DC 欄位 | 值 | 語言 |
dc.contributor | 盧福明 | zh-TW |
dc.contributor | 臺灣大學:生物產業機電工程學研究所 | zh-TW |
dc.contributor.author | 吳佳廸 | zh-TW |
dc.contributor.author | Wu, Chia-Ti | en |
dc.creator | 吳佳廸 | zh-TW |
dc.creator | Wu, Chia-Ti | en |
dc.date | 2009 | en |
dc.date.accessioned | 2010-05-05T08:50:09Z | - |
dc.date.accessioned | 2018-07-10T03:57:18Z | - |
dc.date.available | 2010-05-05T08:50:09Z | - |
dc.date.available | 2018-07-10T03:57:18Z | - |
dc.date.issued | 2009 | - |
dc.identifier.other | U0001-0908200900200800 | en |
dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/180250 | - |
dc.description.abstract | 本研究主要目的是探討近紅外光技術檢測單粒白米蛋白質之可行性。單粒白米蛋白質檢測係利用近紅外光多光譜影像系統,波長範圍分別為890、910、920、990及1,014 nm,並選擇10種不同白米樣本檢測單粒白米蛋白質含量。以多重線性迴歸(MLR)分析近紅外光多光譜影像之檢測結果顯示,選用890、910、920、990及1,014 nm之波長組合,MLR分析所得之單粒白米蛋白質含量校正模式之判定係數r2為0.821,預測模式之判定係數r2為0.464。結果顯示,應用近紅外光技術檢測單粒白米蛋白質在碾米加工線上具有可行性。 | zh-TW |
dc.description.abstract | The objective of this research was to detect protein content of single rice kernel using near-infrared technique. The near-infrared multi-spectral imaging system with detection wavelength at 890, 910, 920, 990, and 1014 nm was adopted for measuring protein content of single rice kernel. The rice samples were collected from ten different cultivars to determine the protein content. The multiple linear regression (MLR) analysis was adopted for predicting rice protein content by near-infrared multi-spectral imaging. The coefficients of determination (r2) for the calibration and validation sets based on 890, 910, 920, 990, and 1014 nm were 0.821 and 0.464 respectively. The result shows that it is feasible to use near-infrared technique to determine protein content of single rice kernel in the rice milling processing. | en |
dc.description.tableofcontents | 誌謝…………………………………………………………………………i要…………………………………………………………………………iibstract………………………………………………………………………iii錄…………………………………………………………………………iv目錄………………………………………………………………………vi目錄………………………………………………………………………viii號說明……………………………………………………………………ix一章 前言……………………………………………………………………1.1 研究背景…………………………………………………………… 1.2 研究目的……………………………………………………………2二章 文獻探討……………………………………………………………3.1 稻米簡介…………………………………………………………3.2 稻米主要成份及食味影響.………………………………………4.3 非破壞性快速品質檢測…………………………………………6.4 應用近紅外光分光光度計於穀物檢測之研究………………8.5 應用近紅外光光譜影像於穀物檢測之研究…………………11.6 近紅外光基本原理………………………………………………13.7 近紅外光光譜之定量分析………………………………………16.8 近紅外光光譜校正線建立流程………………………………………17.9 近紅外光光譜資料分析……………………………………………19.10 近紅外光光學檢測設備…………………………………………20.10.1 光源…………………………………………………………20.10.2 分光器………………………………………………………20.10.3 感測器………………………………………………………20三章 實驗設備與方法……………………………………………………22.1 實驗樣本………………………………………………………………23.2 儀器設備………………………………………………………………25.2.1 近紅外光光譜檢測系統架構………………………………25.2.2 進料槽道………………………………………………29.2.3 近紅外光光譜影像擷取系統………………………………32 3.3 實驗流程………………………………………………………………38 3.4 化學分析……………………………………………………………42四章 結果與討論…………………………………………………………45.1 化學分析結果…………………………………………………46.2 不同樣本於近紅外光光譜影像分析之結果………………………48.3 多重線性迴歸(MLR)分析之比較………………………………… 54五章 結論與建議……………………………………………………………59 5.1 結論………………………………………………………… 59 5.2 建議…………………………………………………………59考文獻……………………………………………………………………61 | en |
dc.format | application/pdf | en |
dc.format.extent | 2269081 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | zh-TW | en |
dc.language.iso | en_US | - |
dc.subject | 近紅外光 | zh-TW |
dc.subject | 多光譜影像 | zh-TW |
dc.subject | 單粒白米 | zh-TW |
dc.subject | 蛋白質含量 | zh-TW |
dc.subject | NIR | en |
dc.subject | Multi-spectral imaging | en |
dc.subject | Single rice kernel | en |
dc.subject | Protein content | en |
dc.title | 應用近紅外光技術檢測單粒白米蛋白質 | zh-TW |
dc.title | Detecting the Protein Content of Single Rice Kernel Using Near Infrared Technique | en |
dc.type | thesis | en |
dc.identifier.uri.fulltext | http://ntur.lib.ntu.edu.tw/bitstream/246246/180250/1/ntu-98-R94631010-1.pdf | - |
item.fulltext | with fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.grantfulltext | open | - |
item.openairetype | thesis | - |
item.languageiso639-1 | en_US | - |
顯示於: | 生物機電工程學系
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