Título:	MXene-Modified Fiber-Based Electronic Tongue for Sensitive Detection of Antibiotic Residues in Milk.
Autor:	FACURE, M. H. M. BI, L. ZHANG, T. MERCANTE, L. A. GOGOTSI, Y. CORREA, D. S.
Afiliación:	UNIVERSITY OF SAO CARLOS (UFSCAR); DREXEL UNIVERSITY, PHILADELPHIA, PENNSYLVANIA 19104, UNITED STATES; DREXEL UNIVERSITY, PHILADELPHIA, PENNSYLVANIA 19104, UNITED STATES; FEDERAL UNIVERSITY OF BAHIA (UFBA), SALVADOR, BA 40170-28, BRAZIL; DREXEL UNIVERSITY, PHILADELPHIA, PENNSYLVANIA 19104, UNITED STATES; DANIEL SOUZA CORREA, CNPDIA.
Año:	2026
Referencia:	ACS Omega, v. 11 2026.
Páginas:	5779−5786
Descripción:	The widespread use of antibiotics has raised concerns about their residues in dairy products, meat, fish, and poultry, which can pose risks to human health and lead to substantial economic losses. Therefore, the rapid, sensitive, and cost-effective detection of low concentrations of various antibiotics in food samples is critical. This work reports on the fabrication of MXene fibers by coating commercial nylon yarns with Ti3C2, Ti3C1.75N0.25, and Ti3C1.5N0.5 MXenes and their use as electrodes in an impedimetric electronic tongue (e-tongue). The MXenemodified fiber-based e-tongue was employed in the detection of trace amounts of cloxacillin benzathine, tetracycline hydrochloride, and streptomycin sulfate. By treating the collected electrical resistance data, the system could differentiate the antibiotics and detect their presence in real milk samples at concentrations as low as 10 nM. The use of low-cost MXene-modified nylon fibers as electrodes, which can be fabricated through rapid and straightforward methods, enhances the scalability and practicability of the etongue system. This approach represents a promising and robust alternative for the sensitive detection of diverse antibiotic residues in food matrices.
Palabras clave:	Atomic ratio Analyses of the antibiotic
DOI:	https://doi.org/10.1021/acsomega.5c09760
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPDIA)