correction, standard normal variate, and detrending. The effectiveness for reducing the scattering of each data preprocessing was assessed, and the best results were obtained with the use of the second derivative. The effect of the treatments on the quantitation of the active compound by partial least-squares regression (PLSR) was studied, similar results being obtained in all cases, with a relative standard error of prediction lower than 1.55%.

scholarly journals Non-Destructive Determination of Quality Traits of Cashew Apples (Anacardium Occidentale, L.) Using a Portable near Infrared Spectrophotometer

2016 ◽  
Vol 24 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Lívia Paulia Dias Ribeiro ◽  
Ana Priscila Monteiro da Silva ◽  
Aliny Alencar de Lima ◽  
Ebenézer de Oliveira Silva ◽  
Åsmund Rinnan ◽  
...  
Keyword(s):  
Near Infrared ◽  
Anacardium Occidentale ◽  
Quality Traits ◽  
Infrared Spectrophotometer ◽  
Non Destructive
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