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Raman spectroscopy is an established spectroscopic technique for measuring the chemical identity and structure of materials across many industries, including pharmaceuticals, fine chemicals, minerals and foods.
Raman spectroscopy has a very high chemical specificity and is routinely used to differentiate between different polymorphs of the same compound for example. When used in conjunction with static image analysis it provides a powerful means of measuring the chemical identity of individually dispersed particles within a sample.
Applications of this technique include:
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The development of oral solid dose (OSD) products requires a knowledge of how the physical properties of the excipients and active pharmaceutical ingredients (APIs) present within a formulation affect product performance. This requires access to rele...
In its report ‘Critical Path Opportunities for Generic Drugs’, the FDA emphasizes the need for advances in the field of analytical sciences in order to accelerate the development of generic products. Here, Paul Kippax highlights techniques that are e...
This application note details how Morphologically Directed Raman Spectroscopy (MDRS) using the Morphologi G3-ID can be applied to the forensic identification of commercially sourced white powders commonly used in hoax bio-terrorism powder attacks. It...
Oral Solid Dosage (OSD) forms still represent a significant share of the pharmaceutical market. As a result, they remain an important target for generic product developers. In this white paper we introduce a workflow for OSD product deformulation and...
Deformulation of oral solid dose (OSD) products requires generic companies to determine the physical and chemical properties of the excipients and active pharmaceutical ingredients (APIs) present within the reference listed drug product (...
(Webinar - Recorded)
Stability and particle size define material and biomaterial performance and the Zetasizer Nano is perfectly placed to deliver this information within our multi-user environment. The instrument is robust, easy to use and data acquisition is straightforward. It is as close to ‘student proof’ as it is possible to be!
Dr Krystelle Mafina,
Queen Mary University,
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