Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/35560
標題: 便攜型近紅外光譜儀量測性能之評估
Evaluation of the Measurement Ability for Portable Near Infrared Spectroscopy
作者: 陳亮淵
Chen, Liang-Yuan
關鍵字: Near infrared spectroscopy
近紅外光譜
accuracy
precision
single-beam
精準度
精密度
單光徑
出版社: 生物產業機電工程學系所
引用: [1] 方嘉德、李得元、李得响、姜仁章 譯。1997。基礎分析化學。第七版(下册),574-576。台北:美亞書版。 [2] 量測不確定度評估理論與實務。2001。工業技術研究院量測技術發展中心。新竹。 [3] 賀全慶。2007。量測精準度的統計推論。中華民國品質學會第43 屆年會暨第13 屆全國品質管理研討會。 [4] 劉建學。2008。實用近紅外光譜分析技術。第一版。北京:科學。 [5] 嚴衍祿。2005。近紅外光譜分析基礎與應用。第一版。北京:中國輕工業。 [6] Abrahamsson, C., J. Johansson, A. Sparén and F. Lindgren. 2003. Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets. Chemometrics and Intelligent Laboratory Systems 69: 3-12. [7] Blanco, M., J. Cruz and M. Bautista. 2008. Development of a univariate calibration model for pharmaceutical analysis base on NIR spectra. Anal Bioanal Chem 392: 1367-1372. [8] Brummer, R. 2006. Rheology Essentials of Cosmetic and Food Emulsions. Springer [9] Burns, D. A. and E. W. Ciurczak, 1992. Handbook of Near-Infrared Analysis. 1sted., 7-11. New York:MARCEL DEKKER [10] Menditto, A., M. Patriarca and B. Magnusson. 2007. Understanding the meaning of accuracy, trueness and precision. Accred Qual Assur 12: 45-47. [11] Myers, R. H. 2000. Classical and Modern Regression with Applications. 2th ed. Pacific Grove, CA: Duxbury. [12] Næs, T., T. Isaksson, T. Fearn and T. Davies. 2002. A User-Friendly Guide to Multivariate Calibration and Classification. UK: NIR Publications. [13] Scarff, M., S. A. Arnold, L.M. Harvey and B. McNeil. 2006. Near Infrared Spectroscopy for Bioprocess Monitoring and Control:Current Status and Future Trends. Critical Reviews in Biotechnology 26:17-39 [14] Siesler, H. W., Y. Ozaki, S. Kawata and H. M. Heise. 2002. Near-Infrared Spectroscopy:Principles,Instruments,Applications. 1sted. 11-16.Germany:WILEY-VCH [15] Williams, P. and K. Norris. 1987. Near-Infrared Technology:in the Agricultural and Food Industries. 1sted. 2-9. USA:American Association of Cereal Chemists,Inc. [16] Wold, S., M. Sjöström and L. Eriksson. 2001. PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems 58: 109-130.
摘要: 近紅外光譜量測技術具有樣本預處理簡單、量測反應速度快與低污染等特性,符合近代所發展量測技術的訴求。單光徑(single-beam)型近紅外光譜儀雖便於攜帶,但準確度仍須審慎評估。 本研究以不同重覆次數之實驗來探討單光徑近紅外光譜儀量測之準確度(trueness)與精密度(precision)。研究結果顯示,在波長低於1350奈米之範圍,去離子水之透射吸收度之量測準確度優於 ±0.0039,精密度為0.0020。於葡萄糖錠反射吸收度量測之準確度介於±0.0095 ~ ±0.0215,精密度優於0.0156。整體取超過30次重覆對不同濃度氯化鈉水溶液進行建模可得到較佳之模式。
Near infrared spectroscopy technology has the following characteristics: simple sample pretreatment, fast measure response and lower pollution. It could conform the demand of the modern measuring technique. The type of the single-beam NIR spectroscopy is portable. However, the measurement accuracy should be evaluated carefully. In this study, trueness and precision of the single-beam near-infrared spectroscopy with different experimental repeats was studied. The result indicated that as the wavelength range below 1350nm, the measurement trueness of the transmitted absorbance for deionized water is better than 0.0039, and the preicision is better than 0.0020. The measurement trueness of the reflected absorbance for glucose tablet is ranged between 0.0095 ~ 0.0215, and the preicision is better than 0.0156. The 30 repeats of measurement for different concentrations of sodium chloride peroxide solution could obtain the better performance.
URI: http://hdl.handle.net/11455/35560
其他識別: U0005-0108200917453600
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0108200917453600
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