Evidence map›Paper›PMID 38709347›Full record

ArticleMikrochimica acta2024

Hydroxylated hierarchical flower-like COF for solid-phase extraction of adrenergic receptor agonists in milk.

Guiju Xu, Chuqing Liu, Chunlei Yang, Hongwei Zhang, Chenghao Hou, Lizeng Peng, Lei Wang, Ru-Song Zhao

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Guiju XuInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan, China. xuguiju2013@126.com.
Chuqing LiuKey Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Chunlei YangInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan, China.
Hongwei ZhangInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan, China. nkzhhw@163.com.
Chenghao HouInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan, China.
Lizeng PengInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan, China.
Lei WangShandong Institute for Food and Drug Control, Jinan, China.
Ru-Song ZhaoKey Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.

Funding

Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences CXGC2023F09Key Technology Research and Development Program of Shandong Province 2022TZXD0021National Key Research and Development Program 2022YFF1100603National Natural Science Foundation of China 22106080Taishan Scholar Foundation of Shandong Province ts20190948
6 · The paper itself

Abstract

A new detection platform based on a hydroxylated covalent organic framework (COF) integrated with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was constructed and used for detecting adrenergic receptor agonists (ARAs) residues in milk. The hydroxylated COF was prepared by polymerization of tris(4-aminophenyl)amine and 1,3,5-tris(4-formyl-3-hydroxyphenyl)benzene and applied to solid-phase extraction (SPE) of ARAs. This hydroxylated COF was featured with hierarchical flower-like morphology, easy preparation, and copious active adsorption sites. The adsorption model fittings and molecular simulation were applied to explore the potential adsorption mechanism. This detection platform was suitable for detecting four α

Indexed as

MilkSolid Phase ExtractionTandem Mass SpectrometryAdrenergic AgonistsAdsorptionAnimalsCattleHydroxylationLimit of DetectionMetal-Organic FrameworksAdrenergic AgonistsMetal-Organic FrameworksAdrenergic receptor agonistsHydroxylated COFLC–MS/MSMilk analysisSPE

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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.