常压敞开式质谱成像技术及其应用

质谱成像将质谱的离子扫描技术与成像处理软件相结合,能有效地对分子的空间分布信息进行检测和成像;常压敞开式离子化技术的出现,为质谱成像提供了新的发展方向。本文对常压敞开式质谱成像技术及其应用进行了综述。     

基于非负分解方法的质谱成像数据特征提取

质谱成像技术能够在同一个实验里无需标记手段而获得样品表面的分子信息及其分布信息,是当前质谱分析的热点.其分析所得数据量大且复杂,使其特征难以提取.多元统计分析方法,特别是主成分分析法已应用于质谱成像数据的压缩和特征提取.然而由于主成分分析常产生负的数据结果,其意义难以解释且不易分解为单一的特征.本研究开发出一种基于非负分解的质谱成像数据提取方法,能够提取单一的分子特征及其在样品上的分布特征,并将多个单一的特征分布通过红、绿、蓝三色叠加显示,获得轮廓直观的综合特征分布.应用本方法对小鼠脑组织切片质谱成像数据进行分析,可直观分解出灰质区域、白质区域和背景区域,相对主成分分析方法更直观且易于解释.应用本方法对在同一个样品靶上的人膀胱癌变组织和其相邻非癌变组织切片质谱成像数据进行分析,癌变与非癌变组织间差异清晰直观.本研究设计的质谱成像软件可由http://www.msimaging.net获取.     

质谱成像技术在肿瘤研究中的应用进展

质谱成像(Mass spectrometry imaging,MSI)作为一种新型的分子成像技术,具有无需标记、无需复杂样品前处理、高通量等优点,可实现脂类、代谢物等的直接分析,并可获得组织切片中物质的空间分布信息,已成为生物、医学等领域研究的有力工具。离子化技术是质谱成像的关键和核心,新型质谱成像离子化技术的不断涌现,推动了质谱成像技术在肿瘤研究中的应用。该文着重介绍了当前主要质谱成像技术的原理及特点,并对其在肿瘤的病理诊断、标志物、药物研究等方面的应用进行评述,为质谱成像技术在肿瘤方面的研究提供参考。     

基于质谱成像和组学分析的环境毒理研究

生物体多器官的空间异质性导致环境污染物在生物体内的毒性分子机制错综复杂。基于传统化学和生物分析的环境毒理学研究,通常将研究对象看作“均一”整体,无法从空间上准确定位污染物及其代谢。以质谱成像和组学分析为基础的技术,同时对污染物、污染物代谢活化途径及其诱导的生物分子进行定性、定量和空间分析,从而确定污染物迁移、生物学效应及其毒性作用的靶器官,是目前最有前景的分析方法之一。本文综述了质谱成像和组学研究策略和特征,介绍了本课题组在相关领域取得的研究进展。同时简单展望了单细胞质谱成像、微流控芯片-质谱成像联合策略等先进技术在环境毒理研究中的潜在应用。     

复杂样品质谱分析技术的原理与应用

原位、实时、在线、非破坏、高通量、低耗损的质谱学方法是质谱分析技术发展的重要趋势.在无需样品预处理的条件下对复杂基体样品中痕量待测物直接离子化技术的出现,极大地提高了质谱分析的效率,使实际样品的快速质谱分析成为可能.本文着重综述了能够在无需样品预处理情况下对复杂基体样品离子化的新兴质谱技术及其应用研究,系统阐述了直接离子化技术的基本原理和方法,介绍了几种典型的常压直接离子化技术和装置,对直接离子化质谱分析技术在食品、药品、环境、活体分析、代谢组学、蛋白质组学以及生物组织质谱成像等领域的典型应用进行了述评,讨论了提高复杂样品快速质谱分析选择性的可能方法,并展望了常压直接离子化技术未来发展的可能趋势.     

成像技术在食品安全与质量控制中的研究进展

食品质量与安全是政府、食品行业以及消费者十分关注的问题。为了保证食品质量与安全，需要对食品中的风险因子进行检测。传统的分析方法如生物化学方法和仪器分析方法（色谱法、色谱-质谱法）存在前处理比较复杂，耗时，对样品具有破坏性及无法获取目标物空间信息等缺点。因此，开发快速，无损，实时和可视化的检测技术十分重要，这也是食品领域研究的热点。近年来，高光谱成像技术融合了成像和光谱两种技术，可以作为一种用于食品质量和安全评估的非破坏性和实时检测的工具。拉曼光谱成像技术可以同时获得待测物的光谱和空间信息，具有快速，无损和低成本等优点，在食品安全评价和质量控制中也得到了成功应用。质谱成像技术不需要标记和染色，即可实现样品组织表面待测物的可视化和高通量分析。它作为一种分子可视化技术，可以获得食品中营养成分及内、外源性有害物质的空间分布信息，在食品领域也表现出良好的应用前景。本文检索了近几年国内外发表的成像技术在食品研究中的相关文献，介绍了高光谱成像技术、拉曼光谱成像技术和质谱成像技术的原理，并综述了它们在食品安全与质量控制中的应用。此外，本文分析和讨论了这几种成像技术的优缺点，并对成像技术在食品领域的发展前景做出了展望。     

Advances 0n Analysis of Triacylglycerols in Edible Oil Based on Mass Spectrometric Method

该文对质谱鉴定技术及其与色谱联用的分析方法(包括直接进样质谱分析、气相色谱质谱联用技术、超临界流体与质谱联用技术和液相色谱质谱联用技术)在甘油三酯分析方面的应用进行了综述,评述了各类分析方法的优缺点,对常用的脂质分析数据库进行了介绍,并对甘油三酯分析方法的发展及应用作了展望.     

