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Our full selection of recorded webinars are available on demand for any-time access to learn about a variety of molecular spectroscopy techniques and applications.
Intentional adulteration of pure edible oils by lower quality oils is an economically advantageous practice. These adulterated oils are a threat to product authenticity and, in some cases, a serious consumer health issue. Companies that utilize edible oils are taking a significant financial liability if they cannot positively authenticate the purity of oils that they are using in the manufacturing of food products. For successful authenticate testing, food companies need a fast and rugged analytical technique that can be used in a production plant environment. FT-NIR is an ideal analysis technique that meets food companies needs for analysis in the matter of seconds and ease of use - without sacrificing the sensitivity needed to discriminate between pure versus slightly adulterated oil samples.
Learn how near-infrared analysis can be used to:
Reducing costs and improving efficiency have always been a goal, but these needs are increasingly critical for pharmaceutical companies. Near‐infrared (NIR) spectroscopy is a non‐destructive analytical tool that provides solutions from drug development to the QA/QC lab, and in at‐line, on‐line, or continuous manufacturing processes. Its potential in the pharmaceutical manufacturing value chain is still expanding.
This webinar highlights NIR’s incredible capabilities across a variety of drug forms, in regulatory compliance, for GMP environments, and more.
Key Learning Objectives
Substantial testing is required to assure that chemical and structural integrity are preserved throughout the drug development process to maintain its functionality. Among the techniques used to study changes in chemical integrity are infrared and Raman spectroscopy. This webcast will discuss where efficiencies can be made in data collection, regulatory compliance, instrument qualification, method validation, and data integrity all along the development pipeline up to final quality control (QC) testing. Learn how to quickly identify changes in polymorphic structure, monitor API to excipient distribution, and troubleshoot out-of-specification (OOS) product lots, while preserving data integrity needed for audits.
Key Learning Objectives
For successful near-infrared (NIR) method development it is imperative that calibration models are properly optimized and validated using the appropriate tools and techniques. The model optimization process requires advanced knowledge of standard population structuring, application of spectral pre-treatments and diagnoses of calibration results. Learn how to use common chemometric functions and diagnostic tools to get the most out of your data and produce the most accurate results for your application.
Development of accurate and robust calibration methods is at the heart of any good near-Infrared (NIR) implementation. Deploying a successful method is a multi-step process revolving around design of method, data treatments and optimization thru duplication and diagnosis. Learn how to get started with NIR calibration method development thru best practices for generating standards, sampling, spectral collection, model development and validation.
Intentional adulteration of pure edible oils by lower quality oils is an economically advantageous practice. These adulterated oils are a threat to product authenticity and, in some cases, a serious consumer health issue. Companies that utilize edible oils are taking a significant financial liability if they cannot positively authenticate the purity of oils that they are using in the manufacturing of food products. For successful authenticate testing, food companies need a fast and rugged analytical technique that can be used in a production plant environment. FT-NIR is an ideal analysis technique that meets food companies needs for analysis in the matter of seconds and ease of use - without sacrificing the sensitivity needed to discriminate between pure versus slightly adulterated oil samples.
Learn how near-infrared analysis can be used to:
Reducing costs and improving efficiency have always been a goal, but these needs are increasingly critical for pharmaceutical companies. Near‐infrared (NIR) spectroscopy is a non‐destructive analytical tool that provides solutions from drug development to the QA/QC lab, and in at‐line, on‐line, or continuous manufacturing processes. Its potential in the pharmaceutical manufacturing value chain is still expanding.
This webinar highlights NIR’s incredible capabilities across a variety of drug forms, in regulatory compliance, for GMP environments, and more.
Key Learning Objectives
Substantial testing is required to assure that chemical and structural integrity are preserved throughout the drug development process to maintain its functionality. Among the techniques used to study changes in chemical integrity are infrared and Raman spectroscopy. This webcast will discuss where efficiencies can be made in data collection, regulatory compliance, instrument qualification, method validation, and data integrity all along the development pipeline up to final quality control (QC) testing. Learn how to quickly identify changes in polymorphic structure, monitor API to excipient distribution, and troubleshoot out-of-specification (OOS) product lots, while preserving data integrity needed for audits.
Key Learning Objectives
For successful near-infrared (NIR) method development it is imperative that calibration models are properly optimized and validated using the appropriate tools and techniques. The model optimization process requires advanced knowledge of standard population structuring, application of spectral pre-treatments and diagnoses of calibration results. Learn how to use common chemometric functions and diagnostic tools to get the most out of your data and produce the most accurate results for your application.
Development of accurate and robust calibration methods is at the heart of any good near-Infrared (NIR) implementation. Deploying a successful method is a multi-step process revolving around design of method, data treatments and optimization thru duplication and diagnosis. Learn how to get started with NIR calibration method development thru best practices for generating standards, sampling, spectral collection, model development and validation.
Access a targeted collection of application notes, case studies, videos, webinars and white papers covering a range of applications for Fourier transform infrared (FTIR) spectroscopy, near infrared spectroscopy, Raman spectroscopy, nuclear magnetic resonance, ultraviolet-visible (UV-Vis) spectrophotometry, X-ray fluorescence, and more.