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Liquid chromatography (LC) is a platform technology amenable to portable and “at-site” or deployable applications. This has awoken end-users to new possibilities and potential cost savings and process improvements.

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Novel nontargeted analysis applications in two-dimensional gas chromatography–mass spectrometry (GC×GC–MS) and GC–high‑resolution (HR)MS have enabled the discovery of new contaminants. Now, the next frontier is nontargeted analysis for the elucidation of the mechanisms of (bio)chemical reactions in complex samples, such as the biodegradation of organics in water and soils or the conversion of plastics into oils. GC has the potential to contribute greatly to the optimization of these processes and therefore make a real contribution to net zero and circular economy agendas.

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This paper proposes a new method of flash qualitative identification (FQI) to qualitatively identify a certain target component from a mixture within half a second by disusing the analytical column, which is a time-consuming unit in current chromatography instruments. First, a Noised Spectrum Identification (NSI) model was constructed for the data set generated directly by diode array detector (DAD) without the process in an analytical column. Then, a method called vector error algorithm (VEA) was proposed to generate an error according to the DAD data set for a mixture and a specific spectrum for the target component to be identified. A criterion based on the error generated by the VEA is used to give a judgement of whether the specific spectrum exists in the DAD data set. Several simulations demonstrate the high performance of the FQI method, and an experiment for three known materials was carried out to validate the effectiveness of this method. The results show that the NSI model concurs with the real experiment result; therefore, the error generated by the VEA was an effective criterion to identify a specific component qualitatively, and the FQI method could finish the identification task within half a second.

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In the present study, a gradient reversed-phase high-performance liquid chromatography (RP-HPLC) method has been designed and validated to quantify ornidazole (OZ) in the marketed formulation (oral gel) with the application of QbD.

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This GC–FID method enables accurate determination of cooling agents, which are flavor compounds commonly used in cigarette tipping paper.

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Employing ion mobility at atmospheric pressure without vacuum enables coupling to high-resolution mass analyzers. High performance ion mobility–orbital trap mass spectrometry (HPIM-OT-MS) is a useful alternative for separating isomers, such as isomeric metabolites seen in drug discovery.

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A supported liquid extraction (SLE) and fast gas chromatography–tandem mass spectroscopy (GC–MS/MS) method, used in multiple reaction monitoring (MRM) mode, was developed for the analysis of semivolatile organic compounds (SVOCs) in environmental samples, according to the updated EPA Methods 625.1 and 8270E. This method requires minimal sample handling and yields significant throughput and productivity gains in the laboratory.

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Biogen and Postnova present data on the analysis of adeno-associated viruses (AAV) using Asymmetrical Flow Field-Flow Fractionation coupled to Multi-Angle Light Scattering detection (AF4-MALS). AAV are promising gene therapy delivery vehicles, whose efficacy may be negatively affected by the presence of viral aggregates. Due to its gentle separation and broad applicable size range, AF4-MALS is able to characterize AAV and their aggregates with high resolution and precision, thereby overcoming the drawbacks that column-based chromatography techniques often face when dealing with samples larger than 50 nm in size.

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Wednesday, March 23rd, 2022 at 11am EST | 8am PST | 4pm GMT Thursday, March 24th, 2022 at 11am CST | 12pm JST | 3am GMT Charles Minard’s historic “six-dimensional,” 2D-graphic representation of Napoleon’s disastrous 1812 march into Russia began a history of engineers and scientists realizing the value of data visualization. Today we have Investigator, a highly advanced application for reducing complex high resolution mass spectrometry data. Results are then visualized in 2D or 3D space with a large number of data dimensions, thus simplifying interpretation and speeding problem resolution.

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A column with chemically modified column hardware showed improvements in analytical performance for siRNA compared to a conventional stainless-steel column.

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The guest authors summarize the history of this Japanese scientific instrument company and events in the development of its products.

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HS-GC analysis is presented as an excellent method for the analysis of high volatile components in e-liquids. For the analysis of semivolatile ingredients, an additional sample preparation step is proposed based on a LLE followed by a freeze-out of the matrix components.

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Brandy Young, PhD, an analytical chemist with more than 15 years of experience, entered the cannabis industry in response to a recognized need for laboratory testing, aligning her expertise with the emerging demand in New York's active medical and adult-use cannabis programs. Here, she shares some background information on her Eastern Analytical Symposium (EAS) talk, which delves into the characterization of tetrahydrocannabinol (THC) isomers in cannabis products.

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Improved analysis of pharmaceutical and natural medicine products requires advances in reversed-phase LC stationary phases. We examine two synthesized stationary phases with applicability in quality control and chiral separation for analysis of natural products.

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Ensuring complete overlapping (coelution) of analyte and internal standard peaks can be critical for eliminating matrix effects in LC–MS/MS analysis.

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Non-alcoholic beers are becoming more popular and need to reflect the sophisticated flavourings of beers that are brewed containing alcohol. Sophisticated analytical techniques can help to achieve this.

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Non-alcoholic beers are becoming more popular and need to reflect the sophisticated flavourings of beers that are brewed containing alcohol. Sophisticated analytical techniques can help to achieve this.

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Adhesives often contain toxic materials like residual monomers; here, we demonstrate quantitative analysis of residual monomers in adhesives using GC–MS.

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This article explores how automation can enhance laboratory productivity and reduces errors in peptide mapping.

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Sustainability concerns are renewing interest in SFC, often as a substitute for HPLC. With the broader application of SFC, we need a better understanding of selectivity in SFC, where stationary phase classification is not well established. This study assessed and measured the selectivity differences afforded by three prototype SFC phases.

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A recent trend in the design of LC instrumentation is the move towards miniaturized and portable systems.

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The analysis of contaminants found in environmental waters and originating from personal care products using metalorganic frameworks (MOFs) combined with liquid chromatography (LC) is described. This work expands the use of MOFs from gas chromatography to LC and also meets the requirements of green analytical chemistry.

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Online monitoring of odour and taste components that occur at parts-per-trillion (ppt) levels in industrial process waters requires specialized analytical hardware that is generally not compatible with the harsh environmental conditions in these typical industrial settings. An alternative instrumental method is proposed that uses dynamic extraction in combination with gas chromatography (GC) equipped with a simple flame ionization detector (FID) to achieve these extremely low detection limits.

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A recent trend in the design of LC instrumentation is the move towards miniaturized and portable systems.

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Flow-through immobilized-enzyme reactors (IMERs) can streamline protein digestion for bottom- and middle-up LC–MS characterization while providing high accuracy and reproducibility.

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Sample preparation and analysis of pharmaceuticals in wastewater present unique challenges. Here, we describe those challenges.

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An examination of how greening analytical methods is directly connected to greening the sample preparation step