Issue 7, 2025, Issue in Progress

ZIP-8/Ag-based size-selective SERS nanoplatform for ultrasensitive urea detection in milk samples: effects of analyte molecular dimensions on adsorption capacity and sensing performance

Abstract

Being well-known as an excellent sorbent, metal–organic frameworks (MOFs) have been employed to intergrate with noble metal nanoparticles to fabricate active substrates for surface-enhance Raman spectroscopy (SERS) sensing applications. In this work, we employed three organic molecules with different molecular dimensions, including urea, methylene blue (MB) and Congo red (CR) for investigating SERS performance of a ZIP-8/Ag heterostructure. While every dimension of urea is smaller than the pore size of ZIP-8, MB and CR has one dimension larger than that of the pore size. The results show that only urea experienced large SERS enhancements on ZIP-8/Ag sensing platform. In contrast, MB and CR exhibited lower SERS intensity on ZIP-8/Ag than on pure Ag nanoparticle substrates. Adsorption capacities of those analyte were then calculated to confirm that urea could be adsorbed into ZIP-8/Ag at the best rate. The size-dependent mechanism of analyte adsorption and improving SERS signal was then confirmed using two other organic compounds: 4-nitrophenol (4-NP) and chloramphenicol (CAP). Thanks to the size-selective adsorption, small molecules such as urea and 4-NP can be effectively detected in the presence of large interfering molecules, which is useful for developing advanced SERS applications. The ZIP-8/Ag-based SERS sensor could detect urea at impressive concentrations as low as 1.48 × 10−10 M in standard solutions and 10−8 M in milk.

Graphical abstract: ZIP-8/Ag-based size-selective SERS nanoplatform for ultrasensitive urea detection in milk samples: effects of analyte molecular dimensions on adsorption capacity and sensing performance

Supplementary files

Article information

Article type
Paper
Submitted
28 Oct 2024
Accepted
06 Feb 2025
First published
13 Feb 2025
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2025,15, 4915-4925

ZIP-8/Ag-based size-selective SERS nanoplatform for ultrasensitive urea detection in milk samples: effects of analyte molecular dimensions on adsorption capacity and sensing performance

D. T. N. Nga, Q. D. Mai, L. H. T. Nguyen, T. L. H. Doan, V. Thi Kim Oanh, T. Ngoc Bach, V. Dinh Lam, H. A. Nguyen and A. Le, RSC Adv., 2025, 15, 4915 DOI: 10.1039/D4RA07695H

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