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研究生: 辛圖恩
Singh, Mrityunjay
論文名稱: 椰殼廢棄物資源化製備功能化纖維素奈米晶及其於高效重金屬污染修復之應用
Waste-to-resource conversion of coconut husk into functionalized cellulose nanocrystals for efficient heavy metal remediation
指導教授: 李亞儒
Lee, Ya-Ju
學位類別: 碩士
Master
系所名稱: 智慧半導體及永續製造學院 - 半導體封測學位學程
Program on Semiconductor Packaging and Testing
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 89
中文關鍵詞: 椰殼纖維深共熔溶劑微波輔助預處理奈米纖維素磷酸化釩離子吸附廢水處理
外文關鍵詞: Coconut husk, Deep eutectic solvent, Microwave-assisted pretreatment, Nanocellulose, Phosphorylation, Vanadium adsorption, Wastewater treatment
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  • 椰殼纖維(Coconut husk)是一種豐富的木質纖維素(lignocellulosic)農業工業副產物,具有高度的永續生物精煉(biorefinery)應用潛力。本研究建立一套兼具環境友善與高效率之椰殼纖維資源化技術,結合深共熔溶劑(Deep Eutectic Solvent, DES)預處理與微波輔助技術,以提升纖維素回收效率並製備高附加價值奈米纖維素。首先,比較不同以膽鹼氯化物(Choline chloride)為基礎之DES系統於生質分離中的效能,其中以膽鹼氯化物–乳酸(ChCl/LA)系統表現最佳,纖維素回收率達62.4%,木質素去除率達56.2%。
    進一步將微波照射整合至最佳化DES預處理程序,可於10分鐘內顯著提升生質分離效率,使纖維素回收率提高至82.4%,半纖維素去除率達64.0%,木質素去除率達70.5%。所得富含纖維素之固體經球磨(Ball milling)製備奈米纖維素,其產率高達82.8%。隨後透過磷酸化(Phosphorylation)與羧基化(Carboxylation)進行表面功能化修飾,成功引入更多活性官能基,並利用傅立葉轉換紅外線光譜(FTIR)、掃描式電子顯微鏡暨能量散射光譜(SEM-EDX)、穿透式電子顯微鏡(TEM)、X光繞射分析(XRD)、動態光散射(DLS)、比表面積分析(BET)及熱重分析(TGA)等技術進行完整之材料特性鑑定。
    結果顯示,所製備之奈米纖維素粒徑約為20–50 nm,經表面功能化修飾後具有較佳之膠體穩定性與比表面積。在所有吸附材料中,以磷酸化奈米纖維素對釩離子(Vanadium ions)展現最佳吸附效能;於最佳操作條件下,其去除率高達99.57%,主要歸因於表面磷酸官能基密度增加、活性吸附位點提升及靜電吸引作用增強。
    整體而言,本研究所建立之微波輔助DES預處理技術可有效提升纖維素可及性,並大幅縮短處理時間、降低化學藥劑使用量及能源消耗。本研究成功建立一套符合綠色生物精煉理念之永續資源化技術,將椰殼纖維廢棄物轉化為高附加價值功能性奈米纖維素,展現其於廢水處理、資源回收及循環生物經濟等領域之廣泛應用潛力。

    Coconut husk is an abundant lignocellulosic agro-industrial residue with significant potential for sustainable biorefinery applications. This study developed an environmentally friendly strategy for the valorization of coconut husk through deep eutectic solvent (DES)-based pretreatment integrated with microwave irradiation for efficient cellulose recovery and nanocellulose production. Initially, different choline chloride-based DES systems were evaluated for biomass fractionation, where the choline chloride–lactic acid (ChCl/LA) system exhibited the highest cellulose recovery (62.4%) and lignin removal (56.2%). Integration of microwave irradiation with the optimized DES significantly enhanced biomass fractionation, increasing cellulose recovery to 82.4%, while achieving 64.0% hemicellulose removal and 70.5% lignin removal within 10 min of treatment. The cellulose-rich fraction was subsequently converted into nanocellulose through ball milling with a high yield of 82.8%. Surface functionalization by phosphorylation and carboxylation successfully introduced additional active functional groups, as confirmed by FTIR, SEM-EDX, TEM, XRD, DLS, BET, and thermal analyses. The synthesized nanocellulose exhibited particle sizes of approximately 20-50 nm and improved colloidal stability after functionalization. Among all adsorbents, phosphorylated nanocellulose demonstrated superior adsorption performance for vanadium ions, achieving a maximum removal efficiency of 99.57% under optimized operating conditions owing to the increased density of phosphate functional groups and enhanced electrostatic interactions. The integrated microwave-DES pretreatment effectively improved cellulose accessibility while minimizing processing time and chemical consumption. Overall, this study demonstrates a sustainable green biorefinery approach for converting coconut husk waste into high-value functional nanocellulose with excellent potential for wastewater treatment, resource recovery, and circular bioeconomy applications.

