Article
Chemistry, Multidisciplinary
Ouyang Dan, Chuanzhe Wang, Chao Zhong, Juan Lin, Gang Xu, Guane Wang, Zian Lin
Summary: In this study, novel LDI-MS substrates were designed to enhance the sensitivity of mass signals and achieve high accuracy diagnosis of different saccharides and central precocious puberty (CPP).
Review
Biochemical Research Methods
Lanaia Itala Louzeiro Maciel, Ricardo Alves Bernardo, Rafael Oliveira Martins, Almir Custodio Batista Jr, Joao Victor Ataide Oliveira, Andrea Rodrigues Chaves, Boniek Gontijo Vaz
Summary: The imaging of biological tissues using mass spectrometry imaging (MSI) techniques allows for the visualization of the distribution of various metabolites, drugs, lipids, and glycans in complex samples. MSI methods like DESI-MSI and MALDI-MSI provide high sensitivity and the ability to evaluate/visualize multiple analytes in a single sample, overcoming limitations of classical microscopy techniques. This review discusses the application of DESI-MSI and MALDI-MSI in evaluating exogenous and endogenous molecules in biological samples, providing technical insights and recent research findings.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Hua Zhang, Lin Zhao, Jingjing Jiang, Jie Zheng, Li Yang, Yanyan Li, Jian Zhou, Tianshu Liu, Jianmin Xu, Wenhui Lou, Weige Yang, Lijie Tan, Weiren Liu, Yiyi Yu, Meiling Ji, Yaolin Xu, Yan Lu, Xiaomu Li, Zhen Liu, Rong Tian, Cheng Hu, Shumang Zhang, Qinsheng Hu, Yangdong Deng, Hao Ying, Sheng Zhong, Xingdong Zhang, Yunbing Wang, Hua Wang, Jingwei Bai, Xiaoying Li, Xiangfeng Duan
Summary: As cancer is increasingly seen as a metabolic disorder, serum metabolite profiling is proposed as a viable method for detecting cancer. In this study, a machine learning model using mass spectrometry-based liquid biopsy data is reported for pan-cancer screening and classification. The Multiplexed Nanomaterial-Assisted LDI for Cancer Identification (MNALCI) achieves high sensitivity and specificity for distinguishing cancers from healthy controls and accurately identifying the tissue of origin of tumors. This high throughput assay shows promising potential for non-invasive cancer diagnosis.
NATURE COMMUNICATIONS
(2022)
Article
Plant Sciences
Yukun Liu, Xiaofei Nie, Jilong Wang, Zhenqi Zhao, Zhimei Wang, Fang Ju
Summary: Flavonoids in litchi seeds have broad-spectrum antiviral and antitumor activities, especially against breast and liver cancers. MALDI-MSI was used to detect and image the distribution of flavonoids in litchi seed tissue sections for the first time, revealing their heterogeneous distribution and potential for extraction.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Chi-Sheng Chen, Wen-Chi Chen, Sarah Y. Chang
Summary: A new mode of electromembrane extraction (EME) has been developed for detection via matrix-assisted laser desorption/ionization mass spectrometry (MALDI/MS). The method successfully extracted and analyzed posaconazole, and was applied to human serum samples.
Article
Food Science & Technology
Qi Wang, Xiaohui Li, Hongping Wang, Simeng Li, Chen Zhang, Xueying Chen, Jing Dong, Hua Shao, Jing Wang, Fen Jin
Summary: A matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) method was developed to obtain dynamic images of forchlorfenuron in oriental melons. The majority of forchlorfenuron was found in the exocarp and mesocarp regions of the melons and decreased within two days after application. The degradation rate obtained by MALDI-MSI was reliable and comparable to HPLC-MS/MS, indicating its practicability for pesticide degradation study.
Article
Chemistry, Applied
Suying Li, Tsz-Tsun Ng, Zhong-Ping Yao
Summary: This study developed a new method using MALDI-MS and PLS-R to quantitate triacylglycerols in blended oils, allowing simultaneous quantitation of multiple compositions with good limits of detection. The new method enables direct analysis of blended oils, rapid analysis of samples, and accurate quantitation of low-abundance oil compositions and blended oils with similar fatty acid contents, compared to conventional methods.
