Fourier transform near-infrared spectroscopy coupled to a long fibre optic head for the quality control of IBERIAN pork loins: Intact versus minced

被引:12
作者
Caceres-Nevado, J. M. [1 ]
Garrido-Varo, A. [1 ]
De Pedro-Sanz, E. [1 ]
Perez-Marin, D. C. [1 ]
机构
[1] Univ Cordoba, Agrifood Campus Int Excellence CeiA3, Fac Agr & Forestry Engn, Dept Anim Prod, Campus Rabanales,N-4,Km 396,Edificio Prod Anim, Cordoba 14014, Spain
关键词
Iberian pig loin; FT-NIR spectroscopy; Fibre optic probe; Intact and minced meat analysis; Chemical composition; REFLECTANCE SPECTROSCOPY; PREDICT MEAT; INTRAMUSCULAR FAT;
D O I
10.1016/j.meatsci.2019.03.008
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Conventional chemical analyses of meat products are time-consuming, expensive and destructive. The advantages of NIR spectroscopy are its speed, portability, suitability for both at-line and on-line analysis, low cost and the possibility of simultaneously measuring many different parameters in a large number of samples. The purpose of this study was to develop and validate calibrations for the prediction of moisture, protein and fat in Iberian pig pork loins using an FT-NIR instrument coupled to a 5-m fibre optic sensor head. The best equations obtained for intact loin in both modes of analysis (full and optimal spectral range) displayed Standard Error of Cross-Validation (RMSECV) of 1.06% and 1.09% and Determination Coefficient of Cross-Validation (R-CV(2)) of 0.69 and 0.77 for fat: RMSECV of 0.87% and 0.77% and R-CV(2) of 0.67 and 0.73 for moisture; while for protein, the RMSECV values were 0.51% and 0.49% and the R-CV(2) values were 0.66 and 0.70.
引用
收藏
页码:86 / 93
页数:8
相关论文
共 43 条
  • [1] Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy
    Barlocco, N
    Vadell, A
    Ballesteros, F
    Galietta, G
    Cozzolino, D
    [J]. ANIMAL SCIENCE, 2006, 82 : 111 - 116
  • [2] STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA
    BARNES, RJ
    DHANOA, MS
    LISTER, SJ
    [J]. APPLIED SPECTROSCOPY, 1989, 43 (05) : 772 - 777
  • [3] Study of dissected lamb muscles by visible and near infrared reflectance spectroscopy for composition assessment
    Cozzolino, D
    Murray, I
    Scaife, JR
    Paterson, R
    [J]. ANIMAL SCIENCE, 2000, 70 : 417 - 423
  • [4] Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy
    Cozzolino, D
    Murray, I
    [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2002, 10 (01) : 37 - 44
  • [5] DEPEDRO E, 1992, ELLIS HOR S, P345
  • [6] Esbensen K.H., 2014, NIR News, V25, P24, DOI DOI 10.1255/NIRN.1462
  • [7] Predicting of intramuscular fat content in pork using near infrared spectroscopy and multivariate analysis
    Fan, Yuxia
    Liao, Yitao
    Cheng, Fang
    [J]. INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2018, 21 (01) : 1180 - 1189
  • [8] Standardisation and calibration transfer for near infrared instruments: a review
    Fearn, T
    [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2001, 9 (04) : 229 - 244
  • [9] Fearn T., 2014, NIR news, V25, P32, DOI [10.1255/nirn.1464, DOI 10.1255/NIRN.1464]
  • [10] Optimisation of the spectral pre-treatments used for Iberian pig fat NIR calibrations
    Fernandez-Cabanas, V. M.
    Garrido-Varo, A.
    Garcia Olmo, J.
    De Pedro, E.
    Dardenne, P.
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2007, 87 (01) : 104 - 112