B-154 Development and Evaluation of an Automated High-Throughput Magnetic Bead-Based pre-treatment Platform for Lipid-Soluble Vitamins in Clinical Mass Spectrometry

磁珠 有孔小珠 吞吐量 质谱法 化学 色谱法 计算机科学 材料科学 电信 复合材料 无线
作者
T Ma,Hu Liu,Yao He,Yuansheng Yang,Liwei Dong
出处
期刊:Clinical Chemistry [American Association for Clinical Chemistry]
卷期号:70 (Supplement_1)
标识
DOI:10.1093/clinchem/hvae106.514
摘要

Abstract Background Mass spectrometry has become a critical tool in clinical diagnostics due to its unparalleled sensitivity, specificity, and ability for multiplex analysis, redefining standards in small molecule detection. However, its efficacy is limited by complex sample preparation requirements, such as purification and enrichment. Traditional pre-treatment methods often involve labor-intensive, error-prone procedures that can dilute samples, thereby necessitating enhanced sensitivity in mass spectrometry. Addressing these challenges, we developed an automated, high-throughput pre-treatment platform using magnetic bead technology to streamline the preparation of small molecules for analysis via liquid chromatography-tandem mass spectrometry (LC-MS/MS). This study assesses the platform's effectiveness and reliability using lipid-soluble vitamins as a test case. Methods We developed a magnetic bead-based extraction process for lipid-soluble vitamins (Vitamins A, 25-hydroxyvitamin D2, 25-hydroxyvitamin D3, E, and K1) from clinical serum samples, utilizing Zybio's EXM3000 for automation. Protein-bound vitamins were dissociated using methanol and isopropanol, followed by magnetic bead extraction. The extracted vitamins underwent LC-MS/MS analysis. Comparative analysis with traditional liquid-liquid extraction methods, using 20 clinical samples and commercially available kits, evaluated this novel approach's analytical efficacy. Results The method showed excellent linearity (r > 0.99) for the target compounds. The imprecision ranged from 1.5% to 9.3%, and the accuracy (recovery rate) was between 91.5% and 113.4%. The limit of quantification, repeated six times, had a deviation of -8.5% to 13% and a CV of 1.5%-6.4%, meeting industry standards and EP document requirements. Comparisons with commercial kits in 20 clinical samples showed deviations within ±15%, and the 95% confidence interval for expected bias met the testing requirements. The method also demonstrated high correlation with the commercial kits, as evidenced by regression equations for Vitamin A: y = 0.9732x - 1.7985, 25-hydroxyvitamin D2: y = 1.0163x - 0.0055, 25-hydroxyvitamin D3: y = 1.0597x - 0.7968, Vitamin E: y = 1.0569x - 0.2917, and Vitamin K1: y = 1.0055x - 0.0039. Conclusions This study showed excellent performance of a novel automated high-throughput magnetic bead sample preparation platform for small molecules in clinical mass spectrometry. This technology overcomes the complexities associated with sample pre-treatment in clinical mass spectrometry and holds broad clinical application prospects in mass spectrometric analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
清秀映寒完成签到,获得积分10
2秒前
一二发布了新的文献求助10
3秒前
3秒前
3秒前
ding的应助被Allis采纳,获得10
5秒前
5秒前
宋小宝发布了新的文献求助20
6秒前
6秒前
7秒前
7秒前
lxhua的应助被虚心冰之采纳,获得10
7秒前
笔来关注了科研通微信公众号
8秒前
chijiadong发布了新的文献求助10
8秒前
8秒前
8秒前
如意的复天完成签到,获得积分20
8秒前
无私愚志发布了新的文献求助10
9秒前
周jx发布了新的文献求助10
9秒前
9秒前
Vme50完成签到,获得积分10
9秒前
lihuahui发布了新的文献求助10
10秒前
所所的应助被YAE采纳,获得30
11秒前
11秒前
我要积分发布了新的文献求助10
11秒前
伶俐绿柏发布了新的文献求助10
11秒前
11秒前
dailuoluo发布了新的文献求助10
12秒前
lu1020发布了新的文献求助10
12秒前
13秒前
于歓发布了新的文献求助10
13秒前
13秒前
CodeCraft的应助被123456采纳,获得10
13秒前
14秒前
14秒前
Wuzh完成签到 ,获得积分10
14秒前
15秒前
15秒前
鱼yuyu完成签到,获得积分10
16秒前
蔡小鸡完成签到,获得积分20
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Электротехническая система магнитожидкостной герметизации валов регулируемых электродвигателей 800
日本語と中国語及びチベット・ビルマ語の語源関連性に関する分析 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
The Basics of Practical Optimization, Second Edition 600
Practical Nonconvex Nonsmooth Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7975577
求助须知:如何正确求助?哪些是违规求助? 9439721
关于积分的说明 21064385
捐赠科研通 7552022
什么是DOI,文献DOI怎么找? 3374328
关于科研通互助平台的介绍 2509044
邀请新用户注册赠送积分活动 2407381