Evidence map›Paper›PMID 33786535›Full record

ArticleAdvanced photonics research2021

On-Chip Optical Detection of Viruses: A Review.

Yuzhi Shi, Zhenyu Li, Patricia Yang Liu, Binh Thi Thanh Nguyen, Wenshuai Wu, Qianbin Zhao, Lip Ket Chin, Minggui Wei, Peng Huat Yap, Xiaohong Zhou and 4 more

Open access · goldAbstract read
In one paragraph

Article in Advanced photonics research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  3. Review
  4. Review
  5. 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

14 authors at 5 institutions in 4 countries.

Yuzhi ShiSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.ORCID 0000-0003-1624-7895
Zhenyu LiSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Patricia Yang LiuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Binh Thi Thanh NguyenSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Wenshuai WuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Qianbin ZhaoSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Lip Ket ChinSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Minggui WeiSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.
Peng Huat YapLee Kong Chian School of Medicine Nanyang Technological University Singapore 308232 Singapore.
Xiaohong ZhouState Key Joint Laboratory of ESPC School of Environment Tsinghua University Beijing 100084 China.
Hongwei ZhaoState Key Laboratory of Marine Resource Utilization of South China Sea Hainan University Haikou 570228 China.
Dan YuBeijing Pediatric Research Institute Beijing Children's Hospital Capital Medical University National Center for Children's Health Beijing 100045 China.
Din Ping TsaiDepartment of Electronic and Information Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China.ORCID 0000-0002-0883-9906
Ai Qun LiuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore.ORCID 0000-0002-0126-5778
Nanyang Technological University · SGCapital Medical University · CNHainan University · CNHong Kong Polytechnic University · HKState Key Joint Laboratory of Environment Simulation and Pollution Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current outbreak of the coronavirus disease-19 (COVID-19) pandemic worldwide has caused millions of fatalities and imposed a severe impact on our daily lives. Thus, the global healthcare system urgently calls for rapid, affordable, and reliable detection toolkits. Although the gold-standard nucleic acid amplification tests have been widely accepted and utilized, they are time-consuming and labor-intensive, which exceedingly hinder the mass detection in low-income populations, especially in developing countries. Recently, due to the blooming development of photonics, various optical chips have been developed to detect single viruses with the advantages of fast, label-free, affordable, and point of care deployment. Herein, optical approaches especially in three perspectives, e.g., flow-free optical methods, optofluidics, and surface-modification-assisted approaches, are summarized. The future development of on-chip optical-detection methods in the wave of emerging new ideas in nanophotonics is also briefly discussed.

Indexed as

COVID‐19optical detectionoptofluidicssurface modificationsviruses

Identifiers

PMID33786535
PMCPMC7994989
OpenAlexW3119113108

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.