Evidence map›Paper›PMID 42195808›Full record

ReviewMaterials (Basel, Switzerland)2026

Engineering Nanomaterials for Next-Generation Electrochemical Food Safety Sensors: A Comprehensive Review.

Shakila Parveen Asrafali, Thirukumaran Periyasamy, Jaewoong Lee

Abstract readReview
In one paragraph

Review in Materials (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

3 authors.

Shakila Parveen AsrafaliDepartment of Fiber System Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-2638-5477
Thirukumaran PeriyasamyDepartment of Fiber System Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-1089-2615
Jaewoong LeeDepartment of Fiber System Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-6298-7088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising global demand for safe, high-quality foods has accelerated the development of rapid, sensitive, and cost-effective analytical technologies for detecting harmful substances and quality markers. Electrochemical sensors have emerged as promising tools for food safety monitoring due to their high sensitivity, fast response, portability, and affordability compared with conventional laboratory methods. This review highlights recent advances in nanostructured electrochemical sensors for detecting key food analytes, including antioxidants, mycotoxins, allergens, and flavor compounds in diverse food matrices. It examines advanced nanomaterials such as metal oxides, MXenes, doped carbon nitrides, and noble metal-decorated graphene, which enhance sensor performance through improved surface area, conductivity, and electrocatalytic activity. Integrated with screen-printed or glassy carbon electrodes, these materials achieve ultra-low detection limits, wide linear ranges, and strong selectivity in complex food systems. The review also explores next-generation applications such as NFC-enabled smart packaging for continuous, non-invasive monitoring across the supply chain. Emerging trends in miniaturization, multiplex sensing, and artificial intelligence are discussed, along with key challenges in translating laboratory innovations into practical commercial solutions for global food safety.

Indexed as

electrochemical sensorsfood safetygraphenemetal oxidesMXenenanomaterialsnanostructured materialsreal-time monitoringsmart packaging

Identifiers

PMID42195808
PMCPMC13208518

What OpenQuestion holds

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LicenceCC BY
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.