Literature DB >> 10563053

A rapid quantitative assay of intact paracetamol tablets by reflectance near-infrared spectroscopy.

A D Trafford1, R D Jee, A C Moffat, P Graham.   

Abstract

Near-infrared (NIR) reflectance spectroscopy was used to determine rapidly and non-destructively the content of paracetamol in bulk batches of intact Sterwin 500 mg tablets by collecting NIR spectra in the range 1100-2500 nm and using a multiple linear regression calibration method. The developed NIR method gave results comparable to the British Pharmacopoeia 1993 UV assay procedure, the standard errors of calibration and prediction being 0.48% and 0.71% m/m, respectively. The method showed good repeatability, the standard deviation and coefficient of variation for six NIR assays on the same batch on the same day being 0.14 and 0.16% m/m, respectively, while measurements over six consecutive days gave 0.31 and 0.36% m/m, respectively. Applying the calibration to a parallel test set gave a mean bias of -0.22% and a mean accuracy of 0.45%. The developed method illustrates how the full potential of NIR can be utilised and how the ICH guidelines which recommend the validation of linearity, range, accuracy and precision for pharmaceutical registration purposes can be applied. Duplicate determinations on bulk batches could be performed in under 2 min, allowing the potential use of the method on-line for real time monitoring of a running production process.

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Year:  1999        PMID: 10563053     DOI: 10.1039/a806629i

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  6 in total

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2.  NIR spectroscopy applications in the development of a compacted multiparticulate system for modified release.

Authors:  Stuart L Cantor; Stephen W Hoag; Christopher D Ellison; Mansoor A Khan; Robbe C Lyon
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Journal:  AAPS PharmSciTech       Date:  2014-11-06       Impact factor: 3.246

5.  Near-infrared investigations of novel anti-HIV tenofovir liposomes.

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Review 6.  Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification.

Authors:  Eun Ji Kim; Ji Hyeon Kim; Min-Soo Kim; Seong Hoon Jeong; Du Hyung Choi
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  6 in total

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