|
1
|
Chen K, Ma C, Chen G, Yang T, Gao H, Li L, Yang Z, Cao J, Zheng C, Ma L. SERS substrate based on COF@Ag for detecting amoxicillin in honey and lake water. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 313:124165. [PMID: 38493514 DOI: 10.1016/j.saa.2024.124165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/04/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
This study presents the design of a Surface-enhanced Raman scattering (SERS) substrate, COF@Ag, for the sensitive detection of Amoxicillin (AMX) in lake water and honey. Furthermore, the study investigates the role of covalent organic frameworks (COFs) in SERS detection. The characterization results demonstrate the capability of COFs to efficiently enrich Ag nanoparticles (AgNPs), resulting in a more concentrated distribution of hotspots and an enhanced electromagnetic field on the substrate. By employing density functional theory (DFT) simulation, the frontier electronic orbitals of COFs and AMX were analyzed, and the chemical bonds and weak interactions in the system were examined using the Interaction Region Indicator (IRI) method to propose potential enhancement mechanisms. In aqueous solutions, the linear range is 1 μg/L-30 μg/L, with a limit of detection (LOD) 0.279 μg/L. In lake water, the linear range span from 100 μg/L to 500 μg/L, with a detection limit of 8.244 μg/L. For honey, the linear range extend from 20 ng/g to 100 ng/g, with a detection limit of 2.917 ng/g. This method holds key significance in facilitating the rapid detection of amoxicillin and advancing the application of COFs in SERS.
Collapse
Affiliation(s)
- Kun Chen
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China.
| | - Guoqing Chen
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Taiqun Yang
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Hui Gao
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Lei Li
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Zichen Yang
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China; School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jun Cao
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Chenkai Zheng
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Longyao Ma
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| |
Collapse
|
|
2
|
Lu X, Yan L, Zhou X, Qu T. Highly selective colorimetric determination of glutathione based on sandwich-structured nanoenzymes composed of gold nanoparticle-coated molecular imprinted metal-organic frameworks. Mikrochim Acta 2024; 191:140. [PMID: 38363397 DOI: 10.1007/s00604-023-06167-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/21/2023] [Indexed: 02/17/2024]
Abstract
A sandwich-structured composite nanoenzyme (NH2-MIL-101(Fe)@Au@MIP) was prepared using molecularly imprinted polymers, metal-organic frameworks, and gold nanoparticles and a highly selective glutathione (GSH) colorimetric sensor was constructed. The inner part of the composite nanoenzymes is a metal-organic framework loaded with gold nanoparticles (AuNPs), NH2-MIL-101(Fe)@Au, which has superior peroxidase-like activity compared with NH2-MIL-101(Fe). This is due to the surface plasmon resonance effect of AuNPs. GSH can form strong Au-S bonds with AuNPs, which can significantly reduce the enzymatic activity of NH2-MIL-101(Fe)@Au, thereby changing the absorbance at 450 nm of the sensing system. The degree of change in absorbance is correlated with the concentration of GSH. In the outer part, the molecularly imprinted polymer with oxidized glutathione (GSSG) as a dummy template provided specific pores, which significantly improved the selectivity of the sensing system. The sensor showed good GSH sensing performance in the range 1 ~ 50 μM with a lower limit of detection (LOD) of 0.231 μM and good sensing performance in fetal bovine serum, indicating its high potential for clinical diagnostic applications.
Collapse
Affiliation(s)
- Xiaolin Lu
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China
| | - Liqiu Yan
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China
| | - Xiaoxue Zhou
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China
| | - Tingli Qu
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China.
| |
Collapse
|
|
3
|
Cho HS, Noh MS, Kim YH, Namgung J, Yoo K, Shin MS, Yang CH, Kim YJ, Yu SJ, Chang H, Rho WY, Jun BH. Recent Studies on Metal-Embedded Silica Nanoparticles for Biological Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:268. [PMID: 38334538 PMCID: PMC10856399 DOI: 10.3390/nano14030268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/10/2024]
Abstract
Recently, silica nanoparticles (NPs) have attracted considerable attention as biocompatible and stable templates for embedding noble metals. Noble-metal-embedded silica NPs utilize the exceptional optical properties of novel metals while overcoming the limitations of individual novel metal NPs. In addition, the structure of metal-embedded silica NPs decorated with small metal NPs around the silica core results in strong signal enhancement in localized surface plasmon resonance and surface-enhanced Raman scattering. This review summarizes recent studies on metal-embedded silica NPs, focusing on their unique designs and applications. The characteristics of the metal-embedded silica NPs depend on the type and structure of the embedded metals. Based on this progress, metal-embedded silica NPs are currently utilized in various spectroscopic applications, serving as nanozymes, detection and imaging probes, drug carriers, photothermal inducers, and bioactivation molecule screening identifiers. Owing to their versatile roles, metal-embedded silica NPs are expected to be applied in various fields, such as biology and medicine, in the future.
Collapse
Affiliation(s)
- Hye-Seong Cho
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Mi Suk Noh
- Bio & Medical Research Center, Bio Business Division, Korea Testing Certification, Gunpo 15809, Gyeonggi-do, Republic of Korea;
| | - Yoon-Hee Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Jayoung Namgung
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Kwanghee Yoo
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Min-Sup Shin
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Cho-Hee Yang
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Young Jun Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Seung-Ju Yu
- Graduate School of Integrated Energy-AI, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
| | - Hyejin Chang
- Division of Science Education, Kangwon National University, Chuncheon 24341, Republic of Korea;
| | - Won Yeop Rho
- Graduate School of Integrated Energy-AI, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
| | - Bong-Hyun Jun
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| |
Collapse
|