Evidence map›Paper›PMID 42794055›Full record

ReviewFoods (Basel, Switzerland)2026

Phenolic Antioxidants in Food: A Comparative Review of Chromatographic, Spectroscopic, and Electrochemical Detection Methods.

Yani Zhao, Qiongya Lu, Jinlan Tu, Zhouyuan Zhao, Bin Zou

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. 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

5 authors.

Yani ZhaoSchool of Food Science and Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China.
Qiongya LuSchool of Food Science and Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China.
Jinlan TuSchool of Food Science and Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China.
Zhouyuan ZhaoSchool of Food Science and Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China.
Bin ZouSchool of Food Science and Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China.ORCID 0000-0003-3816-8776

Funding

Jiangsu University Y24A044National Key Research and Development Program of China 2021YFC2103800National Natural Science Foundation of China No. 22178153
6 · The paper itself

Abstract

The detection of phenolic antioxidants in food is essential for ensuring food safety. Chromatographic analysis, spectroscopic analysis, and electrochemical detection are three mainstream techniques widely applied for qualitative and quantitative analysis of antioxidants in complex matrices. However, existing reviews mostly focus on single techniques, lack systematic cross-platform comparisons. This paper reviews the classification of phenolic antioxidants, summarizes recent advances in each detection technique, and provides a horizontal comparison in terms of sensitivity, selectivity, analytical efficiency, cost, and applicable scenarios. Chromatography remains the gold standard for confirmatory analysis, spectroscopy is suitable for rapid screening, and electrochemistry shows unique potential for on-site real-time monitoring. Each technique has distinct advantages and limitations, and their integration represents a promising direction for comprehensive food safety monitoring. Future development trends, including intelligence, portability, and multi-technique integration, are also discussed to guide practical method selection for food-safety detection.

Indexed as

chromatographic analysisdetection techniqueselectrochemical detectionphenolic antioxidantsspectroscopic analysis

Identifiers

PMID42794055
PMCPMC13606098

What Socratic holds

Textmetadata
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 Socratic graph.