Literature DB >> 32150163

Sample Preparation for Probe Electrospray Ionization Mass Spectrometry.

Sen Takeda1, Kentaro Yoshimura2, Hiroshi Tanihata3.   

Abstract

Mass spectrometry (MS) is a powerful tool in analytical chemistry because it provides very accurate information about molecules, such as mass-to-charge ratios (m/z), which are useful to deduce molecular weights and structures. While it is essentially a destructive analytical method, recent advancements in the ambient ionization technique have enabled us to acquire data while leaving tissue in a relatively intact state in terms of integrity. Probe electrospray ionization (PESI) is a so-called direct method because it does not require complex and time-consuming pretreatment of samples. A fine needle serves as a sample picker, as well as an ionization emitter. Based on the very sharp and fine property of the probe tip, destruction of the samples is minimal, allowing us to acquire the real-time molecular information from living things in situ. Herein, we introduce three applications of PESI-MS technique that will be useful for biomedical research and development. One involves the application to solid tissue, which is the basic application of this technique for the medical diagnosis. As this technique requires only 10 mg of the sample, it may be very useful in the routine clinical settings. The second application is for in vitro medical diagnostics where human blood serum is measured. The ability to measure fluid samples is also valuable in various biological experiments where a sufficient volume of sample for conventional analytical techniques cannot be provided. The third application leans toward the direct application of probe needles in living animals, where we can obtain real-time dynamics of metabolites or drugs in specific organs. In each application, we can infer the molecules that have been detected by MS or use artificial intelligence to obtain a medical diagnosis.

Entities:  

Year:  2020        PMID: 32150163     DOI: 10.3791/59942

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  3 in total

1.  High-performance Collective Biomarker from Liquid Biopsy for Diagnosis of Pancreatic Cancer Based on Mass Spectrometry and Machine Learning.

Authors:  Tomohiko Iwano; Kentaro Yoshimura; Genki Watanabe; Ryo Saito; Sho Kiritani; Hiromichi Kawaida; Takeshi Moriguchi; Tasuku Murata; Koretsugu Ogata; Daisuke Ichikawa; Junichi Arita; Kiyoshi Hasegawa; Sen Takeda
Journal:  J Cancer       Date:  2021-11-04       Impact factor: 4.207

2.  Breast cancer diagnosis based on lipid profiling by probe electrospray ionization mass spectrometry.

Authors:  T Iwano; K Yoshimura; S Inoue; T Odate; K Ogata; S Funatsu; H Tanihata; T Kondo; D Ichikawa; S Takeda
Journal:  Br J Surg       Date:  2020-04-04       Impact factor: 6.939

3.  A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.

Authors:  Sho Kiritani; Kentaro Yoshimura; Junichi Arita; Takashi Kokudo; Hiroyuki Hakoda; Meguri Tanimoto; Takeaki Ishizawa; Nobuhisa Akamatsu; Junichi Kaneko; Sen Takeda; Kiyoshi Hasegawa
Journal:  BMC Cancer       Date:  2021-03-10       Impact factor: 4.430

  3 in total

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