Laboratory Equipment and Instruments

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PTSM: Pharmaceutical Technology Sourcing and Management

SPECTRO XEPOS spectrometers handle rapid screening elemental analysis and support product quality control at-line for the manufacture of pharmaceuticals.

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PTSM: Pharmaceutical Technology Sourcing and Management

Live Track focus tracking technology on the Renishaw inVia Qontor Raman microscope enables the analysis of samples with uneven, curved, or rough surfaces.

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PTSM: Pharmaceutical Technology Sourcing and Management

The Litesizer 500 from Anton Paar determines particle size, zeta potential, and molecular mass by using light-scattering technology.

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PTSM: Pharmaceutical Technology Sourcing and Management

Rigaku Analytical Devices’ Progeny 1064nm handheld Raman analyzer is compliant with the new calibration standards published by the European Pharmacopeia .

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PTSM: Pharmaceutical Technology Sourcing and Management

The ICPMS-2030 inductively coupled plasma mass spectrometer from Shimadzu Scientific Instruments is designed for efficient, sensitive trace element analysis.

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PTSM: Pharmaceutical Technology Sourcing and Management

The PPSQ-51A/53A protein sequencers from Shimadzu Scientific Instruments feature the company’s SPD-M30A photodiode array detector.

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PTSM: Pharmaceutical Technology Sourcing and Management

The Thermo Scientific iCAP RQ ICP-MS spectrometer can perform unattended sample analysis to maximize sample throughput and overall productivity.

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PTSM: Pharmaceutical Technology Sourcing and Management

The Thermo Scientific TruScan RM Analyzer features a chemometrics package that allows users to build customized models for both qualitative and quantitative sample predictions.

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The Spark 20M multimode microplate reader has the ability to read 6- to 1536-well microplates and includes a high-frequency xenon flash lamp that can be combined with detection modules.

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The Zeiss Smartproof 5 wide-field confocal microscope is designed for applications in quality assurance and quality control, production, and R&D laboratories.

There are many different approaches for assessing process parameter criticality, and assessing which process parameters have a significant impact on critical quality attributes (CQAs) is a particular challenge. Including an unimportant process parameter as a critical process parameter (CPP) in a control strategy can be detrimental. The authors present a statistical approach to determine when a statistically significant relationship between a process parameter and a CQA is large enough to make a practically meaningful impact (i.e., practical significance).