石墨烯量子點具有量子限制侷限(quantum confinement)和邊緣效應(edge effect),其特殊性質近年來受到高度重視,因此得以在螢光應用上蓬勃發展。石墨烯量子點具有低毒性、溶解度高、化學惰性和穩定的發光性質,主要用於感測器和生物成像。 本研究分兩部分,第一部分研發由下向上法合成石墨烯量子點,利用檸檬酸與兩個不同的胺基酸(甘胺酸、半胱胺酸)在一鍋脫水反應後,合成出兩種摻雜氮原子的石墨烯量子點(N-doped Graphene Quantum Dots, N-GQDs),胺基酸在此反應中同時扮演碳源和氮源的雙重角色,以甘胺酸合成的量子產率約為14%,半胱胺酸合成的量子產率約為58%,相較於其他一鍋法合成的GQD,具有較高螢光產率之優點。合成出的產物,利用FTIR、PL、TEM、UV、AFM與XPS等儀器進行表徵分析,結果顯示我們成功的以快速、簡易的一鍋法方式合成摻雜氮原子的石墨烯量子點。 第二部分利用N-GQDs的優點,運用在蜂蜜中四環素(tetracycline)的感測,發展快速篩選方法,達到零有機溶劑、簡便、快速的目的。感測機制基於操控N-GQDs螢光的開閉、N-GQDs和四環素間的π-π堆疊作用力、和猝滅N-GQD的螢光。利用標準添加法測定蜂蜜中的四環素,偵測極限為4 ppb,回收率為77-112%,相對標準偏差為14.5%。應用於21件市售蜂蜜樣品的快篩,篩選結果顯示4件有四環素殘留量。
Graphene quantum dots (GQDs) are nano-sized materials having unique properties like the quantum confinement effect and edge effect which has led to its emergence in fluorescence-based applications. The low toxicity, high solubility, chemically inertness, and stable luminescent properties of GQDs must be explored further for its application in sensors and bio imaging studies. A one-pot synthesis of GQDs based on the bottom-up approach has been developed in this study with citric acid and amino acids(glycine、cysteine) precursors to successfully achieve two N-doped Graphene Quantum Dots (N-GQD). In this reaction, amino acid plays dual role of donating both carbon and nitrogen atom. These as-prepared N-GQDs have a high quantum yield of 14(glycine) and 58%(cysteine) as compared to previously reported GQDs. The final product has been characterized using FT-IR, PL, TEM, UV-Vis, XPS, and AFM, which shows successful nitrogen doping as GQDs. These highly fluorescent N-GQDs have been used for faster sensing of tetracycline in honey, making this, a green method as it does not involve the use of any toxic reagent. The detection is based on the on-off mechanism and fluorescent control of N-GQDs. The sensing is primarily based on a π-π stacking interaction between N-GQD and tetracycline by quenching the fluorescence of N-GQDs. Detection of honey has been carried out using a standard addition method. A detection limit of 4 μg·L−1, recovery of 77-112%, and a relative standard deviation of 14.5% is a proof to a highly sensitive detection. Further, rapid detection of 21 commercial honey samples has been carried out, of which, four samples have been found with the presence of tetracyclin.