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A tunable LDI-MS platform assisted by metal-phenolic network-coated AuNPs for sensitive and customized detection of amino acids

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资源类型：
Pubmed体系：
作者：
Hu Tong[1,2] ; Sang Qi[1,2] ; Liang Dingyitai[1,2] ; Zhang Wenjing[3] ; Wang Yuning[1,2,*1] ; Qian Kun[1,2,*1] ;
机构： [1]State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China [2]Shanghai Jiao Tong University Sichuan Research Institute, Chengdu, 610213, PR China [3]College of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot, Inner Mongolia, 010021, PR China
出处：
DOI： 10.1016/j.talanta.2024.126928
ISSN：

关键词： Metabolite Amino acid Metal-phenolic network AuNPs Histidine detection LDI-MS

摘要：
This study introduces a novel approach for the sensitive and accurate detection of small molecule metabolites, employing metal-phenolic network (MPN) functionalized AuNPs as both adsorbent and matrix to enhance laser desorption/ionization mass spectrometry (LDI-MS) performance. The MPN comprising tannic acid (TA) and transition metal ions (Fe3+, Co2+, Ni2+, Cu2+, or Zn2+) was coated on the surface of AuNPs, forming metal-TA network-coated AuNPs (M-TA@AuNPs). The M-TA@AuNPs provided a tunable surface for specific interactions with analytes, displaying distinct enrichment efficacies for different amino acids, especially for Cu-TA@AuNPs exhibiting the highest affinity for histidine (His). Under the optimized condition, the proposed method enabled ultrasensitive detection of His, with good linearity (R2 = 0.9627) in the low-concentration range (50 nM-1 μM) and a limit of detection (LOD) as low as 0.9 nM. Furthermore, the method was successfully applied to detect His from human urine samples, showcasing its practical applications in clinical diagnostics, particularly in the realm of amino acid-based targeted metabolomics.Copyright © 2024. Published by Elsevier B.V.

基金：
This work was financially supported by NSFC (22204103, 82421001), MOST (2022YFC2502800), Medical-Engineering Joint Funds of Shanghai Jiao Tong University (YG2021ZD09, YG2023QNA12, YG2023ZD08, YG2024ZD07), Shanghai Jiao Tong University Inner Mongolia Research Institute (2022XYJG0001-01-16), Sichuan Science and Technology Program (2024YFHZ0176), Innovative Research Team of High-Level Local Universities in Shanghai (SHSMU-ZDCX20210700), and Project 2021-01-07-00-02-E00083 by Shanghai Institutions of Higher Learning. This work was also sponsored by Science and Technology Commission of Shanghai Municipality (2021SHZDZX, 20DZ2220400), and Innovation Group Project of Shanghai Municipal Health Commission (2022JC013, 2019CXJQ03).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类 | 1 区 化学
小类 | 1 区 分析化学
最新[2023]版：
大类 | 1 区 化学
小类 | 1 区 分析化学
第一作者：
第一作者机构： [1]State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China [2]Shanghai Jiao Tong University Sichuan Research Institute, Chengdu, 610213, PR China
通讯作者：
通讯机构： [1]State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China [2]Shanghai Jiao Tong University Sichuan Research Institute, Chengdu, 610213, PR China [*1]State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China
推荐引用方式(GB/T 7714)：
Hu Tong,Sang Qi,Liang Dingyitai,et al.A tunable LDI-MS platform assisted by metal-phenolic network-coated AuNPs for sensitive and customized detection of amino acids[J].Talanta.2024,281:126928.doi:10.1016/j.talanta.2024.126928.
APA：
Hu Tong,Sang Qi,Liang Dingyitai,Zhang Wenjing,Wang Yuning&Qian Kun.(2024).A tunable LDI-MS platform assisted by metal-phenolic network-coated AuNPs for sensitive and customized detection of amino acids.Talanta,281,
MLA：
Hu Tong,et al."A tunable LDI-MS platform assisted by metal-phenolic network-coated AuNPs for sensitive and customized detection of amino acids".Talanta 281.(2024):126928

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