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Journal Highlight: Chemometrics-assisted chromatographic fingerprinting: An illicit methamphetamine case study

Date: Apr 10, 2017

Author: separationsNOW

A curve resolution approach for chromatogram fingerprinting of GC/MS data has been applied for the first time to identify the embedded impurities of a drug of abuse.

Read More thumbnail image: Journal Highlight Chemometrics-assisted chromatographic fingerprinting An illicit methamphetamine case study

New MOGO optimisation algorithm wins at Monte Carlo

Date: Apr 2, 2017

Author: Ryan De Vooght-Johnson

Optimisation of conflicting objectives, such as yield and purity, has long been a problem in process optimisation. Researchers from the Forschungszentrum Jülich in Germany have developed an improved optimisation algorithm, MOGO, which they applied to the simulated separation of a protein by ion-exchange chromatography.

Read More thumbnail image: New MOGO optimisation algorithm wins at Monte Carlo

Catching makers of crystal meth by chemometrics

Date: Mar 15, 2017

Author: Ryan De Vooght-Johnson

Identifying impurities in the illegal drug N-methylamphetamine, a.k.a. methamphetamine or crystal meth, can help law enforcement agencies detect the likely source and the synthetic route used. Scientists from the Chemistry and Chemical Engineering Research Centre of Iran used chemometric methods to detect trace impurities hidden under the large main peak in pure samples of seized methamphetamine.

Read More thumbnail image: Catching makers of crystal meth by chemometrics

Journal Highlight: Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization, and analysis

Date: Mar 13, 2017

Author: separationsNOW

State-of-the-art single cell proteomic tools have been reviewed with a particular focus on data acquisition and quantification, followed by an elaboration of statistical and computational approaches for dissecting the high-dimensional data.

Read More thumbnail image: Journal Highlight Single cell proteomics in biomedicine High-dimensional data acquisition visualization and analysis

Fab separations for Fab antibodies predicted by QSAR?

Date: Mar 1, 2017

Author: Ryan De Vooght-Johnson

Since an increasing array of separation methods are now used for proteins, interest is growing in using computational methods, such as quantitative structure–activity relationship (QSAR) calculations, to predict the likely response of proteins of interest to different systems, so that separations can be predicted. Researchers have used QSAR to predict the response of various antibody Fragment antigen-binding (Fab) fragments in different separation systems, with varying degrees of success.

Read More thumbnail image: Fab separations for Fab antibodies predicted by QSAR

Supercritical chromatography and chemometrics capture cannabis compounds

Date: Feb 15, 2017

Author: Ryan De Vooght-Johnson

Cannabis is a popular illegal drug, but is also increasingly used for medicinal purposes. A new, rapid UHPSFC method for determining the different compounds in cannabis has been developed by a team from the University of Mississippi, who went on to group different cannabis samples using chemometric methods.

Read More thumbnail image: Supercritical chromatography and chemometrics capture cannabis compounds

Journal of Separation Science Celebrates 40th Volume

Date: Feb 8, 2017

Author:

The Journal of Separation Science was born in 1978 with the name, Journal of High Resolution Chromatography, and this year celebrates its 40th birthday. To celebrate, we've created a virtual issue containing the journal's top 40 cited papers over the last four decades; and it's free for you to read for the whole of 2017.

Read More thumbnail image: Journal of Separation Science Celebrates 40th Volume

Journal Highlight: Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry and multivariate data analysis

Date: Feb 6, 2017

Author: separationsNOW

The lipidomic compositions of human cell lines derived from normal and cancerous breast tissues, as well as tissues obtained before and after breast cancer surgery, have been compared by multivariate data analysis methods.

Read More thumbnail image: Journal Highlight Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatographyelectrospray ionization mass spectrometry and multivariate data analysis

Multi-component medicine made manageable by mass spectrometry

Date: Feb 1, 2017

Author: Ryan De Vooght-Johnson

The Chinese medicine Deng-Zhan-Sheng-Mai, used to treat stroke patients, consists of a mixture of four different herbal extracts, each containing a wide variety of compounds, thus giving a huge headache to analysts. Researchers from Fudan University, Shanghai and China Pharmaceutical University, Nanjing used LC-MS, along with chemometric methods, such as hierarchical cluster analysis, principal component analysis and bivariate correlation analysis, to bring order to the chaos, recommending that nine...

Read More thumbnail image: Multi-component medicine made manageable by mass spectrometry

Biomarkers of breast cancer

Date: Jan 12, 2017

Author: Ryan De Vooght-Johnson

The success of cancer treatment hinges on the stage at which the disease is detected, making biomarkers that flag up early signs of the disease an important goal for cancer research. Now a group of scientists from the Czech Republic has found a new set of biomarkers for breast cancer based on the levels of lipids expressed by cancer cells.

Read More thumbnail image: Biomarkers of breast cancer
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