Article
Chemistry, Analytical
Frederic Fournelle, Nidia Lauzon, Ethan Yang, Pierre Chaurand
Summary: Traditionally, MALDI IMS requires the deposition of an organic matrix, which often generates high background noise in the low mass range. LDI offers selective ionization with low background in the low mass range. This article discusses the advantages and disadvantages of solvent free and wet deposition of metals as LDI matrices and demonstrates the power of metal-assisted LDI for analyzing low molecular weight molecules in tissue sections.
MICROCHEMICAL JOURNAL
(2023)
Article
Microbiology
Anil K. Persad, Hanan A. Fahmy, Nicholas Anderson, Jing Cui, Zeynal Topalcengiz, Saharuetai Jeamsripong, Patrick M. Spanninger, Robert L. Buchanan, Kalmia E. Kniel, Michele T. Jay-Russell, Michelle D. Danyluk, Gireesh Rajashekara, Jeffrey T. LeJeune
Summary: This study demonstrates that MALDI-TOF is a viable alternative for the rapid identification and differentiation of Salmonella serovars.
Article
Nanoscience & Nanotechnology
Peiqi Luo, Liping Wang, Lixia Jiang, Jie Sun, Yafeng Li, Huihui Liu, Caiqiao Xiong, Zongxiu Nie
Summary: Graphdiyne, a new carbon nanomaterial, has been utilized as a matrix in laser desorption ionization mass spectrometry for small molecule analysis, showing enhanced desorption and ionization efficiency. The use of Graphdiyne in LDI MS analysis can potentially improve the early diagnosis of liver cancer by identifying fatty acids as potential biomarkers.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Multidisciplinary Sciences
Gabriel R. Martins, Felipe L. Brum, Davi Marconi Miranda Carvalho da Silva, Livia C. Barbosa, Ronaldo Mohana-Borges, Ayla Sant'Ana da Silva
Summary: Matrix-assisted laser desorption/ionization-imaging mass spectrometry (MALDI-IMS) is a valuable technique for identifying compounds and understanding their physiological information in plant tissues. Researchers have developed a sample preparation protocol to obtain thin sections of hard seeds, enabling molecular mapping by MALDI-IMS. This method has the potential to be a valuable tool for studying the morphology, anatomy, and physiology of botanical materials.
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
(2023)
Review
Spectroscopy
Wendy H. Mueller, Alexandre Verdin, Edwin De Pauw, Cedric Malherbe, Gauthier Eppe
Summary: Surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) is a technique that uses nanostructured substrates to promote the desorption/ionization of analytes, allowing for both untargeted and targeted analysis. This review focuses on SALDI-MS imaging (SALDI-MSI), discussing the nomenclature, fundamental mechanisms, analytical strategies, and applications in various fields. SALDI-MSI has strengths and limitations, but shows promising prospects for future development.
MASS SPECTROMETRY REVIEWS
(2022)
Article
Chemistry, Analytical
Xian-Na Wang, Bin Li
Summary: Gold nanoparticles/thiol-beta-cyclodextrin-functionalized TiO2 nanowires were prepared to enhance the performance of SALDI MS and MSI, showing superior detection sensitivity and repeatability.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Physical
Paulina Kobylis, Marta Kasprzyk, Andrzej Nowacki, Magda Caban
Summary: This study tested the ionicity of selected ionic liquid matrices (ILMs) and their impact on the MALDI process, using various techniques for detection and analysis. It was found that HABA/alpha-MBA is a very good ionic liquid, while the ionicity of other matrices was reduced due to intermolecular interactions. Mass spectra analysis showed that the base peaks depended on amine gas proton affinity.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Review
Chemistry, Multidisciplinary
Yajie Ding, Congcong Pei, Weikang Shu, Jingjing Wan
Summary: Metabolic analysis in biofluids plays a crucial role in disease diagnosis and monitoring, and LDI MS-based metabolic analysis shows great potential in this field. This review discusses the essential elements of LDI MS-based metabolic analysis and summarizes the recent developments in diagnostic applications using different nanomaterials and machine learning algorithms.
CHEMISTRY-AN ASIAN JOURNAL
(2022)