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Issue 31, 2017
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Highly oriented Langmuir–Blodgett film of silver cuboctahedra as an effective matrix-free sample plate for surface-assisted laser desorption/ionization mass spectrometry

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Abstract

The design of a homogeneous sample plate to solve the sweet heating spot issues is the key step to expand the applicability of surface-assisted laser desorption/ionization mass spectrometry (SALDI MS). Herein, large-scale and highly oriented Langmuir–Blodgett (LB) films of uniform silver nanocrystals have been fabricated as a highly efficient and matrix-free sample plate for SALDI MS. Three individual silver nanocrystals (cubes, cuboctahedra and octahedra) assembled LB films have been applied as the sample plates for glucose detection by SALDI MS without an additional matrix. The results show that the signal intensity, background noise, signal-to-noise ratio and reproducibility have been significantly improved using LB films as the sample plate in comparison with commercial matrixes of CHCA and DHB. In particular, a relative signal of 5.7% was obtained for LB films of silver cuboctahedra. The significant improvement in the SALDI MS measurement could be attributed to the homogenous dissipation of laser irradiation energy to create a large area of the sweet heating spot on well-oriented silver cuboctahedra-based LB film. This ready-to-use sample plate has the potential for widespread commercial applications in SALDI MS.

Graphical abstract: Highly oriented Langmuir–Blodgett film of silver cuboctahedra as an effective matrix-free sample plate for surface-assisted laser desorption/ionization mass spectrometry

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Publication details

The article was received on 08 Jun 2017, accepted on 30 Jun 2017 and first published on 07 Jul 2017


Article type: Paper
DOI: 10.1039/C7NR04098A
Citation: Nanoscale, 2017,9, 11119-11125
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    Highly oriented Langmuir–Blodgett film of silver cuboctahedra as an effective matrix-free sample plate for surface-assisted laser desorption/ionization mass spectrometry

    T. Kuo, Y. Chen, Chiung-I. Wang, T. Shen, H. Wang, X. Pan, D. Wang, C. Liou, Y. Chang, Y. Chen, Y. Wu, Y. Liu, Y. Lin, C. Hu and C. Chen, Nanoscale, 2017, 9, 11119
    DOI: 10.1039/C7NR04098A

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