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標題: | 預估作物於銅汙染土壤生長之植體銅含量 Estimation of Copper Content in Crops Cultivated in Copper Contaminated Soil |
作者: | Wei-Yang Chiou 邱維揚 |
指導教授: | 許富鈞(fu-chiun hsu) |
關鍵字: | 生物有效性,單一化學萃取法,蕹菜,白莧,小白菜,茼蒿, bioavailability,single chemical extraction,water spinach,amaranth,pakchoi,garland chrysanthemum, |
出版年 : | 2018 |
學位: | 碩士 |
摘要: | 臺灣農地銅汙染案件數量多,可能造成作物食用安全問題。藉由調查於銅汙染土壤栽培之作物其生長及銅累積,可評估農產品的食用安全性,另外建立植體銅濃度預估模型則可達到預警的效果。本研究將台灣重要的四種食用蔬菜,蕹菜(Ipomoea aquatic F.)、白莧(Amaranthus inamoenus W.)、小白菜(Brassica rapa L. ssp. chinensis)及茼蒿(Chrysanthemum coronarium L.)種植於人工銅汙染之土壤中,調查各項生長指標以觀察作物受銅之危害,並量測植體銅濃度來評估作物食用安全性。
食用安全評估的試驗結果,在12-518 mg·kg-1的土壤銅濃度生長下的蕹菜、白莧、小白菜及茼蒿,外表型態、株高及鮮重會隨著土壤銅濃度的增加而下降,植體銅濃度則會隨之上升,以409-518 mg·kg-1的土壤銅濃度處理下有最高的植體銅濃度結果。小白菜在四種作物中有最高植體銅濃度為122 mg·kg-1,經過計算超過銅的每日建議攝取濃度,但由於生長被嚴重抑制,因此流入市面對人體的食用安全威脅較低。 植體銅濃度預估模型的建立依據,是各項的生物有效性因子(bioavailability),除了蒐集上述四種蔬菜於人工銅汙染土壤試驗中所記錄的資料外,也為臺灣重要糧食作物-水稻(Oryza sativa L.)的田間資料來建立預估模型。 套用已建立的植體銅濃度預估模型的公式計算,得到的植體銅濃度推估值,與實際值以迴歸驗證,得知蕹菜、白莧、小白菜及茼蒿最高的R2值分別為0.8319、0.8473、0.6340及0.7617,皆有高的植體銅濃度預估能力。當水稻銅濃度預估模型的土壤銅全量,以王水消化及X-ray Fluorescence Spectrometer(XRF)分析時,最高的R2值分別為0.2855和0.2981,兩者預估能力相近,因此未來可以選擇檢測需時較少的XRF作為分析方法。 Large number of copper pollution cases in Taiwan's agricultural land may cause crop food safety problems. By investigating the growth and copper accumulation of crops grown in copper contaminated soils, the food safety of agricultural products can be assessed, and the early warning effect can be achieved by establishing a model for estimating the plant copper concentration. In this study, four important edible vegetables in Taiwan, including water spinach(Ipomoea aquatic F.), amaranth(Amaranthus inamoenus W.), pakchoi(Brassica rapa L. ssp. chinensis)and garland chrysanthemum(Chrysanthemum coronarium L.), were planted in artificial copper contaminated soil. Various growth indicators were utilized to evaluate the damage of crops to copper, and the plants copper concentration was measured to assess crop food safety. The results of the food safety assessment of the four vegetables showed that the growth in plant height and fresh weight of the crops grown in the soil containing 12 to 518 mg·kg-1 decreased with the increase of soil copper concentration, while the plant copper concentration increased. The highest concentration of copper in the plant was obtained by the soil containing 409 to 518 mg·kg-1. Among the four crops, pakchoi had the highest copper concentration of plant in 122 mg·kg-1 , which was calculated to exceed the daily recommended intake of humans in copper, but it was less likely to enter the market due to severe suppression of growth. The prediction model of the plant copper concentration is based on the bioavailability factors. In addition to collecting the data recorded in the artificial copper contaminated soil test of the above four crops, the field data was also used to establish a prediction model for a Taiwan's important food crop, rice (Oryza sativa L.). Based on the formula of the established copper concentration prediction model, regression analysis of the estimated and actual value of copper concentration in plants. The estimated copper concentration of the plant was calculated by the formula of the established copper concentration prediction model, and then the estimated and actual values of the plant were analyzed by regression. The highest R2 values of water spinach, amaranth, pakchoi and garland chrysanthemum were 0.8319, 0.8473, 0.6340 and 0.7617, respectively, all of which had high ability to predict copper concentration in the plant. In the part of the rice copper concentration prediction model, the total amount of soil copper was analyzed by aqua regia digestion and X-ray Fluorescence Spectrometer (XRF), and the highest R2 values were 0.2855 and 0.2981, respectively. Because estimates using two methods are similar, the efficient and nondistructive detection approach using XRF is recommended. |
URI: | http://tdr.lib.ntu.edu.tw/handle/123456789/1349 |
DOI: | 10.6342/NTU201900391 |
全文授權: | 同意授權(全球公開) |
顯示於系所單位: | 園藝暨景觀學系 |
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