Covalent Bonding and Coulomb Repulsion-Guided AuNP Array: A Tunable and Reusable Substrate for Metabolomic Characterization of Lung Cancer Patient Sera

化学 共价键 表征(材料科学) 再现性 纳米颗粒 生物分子 纳米技术 分析化学(期刊) 有机化学 色谱法 材料科学 生物化学
作者
Yang Su,Xiaopin Lai,Kunbin Guo,Xin Wang,Siyu Chen,Kaiqing Liang,Keyuan Pu,Yue Wang,Jun Hu,Xiaolong Wei,Yuping Chen,Hongbiao Wang,Wen Lin,Wen‐Xiu Ni,Yan Lin,Janshon Zhu,Kwan‐Ming Ng
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (48): 16910-16918 被引量:6
标识
DOI:10.1021/acs.analchem.2c04319
摘要

Surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) has gained increased attention in the metabolic characterization of human biofluids. However, the stability and reproducibility of nanoparticle-based substrates remain two of the biggest challenges in high-salt environments. Here, by controlling the extent of Coulomb repulsion of 26 nm positively charged AuNPs, a homogeneous layer of covalently bonded AuNPs on a coverslip with tunable interparticle distances down to 16 nm has been successfully fabricated to analyze small biomolecules in human serum. Compared with the self-assembled AuNP array, the covalently bonded AuNP array showed superior performances on stability, reproducibility, and sensitivity in high-salt environments. The stable attachment of AuNPs maintained a detection reproducibility with a RSD less than 12% and enabled the reusability of the array for 10 experiments without significant signal deterioration (<15%) and carryover effects. Moreover, the closely positioned AuNPs allowed the coupling of photoinduced plasmons to generate an enhanced electric field, which promotes the generation of excited electrons to facilitate the desorption/ionization processes instead of the heat dissipation, thus enhancing the detection sensitivity with detection limits down to the femtomole level. Combined with machine learning methods, the AuNP array has been successfully applied to discover seven biomarkers for differentiating early-stage lung cancer patients from healthy controls. It is anticipated that this simple approach of developing robust AuNP arrays can also be extended to other types of NP arrays for wider applications of SALDI-MS technology.
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