Evidence map›Paper›PMID 30167133›Full record

ArticleLight, science & applications2016

Manipulation and detection of single nanoparticles and biomolecules by a photonic nanojet.

Yu-Chao Li, Hong-Bao Xin, Hong-Xiang Lei, Lin-Lin Liu, Yan-Ze Li, Yao Zhang, Bao-Jun Li

Abstract read
In one paragraph

Article in Light, science & applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  16. Photonic Nanojet-Mediated Optogenetics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  17. Article
  18. Article
  19. Lipid droplets as endogenous intracellular microlenses.Light, science & applications · 2021
    Article
  20. 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.

Yu-Chao LiInstitute of Nanophotonics, Jinan University, Guangzhou 511443, China.
Hong-Bao XinInstitute of Nanophotonics, Jinan University, Guangzhou 511443, China.
Hong-Xiang LeiState Key Laboratory of Optoelectronic Materials and Technologies, School of Materials Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.
Lin-Lin LiuState Key Laboratory of Microbial Technology, School of Life Sciences, Shandong University, Jinan 250100, China.
Yan-Ze LiNational Engineering Research Centre for Beijing Biochip Technology, Beijing 102206, China.
Yao ZhangInstitute of Nanophotonics, Jinan University, Guangzhou 511443, China.
Bao-Jun LiInstitute of Nanophotonics, Jinan University, Guangzhou 511443, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical methods to manipulate and detect nanoscale objects are highly desired in both nanomaterials and molecular biology fields. Optical tweezers have been used to manipulate objects that range in size from a few hundred nanometres to several micrometres. The emergence of near-field methods that overcome the diffraction limit has enabled the manipulation of objects below 100 nm. A highly free manipulation with signal-enhanced real-time detection, however, remains a challenge for single sub-100-nm nanoparticles or biomolecules. Here we show an approach that uses a photonic nanojet to perform the manipulation and detection of single sub-100-nm objects. With the photonic nanojet generated by a dielectric microlens bound to an optical fibre probe, three-dimensional manipulations were achieved for a single 85-nm fluorescent polystyrene nanoparticle as well as for a plasmid DNA molecule. Backscattering and fluorescent signals were detected with the enhancement factors up to ∼10

Indexed as

nanoparticlesoptical detectionoptical manipulationsingle biomolecules

Identifiers

PMID30167133
PMCPMC6059890

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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.