HPLC 2026 highlights AI, 2D-LC, new materials, and pharma separations.
|Articles|July 1, 2008
- LCGC North America-07-01-2008
- Volume 26
- Issue 7
The Pittsburgh Conference Launches Pittcon 2009 Website
The Pittsburgh Conference announced the launch of its 2009 website, www.pittcon.org, containing relevant information for conferees and exhibitors about Pittcon 2009, which will be in Chicago, Illinois, McCormick Place, March 8–13, 2009.
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The Pittsburgh Conference announced the launch of its 2009 website,
The 2009 Pittcon website will be integral to the organization's continuing plan of enhancing environmental awareness and going "green."
Articles in this issue
over 18 years ago
A Shock to the Systemover 18 years ago
LCGC Columnist Receives Medalover 18 years ago
Peak Shape Problemsover 18 years ago
Continuous Flow Analysis and Discrete Analyzersover 18 years ago
LCxLC: Comprehensive Two-Dimensional Liquid Chromatographyover 18 years ago
From Academician to Entrepreneur — A Convoluted Trekover 18 years ago
RVM Scientific Acquired by AgilentAdvertisement
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Kinjal Bhatt and Ina Varfaj redefine career success around energizing work and personal balance, moving past publications and promotions.
Piotr Alvarez explains how his lab uses 2D-LC to enable MS compatibility with legacy methods and to confirm peak purity through orthogonal separation.
Florian Geistmann succeeded retiring Jürgen Semmler as Shimadzu Europa managing director on October 1.
Liquid chromatography-mass spectrometry (LC-MS) profiling reveals chemical diversity across grapevine varieties.
Liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) link perinatal factors to infant urinary metabolite changes.
This LCGC Blog installment explains how NIST categorizes and certifies reference materials, and why they underpin reliable results in science and medicine.
Comparing manual and automated N-glycan profiling of a trastuzumab biosimilar, researchers found that both workflows detected the same glycan types, but automation gave more reproducible results (mean CV of about 5.7% vs. 7.95%), making it better suited to high-throughput analysis in biopharmaceutical development.
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