化学
电感耦合等离子体质谱法
纳米颗粒
分辨率(逻辑)
质谱法
分析化学(期刊)
纳米技术
色谱法
计算机科学
人工智能
材料科学
作者
Wenhe Luo,Fengliang Dong,Meng Wang,Tao Li,Yun Wang,Wanqin Dai,Junzhe Zhang,Chunlei Jiao,Zhuda Song,Jiaqi Shen,Yuhui Ma,Yayun Ding,Fang Yang,Zhiyong Zhang,Xiao He
标识
DOI:10.1021/acs.analchem.3c00028
摘要
The development of nanotechnology has transformed many cutting-edge studies related to single-molecule analysis into nanoparticle (NP) detection with a single-NP sensitivity and ultrahigh resolution. While laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been successful in quantifying and tracking NPs, its quantitative calibration remains a major challenge due to the lack of suitable standards and the uncertain matrix effects. Herein, we frame a new approach to prepare quantitative standards via precise synthesis of NPs, nanoscale characterization, on-demand NP distribution, and deep learning-assisted NP counting. Gold NP standards were prepared to cover the mass range from sub-femtogram to picogram levels with sufficient accuracy and precision, thus establishing an unambiguous relationship between the sampled NP number in each ablation and the corresponding mass spectral signal. Our strategy facilitated for the first time the study of the factors affecting particulate sample capture and signal transductions in LA-ICP-MS analysis and culminated in the development of an LA-ICP-MS-based method for absolute NP quantification with single-NP sensitivity and single-cell quantification capability. The achievements would herald the emergence of new frontiers cut across a spectrum of toxicological and diagnostic issues related to NP quantification.
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