Evidence map›Paper›PMID 38794317›Full record

ArticlePharmaceutics2024

A Visual Raman Nano-Delivery System Based on Thiophene Polymer for Microtumor Detection.

Meng Li, Aoxiang Luo, Wei Xu, Haoze Wang, Yuanyuan Qiu, Zeyu Xiao, Kai Cui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutics, 2024. 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. Review
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.

Meng LiCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200233, China.
Aoxiang LuoDepartment of Pharmacology and Chemical Biology, Translational Medicine Collaborative Innovation Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Wei XuDepartment of Pharmacology and Chemical Biology, Translational Medicine Collaborative Innovation Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Haoze WangCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200233, China.
Yuanyuan QiuDepartment of Pharmacology and Chemical Biology, Translational Medicine Collaborative Innovation Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Zeyu XiaoCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200233, China.
Kai CuiDepartment of Pharmacology and Chemical Biology, Translational Medicine Collaborative Innovation Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Funding

International (regional) Cooperation Project of the National Natural Science Foundation of China NO.52161160307Shanghai Sailing Program 20YF1403200the National Key Research and Development Program of China NO. 2020YFA0210803
6 · The paper itself

Abstract

A visual Raman nano-delivery system (NS) is a widely used technique for the visualization and diagnosis of tumors and various biological processes. Thiophene-based organic polymers exhibit excellent biocompatibility, making them promising candidates for development as a visual Raman NS. However, materials based on thiophene face limitations due to their absorption spectra not matching with NIR (near-infrared) excitation light, which makes it difficult to achieve enhanced Raman properties and also introduces potential fluorescence interference. In this study, we introduce a donor-acceptor (D-A)-structured thiophene-based polymer, PBDB-T. Due to the D-A molecular modulation, PBDB-T exhibits a narrow bandgap of E

Indexed as

in vivo pharmacokineticsmicrotumor imagingnano-delivery systemNIR excitationresonant Raman scattering

Identifiers

PMID38794317
PMCPMC11125006

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.