Near Infrared Reflectance Spectroscopy (NIRS) and Its Application in the Determination for the Quality of Animal Feed and Products

被引:7
|
作者
Wang Li [1 ,2 ]
Meng Qing-xiang [1 ]
Ren Li-ping [1 ]
Yang Jian-song [1 ]
机构
[1] China Agr Univ, Coll Anim Sci & Technol, Natl Key Lab Anim Nutr, Beijing 100193, Peoples R China
[2] China Agr Univ, Coll Sci, Beijing 100193, Peoples R China
关键词
Near infrared reflectance spectroscopy (NIRS); Feed; Animal products; Determination of characteristics; Application; CHEMICAL-COMPOSITION; SENSORY CHARACTERISTICS; PORK QUALITY; MEAT SAMPLES; PREDICTION; BEEF; COLOR; FEASIBILITY; MUSCLE; FAT;
D O I
10.3964/j.issn.1000-0593(2010)06-1482-06
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Near-infrared reflectance spectroscopy (NIRS) has been the most rapidly developing and noticeable spectrographic analytical technique in recent years. The determining principle and progresses of near-infrared reflectance spectroscopy are presented briefly. It mainly includes the progresses in pre-processing technique and analyzing model of near-infrared reflectance spectroscopy. Two pre-processing techniques, including differential coefficient-dealt with technique, the signal-smoothing technique, and four analyzing models of near-infrared spectroscopy, including the multiplied lined regression (MLR), principal component analysis (PCA), partial least squares (PLS), and artificial nerve network (ANN). The application of near-infrared reflectance spectroscopy to the first time. The investigation of reviewed papers shows that the near- infrared reflectance spectroscopy is widely applied in feed analysis and animal products analysis because of its rapidness, non-destruction and non-pollution. The near infrared reflectance spectroscopy has been used to determine the feed common ingredient, such as dry matter, crude protein, crude fiber, crude fat and so on, micro-components including amino acid, vitamin, and noxious components, and to determine the physical and chemical properties of animal products which including egg, mutton, beef and pork. Details of the analytical
引用
收藏
页码:1482 / 1487
页数:6
相关论文
共 41 条
  • [11] FRED MW, 1994, ANAL CHEM, V66, pA43
  • [12] Prediction of pork quality attributes from near infrared reflectance spectra
    Geesink, GH
    Schreutelkamp, FH
    Frankhuizen, R
    Vedder, HW
    Faber, NM
    Kranen, RW
    Gerritzen, MA
    [J]. MEAT SCIENCE, 2003, 65 (01) : 661 - 668
  • [13] Near-infrared spectroscopy (NIRS) reflectance technology for the determination of tocopherols in alfalfa
    Gonzalez-Martin, I.
    Hernandez-Hierro, J. M.
    Bustamante-Rangel, M.
    Barros-Ferreiro, N.
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2006, 386 (05) : 1553 - 1558
  • [14] Determination of fatty acids in the subcutaneous fat of Iberian breed swine by near infrared spectroscopy (NIRS) with a fibre-optic probe
    González-Martín, I
    González-Pérez, C
    Hernández-Méndez, J
    Alvarez-García, N
    [J]. MEAT SCIENCE, 2003, 65 (02) : 713 - 719
  • [15] Remote probabilistic controlled-NOT operation using atomic ensembles
    Han, C
    Guo, GC
    [J]. JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS, 2006, 39 (01) : 1 - 6
  • [16] Perspective of NIRS measurements early post mortem for prediction of pork quality
    Hoving-Bolink, AH
    Vedder, HW
    Merks, JWM
    de Klein, WJH
    Reimert, HGM
    Frankhuizen, R
    van den Broek, WHAM
    Lambooij, EE
    [J]. MEAT SCIENCE, 2005, 69 (03) : 417 - 423
  • [17] JACKSON DA, 1996, P AUST POULT SCI S, P46
  • [18] LI Q, 2005, CHINESE J ANIMAL SCI, V41, P39
  • [19] Prediction of color, texture, and sensory characteristics of beef steaks by visible and near infrared reflectance spectroscopy. A feasibility study
    Liu, YL
    Lyon, BG
    Windham, WR
    Realini, CE
    Pringle, TDD
    Duckett, S
    [J]. MEAT SCIENCE, 2003, 65 (03) : 1107 - 1115
  • [20] LU LJ, 2001, J MOL SCI, V17, P115