Evidence map›Paper›PMID 33259186›Full record

ArticleAnalytical chemistry2020

Nanoscale Infrared Spectroscopy and Chemometrics Enable Detection of Intracellular Protein Distribution.

A Catarina V D Dos Santos, Rosa Heydenreich, Christian Derntl, Astrid R Mach-Aigner, Robert L Mach, Georg Ramer, Bernhard Lendl

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. An analytical model of label-free nanoscale chemical imaging reveals avenues toward improved spatial resolution and sensitivity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. RSC advances · 2024
    Article
  6. Review
  7. Review
  8. Nanopore Technology for the Application of Protein Detection.Nanomaterials (Basel, Switzerland) · 2021
    Review
  9. Article
  10. 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 at 1 institution in 1 country.

A Catarina V D Dos SantosInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.ORCID 0000-0001-6342-2823
Rosa HeydenreichInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna 1060, Austria.
Christian DerntlInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna 1060, Austria.
Astrid R Mach-AignerInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna 1060, Austria.
Robert L MachInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna 1060, Austria.
Georg RamerInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.ORCID 0000-0001-8307-5435
Bernhard LendlInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.ORCID 0000-0003-3838-5842
TU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of the intracellular location of proteins is one of the fundamental tasks of microbiology. Conventionally, label-based microscopy and super-resolution techniques are employed. In this work, we demonstrate a new technique that can determine intracellular protein distribution at nanometer spatial resolution. This method combines nanoscale spatial resolution chemical imaging using the photothermal-induced resonance (PTIR) technique with multivariate modeling to reveal the intracellular distribution of cell components. Here, we demonstrate its viability by imaging the distribution of major cellulases and xylanases in

Indexed as

CellulasesEndo-1,4-beta XylanasesHypocrealesMicroscopy, Atomic ForceParticle SizeSpectrophotometry, InfraredSurface PropertiesCellulasesEndo-1,4-beta Xylanases

Identifiers

PMID33259186
PMCPMC7745202
OpenAlexW3106895111

What OpenQuestion 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 OpenQuestion graph.