Analysis of Morphology and Chemical ID of Micro-Particles Using Particle Correlated Raman Spectroscopy

|   Event

In this webinar, the technique of particle correlated Raman spectroscopy (PCRS) will be presented, and will be illustrated by representative application examples from fields including forensics, pharmaceuticals/cosmetics, and microplastics. Included will be a discussion of handling and preparation of a variety of sample types including powders, tablets, and suspensions.

Veranstaltung

Beginn: 02/18/21

Ort: Online

Overview

Micro-particles are used extensively for a wide variety of applications including food and agriculture, pharmaceutical, and advanced materials manufacturing. While traditional particle size analyzers can provide information on particle size and shape distribution, chemical identification is not possible using techniques such as dynamic light scattering, for example. Raman microspectroscopy combined with automated particle analysis tools provides a complete picture of micro-particles, including both morphological and chemical characterization. In this webinar, the technique of particle correlated Raman spectroscopy (PCRS) will be presented, and will be illustrated by representative application examples from fields including forensics, pharmaceuticals/cosmetics, and microplastics. Included will be a discussion of handling and preparation of a variety of sample types including powders, tablets, and suspensions. 

Key Learning Objectives

  • Importance of particle analysis for a wide range of applications
  • Raman spectroscopy as a tool for chemical specificity in particle characterization
  • Automation of Raman spectroscopic measurements for high throughput particle analysis


Who Should Attend

  • Researchers in the field of pharmaceuticals, cosmetics, forensics, nanotoxicology, and microplastics
  • Researchers currently using particle analysis techniques including dynamic light scattering (DLS), dynamic image analysis (DIA), static laser light scattering (SLS), and sieve analysis
  • Researchers interested in automation of high throughput particle analysis including chemical ID

 

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