适体
化学
检出限
滚动圆复制
电感耦合等离子体质谱法
粒子(生态学)
质谱法
胶体金
纳米技术
生物物理学
色谱法
纳米颗粒
分析化学(期刊)
DNA
分子生物学
生物化学
材料科学
地质学
海洋学
生物
DNA复制
作者
Xuewei Zhang,Gong-Xiang Qi,Shuai Chen,Yong‐Liang Yu,Jianhua Wang
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2024-06-21
卷期号:96 (26): 10800-10808
被引量:25
标识
DOI:10.1021/acs.analchem.4c02066
摘要
particles/mL. The pulse signals from sp-ICP-MS combined with machine learning algorithms are used to discriminate cancer patients from healthy donors with 100% accuracy. Due to its simple and fast operation and excellent sensitivity and accuracy, this approach holds significant potential for diverse applications in life sciences and personalized medicine.
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