Evidence map›Paper›PMID 36280143›Full record

ArticleJournal of advanced research2023

An ultrasensitive NIR-IIa' fluorescence-based multiplex immunochromatographic strip test platform for antibiotic residues detection in milk samples.

Yunyue Zhang, Tao Liao, Guoxin Wang, Juan Xu, Mohan Wang, Fazheng Ren, Hao Zhang

Abstract read
In one paragraph

Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Milk-Derived Extracellular Vesicles InhibitAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. 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

7 authors.

Yunyue ZhangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100091, PR China.
Tao LiaoWWHS Biotech. Inc. Research Institute of Tsinghua University in Shenzhen, Shenzhen, Guangdong 518100, PR China.
Guoxin WangWWHS Biotech. Inc. Research Institute of Tsinghua University in Shenzhen, Shenzhen, Guangdong 518100, PR China.
Juan XuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100091, PR China.
Mohan WangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100091, PR China.
Fazheng RenCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100091, PR China; Food Laboratory of Zhongyuan, Luohe, Henan 462300, PR China.
Hao ZhangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100091, PR China; Food Laboratory of Zhongyuan, Luohe, Henan 462300, PR China. Electronic address: zhanghaocau@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWidely used in livestock breeding, residues of antibiotic drugs in milk have become a threat to food safety and human health. Current rapid detection technologies using colorimetric immunochromatographic strip tests (IST) lack the necessary sensitivity for on-site trace monitoring. Fluorescence-based detection in the near-infrared IIa' (NIR-IIa') region (1000 ∼ 1300 nm) has enormous potential due to greatly minimized auto-fluorescence and light scattering.

objectivesThe aim of this work is to develop an ultrasensitive IST platform using NIR-IIa' fluorescent nanoparticles as labels for multiplex antibiotic residues detection in milk.

methodsNIR-IIa' fluorescent nanoparticles were assembled by encapsulating synthesized NIR-IIa' fluorophores into carboxyl - modified polystyrene nanoparticles. The NIR-IIa' nanoparticles were subsequently used as labels in an IST platform to detect sulfonamides, quinolones, and lincomycin simultaneously in milk. A portable fluorescent reader was fabricated to provide on-site detection. To further validate the developed IST platform, the detection was compared with LC-MS/MS in 22 real milk samples.

resultsFluorescent nanoparticles were synthesized with low energy emission (1030 nm) and large Stokes shift (>250 nm) showing a much higher signal-to-noise ratio compared with fluorophores emitting in the NIR-I region. The developed IST platform yielded a highly sensitive, simultaneous quantification of sulfonamides, quinolones, and lincomycin in milk with detection limits of 46.7, 27.6 and 51.4 pg/mL, respectively, achieving a wide detection range (up to 50 ng/mL). The IST platform showed good accuracy, reproducibility, and specificity with the portable fluorescent reader which could rapidly quantify in 10 s. These results were better than reported immunochromatographic assays using fluorescent labels, and remarkably, showed a higher recognition ability than LC-MS/MS for real samples.

conclusionThe utility of NIR-IIa' fluorescence-based IST platform for the fast, sensitive, and accurate detection of antibiotics in milk was demonstrated, successfully verifying the potential of this platform in detecting trace materials in complex matrices.

Indexed as

ImmunoassayMilkSpectroscopy, Near-InfraredAnimalsAnti-Bacterial AgentsFluorescent DyesLimit of DetectionReproducibility of ResultsAnti-Bacterial AgentsFluorescent DyesDrugFluorescent nanoparticlesFood safetyLateral flow testSecond near-infrared region

Identifiers

PMID36280143
PMCPMC10403655

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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.