Phil Borman

Phil Borman, is a manager in Analytical Sciences, chemical development, at GlaxoSmithKline in the UK.

A novel tool enables users to generate reliable data for yields in solution and for assays of isolated solids using high?performance liquid chromatography without having to prepare standards.

The authors discuss the approach taken to develop a new calibration approach, its associated protocols, and how it can be used to calculate data.

The authors describe a novel approach for assessing method robustness. This article contains online-bonus material and was copublished with Pharmaceutical Technology Europe.

A novel approach for assessing method robustness is described that uses risk-based assessment tools to identify, score, prioritise and then group method parameters.

The authors present two concepts to improve robustness and facilitate continuous improvement in analytical methods. This article contain bonus online material.

The authors present two concepts to improve robustness and facilitate continuous improvement in analytical methods.

This downloadable Failure Mode Effect Analysis tool accompanies the article titled 'The Application of Quality by Design to Analytical Methods' by Phil Borman et. al.

To monitor and control processes or products, analytical methodology must be fit for purpose. An approach to apply quality by design principles to the design and evaluation of analytical methods has therefore been developed to meet these needs.

This article features a downloadable template on which to conduct a failure mode effect analysis (FMEA).