논문 (학술지)
Large-Area Graphene Films as Target Surfaces for Highly Reproducible Matrix-Assisted Laser Desorption Ionization Suitable for Quantitative Mass Spectrometry
| 등록번호 | RPMS-2019-0190742010 | SCI 구분
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※구분 : SCI(SCIE포함), 비SCI |
SCI |
|---|---|---|---|
| 저자명 (주·공동저자) | Choi Yoon Kyung; Oh Joo Yeon; Han Sang Yun | ||
| 논문구분 | 국외전문학술지 | 학술지명 | JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY |
| ISSN | 1044-0305 | 학술지 출판일자 | 2018-10-01 |
| 학술지 볼륨번호 | 29 | 논문페이지 | 2003 ~ 2011 |
| 학술지 임팩트팩터 | 0.0 | 기여율 | 90 % |
| 초록 | Due to the known sweet-spot issues that intrinsically arise from inhomogeneous formation of matrix-analyte crystals utilized as samples in matrix-assisted laser desorption ionization (MALDI) mass spectrometry, its reproducibility and thus its applications for quantification have been somewhat limited. In this paper, we report a simple strategy to improve the uniformity of matrix-analyte crystal spots, which we realized by adapting large-area graphene films, i.e., non-inert, interacting surfaces, as target surfaces. In this example, the graphitic surfaces of the graphene films interact with excess matrix molecules during the sample drying process, which induces spontaneous formation of optically uniform MALDI sample crystal layers on the film surfaces. Further, mass spectrometric imaging reveals that the visible uniformity is indeed accompanied by reproducible MALDI ionization over an entire sample spot, which greatly suppresses the appearance of sweet spots. The results of this study confirm that the proposed method achieves good linear responses of ion intensity to the analyte concentration (R-2 > 0.99) with small relative standard deviations (sigma | ||
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