4.7 Article

Osteoporosis risk assessment using multilayered gold-nanoparticle thin film via SALDI-MS measurement

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 411, Issue 13, Pages 2793-2802

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-019-01759-5

Keywords

Osteoporosis; Biomarker; Gold nanoparticles; Multilayered thin film; Sample substrate; Serum

Funding

  1. MOST [107-2113-M-038-004, 105-2119-M-038-002-MY2, 107-2622-E-038-001-CC2]
  2. Taipei Medical University

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A powerful technique to detect bone biomarkers has been developed for assessment of osteoporosis at the early stage. Two-dimensional multilayered gold-nanoparticle thin film (MTF-AuNPs) was demonstrated as a promising test platform for detection of bone biomarker, hydroxyproline (HYP), measured by surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS). With strong surface plasmon resonance and excellent homogeneity, facilely prepared, highly ordered, and large-scale MTF-AuNPs revealed high sensitivity of HYP in the SALDI-MS measurement without additional matrixes, such as -cyano-4-hydroxycinnamic acid (CHCA) and 2,5-dihydroxybenzoic acid (DHB). Furthermore, the mass spectrum of HYP with MTF-AuNPs was significantly improved in signal intensity enhancement, background noise reduction, and signal-to-noise ratio amplification. The excellent reproducibility of HYP spectra with only 9.3% relative signal variation could be attributed to MTF-AuNPs' high absorbance at a wavelength of 337nm, low heat capacity, superior thermal conductivity, and outstanding homogeneity. The calibration curve showed high linear correlation between mass spectrum intensity and HYP concentration in the range of 1 to 100M, covering the whole level in healthy people and osteoporosis patients. In particular, the serum sample was directly deposited onto the MTF-AuNP sample substrate without any pretreatment and its HYP concentration was then successfully determined. We believe that the combination of SALDI-MS and MTF-AuNP sample substrates would be a potential approach for bone biomarker detection in the osteoporosis risk assessment.

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