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OpenSampling

The Library

Papers on microsampling and monitoring, each with a finding paraphrased to our standard and labelled in one vocabulary. With a free account, every entry links to a legitimate copy; nothing is copied from an abstract.

Papers 1–5 of 126 labelled “Metabolome”, newest first.

  1. 2026

    Volumetric absorptive microsampling for profiling of signaling lipids: a comparative analysis with whole blood and dried blood spots

    Volumetric absorptive microsampling showed better precision than dried blood spots and a metabolic profile closer to whole blood,

    Thangavelu et al., Analytical and bioanalytical chemistry

  2. 2026

    Nanostructured zinc-coordination supraparticles on cellulose fibers: A 3D-Printed μ-FAD integrated smartphone platform for multiplexed salivary metabolic monitoring

    This study validated a low-cost 3D-printed smartphone attachment and paper sensor for measuring glucose, uric acid and cholesterol in saliva, demonstrating high correlation with standard ELISA results in a small clinical cohort.

    Yang et al., Biosensors & bioelectronics (paywalled)

  3. 2026

    Impact of Selected Pre-Analytical and Analytical Factors on Untargeted Salivary Metabolomics

    Using a synthetic swab for saliva collection gave results closest to no swab for both resting and stimulated samples, indicating minimal pre-analytical interference.

    Michorowska et al., International journal of molecular sciences

  4. 2026

    RPLC- and HILIC-based non-targeted metabolomics workflow for blood microsamples

    The authors developed and optimised a dual LC-MS workflow for non-targeted metabolomics from blood microsamples, comprising a 15-minute HILIC-MS method for polar metabolites and an RPLC-MS method for mid- to non-polar compounds.

    Couacault & Witting, Metabolomics

  5. 2026

    An LC-MS untargeted metabolomic comparison between three blood microsampling devices, whole blood, and plasma

    Untargeted metabolomic profiles from three blood microsampling devices aligned more closely with whole blood than with plasma, and all devices distinguished sex based on amino acids, lipids, and acylcarnitines.

    Avella et al., Metabolomics

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