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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 陳世銘(Suming Chen) | |
dc.contributor.author | Chun-Ming Liu | en |
dc.contributor.author | 劉峻銘 | zh_TW |
dc.date.accessioned | 2021-07-11T14:41:38Z | - |
dc.date.available | 2021-11-02 | |
dc.date.copyright | 2016-11-02 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-19 | |
dc.identifier.citation | 王慶茵。2010。茶葉品質近紅外光譜非破壞性檢測。碩士論文。台北:台灣大學生物產業機電工程學研究所。
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78081 | - |
dc.description.abstract | 蔬菜為人類日常飲食中不可或缺之食物,然而蔬菜容易因栽種不當而殘留過多有害健康之硝酸鹽,因此本研究目的為測試以兩台市售小型光譜儀之性能及檢測能力,評估開發小型光譜檢測設備之可行性,期望建立出可快速檢測蔬菜中硝酸鹽濃度之方法,並提供開發低價光譜設備之參考。本研究先以FOSS NIRSystem之方法對三台光譜儀進行Photometric Noise測試,僅實驗室型RCA光譜儀之數據符合FOSS原廠建議值,顯見其穩定性均不及RCA光譜儀。再以實際測量生物材料,並以各式數學處理之光譜形狀比較二者與RCA量測到之主要波峰位置,作為初步判斷光譜儀波長偏移情形之依據。整體顯示A牌之結果皆較B牌優,然而若將價格加入考量數據,則其CP值未必是A牌較佳。
於實際建立檢量線之部分乃採用RCA、A牌(分為透射、反射配件)與B牌光譜儀,分別測量自行種植之青江菜光譜資訊,藉由化學比色法得知葉片中之硝酸鹽濃度,並以PLSR分析建立檢量線。其中以RCA建立之檢量線的rc值為0.85且rv值為0.73,SEC值約為1000 ppm為三者中最佳,而A、B光譜儀以反射式測量而得知之檢量線rc值與rv值分別為0.81與0.68以及0.71與0.48,皆屬於具有測量能力之檢量模型,而結果顯示光譜儀之預測能力與性能測量比較結果相符。根據不同測量方式的建模結果則證明了透射式可獲取較反射式為多的資訊,所得之結果較佳。而包含越多光譜資訊範圍的檢量線則可獲得較穩健之結果,濃度範圍分布較小之檢量線相關係數較小,但誤差也可因此降低。透過比較其基本性能與檢量線建立之結果,期望可提供未來開發低價光譜設備之參考依據。 | zh_TW |
dc.description.abstract | Vegetables are necessary food in human’s daily meals. However, due to improper cultivation, there will be excessive nitrate remained in vegetable, which is harmful to human’s health. As a result, the purpose of this study is to evaluate the possibility of developing a low-priced spectroscopy equipment based on commercial portable mini-spectrometers and establish a method of rapid detection of the concentration of nitrate in vegetables.
In this study, we have tested three spectrometers, including laboratory spectrometer RCA and two mini-spectrometers from company A and company B, for their performance and stability. Spectral signals of biomaterials were measured by using these spectrometers, and the appearances of waveform were regarded as the basis of availability of each spectrometer. The results indicated that the performance of RCA is most stable and followed by company A than company B and only the RCA conforms to the Photometric Instrument Noise inspection from FOSS NIRSystem Inc. However, the CP value of mini-spectrometer of company A might not be better than that of company B after taking their price into account. During calibration model developing, we adopted the spectral information of self- cultivated Bok Choy leaves which were measured by RCA, spectrometer A (transmission and reflection ways), and spectrometer B. The nitrate concentrations of each Bok Choy were obtained by using chemocolorimetry. PLSR analysis was used to build four calibration models. In the calibration model using RCA, the values of rc and rv could achieve 0.85 and 0.73, and the value of SEC were 1104.96 ppm; in the calibration models using spectrometer A and spectrometer B, the values of rc and rv could achieve 0.81 and 0.68 and 0.71 and 0.48, which showed that these models have enough ability in prediction and they also confirmed the results of performance and stability tests. Moreover, the study also compared the results from different measurement conditions, such as detection ways and the nitrate concentration distribution of data. The result shows the reflectance way is more precise and the large distribution of nitrate can help to build the model stable. Base on the results of comparison of performance between different spectrometers and establishment of calibration models, it can provide a reference for the development of low-price spectroscopy equipment in the future. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:41:38Z (GMT). No. of bitstreams: 1 ntu-105-R03631021-1.pdf: 3466749 bytes, checksum: 51c992bca2764c2aa7a71d1fb10116c7 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 誌 謝 i
摘 要 ii Abstract iii 圖目錄 vii 表目錄 1 第一章 前言 3 1-1前言 3 1-2研究目的 4 第二章 文獻探討 5 2-1硝酸鹽 5 2-1-1硝酸鹽 5 2-1-2硝酸鹽對人體之影響 7 2-1-3硝酸鹽檢測方法 8 2-1-4青江菜 9 2-2光譜檢測技術 10 2-2-1近紅外光檢測技術 10 2-2-2小型近紅外光光譜儀 13 2-2-3多光譜檢測技術 14 2-3 市售小型光譜儀 15 2-3-1傳統光譜儀 15 2-3-2光學濾光型光譜儀 16 2-3-3 DLP波段選別光譜儀 18 第三章 材料與方法 20 3-1實驗材料 20 3-1-1青江菜 20 3-1-2青江菜粉 21 3-2實驗設備 22 3-2-1實驗室型近紅外光分光光度計 22 3-2-2市售小型光譜儀 26 3-2-3台灣大學植物工廠 28 3-3 實驗方法 28 3-3-1標準品配置 28 3-3-2青江菜栽培 29 3-3-3化學比色法 30 3-3-4光譜資訊擷取 31 3-3-5小型光譜儀基本性能 32 3-3-6特徵波長尋找 33 3-3-7光譜資訊分析 34 第四章 結果與討論 38 4-1 市售小型光譜儀檢測結果 38 4-2硝酸鹽濃度分析結果 48 4-3青江菜中檢量線建立結果 51 第五章 結論 63 參考文獻 65 附錄 73 | |
dc.language.iso | zh-TW | |
dc.title | 應用小型攜帶式光譜設備進行葉菜硝酸鹽含量快速檢測之研究 | zh_TW |
dc.title | Study on Portable Mini-Specrometers for Rapid Inspection of Nitrate Concentration in Leafy Vegetable | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李允中(yeun-chung lee),艾群(Chyung Ay),雷鵬魁(Perng-Kwei Lei),楊宜璋(I-Chang Yang) | |
dc.subject.keyword | 非破壞性檢測,近紅外光,小型光譜儀,青江菜,硝酸鹽檢測, | zh_TW |
dc.subject.keyword | Non-destructive detection,NIR,mini-spectrometers,Bok choy,Nitrate, | en |
dc.relation.page | 84 | |
dc.identifier.doi | 10.6342/NTU201603425 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-08-21 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
顯示於系所單位: | 生物機電工程學系 |
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