UV-Vis Spectroscopy: Export Your Measurement Out of the Instrument
Webinar Date/Time: Thursday, September 12th, 2024 English Session: 10:00 AM BST | 11:00 AM CEST French Session: 10:00 AM BST | 11:00 AM CEST
Learn how to leverage the capabilities of optical fibers integrated with UV-Vis spectrometers, as well as how the individual components of a fiber optic system influence overall performance. Additionally, learn about application examples that illustrate the practical benefits of these technologies.
Register Free: https://www.spectroscopyonline.com/spec_w/export-your-measurement
Event Overview:
In this webinar in partnership with Hellma, attendees will learn how optical fibers integrated with UV-Vis spectrometers function and how the capabilities of such systems can be leveraged. Experts and participants will discuss how the individual components of a fiber optic system influence overall performance. Additionally, application examples to illustrate the practical benefits of these technologies will be provided.
Key Learning Objectives:
- Understand the benefits of fiber optics
- Gain technical insights into fiber optic technology
- Explore practical application examples
Who Should Attend:
- Academia: Research scientists, students, teachers
- Industry: Laboratory managers, laboratory technicians
Speakers:
Marcus Schulz, PhD
Application Engineer
Agilent Technologie
Marcus Schulz, PhD, received his PhD in chemistry from the University of Jena and worked on structure investigation using solid state NMR. As an application engineer, he is responsible for performing instrument demonstrations and sample measurements in the field of molecular spectroscopy, with a focus on UV-Vis/NIR, as well as on fluorescence spectroscopy. During his years of work, he gained experience in the different application areas of molecular spectroscopy.
Caroline Perier
Molecular Spectroscopy Product Specialist
Agilent Technologies
Caroline Perier has been a molecular spectroscopy specialist for 25 years, covering France, Benelux, and French-speaking Switzerland.
Oliver Mandal, PhD
Product Manager Sample Interfaces
Hellma GmbH & Co. KG
Oliver Mandal, PhD, obtained his PhD in chemistry working on NIR and Raman spectrosopy. He then focused on PAT in the pharmaceutical and chemical industry. Working as a marketing and product manager, he gained experience in a broad range of laboratory and online applications in the fields of food, feed, pharma, chemicals, and more. Currently, Mandal is working as product manager for spectroscopic interfaces and project manager for spectroscopic solutions.
Sylvain Joigneau
Technical Sales Engineer
Hellma France
With over 20 years experience in molecular spectroscopy, Sylvain Joigneau has built up his technical and commercial expertise in a wide range of fields in French industry, including food, agriculture, chemicals, pharmaceuticals, energy, and research. Sylvain is working as technical sales engineer for the global Hellma portfolio and focuses his effort in process-analytical technology.
Register Free: https://www.spectroscopyonline.com/spec_w/export-your-measurement
Next-Generation Infrared Sensors: Innovations in Semiconductor Materials and Applications
February 19th 2025A recent study provides an in-depth overview of the latest advancements in infrared (IR) semiconductor sensor technology, highlighting new materials, enhanced detection capabilities, and expanding applications across industrial, medical, security, and environmental fields. The research explores how quantum dots, graphene, and novel nanomaterials are revolutionizing IR detection, paving the way for more efficient and versatile sensor systems.
FT-IR Microscopy, Part 2: Mid-IR Sampling with DRIFTS, IRRAS, and ATR
February 14th 2025Fourier transform infrared (FT-IR) microscopy using reflection methods (diffuse reflection, reflection/reflection-absorption, or attenuated total reflectance) typically requires less sample preparation than transmission. However, optimal results will depend upon the sample and, in particular, the sample surface.
Geographical Traceability of Millet by Mid-Infrared Spectroscopy and Feature Extraction
February 13th 2025The study developed an effective mid-infrared spectroscopic identification model, combining principal component analysis (PCA) and support vector machine (SVM), to accurately determine the geographical origin of five types of millet with a recognition accuracy of up to 99.2% for the training set and 98.3% for the prediction set.
