Evidence map›Paper›PMID 41744723›Full record

ArticleBiosensors2026

Upconversion Nanoparticle-Based Luminescence DNA Sensor on Porous Silicon Substrate.

Yangzhi Zhang, Xingyu Wang, Yajun Liu, Zhenhong Jia, Ziyi Yang, Xiaohui Huang, Jiajia Wang

Abstract read
In one paragraph

Article in Biosensors, 2026. 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. 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.

Yangzhi ZhangSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, China.
Xingyu WangSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, China.
Yajun LiuSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Zhenhong JiaSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Ziyi YangSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, China.
Xiaohui HuangSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Jiajia WangSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.ORCID 0000-0001-7624-8430

Funding

National Natural Science Foundation of China 62401493National Natural Science Foundation of China 62561050Tianshan Talent Training Project - Xinjiang Science and 279 Technology Innovation Team Program 2023TSYCTD0012
6 · The paper itself

Abstract

Rare-earth-doped upconversion nanoparticles (UCNPs) exhibit upconversion luminescence upon excitation with infrared light and have been extensively utilized in the field of biosensing. In this study, a UCNPs-based biosensor with porous silicon (PSi) as the substrate was developed for the first time, enabling the detection of target DNA molecule concentration. First, a PSi substrate was prepared via electrochemical etching and subsequently functionalized to enable target DNA molecules to immobilize onto the inner walls of the PSi substrate's pores. Then, UCNPs-labeled probe DNA molecules hybridized with the target DNA molecules, enabling indirect attachment of UCNPs to the inner walls of the PSi substrate. Subsequently, the sample surface is irradiated with a 980 nm laser. Upconversion fluorescence images of the sample, both before and after the biological reaction, are captured using an image acquisition device. Image processing software is employed to calculate the average change in grayscale values, enabling the determination of the molecular concentration of target DNA. The limit of detection (LOD) of this method for target DNA molecular concentration is 86 pM, demonstrating that it enables low-cost, highly sensitive, rapid, and convenient biological detection of target DNA molecules.

Indexed as

DNAgrayscale valuesporous silliconupconversion nanoparticle

Identifiers

PMID41744723
PMCPMC12937987

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.