Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Transmission Raman spectroscopy is a potent new tool for content uniformity testing in pharmaceutical manufacturing enabling rapid bulk sampling of a material by non-destructive means. In this proof-of-concept study, we present, for the first time, comprehensive quantification of all the constituents in a set of tablets consisting of 5 components (3 APIs and 2 excipients) by this method. The nominal concentration of individual components ranged from 1 to 85% (w/w). Two multivariate partial least-squares approaches have been used to calibrate concentration models consisting of 40 handmade tablets covering 20 sample points. These models successfully predicted all the components in a set of 10 validation tablets covering 5 different sample points. A single model for all components (PLS2) and 5 individual models each optimised for one component (PLS1) performed similarity and have been used to demonstrate that specificity of prediction has been achieved through using a multifactor orthogonal DoE for sample preparation. The ability to determine multiple analyte concentrations in one single measurement further establishes this procedure and its benefits for assay and content uniformity testing.

More information Original publication

DOI

10.1016/j.jpba.2015.07.019

Type

Journal article

Publication Date

2015-11-01T00:00:00+00:00

Volume

115

Pages

277 - 282

Total pages

5

Addresses

C, o, b, a, l, t, , L, i, g, h, t, , S, y, s, t, e, m, s, , L, t, d, ,, , 1, 7, 4, , B, r, o, o, k, , D, r, i, v, e, ,, , M, i, l, t, o, n, , P, a, r, k, ,, , A, b, i, n, g, d, o, n, ,, , O, x, f, o, r, d, s, h, i, r, e, ,, , O, X, 1, 4, , 4, S, D, ,, , U, K, .

Keywords

Phenylephrine, Acetaminophen, Caffeine, Tablets, Excipients, Calibration, Spectrum Analysis, Raman, Multivariate Analysis, Least-Squares Analysis, Reproducibility of Results, Models, Theoretical