Evidence map›Paper›PMID 33404824›Full record

ArticleMikrochimica acta2021

Visual paper-based sensor for the highly sensitive detection of caffeine in food and biological matrix based on CdTe-nano ZnTPyP combined with chemometrics.

Hengye Chen, Rui Liu, Xiaoming Guo, Gaoqiong Deng, Lu Xu, Lei Zhang, Wei Lan, Chunsong Zhou, Yuanbin She, Haiyan Fu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2021. 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.

Hengye ChenThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China.
Rui LiuThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China.
Xiaoming GuoThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China.
Gaoqiong DengThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China.
Lu XuCollege of Material and Chemical Engineering, Tongren University, Tongren, 554300, Guizhou, People's Republic of China.
Lei ZhangState Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Wei LanThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China.
Chunsong ZhouState Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Yuanbin SheState Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Haiyan FuThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, 430074, People's Republic of China. fuhaiyan@mail.scuec.edu.cn.

Funding

National Natural Science Foundation of China 2020YFC1712700National Natural Science Foundation of China 21665022National Natural Science Foundation of China 21776259National Natural Science Foundation of China 21776321National Natural Science Foundation of China 31972164National Natural Science Foundation of China 32001789
6 · The paper itself

Abstract

Caffeine naturally occurs in tea and cocoa, which is also used as an additive in beverages and has pharmacological effects such as refreshing, antidepressant, and digestion promotion, but excessive caffeine can cause harm to the human body. In this work, based on the specific response between nano zinc 5, 10, 15, 20-tetra(4-pyridyl)-21H-23H-porphine (nano ZnTPyP)-CdTe quantum dots (QDs) and caffeine, combined with chemometrics, a visual paper-based sensor was constructed for rapid and on-site detection of caffeine. The fluorescence of QDs can be quenched by nano ZnTPyP. When caffeine is added to the system, it can pull nano ZnTPyP off the surface of the QDs to achieve fluorescence recovery through electrostatic attraction and nitrogen/zinc coordination. The detection range is 5 × 10

Indexed as

PaperAnimalsCadmium CompoundsCaffeineCattleColorimetryHumansLimit of DetectionMetalloporphyrinsQuantum DotsTeaTelluriumWaterZinc CompoundsCadmium Compoundscadmium tellurideCaffeineMetalloporphyrinsTeaTelluriumWaterzinc 5, 10, 15, 20-tetra(4-pyridyl)-21H-23H-porphineZinc CompoundsCaffeineChemometricsNanoporphyrinQuantum dotsVisual paper-based detection

Identifiers

PMID33404824

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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.