Evidence map›Paper›PMID 40622494›Full record

ArticleMikrochimica acta2025

A label-free electrochemical aptasensor utilizing NRGO-Fc-Pt@Pd NPs for ultrasensitive detection of Golgi protein 73 in human serum.

Jintao Liang, Canru Li, Yu Zhou, Lingling Fan, Lin Liu, Jianlu Liang, Xiaohong Tan, Zhide Zhou, Guiyin Li

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Article in Mikrochimica acta, 2025. 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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1 · What the graph read from it

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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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jintao LiangSchool of Life and Environmental Sciences, School of Intellectual Property, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, People's Republic of China.
Canru LiSchool of Life and Environmental Sciences, School of Intellectual Property, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, People's Republic of China.
Yu ZhouSchool of Life and Environmental Sciences, School of Intellectual Property, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, People's Republic of China.
Lingling FanCollege of Chemistry, Guangdong University of Petrochemical Technology, Maoming, Guangdong, 525000, People's Republic of China.
Lin LiuCollege of Chemistry, Guangdong University of Petrochemical Technology, Maoming, Guangdong, 525000, People's Republic of China.
Jianlu LiangSchool of Life and Environmental Sciences, School of Intellectual Property, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, People's Republic of China.
Xiaohong TanCollege of Chemistry, Guangdong University of Petrochemical Technology, Maoming, Guangdong, 525000, People's Republic of China.
Zhide ZhouSchool of Life and Environmental Sciences, School of Intellectual Property, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, People's Republic of China. zhouzhide10@guet.edu.cn.
Guiyin LiCollege of Chemistry, Guangdong University of Petrochemical Technology, Maoming, Guangdong, 525000, People's Republic of China. liguiyin01@gdupt.edu.cn.

Funding

Canru Li the Innovation Project of Guangxi Graduate Education (YCSW2023301)Guiyin Li the Projects of Talents Recruitment of GDUPT in Guangdong Province (No. RC-XJ2022000401)
6 · The paper itself

Abstract

Golgi protein 73 (GP73) is highly expressed in hepatocellular carcinoma (HCC) and considered a sensitive serum biomarker for HCC diagnosis. Herein, a label-free electrochemical aptasensor for ultrasensitive detection GP73 based on nitrogen-doped reduced graphene oxide-ferrocene-platinum@palladium nanoparticles (NRGO-Fc-Pt@Pd NPs) was constructed. The NRGO-Fc-Pt@Pd NPs offered excellent conductivity, biocompatibility, and large surface area, serving as both an electrode modifier and a redox probe due to Fc's good electroactivity. GP73 aptamer (GP73

Indexed as

Aptamers, NucleotideBiosensing TechniquesElectrochemical TechniquesMembrane ProteinsMetal NanoparticlesFerrous CompoundsGraphiteHumansLimit of DetectionMetallocenesPalladiumPlatinumReproducibility of ResultsAptamers, NucleotideferroceneFerrous CompoundsGOLM1 protein, humangraphene oxideGraphiteMembrane ProteinsMetallocenesPalladiumPlatinumAptamerElectrochemical aptasensorGolgi protein 73Label Free detectionNitrogen-doped reduced graphene oxide-ferrocene-platinum@palladium nanoparticles

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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.