| 研究生: |
陳秋芸 Chen, Chiou-Yun |
|---|---|
| 論文名稱: |
咖啡豆微量元素及鍶-硼同位素組成與產地關連性之探討 Relationships between the geographical origin and the compositions of trace elements and Sr-B isotopes in coffee bean |
| 指導教授: |
游鎮烽
You, Chen-Feng |
| 學位類別: |
碩士 Master |
| 系所名稱: |
理學院 - 地球科學系碩士在職專班 Department of Earth Sciences (on the job class) |
| 論文出版年: | 2011 |
| 畢業學年度: | 99 |
| 語文別: | 中文 |
| 論文頁數: | 74 |
| 中文關鍵詞: | 硼同位素 、鍶同位素 、咖啡豆 、產地來源 |
| 外文關鍵詞: | Boron isotope, Strontium isotope, coffee beans, regional source |
| 相關次數: | 點閱:101 下載:11 |
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本研究分析咖啡豆中的礦物元素含量及鍶硼同位素比值變化,探討作為判別產地來源之可能性。植物中的各種礦物元素,如鉀、鎂、鈣、鋅、磷、鍶、鋇及硼等,因生長環境的不同而有所差異(如地質、氣候、栽培方式、及品種等的不同),形成不同產地有其獨特之礦物元素含量與同位素比值。
鍶、硼在自然界中廣泛分佈,而硼為植物生長所需營養鹽,其穩定同位素因質量差異,使植物在生長過程中易產生同位素分化作用;因各種天然與人為影響,造成不同地區所顯示的鍶、硼同位素比值截然不同,可做為農作物產地溯源的重要線索。本研究採用國外及台灣生產的咖啡豆進行礦物元素組成及鍶、硼同位素比值之分析,比較不同產地的差異性。
本研究選取國外及台灣台東、雲林等產地之咖啡豆,進行礦物元素組成及鍶硼同位素比值之比較。以高解析感應耦合電漿質譜儀(HR-ICP-MS),量測主要與微量元素含量,搭配多接收器感應耦合電漿質譜儀(MC-ICP-MS)進行鍶、硼同位素比值分析,使用國際標準品NIST SRM 1515進行校正比對。
生長環境、地質背景、施肥灌溉等因素均可能影響咖啡豆之元素含量與同位素組成,合併比對δ11B與87Sr/86Sr,明顯將台灣、非洲、中南美洲產地區隔開,而南亞因取樣數太少,無法顯示其趨勢,顯示硼同位素比值(δ11B)與鍶同位素比值(87Sr/86Sr),可非常有效的區隔出咖啡豆產地,實具有潛力做為產地來源示蹤工具。
Previous studies have shown that variations of elemental concentrations in plants can be attributed to the influences of local sources, such as soil, water and fertilizer, and can be used to track plant growing regions. More recently, Sr and B in plants (i.e., tea leaves, vegetables and ginsengs) have been successfully used to further discuss transport processes and water-soil-plant-atmosphere interactions in various ecosystems and environments. In this study we measure major and minor elements, as well as the isotope ratios of Strontium (Sr) and Boron (B) in coffee beans to systematically evaluate the potential use of these elemental and isotopic tracers for distinguishing their origins around the world. Sr and B are chosen because their isotopic compositions can faithfully reflect the origins of rocks and waters.
Elemental concentrations, and B-Sr isotope ratios in coffee samples were determined by HR-ICP-MS and MC-ICP-MS, respectively. The validity of the method was carefully assessed through a series of sample preparation and column purification using a certified plant reference material (NIST SRM 1515, Apple leaves). The results show >91% recoveries for major, minor and trace elements, e.g., Ca, K, Mg, P, S, Al, Na, Fe, Ba, Mn, Zn, Rb, and Cu. Nearly 100% of chemical yields for B and Sr are also achieved in the presented techniques. Through these evaluations, we successfully established a revised method for determining elemental abundances, B and Sr isotopes in plant and coffee samples.
The obtained δ11B data of 18 coffee samples from different regions revealed a large variability of δ11B values, ranged from -10.9‰ to +36.9‰, which covers a half of the natural variations in δ11B and highly correlates with the local δ11B signals. In contrast, 87Sr/86Sr in coffee beans can only be used to distinguish the difference between Taiwan and America. By combining the B and Sr isotope data, we successfully identify the coffee origins from Taiwan, Asia, America, and Africa. This study suggests that B and Sr isotopes in coffee beans can have a great potential to be an indicator for their source regions.
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