Evidence map›Paper›PMID 42472628›Full record

ArticleJournal of mass spectrometry : JMS2026

Zero-Potential No-Discharge APCI Combined With pH and Colorimetric Measurements Reveals a Protein-Dependent Change in Albumin Proton Affinity Under Quantum-Dot Patch Exposure.

Mauro Libertucci, Dario Maximilian Spera, Germano Orrù

Abstract read
In one paragraph

Article in Journal of mass spectrometry : JMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mauro LibertucciSmiLife S.r.l., Tivoli, Italy.ORCID https://orcid.org/0000-0002-0550-3788
Dario Maximilian SperaH.I.T. S.r.l., Rome, Italy.ORCID https://orcid.org/0009-0007-2154-4807
Germano OrrùSurgical Sciences departments, University of Cagliari, Cagliari, Italy.ORCID https://orcid.org/0000-0003-1032-4431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interaction between solvent, solute and physical phenomena (e.g., photon-emitting biomolecules) constitute one of the most fundamental, yet challenging, frontiers in modern biophysics and analytical chemistry. However, standard mass spectrometry instrumentation is often insufficient to yield useful data in this domain due to the solvent molecule bind alteration induced by high electric field presents in the usually employed ionization sources (e.g., Electrospray and Atmospheric Pressure Chemical Ionization). The challenge is to transport analyte ions from the condensed liquid phase into the high-vacuum gas phase of the mass analyzer with minimal voltages-induced loss of supramolecular structure or structural scrambling while preserving the solvent environment structure. In this work, we employed no-discharge ND-APCI that has been rigorously validated in regulatory environments operating in no voltage ionization conditions to investigate the interaction of Albumin and water molecule environment under the irradiation of photon emitted by means of quantum dots technology at different simultaneous wave lights (800 nm, 525 nm, 445 nm). The obtained results, in terms of albumin-solvent (water) interaction, are consistent with a protein-dependent change in the proton affinity of albumin and are corroborated by complementary pH and colorimetric (Coomassie) measurements; their possible mechanistic origin is discussed.

Indexed as

ColorimetryMass SpectrometryQuantum DotsSerum Albumin, BovineAnimalsCattleHydrogen-Ion ConcentrationProtonsSolventsWaterProtonsSerum Albumin, BovineSolventsWateralbuminmass spectrometryND‐APCIQDsquantum dots

Identifiers

PMID42472628
PMCPMC13381078

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.