Top articles include a new “GC Connections” article on maintenance practices for modern capillary gas chromatography (GC) systems, an interview on rapid per- and polyfluoralkyl substances (PFAS) ...
In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?
6don MSN
Microplastics and nanoplastics in urban air originate mainly from tire abrasion, research reveals
Although plastic particles in the air are increasingly coming into focus, knowledge about their distribution and effects is still limited. Chemical analyses from Leipzig now provide details from ...
Composition, interactions and resulting inhalation risk of micro- and nano-plastics in urban air. Commun Earth Environ 6, 985 (2025). DOI: 10.1038/s43247-025-02980-0 This research was funded by the ...
Explore SLAS Boston 2026 insights on connecting laboratory automation and data infrastructure in drug discovery workflows.
China controls roughly 70% of global rare earth processing and dominates the refining of nickel, graphite, and manganese that goes into every EV battery rolling off assembly lines in North America and ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Morning Overview on MSN
How scared should you really be about microplastics in your body?
Plastic particles smaller than a grain of sand have now been found in human lungs, blood, arterial plaque, and placentas, ...
Even though the DOJ Bulk Data Transfer Rule[1] does not contain a private right of action, plaintiffs continue to look for new ways to bring claims against companies for alleged violations of the Rule ...
Allied Market Research published a report, titled, "Fibrinogen Concentrate Market by Product Type (Human Fibrinogen ...
LaFleur Minerals Inc. (CSE: LFLR) (OTCQB: LFLRF) (FSE: 3WK0) ("LaFleur Minerals" or the "Company") is pleased to announce the results of its Preliminary Economic Assessment ("PEA") for the proposed ...
This work presents a machine-learning approach that optimizes the learning of atomic interactions across diverse materials. By integrating heterogeneous data, it delivers accurate and transferable ...
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