藉由中孔洞氧化石墨烯奈米粒子結合微滴陣列應用於表面輔助雷射游離/脫附檢測濫用藥物

Abstract

在一般的Matrix-Assisted Laser Desorption/Ionization (MALDI)技術中，使用有機酸基質時常面臨兩大挑戰：一是在乾燥結晶過程中的不均勻性，導致低再現性；二是在低分子量區間背景訊號的干擾。本研究提出了一種創新的解決方案，使用中孔氧化石墨烯奈米粒子（mesoporous graphene oxide nanoparticles, MGNs）作為新型奈米基質。MGNs展現了諸多優勢：首先，它們在低分子量區間(m/z 100-500)產生更低的背景訊號；其次，由於其獨特的孔洞結構(mesoporous 3–8 nm and microporous<1.5nm)和表面氧化石墨烯，MGNs具有高效的吸附能力(1.1-1.2 mL/g)和能量轉移效率，並且有強大的吸光能力(200-1100 nm)以及在近紅外放光(600-1100 nm)，這些都有助於分析物質的有效解離。此外，為了進一步解決不均勻性和再現性的問題，將MGNs與微滴陣列晶片結合應用於Surface-Assisted Laser Desorption/Ionization (SALDI) 技術。以期利用優化過後的溶劑條件 (H2O+1% EG) 及儀器參數提升檢測不同濫用藥物（例如:芽子鹼甲酯）的均勻性及再現性，進而降低定量分析中的相對標準偏差。

In conventional Matrix-Assisted Laser Desorption/Ionization (MALDI) techniques, using organic acid matrices often faces two major challenges: uneven crystallization during the drying process, leading to low reproducibility, and background interference in the low molecular weight region. This study proposes an innovative solution by using mesoporous graphene oxide nanoparticles (MGNs) as a novel nanomaterial matrix. MGNs exhibit several advantages: firstly, they produce lower background signals in the low molecular weight range (m/z 100-500); secondly, due to their unique mesoporous (3–8 nm) and microporous (<1.5 nm) structures and surface graphene oxide, MGNs possess high adsorption capacity (1.1-1.2 mL/g) and efficient energy transfer capabilities. Additionally, they have strong light absorption (200-1100 nm) and near-infrared emission (600-1100 nm), which contribute to the effective desorption of analytes. To further address issues of uniformity and reproducibility, MGNs were combined with microarray chips in Surface-Assisted Laser Desorption/Ionization (SALDI) technology. By optimizing solvent conditions (H2O + 1% EG) and instrument parameters, the study aims to enhance the uniformity and reproducibility in detecting various drugs of abuse (e.g., ecgonine methyl ester), thereby reducing the relative standard deviation in quantitative analysis.