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Focused Electrospray Deposition for Matrix-assisted Laser Desorption/Ionization Mass Spectrometry
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jeong, Kyung Hwan Seo, Jongcheol Yoon, Hye-Joo Shin, Seung Koo |
| Copyright Year | 2010 |
| Abstract | Focused electrospray (FES) deposition method is presented for matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. FES ion optics consists of two cylindrical focusing electrodes capped with a truncated conical electrode through which an electrospray emitter passes along the cylindrical axis. A spray of charged droplets is focused onto a sample well on a MALDI target plate under atmospheric pressure. The shape and size distributions of matrix crystals are visualized by scanning electron microscope and the mass spectra are obtained by time-of-flight mass spectrometry. Angiotensin II, bradykinin, and substance P are used as test samples, while α-cyano-4-hydroxycinnamic acid and dihydroxybenzoic acid are employed as matrices. FES of a sample/matrix mixture produces fine crystal grains on a 1‒3 mm spot and reproducibly yields the mass spectra with little shot-to-shot and spot-to-spot variations. Although FES greatly stabilizes the signals, the space charge due to matrix ions limits the detection sensitivity of peptides. To avoid the space charge problem, we adopted a dual FES/FES mode, which separately deposits matrix and sample by FES in sequence. The dual FES/FES mode reaches the detection sensitivity of 0.88 amol, enabling ultrasensitive detection of peptides by homogeneously depositing matrix and sample under atmospheric pressure. |
| Starting Page | 2293 |
| Ending Page | 2298 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.5012/bkcs.2010.31.8.2293 |
| Volume Number | 31 |
| Alternate Webpage(s) | http://ocean.kisti.re.kr/downfile/volume/chemical/JCGMCS/2010/v31n8/JCGMCS_2010_v31n8_2293.pdf |
| Alternate Webpage(s) | https://doi.org/10.5012/bkcs.2010.31.8.2293 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |