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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物機電工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44884
完整後設資料紀錄
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dc.contributor.advisor蕭介宗(Jai-Tsung Shaw)
dc.contributor.authorChen-Huang Chouen
dc.contributor.author周震煌zh_TW
dc.date.accessioned2021-06-15T03:57:19Z-
dc.date.available2010-07-22
dc.date.copyright2010-07-22
dc.date.issued2010
dc.date.submitted2010-06-10
dc.identifier.citation1. 中國國家標準(CNS)。2002。冷藏魚類檢驗。總號9636。類號N5199。台灣:中央標準局。
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14. 蕭介宗、駱秋英、陳力騏、劉昌群、洪淑玲、蘇淑禎。2004。豬肉鮮度指標與近紅外線光譜值相關性之探討。農業機械學刊13(4):27-36。
15. 蕭介宗、周震煌、劉昌群。2005。以機器視覺與可見光/近紅外光應用於畜肉之分類。出自“農牧漁業生產及加工作業之品質偵測技術國際研討會”,II1~II9。台北:財團法人農業機械化研究發展中心。
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37. Downey, G. and D. Beauchene. 1997. Discrimination between fresh and frozen-then-thawed beef m. longissimus dorsi by combined visible-near infrared reflectance spectroscopy: A feasibility study. Meat Science 45(3): 353-363.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44884-
dc.description.abstract研究以Bran-Luebbe InfraAlyzer 500光譜分析儀之外接雙光束用來量測絞碎豬里脊肉的蒸餾水萃取液在波長範圍600-1368 nm之吸收值,配合量測之pH值、揮發性鹽基態氮(VBN)和生菌數(APC)三個新鮮度指標來建立迴歸模式。120個絞碎豬小里脊肉樣本儲存在7oC溫度共5天,部份最小平方回歸(PLSR)模式所預測的VBN值與實際量測的VBN值的相關係數為0.83,而對200組絞碎小里脊肉樣本的新鮮度判定,平均鑑別率是90.5%。量測45個黑毛豬小里脊肉、30個白毛豬小里脊肉和30個牛肉里脊肉的蒸餾水萃取液樣本,選取在652-668 nm及804-836 nm (每4 nm取一個)和1320 nm共15個光譜值,以主成分分析(PCA)所建立的分類校正模式,在5%顯著性水準(p<0.05),分辨25個黑毛豬、15個白毛豬和15個牛肉共有55個驗證組樣本,鑑別率為83.8%。在雞腿距離骨柄5 cm處,另用FOSS NIRSystem 6500近紅外線光譜儀的外接光纖探針量測45國產冷藏與45進口冷凍再解凍雞腿之光譜吸收值(波長範圍400-2200nm),以Unscrambler軟體的PLSR法,搭配虛擬回歸技術(DRT),在不同波段、分類規範與各種變數量建立9種校正模式,國產冷藏與進口冷凍再解凍雞腿之平均鑑別率從76.7% 到93.3%。zh_TW
dc.description.abstractA dual-beam Bran-Lubbe InfraAlyzer 500 spectrophotometer was used to measure the absorbance of distilled water filtrate of 120 ground pork tenderloin samples at wavelength 600-1368 nm region, and to construct three fresh prediction models of pH values, volatile basic nitrogen (VBN) values and aerobic plate counts (APC) during 5 days storage at 7oC. The correlation coefficient of the measured and the predicted VBN values based on the partial least square regression (PLSR) model was 0.83. Using 200 ground tenderloin samples for validation, the average accuracy was 90.5%. The absorbance of 15 selected wavelengths from sample extracts of 45 black-hair hogs, 30 white-hair hogs and 30 beefs in the range of 652-668 nm and 804-836 nm (with 4 nm interval) and 1320 nm, the developed principal component analysis (PCA) calibration model was used to validate samples of 25 black-hair hogs, 15 white-hair hogs and 15 beefs, and had 83.6% classification rate at 5% significance level. From 400 to 2200 nm with 2 nm interval, an extension fiber optic probe of FOSS NIRSystem 6500 was used to measure the absorbance of chicken thighs at 5 cm from the end of Tibia bone. The measured data were used to establish 9 calibration models by PLSR of Unscrambler software with dummy regression techniques under different wavelength ranges and criteria with different variables. Using the established models for distinguishing the local chilled storage from the imported frozen-then-thaw chicken thighs, the average discrimination rate varied from 76.7% to 93.3%.en
dc.description.provenanceMade available in DSpace on 2021-06-15T03:57:19Z (GMT). No. of bitstreams: 1
ntu-99-D92631001-1.pdf: 864854 bytes, checksum: 920fbb87e650e84ee42c2da8ea2c67f9 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents目錄
誌謝 ------------------------------------------------------------------------------------------------ i
中文摘要 ------------------------------------------------------------------------------------------ ii
英文摘要 ----------------------------------------------------------------------------------------- iii
目錄 ----------------------------------------------------------------------------------------------- iv
圖目錄 --------------------------------------------------------------------------------------------- v
表目錄 ------------------------------------------------------------------------------------------- vii
英文縮寫及符號說明-------------------------------------------------------------------------- viii
第一章 前言--------------------------------------------------------------------------------- 1
第二章 以可見光/近紅外線光譜判別絞碎豬小里脊肉之新鮮度----------------- 4
第三章 機械視覺與可見光/近紅外光應用於畜肉之分類 ------------------------21
第四章 以可見光/近紅外線光譜值鑑別國產冷藏與進口冷凍再解凍雞腿----38
第五章 結論--------------------------------------------------------------------------------59
第六章 建議--------------------------------------------------------------------------------60
參考文獻 --------------------------------------------------------------------------------------61
附錄一 作者介紹
dc.language.isozh-TW
dc.subject分類zh_TW
dc.subject可見光/近紅外線光譜儀zh_TW
dc.subject萃取液zh_TW
dc.subject新鮮度zh_TW
dc.subjectExtractsen
dc.subjectClassificationen
dc.subjectFreshnessen
dc.subjectVisible/Near-infrared spectrophotometeren
dc.title近紅外線光譜用於肉品分類與新鮮度之鑑別zh_TW
dc.titleMeat Classification and Freshness Determination Using Near Infrared Spectroscopyen
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree博士
dc.contributor.oralexamcommittee王文政(Wen-Chen Wang),李允中(Yun-Choug Lee),周楚洋(Chu-Yang Chou),陳力騏(Richie L.C. Chen)
dc.subject.keyword可見光/近紅外線光譜儀,萃取液,新鮮度,分類,zh_TW
dc.subject.keywordVisible/Near-infrared spectrophotometer,Extracts,Freshness,Classification,en
dc.relation.page68
dc.rights.note有償授權
dc.date.accepted2010-06-15
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
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