Quality Assurance/Quality Control

Experts Susan J. Schniepp, distinguished fellow for Regulatory Compliance Associates, and Steven J. Lynn, executive vice-president, Pharmaceuticals for Regulatory Compliance Associates, discuss the verification of compendial methods.

Any improper validation of methods is likely to result in regulatory agency deficiencies that range in degree of severity.

Testing cleanroom garments while in use and during daily cleanroom operations is vital for contamination control.

The importance of getting buy-in from regulatory authorities early in the development process is critical in order to establish meaningful specifications.

Experts weigh in on the current state of computer validation and its role in the greater regulatory landscape.

A consensus-based approach to GDP lies at the heart of a new industry-wide program seeking to rationalize, standardize, and harmonize the adherence to pharma transportation norms and regulatory guidelines.

Auditors must have access to the batch records of the activities they are reviewing, says Siegfried Schmitt, vice president, Technical at Parexel.

Training is crucial for supporting GMP operations in commercial-scale bioprocessing.

Susan J. Schniepp, distinguished fellow at Regulatory Compliance Associates, details regulatory requirements for developing a quality manual.

As Europe moves closer to implementation of ISO IDMP standards, the bio/pharma industry is accelerating efforts to manage its data and documents more effectively.

The company is voluntarily recalling one batch of Semglee prefilled pens because of a potential missing label.

The company is voluntarily recalling one lot of Senna Syrup 8.8mg/5mL, unit-dose cups because of microbial contamination.

Particle analysis provides assurances of the quality and performance of the final dosage form in pharmaceutical development.

Sample preparation tends to be manually labor intensive, but automating this step helps streamline the glycosylation monitoring workflow.

Persistent bottlenecks in biocatalyst development can be alleviated through fully automated enzyme analysis.

Continued process verification for a cleaning validation program begins once the validation study is complete.

As regulators balance pandemic tasks and rethink procedures, quality at manufacturing facilities is still a priority.

Siegfried Schmitt, vice president Technical at Parexel, discusses the difficulty of operating non-GMP and GMP quality systems in the same facility.

The authors introduce the idea of asymmetrical tolerance intervals as an aid in fully assessing product performance relative to product or process requirements.

Particle analysis is a critical component of pharmaceutical development, providing assurances of the quality and performance of the final dosage form.

Susan J. Schniepp, distinguished fellow at Regulatory Compliance Associates, answers some commonly asked questions about the difference between the roles of quality assurance and quality control.

Different methods to calculate limits for impurities will give different answers. The prediction interval method may be ideal.

Jordi Serrat, Product & Technology Director, Azbil Telstar talks about the role of disruptive and digital technologies in aseptic processing.

Rafael Beaus, Global Consultancy Manager, Azbil Telstar, discusses Annex 1 and trends in aseptic production.

Luke Stockhausen, Lead Process Engineer, CRB, talks about technological advances, processing line changes, and new solutions to overcome challenges in aseptic processing.

Richard Denk, Senior Consultant Aseptic Processing and Containment, SKAN AG, discusses the evolution of aseptic processing with a particular focus on isolators.

Patrick Nieuwenhuizen, Senior Manager/Consultant, PharmaLex, discusses changes to regulatory requirements, quality risk management, audits, and operational considerations of aseptic processing.

Part two of this article series shows how traditional statistical process control rules can be relaxed or adjusted to allow charting and evaluation of real-life data of pharmaceutical processes with a reduced number of false alarms.

Automatic visual inspection machines and artificial intelligence highlight inspection deficits for parenteral containers and units.

Different methods give different answers when calculating limits for impurities. The prediction interval method may be the best option.