Evidence map›Paper›PMID 42702637›Full record

ArticleMikrochimica acta2026

Copper-modified peanut shell biochar-based electrochemical sensor for the detection of glufosinate ammonium in food and environmental samples.

Xun Gong, Yingying Li, Jie Hu, Xingchen Yao, Ya Wang, Xiupei Yang

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

6 authors.

Xun GongCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China.
Yingying LiCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China.
Jie HuCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China.
Xingchen YaoCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China.
Ya WangCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China. ywang312@163.com.
Xiupei YangCollege of Chemistry and Chemical Engineering, China West Normal University, Nanchong, 637009, China. xiupeiyang@cwnu.edu.cn.

Funding

Innovation Team Funds of China West Normal KCXTD2022-2National Natural Science Foundation of China 22276150Natural Science Foundation of Sichuan Province of China 2023NSFSC0023
6 · The paper itself

Abstract

A novel electrochemical sensing platform was developed using copper-modified and alkali-activated peanut shell biochar (CuPS-OH) for the selective and sensitive detection of glufosinate ammonium (GLA) in food and environmental samples. The sensor operates on the basis of solid-state electrochemical signal amplification from in situ-formed CuCl, which is generated via the reaction between surface Cu species and Cl⁻. GLA specifically binds to copper active sites and competitively suppresses the CuCl signal, enabling quantitative detection. Material characterization confirmed that alkaline treatment significantly improved the conductivity and electroactive surface area of the biochar composite. Under optimized conditions, the sensor exhibited a wide linear range of 0.2-200 µM and a low detection limit of 58 nM. It demonstrated outstanding anti-interference capability, stability, and accuracy in real-sample analyses (grape, river water, and soil), with recoveries ranging from 96.0% to 103.6%. This work offers a feasible and efficient strategy for developing high-performance biochar-based electrochemical sensors applicable to food safety and environmental monitoring.

Indexed as

AminobutyratesArachisCharcoalCopperElectrochemical TechniquesLimit of DetectionAminobutyratesbiocharCharcoalCopperphosphinothricinBiocharCopper-based sensor materialElectrochemical sensorGlufosinate ammonium

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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.