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傅立叶变换近红外光谱法快速评价涪陵榨菜品质 被引量:8

Evaluation of Quality Parameters in Fuling Mustard Tuber by Fourier Transform Near Infrared Spectroscopy
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摘要 应用傅立叶变换近红外光谱技术,建立了评价涪陵榨菜品质的定量分析模型。测定了58份涪陵榨菜的近红外光谱数据,通过光谱预处理方法消除噪声,以偏最小二乘法(PLS)建立回归模型。最终得到评价其品质的水分、总酸(以乳酸计)和氨基酸含量近红外光谱分析模型的决定系数(R2)依次为0.957 8、0.975 4、0.950 4,交叉验证均方差(RMSECV)依次为0.107、0.017 1、0.036 3。用该模型对18份未知涪陵榨菜样本进行外部验证,其水分、总酸和氨基酸外部验证的决定系数依次为0.956 2、0.953 9、0.946 0,预测集标准偏差(RMSEP)依次为0.256、0.034 7、0.038 8。内部交叉验证和外部验证均证明,近红外定量分析有较高的准确度,能满足生产中对涪陵榨菜品质检测的精度要求。 In this paper, the evaluation of moisture, total acid( lactic acid) and amino acid in Fuling mustard tuber by Fourier transform near-infrared spectroscopy (FT -NIRS)was studied. The original spectra of 58 calibration samples of Fuling mustard tuber were obtained using FT - NIRS machine, and processed with math analysis such as first derivative, straight line subtraction, multiplicative scattering correction and min -max normalization to decrease the noise. The partial least squares(PLS) calibration models were established under the optimal conditions to predict the content of moisture, total acid ( lactic acid) and amino acid. Determination coefficient ( R^2 ), root-meansquare error of cross-validation (RMSECV) and root-mean-square error of prediction (RMSEP) were used to evaluate the quality of the model. The R^2 and RMSECV of the model for moisture, total acid and amino acid were 0. 957 8, 0. 975 4, 0. 950 4, and 0. 107, 0. 017 1, 0. 036 3, respectively, while the R^2 and RMSEP for them three were 0. 956 2, 0. 953 9, 0. 946 0 and 0. 256, 0. 034 7, 0. 038 8 in test set validation, respectively. By statistical significance test, the determination results were compared with those of standard methods without significant difference at 0. 05 level. Internal and external cross-certification test showed that near-infrared quantitative analysis could meet the requirement of prediction of moisture, total acid and amino acid content of Fuling mustard tuber in production with high accuracy.
出处 《分析测试学报》 CAS CSCD 北大核心 2011年第2期190-193,共4页 Journal of Instrumental Analysis
基金 重庆市科委科技攻关项目(CSTC2010AC5170)
关键词 近红外光谱法 涪陵榨菜 水分 总酸 氨基酸 near infrared spectroscopy Fuling mustard tuber moisture total acid amino acid
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  • 1褚小立,袁洪福,陆婉珍.近红外分析中光谱预处理及波长选择方法进展与应用[J].化学进展,2004,16(4):528-542. 被引量:587
  • 2于海燕,应义斌,刘燕德.农产品品质近红外光谱分析结果影响因素研究综述[J].农业工程学报,2005,21(11):160-163. 被引量:32
  • 3史永刚,刘绍璞,宋世远,张洁,李子存.基于支持向量机的汽油族组成近红外光谱分析方法研究[J].分析测试学报,2007,26(3):343-346. 被引量:14
  • 4章善生.中国酱腌菜[M].中国商业出版社,1994,3..
  • 5MCLURE W F. 204 Years of near infrared technology: 1800 - 2003 [ J]. J Near Infrared Spectrosc, 2003, 11 (6) : 487 -518.
  • 6DONALD A B, EMIL W C. Handbook of near-infrared analysis[M]. New York: Marcel Cekker Inc, 1992.
  • 7CHUNG H, ARNOLD M A. Near-infrared spectroscopy for monitoring of starch hydrolysis [ J ]. Appl Spectrosc, 2000, 54(2) : 277 -283.
  • 8JEROME J, WORKMAN J R. Review of process and non-invasive near-infrared and infrared spectroscopy: 1993 -1999 [J]. Appl Spectrosc Rev, 1999, 34(1/2) : 1 -89.
  • 9WORKMAN J, JR K M, VELTKAMP D. Process analytical chemistry[J]. Anal Chem, 2007, 79(12) : 4345 -4364.
  • 10BLANCO M, SERRANO D. On-line monitoring and quantification of a process reaction by near-infrared spectroscopy. Catalysed esterification of butan-1-ol by acetic acid[J]. Analyst, 2000, 125(11) : 2059 -2064.

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