Evidence map›Paper›PMID 42702653›Full record

ReviewAnalytical and bioanalytical chemistry2026

Recent advances in CRISPR/Cas12a-based biosensors for heavy metal analysis: a review of signal readout strategies and analytical performance.

Shanshan Hu, Jingxuan Liu, Jiahui Deng, Yanhui Yuan, Shuchang Peng, Mingxia Le, Jingxian Li, Kun Xu

Abstract readReview
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In one paragraph

Review in Analytical and bioanalytical chemistry, 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

8 authors.

Shanshan HuSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Jingxuan LiuSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Jiahui DengSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Yanhui YuanSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Shuchang PengSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Mingxia LeSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China.
Jingxian LiSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China. jingxianli@hunnu.edu.cn.
Kun XuSchool of Public Health, Hunan Normal University, Changsha, 410013, Hunan, PR China. xu_kun2022@163.com.

Funding

the China Postdoctoral Science Foundation GZC20261162the Department of Education of Hunan Province 23A0075the National Natural Science Foundation of China 82173572the National Natural Science Foundation of China 82574159the Science and Technology Program of Hunan Province 2023JJ30430the Science and Technology Program of Hunan Province 2026JJ80902the Science and Technology Program of Hunan Province 2026JK2006
6 · The paper itself

Abstract

Heavy metals are environmental hazards owing to their toxicity, persistence, and bioaccumulation in living organisms. These metals often accumulate or transform into more toxic compounds, and some accumulate in the human body through the food chain, which is extremely harmful to health. Although conventional detection methods are reliable, they are often hampered by high costs and complex operations, motivating the exploration of alternative sensing strategies. CRISPR/Cas (Clustering Regularly Interspaced Short Palindromic Repeats and Related Proteins) systems have shown potential for developing sensitive assays with significant target specificity, programmability, and signal amplification capabilities. This review discusses research progress on using CRISPR/Cas12a to detect and prevent heavy metal contamination in food. This review introduces methodological innovations in various signal readout methods, including fluorescence, colorimetry, electrochemistry, and microfluidics, and critically evaluates their analytical performance, such as sensitivity, selectivity, and practical applicability in complex food matrices. Finally, this review aims to provide valuable guidance for researchers to develop next-generation diagnostic tools that meet the requirements of rapid screening and precision testing for food safety.

Indexed as

BiosensorsCRISPR/CasFood safetyHeavy metal detectionsSignal readout strategies

Identifiers

PMID42702653

What OpenQuestion holds

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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 OpenQuestion graph.