质谱分析技术在纺织品检测方面的应用

介绍纺织品中有害物质标准检测方法中质谱分析技术的应用,概述了气相色谱-质谱联用、高效液相色谱-质谱联用和电感耦合等离子体-质谱联用技术在纺织品检测方面的广泛应用及其发展前景.     

离子阱颗粒质谱研究进展

随着质谱技术的不断发展,对超高质量颗粒物质的分析已经成为质谱领域研究的一个重要方向.离子阱颗粒质谱(particle ion trap mass spectrometry)作为用于完整颗粒质量分析的有利工具,拓展了质谱技术在巨大颗粒物质量分析中的应用范围.本文对离子阱颗粒质谱仪器的研究进展及其在各个领域的应用进行了综述,并展望了离子阱颗粒质谱未来的发展趋势.     

中药质谱分析方法及应用研究

分别从中药成分分析、活性筛选和代谢组学三方面对质谱技术在中药研究中的应用进展进行了全面综述.在中药成分分析方面,重点介绍了寡糖异构体的分析方法,以及质谱指纹图谱技术在中药成分分析及质量控制中的应用;在活性筛选方面,分别介绍了超滤-质谱、细胞膜色谱-质谱、微透析-质谱、亲和色谱-质谱、强度衰减质谱、修饰琼脂糖珠-质谱和直接分析质谱等技术及其应用;在代谢组学研究方面,对中药治疗肝损伤、肾虚、心肌梗死和糖尿病等疾病方面的研究进展进行了阐述.上述内容充分反映了质谱技术在中药创新性研究中的重要性.     

Micro-Lensed Fiber Laser Desorption Mass Spectrometry Imaging Reveals Subcellular Distribution of Drugs within Single Cells

The visualization of temporal and spatial changes in the intracellular environment has great significance for chemistry and bioscience research. Mass spectrometry imaging (MSI) plays an important role because of its unique advantages, such as being label-free and high throughput, yet it is a challenge for laser-based techniques due to limited lateral resolution. Here, we develop a simple, reliable, and economic nanoscale MSI approach by introducing desorption laser with a micro-lensed fiber. Using this integrated platform, we achieved 300 nm resolution MSI and successfully visualized the distribution of various small-molecule drugs in subcellular locations. Exhaustive dynamic processes of anticancer drugs, including releasing from nanoparticle carriers entering nucleus of cells, can be readily acquired on an organelle scale. Considering the simplicity and universality of this nanoscale desorption device, it could be easily adapted to most of laser-based mass spectrometry applications.     

Micro‐Lensed Fiber Laser Desorption Mass Spectrometry Imaging Reveals Subcellular Distribution of Drugs within Single Cells

The visualization of temporal and spatial changes in the intracellular environment has great significance for chemistry and bioscience research. Mass spectrometry imaging (MSI) plays an important role because of its unique advantages, such as being label‐free and high throughput, yet it is a challenge for laser‐based techniques due to limited lateral resolution. Here, we develop a simple, reliable, and economic nanoscale MSI approach by introducing desorption laser with a micro‐lensed fiber. Using this integrated platform, we achieved 300 nm resolution MSI and successfully visualized the distribution of various small‐molecule drugs in subcellular locations. Exhaustive dynamic processes of anticancer drugs, including releasing from nanoparticle carriers entering nucleus of cells, can be readily acquired on an organelle scale. Considering the simplicity and universality of this nanoscale desorption device, it could be easily adapted to most of laser‐based mass spectrometry applications.     

Laser Desorption/Ionization Mass Spectrometry Imaging: A New Tool to See through Nanoscale Particles in Biological Systems

Understanding the fate of nanoscale particles (NPs) in biological systems is significant with the increasing risk for human exposure. Recent research endeavors in laser desorption/ionization mass spectrometry imaging (LDI-MSI) have enriched the toolbox for evaluation of NPs’ behavior in biological tissues, especially in aspects including sub-organ bio-distribution, clearance, quantification and surface chemistry variation analysis. In recognition of the potential for advancement in LDI MSI, this concept provides a brief overview of recent research works in LDI MSI for NPs, illustrates new applications that demonstrate the superiority of this technique, and highlights a series of perspectives and directions to move the field forward.     

Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Imaging Source Coupled to a FT-ICR Mass Spectrometer

Mass spectrometry imaging (MSI) allows for the direct monitoring of the abundance and spatial distribution of chemical compounds over the surface of a tissue sample. This technology has opened the field of mass spectrometry to numerous innovative applications over the past 15 years. First used with SIMS and MALDI MS that operate under vacuum, interest has grown for mass spectrometry ionization sources that allow for effective imaging but where the analysis can be performed at ambient pressure with minimal or no sample preparation. We introduce here a versatile source for MALDESI imaging analysis coupled to a hybrid LTQ-FT-ICR mass spectrometer. The imaging source offers single shot or multi-shot capability per pixel with full control over the laser repetition rate and mass spectrometer scanning cycle. Scanning rates can be as fast as 1 pixel/second and a spatial resolution of 45 μm was achieved with oversampling.

Mobility-Modulated Sequential Dissociation Analysis Enables Structural Lipidomics in Mass Spectrometry Imaging

Spatial lipidomics based on mass spectrometry imaging (MSI) is a powerful tool for fundamental biology studies and biomarker discovery. But the structure-resolving capability of MSI is limited because of the lack of multiplexed tandem mass spectrometry (MS/MS) method, primarily due to the small sample amount available from each pixel and the poor ion usage in MS/MS analysis. Here, we report a mobility-modulated sequential dissociation (MMSD) strategy for multiplex MS/MS imaging of distinct lipids from biological tissues. With ion mobility-enabled data-independent acquisition and automated spectrum deconvolution, MS/MS spectra of a large number of lipid species from each tissue pixel are acquired, at no expense of imaging speed. MMSD imaging is highlighted by MS/MS imaging of 24 structurally distinct lipids in the mouse brain and the revealing of the correlation of a structurally distinct phosphatidylethanolamine isomer (PE 18 : 1_18 : 1) from a human hepatocellular carcinoma (HCC) tissue. Mapping of structurally distinct lipid isomers is now enabled and spatial lipidomics becomes feasible for MSI.     

Mass spectrometric imaging of synthetic polymers

The analysis of synthetic polymers represents today an important part of polymer science to determine their physical properties and to optimize the performance of polymeric materials for block copolymers as well as blend systems. The characterization can easily and rapidly be performed by mass spectrometry. In particular, the film formation of a synthetic polymer is of interest in material research and quality control, which can be determined by employing mass spectrometric imaging (MSI) using secondary ion mass spectrometry (SIMS) or matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. MALDI-MSI has been rapidly improved for the analysis of tissue cross-sections due to its soft ionization and accessible m/z range, which both also play an important role in polymer science. On the other hand, SIMS-MSI enables a sub-micrometer molecular spatial resolution, which is limited in MALDI-MSI due to the spatial resolution capabilities of the laser desorption process. The aim of the present contribution is to summarize recent advances in both imaging techniques for the analysis of synthetic polymers and to highlight their capabilities to correlate several imaging modalities in future applications.     

A critical evaluation of the current state-of-the-art in quantitative imaging mass spectrometry

Mass spectrometry imaging (MSI) has evolved into a valuable tool across many fields of chemistry, biology, and medicine. However, arguably its greatest disadvantage is the difficulty in acquiring quantitative data regarding the surface concentration of the analyte(s) of interest. These difficulties largely arise from the high dependence of the ion signal on the localized chemical and morphological environment and the difficulties associated with calibrating such signals. The development of quantitative MSI approaches would correspond to a giant leap forward for the field, particularly for the biomedical and pharmaceutical fields, and is thus a highly active area of current research. In this review, we outline the current progress being made in the development and application of quantitative MSI workflows with a focus on biomedical applications. Particular emphasis is placed on the various strategies used for both signal calibration and correcting for various ion suppression effects that are invariably present in any MSI study. In addition, the difficulties in validating quantitative-MSI data on a pixel-by-pixel basis are highlighted.

Sample preparation for mass spectrometry imaging of leaf tissues: a case study on analyte delocalization

Analytical and Bioanalytical Chemistry - Appropriate sample preparation is pivotally important to obtain high-quality mass spectrometry imaging (MSI) data. Unlike mammalian tissues, preparation of...     

MALDI imaging directed laser ablation tissue microsampling for data independent acquisition proteomics

A multimodal workflow for mass spectrometry imaging was developed that combines MALDI imaging with protein identification and quantification by liquid chromatography tandem mass spectrometry (LC‐MS/MS). Thin tissue sections were analyzed by MALDI imaging, and the regions of interest (ROI) were identified using a smoothing and edge detection procedure. A midinfrared laser at 3‐μm wavelength was used to remove the ROI from the brain tissue section after MALDI mass spectrometry imaging (MALDI MSI). The captured material was processed using a single‐pot solid‐phase‐enhanced sample preparation (SP3) method and analyzed by LC‐MS/MS using ion mobility (IM) enhanced data independent acquisition (DIA) to identify and quantify proteins; more than 600 proteins were identified. Using a modified database that included isoform and the post‐translational modifications chain, loss of the initial methionine, and acetylation, 14 MALDI MSI peaks were identified. Comparison of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the identified proteins was achieved through an evolutionary relationships classification system.