Evidence map›Paper›PMID 40870719›Full record

ArticleFoods (Basel, Switzerland)2025

Comparative Assessment of Gold and Carbon Nanoparticles as Tags for Lateral Flow Immunoassay of Fenpropathrin in Green Tea.

Chen Chen, Jinglei Xia, Jing Wang, Hongxing Wei, Qianxin Liang, Ziye Feng, Huimei Cai, Qingkui Fang, Ruyan Hou, Hongfang Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Chen ChenAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.ORCID 0009-0004-9747-4591
Jinglei XiaAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Jing WangAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Hongxing WeiAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Qianxin LiangAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Ziye FengAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Huimei CaiAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.
Qingkui FangKey Laboratory of Agri-products Quality and Biosafety, Ministry of Education, Anhui Agricultural University, Hefei 230036, China.ORCID 0000-0001-7278-9766
Ruyan HouNational Key Laboratory for Tea Plant Germplasm Innovation and Resource Utilization, School of Plant Protection, Anhui Agricultural University, Hefei 230036, China.ORCID 0000-0003-4423-694X
Hongfang LiAnhui Provincial Key Laboratory of Food Safety Monitoring and Quality Control, Joint Research Center for Food Nutrition and Health of IHM, Animal-Derived Food Safety Innovation Team of Anhui Agricultural University, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China.ORCID 0000-0002-9990-8259

Funding

Anhui Province Excellent Research and Innovation Team 2022AH010055National College Students Innovative and Entrepreneurial Training Program 202310364002National Key Research and Development Program of China 2019YFD1001601Project of Animal-derived Food Safety Innovation Team ANRC2021040Research Funds of Joint Research Center for Food Nutrition and Health of IHM 2024SJY03
6 · The paper itself

Abstract

Fenpropathrin (FPT) residues in tea pose a threat to consumers' health. Lateral flow immunoassay (LFIA) offers a rapid and convenient approach for FPT detection. However, existing LFIA formats, particularly those employing fluorescent nanoparticles, are susceptible to interference from the tea matrix's endogenous fluorescence, limiting their accuracy for FPT analysis. Here, two complementary LFIAs based on gold nanoparticle (AuNP) and carbon nanoparticle (CNP) tags were developed, both of which avoid matrix fluorescence effects due to their intrinsic coloration under ambient light. We systematically evaluated five cleanup materials and identified polyvinylpolypyrrolidone as the optimal cleanup material. Following PVPP-based purification, green tea extracts required only a four-fold dilution prior to LFIA analysis, effectively minimizing matrix interferences, such as tea polyphenols, and enhancing assay robustness and sensitivity. The visual limit of detection was 0.64 μg/g and a quantitative limit of detection (qLOD) was 0.11 μg/g for FPT in green tea using the AuNP-based LFIA. The CNP-based LFIA further improved sensitivity, with a visual limit of detection of 0.16 μg/g and a qLOD of 0.017 μg/g, a 6.4-fold enhancement in qLOD compared to the AuNP assay. Together, these two assays provide an efficient and accurate strategy for on-site screening of FPT residues in green tea.

Indexed as

carbon nanoparticlesfenpropathringold nanoparticleslateral flow immunoassaytea

Identifiers

PMID40870719
PMCPMC12385840

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.