Yao Xu , Li Xu , Junchun Guo , Xiangwei Yuan , Sheng Li , Xiaoli Xiong
{"title":"ZIF derived coral-like hierarchically structured CoO@CoMn-LDH nanoarray self-supported electrocatalyst for enhanced formaldehyde electrochemical sensing in food samples","authors":"Yao Xu , Li Xu , Junchun Guo , Xiangwei Yuan , Sheng Li , Xiaoli Xiong","doi":"10.1016/j.snb.2025.137969","DOIUrl":null,"url":null,"abstract":"<div><div>Formaldehyde (FA) is a toxic substance and represents a risk to human health. It is urgent to develop a low-cost and sensitive electrochemical detection technology for FA based on inexpensive transition metal nanomaterials. In this work, using Co(OH)F nanorods and ZIF-67 as precursors, a self-supporting coral-like CoO@CoMn-LDH nanoarray electrocatalyst with hierarchical structure was synthesized in situ on nickel foam (NF) substrate by two-step template strategy. The integration of hierarchically structured LDH onto the conductive nickel foam substrate offers a robust solution to the disadvantages of low electrical conductivity and easy agglomeration of LDH. Consequently, the engineered coral-like nanoarray significantly enhances the specific surface area and density of active sites of the electrocatalyst, while also facilitating an improved electron transport rate and enhanced mass transfer capacity. As a working electrode, the FA sensor shows superior electrochemical detection performance with a wide response linear range (0.035–7 mM) and a low detection limit (7.8 ×10<sup>−3</sup> mM (S/N = 3)), and it has also been effectively utilized to measure FA concentrations in real food samples. This study offers a novel approach and method for developing an efficient and sensitive electrochemical detection technology for FA.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"441 ","pages":"Article 137969"},"PeriodicalIF":8.0000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators B: Chemical","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925400525007452","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Formaldehyde (FA) is a toxic substance and represents a risk to human health. It is urgent to develop a low-cost and sensitive electrochemical detection technology for FA based on inexpensive transition metal nanomaterials. In this work, using Co(OH)F nanorods and ZIF-67 as precursors, a self-supporting coral-like CoO@CoMn-LDH nanoarray electrocatalyst with hierarchical structure was synthesized in situ on nickel foam (NF) substrate by two-step template strategy. The integration of hierarchically structured LDH onto the conductive nickel foam substrate offers a robust solution to the disadvantages of low electrical conductivity and easy agglomeration of LDH. Consequently, the engineered coral-like nanoarray significantly enhances the specific surface area and density of active sites of the electrocatalyst, while also facilitating an improved electron transport rate and enhanced mass transfer capacity. As a working electrode, the FA sensor shows superior electrochemical detection performance with a wide response linear range (0.035–7 mM) and a low detection limit (7.8 ×10−3 mM (S/N = 3)), and it has also been effectively utilized to measure FA concentrations in real food samples. This study offers a novel approach and method for developing an efficient and sensitive electrochemical detection technology for FA.
期刊介绍:
Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.