Rapid classification of pharmaceutical ingredients with Raman spectroscopy using compressive detection strategy with PLS-DA multivariate filters

Journal of Pharmaceutical and Biomedical Analysis

Volumn 80, Issue , 2013, Pages 63-68

  Cebeci Maltaş, Derya ^a   Kwok, Kaho ^b   Wang, Ping ^a   Taylor, Lynne S ^b   Ben Amotz, Dor ^a  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Cialis ; Compressive detection; PLS DA; Process analytical technology (PAT); Raman spectroscopy; Rapid classification

Indexed keywords

ACTIVE PHARMACEUTICAL INGREDIENT; CELLULOSE; DODECYL SULFATE SODIUM; DRUG ADDITIVE; EXCIPIENT; HYDROXYPROPYLCELLULOSE; LACTOSE; MAGNESIUM STEARATE; MICROCRYSTALLINE CELLULOSE; TADALAFIL; TALC; TITANIUM DIOXIDE; UNCLASSIFIED DRUG;

ARTICLE; CLASSIFICATION; COMPRESSION INSTRUMENT; DRUG DETERMINATION; FILTER; LIQUID CRYSTAL SPATIAL LIGHT MODULATOR; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; RAMAN SPECTROMETRY;

CARBOLINES; DISCRIMINANT ANALYSIS; DRUG COMPOUNDING; EXCIPIENTS; FILTRATION; LACTOSE; LEAST-SQUARES ANALYSIS; LIGHT; LIQUID CRYSTALS; SPECTRUM ANALYSIS, RAMAN; TIME FACTORS;

EID: 84875611124     PISSN: 07317085     EISSN: 1873264X     Source Type: Journal    
DOI: 10.1016/j.jpba.2013.02.029     Document Type: Article

References (9)

1. US FDA, PAT-A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance, 2004.
2. Bakeev K.A. Process Analytical Technology 2005, Blackwell Publishing, Oxford. 1st ed.
3. Mccreery R.L. Raman Spectroscopy for Chemical Analysis 2000, John Wiley & Sons, New York. 1st ed.
4. Davis B.M., Hemphill A.J., Cebeci Maltas D., Zipper M.A., Wang P., Ben-Amotz D. Multivariate hyperspectral raman imaging using compressive detection. Anal. Chem. 2011, 83:5086-5092.
5. Blanco M., Romero M.A. Near-infrared libraries in the pharmaceutical industry: a solution for identity confirmation. Analyst 2001, 126:2212-2217.
6. Gemperline P.J., Webber L.D., Cox F.O. Raw materials testing using soft independent modeling of class analogy analysis of near-infrared reflectance spectra. Anal. Chem. 1989, 61:138-144.
7. Geladi P., Kowalski B.R. Partial least-squares regression: a tutorial. Anal. Chim. Acta 1986, 185:1-17.
8. Treado P.J., Morris M.D. A thousand points of light: the Hadamard transform in chemical analysis and instrumentation. Anal. Chem. 2008, 61:723A-734A.
9. Amigo J.M., Ravn C., Gallagher N., Bro R. A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging. Int. J. Pharm. 2009, 373:179-182.