Evidence map›Paper›PMID 37874411›Full record

ArticleNano-micro letters2023

Biocatalytic Buoyancy-Driven Nanobots for Autonomous Cell Recognition and Enrichment.

Ziyi Guo, Chenchen Zhuang, Yihang Song, Joel Yong, Yi Li, Zhong Guo, Biao Kong, John M Whitelock, Joseph Wang, Kang Liang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Metal-organic frameworks in pharmaceutical research.Pharmaceutical science advances · 2025
    Review
  3. 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

10 authors.

Ziyi GuoSchool of Chemical Engineering, Australian Centre for NanoMedicine, The University of New South Wales, Sydney, NSW, 2052, Australia.
Chenchen ZhuangGeneral Intensive Care Unit, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Yihang SongMedical College, Northwest Minzu University, Lanzhou, 730000, People's Republic of China.
Joel YongSchool of Chemical Engineering, Australian Centre for NanoMedicine, The University of New South Wales, Sydney, NSW, 2052, Australia.
Yi LiSchool/Hospital of Stomatology, Lanzhou University, Lanzhou, 730000, People's Republic of China. yil@lzu.edu.cn.
Zhong GuoMedical College, Northwest Minzu University, Lanzhou, 730000, People's Republic of China. yxgz@xbmu.edu.cn.
Biao KongDepartment of Chemistry, Shanghai Key Lab of Molecular Catalysis and Innovative Materials, Collaborative Innovation Center of Chemistry for Energy Materials, Fudan University, Shanghai, 200438, People's Republic of China.
John M WhitelockGraduate School of Biomedical Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia.
Joseph WangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Kang LiangSchool of Chemical Engineering, Australian Centre for NanoMedicine, The University of New South Wales, Sydney, NSW, 2052, Australia. kang.liang@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomously self-propelled nanoswimmers represent the next-generation nano-devices for bio- and environmental technology. However, current nanoswimmers generate limited energy output and can only move in short distances and duration, thus are struggling to be applied in practical challenges, such as living cell transportation. Here, we describe the construction of biodegradable metal-organic framework based nanobots with chemically driven buoyancy to achieve highly efficient, long-distance, directional vertical motion to "find-and-fetch" target cells. Nanobots surface-functionalized with antibodies against the cell surface marker carcinoembryonic antigen are exploited to impart the nanobots with specific cell targeting capacity to recognize and separate cancer cells. We demonstrate that the self-propelled motility of the nanobots can sufficiently transport the recognized cells autonomously, and the separated cells can be easily collected with a customized glass column, and finally regain their full metabolic potential after the separation. The utilization of nanobots with easy synthetic pathway shows considerable promise in cell recognition, separation, and enrichment.

Indexed as

Cell recognitionCell separationMetal–organic frameworksNanobotsSurface functionalization

Identifiers

PMID37874411
PMCPMC10597912

What Socratic 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 Socratic graph.