Evidence map›Paper›PMID 41455799›Full record

ArticleMikrochimica acta2025

Rapid, quantitative lateral flow immunoassay using polystyrene-gold composite nanoparticles and CIELAB analysis for on-site detection of Listeria monocytogenes in food samples.

Zhijian Wang, Ya-Ching Yu, Xiaoyu Ji, Yixuan Ding, Amanda J Deering, George T-C Chiu, Jan P Allebach, Lia A Stanciu

Abstract read
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhijian WangWeldon School of Biomedical Engineering, Purdue University, 610 Purdue Mall, IN, 47907, West Lafayette, USA.
Ya-Ching YuSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., IN, 47907, West Lafayette, USA.
Xiaoyu JiSchool of Electrical and Computer Engineering, Purdue University, 465 Northwestern Ave., IN, 47907, West Lafayette, USA.
Yixuan DingSchool of Materials Engineering, Purdue University, 701 West Stadium Ave., IN, 47907, West Lafayette, USA.
Amanda J DeeringDepartment of Food Science, Purdue University, 745 Agriculture Mall Dr., IN, 7907, West Lafayette, USA.
George T-C ChiuSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, IN, 47907, West Lafayette, USA.
Jan P AllebachSchool of Electrical and Computer Engineering, Purdue University, 465 Northwestern Ave., IN, 47907, West Lafayette, USA.
Lia A StanciuWeldon School of Biomedical Engineering, Purdue University, 610 Purdue Mall, IN, 47907, West Lafayette, USA. lstanciu@purdue.edu.

Funding

Agricultural Research Service 59-8072-6-001National Science Foundation CBET 2127756
6 · The paper itself

Abstract

Sensitive, enrichment-free detection of Listeria monocytogenes in food matrices is still challenging. Traditional lateral flow immunoassays (LFIA) come with limited sensitivity and often require lengthy pre-enrichment steps, which is a roadblock for rapid and on-site testing. In this work, a novel LFIA platform was developed that uses surface-modified polystyrene-gold nanoparticle composites (Ps-AuNPs) as enhanced colorimetric labels. The resulting signal enhancement enables the detection of L. monocytogenes without pre-enrichment steps. The assay also uses International Commission on Illumination Lab (CIELAB) color space-based image analysis pipeline to quantify colorimetric signals. CIELAB calculates perceptually uniform color differences (ΔE) and thus reduces subjective bias compared to conventional RGB analysis. The signal enhancement protocol resulted in an assay limit of detection (LOD) of 34 CFU/ml in PBS buffer and 452 CFU/ml in spiked romaine lettuce without any enrichment. The composite nanoparticle labels have excellent stability and retain performance over one month of ambient storage. The reported LFIA assay addresses the sensitivity gap in conventional systems and demonstrates practical applicability for rapid, cost-effective, and field-ready monitoring of L. monocytogenes contamination in real food samples.

Indexed as

Food ContaminationFood MicrobiologyGoldListeria monocytogenesMetal NanoparticlesPolystyrenesColorimetryImmunoassayLimit of DetectionGoldPolystyrenesAntibodyCIELABColorimetric detectionImage analysisInkjet printingLateral flow biosensorListeria monocytogenesNanoparticle

Identifiers

PMID41455799
PMCPMC12743664

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.