Evidence map›Paper›PMID 41300081›Full record

ArticleFoods (Basel, Switzerland)2025

Sustainable Conversion of Coffee Ground Waste into Carbon Dots for Sensing Food Antioxidants.

Nan Jiang, Yuanjing Tao, Ruihong Wang, Xiaoran Zhao, Jingxuan Ren, Chenyang Jiang, Zihao Xu, Xuming Zhuang, Chao Shi

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. 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

9 authors.

Nan JiangSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.
Yuanjing TaoShandong Dyne Marine Biopharmaceutical Co., Ltd., Weihai 264300, China.
Ruihong WangSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.
Xiaoran ZhaoSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.
Jingxuan RenSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.
Chenyang JiangWeihai Institute for Food and Drug Control, Weihai 264200, China.
Zihao XuSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.
Xuming ZhuangSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.ORCID 0000-0002-8466-5071
Chao ShiSchool of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.

Funding

National Natural Science Foundation of China 22408307Natural Science Foundation of Shandong Province ZR2023MB047Natural Science Foundation of Shandong Province ZR2024QB096State Key Laboratory of Fine Chemicals, Dalian University of Technology KF2405
6 · The paper itself

Abstract

The total antioxidant capacity (TAC) of food products is a key parameter for assessing food quality and safety. In this work, iron-doped carbon dots (Fe-CDs) were successfully prepared using waste coffee grounds as a precursor with a satisfactory fluorescence quantum yield of 9.6%. The Fe-CDs exhibited exceptional peroxidase-like activity, which can oxidize colorless 3,3',5,5'-tetramethylbenzidine (TMB) to form blue oxTMB. Concurrently, oxTMB induced an inner filter effect, quenching the fluorescence of Fe-CDs. After being added to antioxidants such as glutathione, ascorbic acid, and L-cysteine, the generated reactive oxygen species (ROS) are consumed, thereby preventing the oxidation of TMB. The color of the mixed solution changed from dark to light blue, accompanied by the fluorescence recovery of Fe-CDs. Nevertheless, these three antioxidants possessed remarkable differences in ROS elimination capability, which resulted in different signal responses in absorption and fluorescence, and were successfully used for constructing the colorimetric/fluorescent dual-channel sensor array. Furthermore, the sensor array signals were processed using principal component analysis to achieve simultaneous detection of glutathione, ascorbic acid, and L-cysteine, and were able to effectively discriminate between mixtures and individual antioxidants. The constructed sensor array was successfully applied for the TAC detection in various foods (including vegetables, fruit, and beverages) and for the precise differentiation of antioxidants in milk samples. Overall, the prepared sensor array exhibited outstanding potential in detecting food quality.

Indexed as

carbon dotscoffee groundslow-costsensor arraytotal antioxidant capacity

Identifiers

PMID41300081
PMCPMC12651370

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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.