首页|基于基质辅助激光解吸电离质谱(MALDI-MS)的疾病标志物筛查与鉴定——仪器分析综合实验教学改革

基于基质辅助激光解吸电离质谱(MALDI-MS)的疾病标志物筛查与鉴定——仪器分析综合实验教学改革

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本研究旨在开发一种新型开放探索型实验,并将其融入到本科生的综合实验教学中.该实验采用基质辅助激光解吸电离质谱(MADLI-MS)技术,用于疾病标志物的筛查与鉴定,在实验中,我们选择α-氰基-4-羟基肉桂酸(CHCA)作为有机基质,首先研究了点样方式对实验结果的影响.接着,我们使用5种代谢小分子来验证基质的适用性.然后,我们从健康人和心血管疾病患者中提取了特异性的血清代谢指纹图谱(SMPs),通过对大数据进行多元统计分析,建立了一个用于心血管疾病诊断的MALDI-MS平台,并成功地将其应用于健康人和患者的区分.这种模式的目标是创建一个将实验教学和科研工作相结合的开放探索型平台,使学生在实验过程中不仅能学习和掌握MADLI-MS的原理、操作和数据分析,还能培养他们的科研创新能力和综合思维能力.
Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry(MALDI-MS)for Disease Marker Screening and Identification:A Comprehensive Experiment Teaching Reform in Instrumental Analysis
This study aims to develop an innovative open-ended exploratory experiment that integrates research into undergraduate laboratory teaching by utilizing Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry(MALDI-MS)technology for disease biomarker screening and identification.In this experiment,α-cyano-4-hydroxycinnamic acid(CHCA)was chosen as the organic matrix,and an initial investigation examined the effect of different sampling methods on experimental results.The suitability of the matrix was further validated using five different small metabolic molecules.Specific serum metabolic fingerprints(SMPs)were then extracted from healthy individuals and patients with cardiovascular diseases.By applying multivariate statistical analysis to large-scale data,a MALDI-MS platform was developed for the diagnosis of cardiovascular diseases,successfully distinguishing between healthy individuals and patients.The goal of this approach is to create an open and exploratory platform that combines experimental teaching with scientific research,enabling students to learn and master the principles,operations,and data analysis techniques of MALDI-MS while enhancing their research innovation capabilities and comprehensive thinking skills.

Matrix-assisted laser desorption ionization mass spectrometryDisease screeningCardiovascular diseaseTeaching experiment

林子俺、靳迎雪

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福州大学化学学院,福州 350108

基质辅助激光解吸电离质谱 疾病筛查 心血管疾病 教学实验

2024

大学化学
北京大学 中国化学会

大学化学

影响因子:0.636
ISSN:1000-8438
年,卷(期):2024.39(11)