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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
Тип публикации: Journal Article
Дата публикации: 2025-02-13
SCImago Q1
WOS Q2
БС1
SJR: 0.859
CiteScore: 7.6
Impact factor: 4.6
ISSN: 20462069
Краткое описание
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.
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Dao Thi N. N. et al. 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 // RSC Advances. 2025. Vol. 15. No. 7. pp. 4915-4925.
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Dao Thi N. N., Mai Q. D., Nguyen L. H. T., Doan T. L. H., Vu T. K. O., Ta N. B., Vu D. L., Nguyen H. A., Le A. 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 // RSC Advances. 2025. Vol. 15. No. 7. pp. 4915-4925.
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TY - JOUR
DO - 10.1039/d4ra07695h
UR - https://xlink.rsc.org/?DOI=D4RA07695H
TI - 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
T2 - RSC Advances
AU - Dao Thi, Nguyet Nga
AU - Mai, Quan Doan
AU - Nguyen, Linh H T
AU - Doan, Tan L H
AU - Vu, Thi Kim Oanh
AU - Ta, Ngoc Bach
AU - Vu, Dinh Lam
AU - Nguyen, Ha Anh
AU - Le, Anh-Tuan
PY - 2025
DA - 2025/02/13
PB - Royal Society of Chemistry (RSC)
SP - 4915-4925
IS - 7
VL - 15
SN - 2046-2069
ER -
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@article{2025_Dao Thi,
author = {Nguyet Nga Dao Thi and Quan Doan Mai and Linh H T Nguyen and Tan L H Doan and Thi Kim Oanh Vu and Ngoc Bach Ta and Dinh Lam Vu and Ha Anh Nguyen and Anh-Tuan Le},
title = {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},
journal = {RSC Advances},
year = {2025},
volume = {15},
publisher = {Royal Society of Chemistry (RSC)},
month = {feb},
url = {https://xlink.rsc.org/?DOI=D4RA07695H},
number = {7},
pages = {4915--4925},
doi = {10.1039/d4ra07695h}
}
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Dao Thi, Nguyet Nga, et al. “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.” RSC Advances, vol. 15, no. 7, Feb. 2025, pp. 4915-4925. https://xlink.rsc.org/?DOI=D4RA07695H.
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