Evidence map›Paper›PMID 38449817›Full record

ArticleRSC advances2024

Highly sensitive and accurate detection of cholesterol based on a single red upconversion biosensor.

Pang Tingyuan, Liu Xiaorui, Li Jia, Song Qi, Li Junren, Han Ling, Shu Wenying, Jian Xiaoshun, Zhang Meimei

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Pang TingyuanDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Liu XiaoruiDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Li JiaDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Song QiDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Li JunrenDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Han LingIntegrated Traditional Chinese and Western Medicine Department (Internal Medicine Section 5), Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou China.
Shu WenyingDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Jian XiaoshunDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.
Zhang MeimeiDepartment of Pharmacy, Affiliated Cancer Hospital, Institute of Guangzhou Medical University Guangzhou China.ORCID https://orcid.org/0009-0001-8700-3997
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol (CHOL) is an important clinical biochemical indicator that plays an important role in the regulation of the fluidity, permeability, and microstructure of cell membranes. Therefore, it is necessary to accurately monitor CHOL levels in biological samples for the early prevention and diagnosis of various diseases. The single-band red upconversion nanoparticle (UCNP) emits light within the optical transmission window of biological tissues, and can penetrate deeper biological tissues and cause less energy loss due to scattering and thus have higher sensitivity and accuracy. Here, using the nontoxic, sensitive, and photochemically stable 3,3',5,5'-tetramethylbenzidine (TMB) as the quenching agent and single red UCNP as the fluorescent donor, a dual-readout colorimetric and fluorescent sensor was developed to detect CHOL. The detection mechanism and feasibility were discussed in detail, and experimental conditions such as Fe

Identifiers

PMID38449817
PMCPMC10915588
OpenAlexW4392522564

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.