Evidence map›Paper›PMID 40623034›Full record

ArticleThe journal of physical chemistry. B2025

Q-Band Double Quantum Coherence ESR for Sensitive Nitroxide-Based Distance Measurements.

Alysia Mandato, Nicholas A Moriglioni, Sunil Saxena

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Alysia MandatoDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Nicholas A MoriglioniDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Sunil SaxenaDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0001-9098-6114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in pulsed dipolar spectroscopy have driven the sensitivity of the technique to physiologically relevant concentrations and extended its applicability to more complex biological systems. In this work, we establish double quantum coherence (DQC) ESR at Q-band as a practical technique for distance measurements in doubly nitroxide-labeled proteins. We show that 8 ns π pulses provide efficient excitation of the double quantum transition at Q-band, though more accessible 12 and 16 ns pulses also yield strong signals. Additionally, we show that the field dependence of the DQC signal is sensitive to the relative orientation of the two g-tensor axes. With careful spectrometer tuning, signal-to-noise ratios greater than 100 were possible in just 11 min of acquisition for a dipolar evolution time of 1.5 μs with 50 μM protein samples. We also show the effects of varying levels of deuteration on the sensitivity of the DQC signal, which can further extend dipolar evolution times and the measurable distance range. The DQC data is in good agreement with theoretical expectations and displays negligible contributions of intermolecular interactions on the DQC background signal at protein concentrations up to 100 μM. Overall, Q-band DQC offers distinct advantages for dual nitroxide-labeled proteins, including deep dipolar modulations, minimal background decay at micromolar concentrations, and increased sensitivity with the incorporation of deuterium. These findings position Q-band nitroxide DQC as a broadly accessible technique for pulsed ESR distance measurements.

Identifiers

PMID40623034
PMCPMC12278208

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.