Join us to celebrate the achievements of the 60 impactful analytical scientists featured in the 2024 Power List.
07/14/2016 | Joanna Cummings
A Chinese research group have discovered potentially dangerous levels of lead in lipsticks
06/16/2016 | Rich Whitworth
The world is in serious trouble when “Photoshop” is added as a major skill on the curricula vitae of scientists.
04/19/2016 | Jonathan Sweedler
What is the chemical nature of thought? What is memory? Why, over 2000 years since Aristotle first asked such questions, are we still searching?
04/18/2016 | Frank Bright
Sitting Down With... Frank Bright, Henry M. Woodburn Chair and SUNY Distinguished Professor, Department of Chemistry, University at Buffalo, New York.
03/15/2016 | Glen Jackson, Christopher Palenik
Don your purple nitrile gloves and grab a swab or two, as we delve into the realities of crime scene investigation.
02/18/2016 | Sponsored by Malvern Panalytical
Triple detection GPC/SEC combines measurements from multiple detectors to offer not only increased amounts of data, but also increased amounts of information, which is made available by the combination of different detectors (and unobtainable using individual detectors separately). The theory of triple detection GPC/SEC is described here.
02/03/2016 | Sergei Kazarian
The analytical world in general has yet to appreciate the power of FTIR spectroscopic imaging for process analysis. Here’s why it should be in your toolkit.
10/20/2015 | Olaf Hollricher
Equipping scanning electron microscopes with Raman imaging to create a 2014 Innovation Award-winning universal microscopy solution.
10/15/2015
This four-part series examines common issues and questions surrounding the principles, measurements and analysis of DLS data and discusses how to minimize the time required for and increase the accuracy of acquiring and interpreting DLS data during the biotherapeutic development process. In Part Four, we address frequently asked questions related to the application of DLS to the characterization of protein therapeutic formulations.
This four-part series examines common issues and questions surrounding the principles, measurements and analysis of DLS data and discusses how to minimize the time required for and increase the accuracy of acquiring and interpreting DLS data during the biotherapeutic development process. In Part Three, we cover the basic types of DLS deconvolution algorithms used to extract the intensity weighted particle size distribution from the measured correlogram.
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Ancient Bubblegum
Pushing the Boundaries of Bioprocessing
Work Hard, Network Harder