Coffee Ring Effect Free TiO2 Nanotube Array for Quantitative Laser Desorption/Ionization Mass Spectrometry
- Coffee Ring Effect Free TiO2 Nanotube Array for Quantitative Laser Desorption/Ionization Mass Spectrometry
- 강민정; Moon-Ju Kim; Jong-Min Park; Joo-Yoon Noh; Tae Gyeong Yun; Nam Su Ku; Eun Hye Lee; Kwang Hwan Park; Moo Suk Park; Sang-Guk Lee; Jae-Chul Pyun
- TiO2 nanotube arrays; coffee ring effect; wettability control; sepsis; quantitative LDI-MS
- Issue Date
- ACS Nano
- VOL 3-9259
- Quantitative analysis using laser desorption/ionization mass spectrometry (LDI-MS) has been limited because of the nonuniform distribution of analytes caused by the “coffee ring effect”. In this study, a TiO2 nanotube array with hydrophilic dot patterns surrounded by hydrophobic areas (HB/HL-patterned TiO2 NTA) is presented to distribute analytes uniformly as well as to concentrate them within a sample spot. The HB/HL-patterned TiO2 NTA is fabricated by (1) electrochemical anodization, (2) silane functionalization, and (3) hydrophilic patterning with a photomask under ultraviolet radiation. Suppression of the coffee ring effect on this wettability-controlled TiO2 NTA is experimentally elucidated in terms of a capillary penetration of analyte solution into the selectively permeable TiO2 NTA. The morphology of a dried fluorescein on the HB/HL-patterned TiO2 NTA demonstrates homogeneous fluorescein deposition without lateral spreading. The feasibility of HB/HL-patterned TiO2 NTA for quantitative LDI-MS is demonstrated using two types of sepsis biomarkers, lysophosphatidylcholine 16:0 (LPC 16:0) and LPC 18:0 as model analytes. Further, LDI-MS based on the HB/HL-patterned TiO2 NTA matrix is applied to the medical diagnosis of sepsis by analyzing LPC 16:0 and LPC 18:0 with the sera from sepsis-negative and -positive groups. These results reveal that the HB/HL-patterned TiO2 NTA can be a remarkable platform for quantitative analysis. Furthermore, LDI-MS based on the HB/HL-patterned TiO2 NTA matrix has the potential to be a practical approach for sepsis diagnosis.
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