Confocal Fluorescence Microscopic Imaging for Investigating the Analyte Distribution in MALDI Matrices

作者
Yuqin Dai,Randy M. Whittal,Liang Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:68 (15): 2494-2500 被引量:125
标识
DOI:10.1021/ac960238z
摘要

The analytical performance of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry is strongly influenced by the method of analyte and matrix preparation. We report a nonintrusive method based on laser confocal microscopic imaging technology to examine the MALDI samples prepared by various protocols. In this method, the analyte is tagged with a fluorescent group. The matrix and analyte are prepared under the same conditions as those used in conventional MALDI experiments. It is demonstrated that confocal microscopy can provide clear, three-dimensional images of sample crystals as well as the analyte distribution within the crystals. It is shown that the analyte is incorporated into the matrix crystals for all the sample preparation protocols examined. Moreover, the confocal microscopic images reveal that, with the use of a dried-droplet method for sample/matrix preparation, the analyte is not uniformly distributed within the matrix crystals. In some crystals, no analyte is incorporated. In addition, it is found that large crystals formed using a slow growth process display a more uniform analyte distribution. Relatively more uniform analyte distribution is observed for samples prepared with the formation of microcrystals. The possible correlation between the ion signal variations observed in MALDI and the uniformity of the analyte distribution obtained by the confocal microscopic imaging method is discussed. Finally, a double-imaging method involving the use of two analytes with different labeling groups is demonstrated. It is found that different analytes are not coherently distributed in the matrix crystals.

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
刚刚
刚刚
SciGPT应助晚安采纳,获得10
1秒前
1秒前
嘟嘟完成签到,获得积分10
1秒前
大模型应助无聊的黎采纳,获得10
1秒前
3秒前
3秒前
小麦子完成签到,获得积分10
3秒前
3秒前
4秒前
lll发布了新的文献求助10
4秒前
美丽涵柏发布了新的文献求助10
4秒前
傲娇老五发布了新的文献求助10
4秒前
5秒前
5秒前
wjx发布了新的文献求助10
5秒前
豆豆完成签到,获得积分20
6秒前
诸葛傲丝应助姜有明采纳,获得10
6秒前
yanlibiu发布了新的文献求助10
6秒前
稳重严青发布了新的文献求助30
7秒前
7秒前
缙云山2020完成签到,获得积分10
7秒前
7秒前
科目三应助xiaolizi采纳,获得10
7秒前
欣喜的莫茗完成签到 ,获得积分20
7秒前
哈哈完成签到,获得积分20
7秒前
布丁完成签到,获得积分10
7秒前
jeopardy完成签到,获得积分10
8秒前
9秒前
小趴菜发布了新的文献求助10
9秒前
顾建瑜发布了新的文献求助10
9秒前
10秒前
深情安青应助leo采纳,获得10
10秒前
hhc发布了新的文献求助10
10秒前
10秒前
11秒前
公爵发布了新的文献求助10
11秒前
11秒前
小森发布了新的文献求助10
11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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7350266
求助须知:如何正确求助?哪些是违规求助? 8961944
关于积分的说明 19035884
捐赠科研通 6999893
什么是DOI,文献DOI怎么找? 3220881
关于科研通互助平台的介绍 2385638
邀请新用户注册赠送积分活动 2201284