Evidence map›Paper›PMID 34792679›Full record

ReviewBiomedical microdevices2021

Nano-functionalized paper-based IoT enabled devices for point-of-care testing: a review.

Vinay Kishnani, Sungjune Park, Umesh T Nakate, Kunal Mondal, Ankur Gupta

Abstract readReview
In one paragraph

Review in Biomedical microdevices, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Vinay KishnaniDepartment of Mechanical Engineering, Indian Institute of Technology Jodhpur-342037, Rajasthan, India.
Sungjune ParkDepartment of Polymer Nano Science and Technology, Jeonbuk National University, Jeonju, 54896, South Korea.
Umesh T NakateDepartment of Polymer Nano Science and Technology, Jeonbuk National University, Jeonju, 54896, South Korea.
Kunal MondalMaterials Science and Engineering Department, Idaho National Laboratory, Idaho Falls, ID 83415, USA.
Ankur GuptaDepartment of Mechanical Engineering, Indian Institute of Technology Jodhpur-342037, Rajasthan, India. ankurgupta@iitj.ac.in.ORCID 0000-0001-7855-2145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few years, the microfluidics phenomenon coupled with the Internet of Things (IoT) using innovative nano-functional materials has been recognized as a sustainable and economical tool for point-of-care testing (POCT) of various pathogens influencing human health. The sensors based on these phenomena aim to be designed for cost-effectiveness, make it handy, environment-friendly, and get an accurate, easy, and rapid response. Considering the burgeoning importance of analytical devices in the healthcare domain, this review paper is based on the gist of sensing aspects of the microfabricated paper-based analytical devices (μPADs). The article discusses the various used design methodologies and fabrication approaches and elucidates the recently reported surface modification strategies, detection mechanisms viz., colorimetric, electrochemical, fluorescence, electrochemiluminescence, etc. In a nutshell, this article summarizes the state-of-the-art research work carried out over the nano functionalized paper-based analytical devices and associated challenges/solutions in the point of care testing domain.

Indexed as

Internet of ThingsPoint-of-Care SystemsHumansLab-On-A-Chip DevicesMicrofluidicsPaperPoint-of-Care TestingIoT, μPADsPoint of care testingSelectivitySensitivitySensor

Identifiers

PMID34792679
PMCPMC8600500

What OpenQuestion holds

Textmetadata
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.