|Articles|February 2, 2023

Pharmaceutical Technology

  • Pharmaceutical Technology, February 2023
  • Volume 47
  • Issue 2
  • Pages: 12

Biologics-Specific qPCR Workflows

Thermo Fisher Scientific’s QualTrak is tailored for biologics development.

Thermo Fisher Scientific’s QualTrak is a comprehensive suite of quantitative polymerase chain reaction (qPCR) tools that includes various Applied Biosystems solutions. The product is tailored for biologics development, including monoclonal antibodies, cell and gene therapies, and vaccines.

Among the solutions in QualTrak are the QuantStudio 6 and 7 Pro-Real Time PCR Systems, as well as the TaqMan and TaqPath master mixes and assays. The TaqPath BactoPure master mix is designed to detect as low as one copy of DNA per microliter from bacterial, viral, fungal, and mammalian sources to ensure contamination-free drug product and accurate titers.

QualTrak comes with readily available compliance documentation to reduce the time needed to comply with internal quality systems and regulatory requirements. To support post-discovery steps, such as manufacturing quality control and biodistribution, all master mixes and assays are manufactured at an ISO 13485-certified, FDA registered facility that uses current good manufacturing practices.

Thermo Fisher Scientific


Related to this article

AAPS PharmSci 360 2026: Spray Drying and ASD
Nitin Kumar Swarnakar, PhD, global application lab manager at BASF, talks about spray drying for drying amorphous solid dispersions and Raman spectroscopy’s role as a quantitative analytical tool.
AAPS PharmSci 360 2026: High-Loaded ASD
Nitin Kumar Swarnakar, PhD, global application lab manager at BASF in Tarrytown, spoke with PharmTech at AAPS PharmSci 360 about formulation and characterization challenges for amorphous solid dispersions.
AAPS PharmSci 360 2026: Roller-Compacted Formulations
Shubhajit Paul, a senior research fellow in Boehringer Ingelheim’s Department of Material Analytical Sciences, spoke with PharmTech at AAPS PharmSci 360 to explain how tabletability prediction can be improved for roller-compacted formulations.