Evidence map›Paper›PMID 34853388›Full record

ArticleScientific reports2021

Portable on-chip colorimetric biosensing platform integrated with a smartphone for label/PCR-free detection of Cryptosporidium RNA.

George S Luka, Ephraim Nowak, Quin Robert Toyata, Nishat Tasnim, Homayoun Najjaran, Mina Hoorfar

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. From conventional to biosensor-based detection ofFood and waterborne parasitology · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Understanding theFrontiers in parasitology · 2024
    Review
  7. Review
  8. Review
  9. 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

6 authors.

George S LukaSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
Ephraim NowakSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
Quin Robert ToyataSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
Nishat TasnimSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
Homayoun NajjaranSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
Mina HoorfarSchool of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, V1V 1V7, Canada. mina.hoorfar@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium, a protozoan pathogen, is a leading threat to public health and the economy. Herein, we report the development of a portable, colorimetric biosensing platform for the sensitive, selective and label/PCR-free detection of Cryptosporidium RNA using oligonucleotides modified gold nanoparticles (AuNPs). A pair of specific thiolated oligonucleotides, complementary to adjacent sequences on Cryptosporidium RNA, were attached to AuNPs. The need for expensive laboratory-based equipment was eliminated by performing the colorimetric assay on a micro-fabricated chip in a 3D-printed holder assembly. A smartphone camera was used to capture an image of the color change for quantitative analysis. The detection was based on the aggregation of the gold nanoparticles due to the hybridization between the complementary Cryptosporidium RNA and the oligonucleotides immobilized on the AuNPs surface. In the complementary RNA's presence, a distinctive color change of the AuNPs (from red to blue) was observed by the naked eye. However, in the presence of non-complementary RNA, no color change was observed. The sensing platform showed wide linear responses between 5 and 100 µM with a low detection limit of 5 µM of Cryptosporidium RNA. Additionally, the sensor developed here can provide information about different Cryptosporidium species present in water resources. This cost-effective, easy-to-use, portable and smartphone integrated on-chip colorimetric biosensor has great potential to be used for real-time and portable POC pathogen monitoring and molecular diagnostics.

Indexed as

Lab-On-A-Chip DevicesBiosensing TechniquesColorimetryCryptosporidiosisCryptosporidiumEquipment DesignGoldHumansLimit of DetectionMetal NanoparticlesNucleic Acid HybridizationOligonucleotidesRNA, ProtozoanSmartphoneGoldOligonucleotidesRNA, Protozoan

Identifiers

PMID34853388
PMCPMC8636559

What OpenQuestion holds

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LicenceCC BY
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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.