Evidence map›Paper›PMID 39177690›Full record

ArticleMikrochimica acta2024

Application of a dual-modality colorimetric analysis method to inkjet printing lateral flow detection of Salmonella typhimurium.

Ya-Ching Yu, Zhijian Wang, Xiaoyu Ji, Eric Jacob Williamson, Hansel Mina Cordoba, Ana M Ulloa-Gomez, Amanda J Deering, George T-C Chiu, Jan P Allebach, Lia A Stanciu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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. 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.

Ya-Ching YuSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., West Lafayette, IN, 47907, USA.
Zhijian WangSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., West Lafayette, IN, 47907, USA.
Xiaoyu JiSchool of Electrical and Computer Engineering, Purdue University, 465 Northwestern Ave, West Lafayette, IN, 47907, USA.
Eric Jacob WilliamsonSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, 47907, USA.
Hansel Mina CordobaDepartment of Food Science, Purdue University, 745 Agriculture Mall Dr, West Lafayette, IN, 47907, USA.
Ana M Ulloa-GomezSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., West Lafayette, IN, 47907, USA.
Amanda J DeeringDepartment of Food Science, Purdue University, 745 Agriculture Mall Dr, West Lafayette, IN, 47907, USA.
George T-C ChiuSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, 47907, USA.
Jan P AllebachSchool of Electrical and Computer Engineering, Purdue University, 465 Northwestern Ave, West Lafayette, IN, 47907, USA.
Lia A StanciuSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., West Lafayette, IN, 47907, USA. lstanciu@purdue.edu.

Funding

Agricultural Research Service 8072-42000-077-00DNational Science Foundation 2127756
6 · The paper itself

Abstract

Lateral flow assay (LFA) color signal quantification methods were developed by utilizing both International Commission on Illumination (CIE) LAB (CIELAB) color space and grayscale intensity differences. The CIELAB image processing procedure included calibration, test, control band detection, and color difference calculation, which can minimize the noise from the background. The LFA platform showcases its ability to accurately discern relevant colorimetric signals. The rising occurrence of infectious outbreaks from foodborne pathogens like Salmonella typhimurium presents significant economic, healthcare, and public health risks. The study introduces an aptamer-based lateral flow (ABLF) platform by using inkjet printing for specially detecting S. typhimurium. The ABLF utilized gold-decorated polystyrene microparticles, functionalized with specific S. typhimurium aptamers (Ps-AuNPs-ssDNA). The platform demonstrates a detection limit of 10

Indexed as

Aptamers, NucleotideColorimetryGoldMetal NanoparticlesSalmonella typhimuriumBiosensing TechniquesFood MicrobiologyLactucaLimit of DetectionPolystyrenesPrintingAptamers, NucleotideGoldPolystyrenesAptamerCIELABInkjet printingLateral flow biosensorSalmonella typhimurium

Identifiers

PMID39177690

What OpenQuestion holds

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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.