生物启发的超水SERS基质用于机器学习辅助的miRNA检测,在复杂的生物质中,低于女性分子极限
A Zabelina1, A Trelin1, A Skvortsova1
1Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Analytica chimica acta
|September 14, 2023
概括
这项研究引入了一种先进的表面增强拉曼光谱 (SERS) 方法,用于检测血中与癌症相关的microRNA-21. 该技术利用仿生基质和机器学习来实现高度敏感和可靠的女性水平检测.
科学领域:
- 分析化学 分析化学
- 生物医学工程 生物医学工程
- 频谱学是一种光谱学.
背景情况:
- 表面增强的拉曼光谱 (SERS) 为分子检测提供了高灵敏度,但与复杂的现实世界样本作斗争.
- 生物流体中的小分子可以干扰SERS分析,阻碍精确的分析物量化.
- 在血中检测癌症相关的microRNAs (miRNAs) 对于早期诊断至关重要,但由于背景噪音,这很有挑战性.
研究的目的:
- 开发一种先进的SERS方法,用于在人血中敏感且可靠地检测与癌症相关的miRNA-21.
- 在复杂的生物矩阵中克服SERS分析的局限性.
- 通过结合新基质设计和数据分析,实现miRNA-21的女性水平检测极限.
主要方法:
- 生物仿真SERS基板是使用蝶翅膀制造的,涂有黄金,并功能化为超水和水粘性特性.
- 通过最大限度地减少接触面积和利用基质超性,通过滴蒸发增强,实现了分析物的自我度.
- 一个机器学习模型被训练来解释来自miRNA-21复杂的SERS光谱在血背景的存在.
主要成果:
- 开发的SERS方法使得可靠和可重复的miRNA-21的定量检测成为可能.
- 检测极限低于女性口腔水平 (低至10−16M) 已实现.
- 该方法在复杂的人类血背景下成功检测了miRNA-21.
结论:
- 仿生SERS基质,调整的表面化学和机器学习的组合为分析复杂的生物样本提供了强大的工具.
- 这种先进的SERS策略显著提高了miRNA检测在临床环境中的灵敏度和可靠性.
- 开发的方法有望通过在血中敏感量化特定生物标志物的早期癌症诊断.
相关概念视频
01:22MicroRNAs
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
01:22MicroRNAs
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
01:17Microbial Biosensors
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...