Evidence map›Paper›PMID 42328708›Full record

ArticleProteomics2026

Optimized Sample Handling Minimizes Peptide Adsorption to Plastics to Enable High Sensitivity Evosep Based Chemical Proteomics.

Amrita Date, Anne Schuhmacher, Jianan Lu, Daria Berezina, Edward William Tate, Anna Barnard, Jack William Houghton

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Amrita DateImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Anne SchuhmacherImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Jianan LuImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Daria BerezinaImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Edward William TateImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Anna BarnardImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.
Jack William HoughtonImperial College London, Department of Chemistry, Molecular Sciences Research Hub, London, UK.

Funding

Cancer Reserach UK with support from the Engineering and Physical Sciences Research Council C29637/A20183Cancer Reserach UK with support from the Engineering and Physical Sciences Research Council C29637/A21451Cancer Reserach UK with support from the Engineering and Physical Sciences Research Council DRCNPG-Nov21∖100001Engineering and Physical Sciences Research Council EP/V009540/1Wellcome TrustWellcome Trust and the Royal Society 213435/Z/18/Z
6 · The paper itself

Abstract

Chemical proteomics approaches often yield low peptide recovery because they aim to enrich low-abundance proteins. Poor sample handling further reduces recovery through peptide adsorption to plastic surfaces and losses due to vacuum evaporation. We systematically mapped these losses across buffers, volumes, plastics and pH, then developed an Evotip-compatible handling protocol that minimizes adsorption and removes the need for vacuum evaporation. Losses to plastic adsorption and vacuum evaporation were most apparent at low inputs (< 200 ng) and with larger volumes (> 20 µL) but were also dependent on acidification as well as the buffer and plastic used. The optimized workflow: direct acidification of peptides, frozen storage if needed, and direct loading onto Evotips, resulted in up to ∼90-fold gains versus workflows incorporating vacuum concentration steps, a common practice in proteomics sample preparation, when peptide input was limited to 10 ng. This optimized sample handling method enables high-throughput chemical proteomics by reducing manual handling steps and enables the characterization of low abundance proteins previously lost during sample preparation.

Indexed as

PeptidesPlasticsProteomicsAdsorptionHydrogen-Ion ConcentrationPeptidesPlastics

Identifiers

PMID42328708
PMCPMC13615481

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.