Rapid Determination of Fatty Acids in Soybean Oils by Transmission Reflection-Near Infrared Spectroscopy

被引:0
|
作者
Song Tao [1 ]
Zhang Feng-ping [1 ,2 ]
Liu Yao-min [1 ]
Wu Zong-wen [1 ]
Suo You-rui [3 ]
机构
[1] Inspect Ctr Tongwei Co Ltd, Chengdu 610041, Peoples R China
[2] Shanghai Ocean Univ, Coll Food Sci & Technol, Shanghai 201306, Peoples R China
[3] Chinese Acad Sci, NW Inst Plateau Biol, Xining 810008, Peoples R China
关键词
Near-infrared spectroscopy; Transmission reflection; Modified partial least square; Fatty acid; Soybean oil; FISH-OIL; GROWTH-PERFORMANCE; REPLACEMENT;
D O I
10.3964/j.issn.1000-0593(2012)08-2100-05
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
In the present research, a novel method was established for determination of five fatty acids in soybean oil by transmission reflection-near infrared spectroscopy. The optimum conditions of mathematics model of five components(C16 : 0, C18 : 0, C18 : 1, C18 : 2 and C18 : 3) were studied, including the sample set selection, chemical value analysis, the detection methods and condition. Chemical value was analyzed by gas chromatography. One hundred fifty eight samples were selected, 138 for modeling set, 10 for testing set and 10 for unknown sample set. All samples were placed in sample pools and scanned by transmission reflection-near infrared spectrum after sonicleaning for 10 minute. The 1100 similar to 2 500 nm spectral region was analyzed. The acquisition interval was 2 nm. Modified partial least square method was chosen for calibration mode creating. Result demonstrated that the 1-VR of five fatty acids between the reference value of the modeling sample set and the near infrared spectrum predictive value were 0.883 9, 0.583 0, 0.900 1, 0.977 6 and 0.959 6, respectively. And the SECV of five fatty acids between the reference value of the modeling sample set and the near infrared spectrum predictive value were 0.42, 0.29, 0.83, 0.46 and 0.21, respectively. The standard error of the calibration (SECV) of five fatty acids between the reference value of testing sample set and the near infrared spectrum predictive value were 0.891, 0.790, 0.900, 0.976 and 0.942, respectively. It was proved that the near infrared spectrum predictive value was linear with chemical value and the mathematical model established for fatty acids of soybean oil was feasible. For validation, 10 unknown samples were selected for analysis by near infrared spectrum. The result demonstrated that the relative standard deviation between predict value and chemical value was less than 5.50%. That was to say that transmission reflection-near infrared spectroscopy had a good veracity in analysis of fatty acids of soybean oil.
引用
收藏
页码:2100 / 2104
页数:5
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