Evidence map›Paper›PMID 38667176›Full record

ArticleBiosensors2024

Innovative Detection of Biomarkers Based on Chemiluminescent Nanoparticles and a Lensless Optical Sensor.

Cristina Potrich, Gianluca Palmara, Francesca Frascella, Lucio Pancheri, Lorenzo Lunelli

Abstract read
In one paragraph

Article in Biosensors, 2024. 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.

Cristina PotrichFondazione Bruno Kessler, Center for Sensors & Devices, Via Sommarive 18, I-38123 Trento, Italy.ORCID 0000-0002-0793-7547
Gianluca PalmaraFondazione Bruno Kessler, Center for Sensors & Devices, Via Sommarive 18, I-38123 Trento, Italy.ORCID 0000-0002-9053-9290
Francesca FrascellaDepartment of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy.ORCID 0000-0002-6543-6038
Lucio PancheriDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, I-38123 Trento, Italy.ORCID 0000-0002-3954-7308
Lorenzo LunelliFondazione Bruno Kessler, Center for Sensors & Devices, Via Sommarive 18, I-38123 Trento, Italy.ORCID 0000-0002-8824-2084

Funding

Fondazione Valorizzazione Ricerca Trentina 2nd call Next Generation 2021 - SiPoBio
6 · The paper itself

Abstract

The identification and quantification of biomarkers with innovative technologies is an urgent need for the precise diagnosis and follow up of human diseases. Body fluids offer a variety of informative biomarkers, which are traditionally measured with time-consuming and expensive methods. In this context, lateral flow tests (LFTs) represent a rapid and low-cost technology with a sensitivity that is potentially improvable by chemiluminescence biosensing. Here, an LFT based on gold nanoparticles functionalized with antibodies labeled with the enzyme horseradish peroxidase is combined with a lensless biosensor. This biosensor comprises four Silicon Photomultipliers (SiPM) coupled in close proximity to the LFT strip. Microfluidics for liquid handling complete the system. The development and the setup of the biosensor is carefully described and characterized. C-reactive protein was selected as a proof-of-concept biomarker to define the limit of detection, which resulted in about 0.8 pM when gold nanoparticles were used. The rapid readout (less than 5 min) and the absence of sample preparation make this biosensor promising for the direct and fast detection of human biomarkers.

Indexed as

BiomarkersBiosensing TechniquesGoldMetal NanoparticlesC-Reactive ProteinHorseradish PeroxidaseHumansLimit of DetectionLuminescent MeasurementsBiomarkersC-Reactive ProteinGoldHorseradish Peroxidaseantibody-functionalized nanoparticleschemiluminescent detectionlateral flow testlensless biosensor

Identifiers

PMID38667176
PMCPMC11048690

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.