    Chinese abstract ii English abstract iii Acknowledgments iv List of contents v-vii List of Tables viii List of Figures ix-x Chapter 1 Introduction 1 1.1. Research background 1 1.2. Research objectives 4 Chapter 2 Review of Literature 6 2.1. Environmental, health, and resource challenges 6 2.2. Lignocellulosic biorefineries in a circular bioeconomy 7 2.3. Pretreatment of lignocellulosic feedstocks 10 2.3.1. Physical pretreatment 12 2.3.2. Chemical pretreatment 15 2.3.2.1. Deep eutectic solvents 17 2.3.2.1.1. Ultrasound-DES pretreatment 19 2.3.2.1.2. Microwave-DES pretreatment 21 2.3.3. Physico-chemical pretreatment 22 2.3.4. Biological pretreatment 23 2.4. Coconut husk waste biomass 26 2.5. Biorefinery potential of coconut husk waste 27 Chapter 3 Materials and Methods 31 3.1. Chemicals/reagents 31 3.2. Compositional analysis of untreated and pretreated CH-biomass 31 3.3. Synthesis of deep eutectic solvent 32 3.4. DES Pretreatment 32 3.5. Microwave-assisted DES pretreatment 32 3.6. Nanocellulose preparation 33 3.7. Dynamic light scattering analysis 33 3.7.1. Principle of DLS 33 3.8. Functionalization of nanocellulose 35 3.8.1. Carboxylation 35 3.8.2. Phosphorylation 35 3.9. Nanocellulose characterization 35 3.9.1. Morphological analysis 35 3.9.1.1. Principle of SEM 36 3.9.1.2. Principle of TEM 37 3.9.1.3. Principle of Energy Dispersive spectrometer (EDS) 39 3.9.2. Fourier transform infrared spectroscopy 40 3.9.2.1. Principle of FTIR 40 3.9.3. X-ray diffraction 42 3.9.3.1. Principle of X-ray Diffraction 42 3.9.4. Thermogravimetric analysis 44 3.9.4.1. Principle of TGA 44 3.9.5. Brunauer-Emmett-Teller 46 3.9.5.1. Principle of Brunauer-Emmett-Teller 46 3.10. Adsorption experiments 48 3.10.1. Effect of pH on adsorption 48 3.10.2. Effect of temperature 48 3.10.3. Effect of contact time 49 3.11. Data analysis 49 3.12. Regeneration efficiency of the adsorbent 49 Chapter 4 Results and Discussions 51 4.1. Composition analysis of coconut husk biomass 51 4.2. Cellulose extraction from coconut husk biomass 51 4.2.1. DES pretreatment 51 4.2.2. Integrated microwave-ChCl/LA pretreatment 52 4.3. Nanocellulose production and functionalization 53 4.4. Characterization of nanocellulose 54 4.4.1. Morphological analysis 54 4.4.2. FTIR spectrum analysis of surface functionalized nanocellulose 57 4.4.3. XRD analysis 58 4.4.4. BET analysis 59 4.4.5. TGA and DTG analysis 60 4.5. Adsorption study of functionalized nanocellulose for vanadium removal 61 4.5.1. Effect of pH 61 4.5.2. Effect of temperature 62 4.5.3. Effect of contact time 63 4.6. Competitive adsorption 65 4.7. Effect of regeneration on adsorption capacity 65 Chapter 5 Summary and Conclusions 67 Future Directions 69 References 70

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