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© 2020 MJH Life Sciences and Spectroscopy Online. All rights reserved.
© 2020 MJH Life Sciences™ and Spectroscopy Online. All rights reserved.
September 01, 2020
Spreadsheets are often used to perform GMP-related calculations, but can lead to serious problems and unnecessary risk. We explain why the use of spreadsheets is heavily discouraged in a regulated laboratory environment.
April 01, 2020
When using infrared (IR) instruments in a regulated laboratory, it is essential to conduct meaningful performance qualification (PQ) tests to maintain compliance.
December 01, 2019
The Food and Drug Administration (FDA) has issued an updated version of its Compliance Policy Guide for Pre-Approval Inspections (PAI). This article will guide you on this policy’s impact on analytical procedures and data included within regulatory submissions.
November 01, 2019
Data integrity has been the subject of many “Focus on Quality” columns over the past few years (1–5). However, we have never mentioned, let alone discussed, data quality.
September 01, 2019
Analysis of FDA Form 483 observations and warning letters for infrared spectrometers reveals a range of data integrity problems and a lack of laboratory procedures for the technique. Is your laboratory in the same situation?
April 01, 2019
In the current data-integrity–centric world, is outsourcing your spectroscopy work a good idea? To answer this question, one must consider several factors.
December 01, 2018
Regulatory definitions can be confusing at all levels. In this article clear definitions of raw data are clarified and compared. A discussion of static and dynamic data is given along with a detailed summary of the impact of these terms on raw data.
November 01, 2018
The password paradox states that simple passwords are simple to remember but easy to break, but complex passwords that are difficult to hack are also difficult to remember. Is there a better way?
September 01, 2018
Does a one size fits all data life cycle meet laboratory requirements for data integrity? No! The reason is that there are many different types of analytical procedures and this requires a flexible analytical data life cycle.
April 01, 2018
We live in a new world where users must specify what they want their analytical instruments to do. This discussion will help you figure out how to make sure you get what you need.