Liquid chromatography and gas chromatography coupled with mass spectrometry (LC/MS, GC/MS) are two major analytical techniques for identifying compounds in complex mixtures. This symposium provides a forum for experts from industry, academia and government agencies to share their novel experimental methods, creative data analysis techniques including mass spectral library searching and software development, and the applications of these techniques, with special emphasis on the use of LC/MS/MS in metabolomics, proteomics, lipidomics, forensics, pharmaceutical and environmental studies.
<h3>Abstract</h3>
For the last 20 years, Eastman has routinely employed the NIST search for the identification of unknowns. Initially, we primarily utilized EI searches, but in recent years, the increase in the availability and quality of tandem libraries plus associated software has greatly enhanced LC-MS library search results. More than 50 instruments and associated users are networked at Eastman world-wide. Our corporate library of &gt;55K entries in NIST format is automatically updated and distributed nightly.
The 2020 edition of the NIST library utilized with the NIST MS 2.4 search software offers many major enhancements. NIST for the last six years has had an ambitious program to acquire and analyze targeted chemicals (&gt;50,000). In addition, the novel <a href="https://gcms.labrulez.com/article/1128">hybrid GCMS EI and MSMS search</a> and <a href="https://lcms.labrulez.com/article/1110">LC/MS/MS Hybrid Search</a> expands the scope of all EI and tandem libraries.
PDF Presentation <a href="https://gcms.labrulez.com/paper/13187">for download</a>.
<h3>Detailed lectures from the series using the new version of NIST in GCMS and LCMSMS:</h3>
<ul>
<li><a href="https://gcms.labrulez.com/articles?search=nist&amp;tags=34">James Little - Wiley GCMS Seminar</a> at LabRulezGCMS
</li>
<li><a href="https://lcms.labrulez.com/articles?search=nist&amp;tags=34">James Little - LC/MS Unknown Identifications Using MSMS Libraries Seminar</a> at LabRulezLCMS
</li>
</ul>

Identification of Unknowns by GC-MS and LC-MS Using NIST Search with Commercial and User Libraries

<ul>
<li>🎤 Presenter: Tijmen Bos¹, Jim Boelrijk², Stef Molenaar², Dwight Stoll³, Bob Pirok²´³ (¹Vrije Universiteit Amsterdam, Amsterdam, Netherlands. ²University of Amsterdam, Amsterdam, Netherlands. ³Gustavus Adolphus College, Saint Peter, USA)</li>
</ul>
<blockquote>
💡 Book in your calendar: <a href="https://gcms.labrulez.com/events/436">15th Multidimensional Chromatography Workshop (MDCW) January 2024</a>
</blockquote>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/15th_Multidimensional_Chromatography_MDC_Workshop_Main_Banner_45f9ba053d/15th-Multidimensional-Chromatography-(MDC)-Workshop-Main-Banner.jpg" alt="15th Multidimensional Chromatography (MDC) Workshop 2024"/>
<h3>Abstract</h3>
One and <a href="https://lcms.labrulez.com/library?instrumentationItems=39">two-dimensional liquid chromatography</a> (LC) technology is making remarkable advancements, however the number of potential users remains lagging behind for 2D separations. A prime obstacle for large-scale usage is the considerable investment needed for method development and data processing. Automation in any step of the method development reduces the required investment.
Recently a comprehensive, modular, closed-loop and interpretive algorithm for automated LC method development for complex samples of unknown composition was developed. The idea of these computer platforms is that they can directly and iteratively program the LC with new method parameters obtained from previous raw experimental data until convergence of a specified objective function was reached. Using peak tracking, multi-start regression, retention modelling and Bayesian optimization, such algorithms are capable to automate the selection of several method parameters.
This presentation will discuss the current challenges to scale this automated method development technology to heart-cut and comprehensive 2D-LC separations.

Unsupervised optimization of heart-cut and comprehensive 2D-LC separations (Bob Pirok, MDCW 2023)

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The Multidimensional Chromatography (MDC) Workshop draws experts in this exciting field to share and discuss their research.

The Multidimensional Chromatography Workshop

My main interest is the identification of organic compounds by mass spectrometry in organic mixtures.

James Little/Mass Spec Interpretation Services

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