Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/97798
標題: 穿透光譜與豪氏單位應用於雞蛋新鮮度之研究
Assessment of Egg Freshness by Using Transmission Spectral and Haugh Unit
作者: 鍾善宇
Shan-Yu Jung
關鍵字: 光譜
豪氏單位
檢量線
新鮮度
Spectroscopy
Haugh unit
Calibration curve
Freshness
引用: 1. 中華民國養雞協會。2017。近期蛋雞產銷資訊分析。 2. 王信智。2005。近紅外線光譜技術應用在斷心鳳梨選別之研究。碩士論文。國立中興大學。 3. 余宗霖。2017。非破壞性光譜檢測方法用於雞蛋新鮮度之研究。碩士論文。國立中興大學。 4. 杜威霆。2009。光譜標準化模式應用於水果糖度檢測之研究。碩士論文。國立臺灣大學。 5. 林瑞蓬。2002。蛋雞產業策略聯盟-24小時新鮮雞蛋。農政與農情 第124期。 6. 陳猛。2015。雞蛋新鮮度和血斑蛋光譜技術在線檢測研究。碩士論文。浙江大學。 7. 陳芊伃。2016。以非破壞性敲擊方式判別殼蛋水紋與裂痕之可行性及貯存期間殼蛋品質之評估。碩士論文。國立中興大學。 8. 陳怡兆。2012。凍藏溫度對蛋黃品質之影響。碩士論文。國立中興大學。 9. 馮超俊。2005。台灣地區雞蛋宅配之可行性研究—以行銷觀點。碩士論文。國立中山大學。 10. 蔡昇祐。2016。禽蛋孵化自動化檢測系統之開發。碩士論文。國立中興大學。 11. 潘南飛。2003。工程統計。全威圖書。台北。 12. 謝雨生、鄭宜農。1993。多元迴歸分析的假定與實例檢討-多元線性重合現象的診斷與處理。農業推廣學報10期。p189-213。 13. 鍾昭台。2003。近紅外線光譜技術應用於蓮霧糖度檢測之研究。 碩士論文。國立中興大學。 14. Bamelis, F. R., Kemps, B. J., Mertens, K., Ketelaere, B.D., Tona, K., Decuypere, E. M., & Baerdemaeker, J. G. DE. 2006. Visible transmission spectroscopy for the assessment of egg freshness. Journal of Science of Food and Agriculture, 86:1399-1406. 15. Gonzalez, Rafael C. & Woods, Richard E. 2008. Digital Image Processing. 3rd ed., United States: Prentice Hall. 16. Kemps BJ, De Ketelaere B, Bamelis FR, Mertens K, Decuypere EM, De Baerdemaeker JG & Schwägele F. 2007. Albumen freshness assessment by combining visible near-infrared transmission and low-resolution proton nuclear magnetic resonance spectroscopy. Poultry Science, Volume 86, Issue 4, 1 April 2007, Pages 752–759. 17. Li-Chan, E. 1989. Biochemical basis for the properties of egg white. CRC Crit. Rev. Poultry Biol. 2: 21-58. 18. Mohammad Aboonajmi, Amir Saberi, Tooraj Abbasian Najafabadi & Naoshi Kondo. 2016. Quality Assessment of Poultry Egg Based on Visible–Near Infrared Spectroscopy and Radial Basis Function Networks. International Journal of Food Properties, 17:10, 2166-2176. 19. Mohammad Aboonajmi & Tooraj Abbasian Najafabadi. 2014. Prediction of Poultry Egg Freshness Using Vis-Nir Spectroscopy with Maximum Likelihood Method. International.Journal of Food Properties, 17:10, 2166-2176. 20. Nicolas Abdel-Nour, Michael Ngadi, Shiv Prasher & Yousef Karimi. 2011. Prediction of Egg Freshness and Albumen Quality Using Visible/Near Infrared Spectroscopy. Food Bioprocess Technol, 4:731–736. 21. Raji A. O., J. Aliyu, J. U. Igwebuike & S. Chiroma. 2009. Effects of Storage Methods and Time on Egg Quality Traits pf Laying Hens in A Hot Dry Climate 22. Rahmelow, K., W. Hübner, and T. Ackermann. 1998. Infrared absorbances of protein side chains. Anal. Biochem. 257:1–11. 23. Samli, H., A. Agma and N. Senkoylu . 2005. 'Effects of storage time and temperature on egg quality in old laying hens.' Journal of applied poultry research 14(3): 548-553. 24. U.S. Department of Agriculture(USDA). 2000. Egg-grading Manual: Determining Interior Quality by The Breakout Method. P. 34-35. Accessed July 2000.Avaliable at:www.ams.usda.gov/poyltry/pdfs/Egg Grading%20manual.PDF
摘要: 根據行政院農委會統計,零售蛋佔國內雞蛋市場相當大的比例,隨著近年來食安意識的上漲,零售蛋的品質管理也應受到重視,故本研究以光譜響應數據和豪氏單位、蛋黃係數、蛋黃及蛋白pH值進行多元線性迴歸分析,建立相關之檢量線,以進行蛋品品質評估。 由養雞場購入當日產出未受精之白殼蛋及紅殼蛋,並置於常溫常濕之儲存環境,拍攝光譜響應數據後立即破蛋,以獲得欲量測之蛋品品質參數,共計白殼蛋及紅殼蛋各300顆,對光譜響應數據進行標準化及標準常態變數(Standard Normal Variate, SNV)等光譜預處理,以多元線性迴歸(Multiple Linear Regression, MLR)建立相關之檢量線並比較其預測能力,另取市售之白殼及紅殼洗選蛋各60顆評估檢量線對其之預測能力。結果顯示,白殼蛋及紅殼蛋之四項蛋品品質參數皆以SNV處理後所建立之檢量線有較佳的預測能力,其中以對豪氏單位之檢量線有最高的判定係數(coefficient of determination, r2),白殼蛋之校正組和預測組r2分別為0.812和0.804;紅殼蛋之校正組和預測組r2分別為0.806和0.807。
According to the statistics of Council of Agriculture, Executive Yuan, retail eggs account for a large proportion of the domestic egg market. With the rising awareness of food safety in recent years, the quality management of retail eggs should also be valued. Therefore, this study attempted to use transmission response data and Haugh unit, Yolk index, Yolk and Albumen pH with multiple linear regression, and established relevant calibration curves for egg quality assessment. The unfertilized white shell eggs and brown shell eggs were purchased on the day from the chicken farm, each color was 300 and placed in room temperature and humidity storage environment. After the transmission response data was taken, immediately the egg's shell was peeled to obtain the egg quality parameters to be measured. Transmission response data were subjected to spectral preprocessing, such as traditional normalization and Standard Normal Variate (SNV). Multiple linear regression (MLR) was used to establish the relevant calibration curves and compared the predicted capabilities. In addition, white shell and brown shell washed eggs were 60 respectively, used to test calibration curves. The result showed that the calibration curves established after SNV processing has better predicted capabilities. Calibration curves for Haugh unit had the highest coefficient of determination (r2). The r2 for calibrated group and predicted group of white shell eggs were 0.812 and 0.804;For brown shell eggs were 0.806 and 0.807.
URI: http://hdl.handle.net/11455/97798
文章公開時間: 2021-08-23
Appears in Collections:生物產業機電工程學系

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