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Title: | 青江菜硝酸鹽含量檢測及栽培策略之建立 Development of Cultivation Strategy for Pak-Choi (Brassica chinensis Linn)Using Nitrate Content Measurements |
Authors: | Min Lin 林敏 |
Advisor: | 陳世銘(Suming Chen) |
Keyword: | 光譜檢測技術,非破壞性檢測,硝酸鹽檢測,反應曲面法, Non-destructive Measurement,Near-infrared Spectroscopy,Cultivation Strategy,Response Surface Method, |
Publication Year : | 2014 |
Degree: | 碩士 |
Abstract: | 葉菜類蔬菜為國人飲食習慣中不可缺少的一部份,然而其易因天氣、施氮肥過度等因素,殘留過多有害健康之硝酸鹽,攝取過量的硝酸鹽會導致高鐵血紅蛋白症 (methemoglobinemia),可能導致人體缺氧進而影響中樞神經系統,危害身體健康。因此,本研究以下列三個部分,致力於改善現行之葉菜類栽種模式,以非破壞性檢測搭配最適化栽種模式之建立,成功達到解決現今因葉菜類硝酸鹽累積而導致的食安問題。
第一部分為硝酸鹽含量精準且即時的非破壞性檢測,目前量測硝酸鹽含量的方法多為精準度高但需破壞樣本之化學檢測,本研究利用市售之實驗室型近紅外光光譜檢測儀器,建立快速且精準的光譜檢量模式。實驗結果部分,光纖光譜搭配MPLSR分析模式之最佳檢量線,於數學前處理為 (2,6,6,1) 、選擇factor = 4時,rc = 0.78且rv = 0.55。RCA光譜搭配MPLSR之最佳檢量模式為於數學前處理為 (1,4,4,1) 、選擇factor = 8時,rc = 0.81且rv = 0.71。兩者皆相當準確。 第二部分為建立以硝酸鹽含量為考量之青江菜的栽培策略模式。本研究使用反應曲面法調控收穫前7天之植株的環境因子,發展出以低硝酸鹽含量高地上部鮮重為考量之青江菜栽培策略模式。且因為同時考量栽種者與消費者的權益,本研究建立了在硝酸鹽符合規範的條件下,最高地上部鮮重使得栽種者獲得最大收益的栽種策略。分析結果顯示,若依照所建立模式之環境種植,低硝酸鹽組別,硝酸鹽含量在2500 - 3500 ppm範圍時,期望值為1.00,預測成株之硝酸鹽含量為1833.40 ppm,地上部鮮重為45.8 g。中硝酸鹽組別,硝酸鹽含量在3500 - 4500 ppm範圍時,期望值為0.90,預測成株之硝酸鹽含量為1500.0 ppm,地上部鮮重為55.01 g。高硝酸鹽組別,硝酸鹽含量在4500 - 5500 ppm範圍時,期望值為0.77,預測成株之硝酸鹽含量為1871.1 ppm,地上部鮮重為57.6 g。 第三部分,建構了栽培中與收穫中皆能調控植株硝酸鹽含量之葉菜類低硝酸鹽含量栽種與檢測之完整流程,創造栽種者與消費者雙贏的栽培策略。 Vegetables are indispensable food in daily life. However, the unsuitable environment or over-fertilization may result in over nitrate accumulation in leafy vegetables, which may cause a health problem. The nitrate contents of leafy vegetables were ranked as the highest among all vegetables. People who have the excessive intake of nitrate may suffer from methemoglobinemia, which can cause a fatal harm to consumers. This research consists of three objectives. The first objective of this study is to develop a non-destructive measuring method for the determination of the nitrate content in leafy vegetables using NIR spectroscopy, the second objective is to establish the cultivation strategies for Pak-Choi vegetable to meet nitrate content requirement at harvest, and the third objective is to integrate the former two results to construct a standard procedure for the cultivation of vegetables in view of better nitrate content control. The spectra of nitrate content in vegetable leaves were analyzed by using modified partial least square regression (MPLSR). Using NIRS6500 with RCA module at conditions of first derivative, 8 factors and (1,4,4,1) mathematic treatments, the best MPLSR results showed that rc = 0.81, and rv = 0.71. Using NIRS6500 with fiber optics at conditions of first derivative, 4 factors and (2,6,6,1) mathematic treatments, the best MPLSR results showed that rc = 0.78 and rv = 0.55. Regarding the cultivation strategies, the response surface method (RSM) was applied to establish the operation parameters of the vegetable cultivation to control nitrate content in Pak-Choi since seven days prior to harvest. The treatment factors included nitrogen concentration of nutrient solution, photoperiod and light intensity. The results showed the desirability was 1.00, 0.90 and 0.77, in which appropriate cultivation parameters could be identified to construct a successful strategy for regulating nitrate content. The results indicated that RSM could be used to establish the feedback algorithm of the vegetable cultivation for the better nitrate content controls. Finally, a standard procedure for the cultivation of vegetables was developed; the procedure illustrated how to use the NIR non-destructive measurements and the cultivation strategies. The procedure can make the maximum benefits for both farmers and the consumers. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56114 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 生物機電工程學系 |
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