近红外光谱检测技术在肉类工业中的应用

被引:9
作者
开晗
孔保华
机构
[1] 东北农业大学食品学院
关键词
近红外光谱技术; 肉品质; 检测;
D O I
暂无
中图分类号
TS251.7 [产品标准与检验]; O657.33 [红外光谱分析法];
学科分类号
摘要
近年来,近红外光谱技术(near infrared reflectance spectroscopy,NIRS)已经成为肉和肉产品品质检测中最为有效、先进的方法之一。本文回顾了应用NIRS技术对食品化学成分、物理性质和感官指标的检测,说明了NIRS技术在肉品分级制度中的应用,并讨论了NIRS在肉品工业上的应用前景。
引用
收藏
页码:35 / 39
页数:5
相关论文
共 11 条
  • [1] 基于近红外技术的猪肉新鲜度检测仪设计
    赵家松
    严伟榆
    曹志勇
    张曦
    [J]. 农机化研究, 2011, (08) : 161 - 163+176
  • [2] 牛肉化学成分的近红外光谱检测方法的研究[J]. 孙晓明,卢凌,张佳程,张松山,孙宝忠.光谱学与光谱分析. 2011(02)
  • [3] 牛肉嫩度的近红外光谱法检测技术研究
    赵杰文
    翟剑妹
    刘木华
    蔡健荣
    [J]. 光谱学与光谱分析, 2006, (04) : 640 - 642
  • [4] Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review[J] . N. Prieto,R. Roehe,P. Lavín,G. Batten,S. Andrés.Meat Science . 2009 (2)
  • [5] Near-infrared reflectance spectroscopy for predicting chemical, instrumental and sensory quality of beef[J] . Meat Science . 2008 (3)
  • [6] 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
  • [7] On-line, proximate analysis of ground beef directly at a meat grinder outlet[J] . Meat Science . 1996 (3)
  • [8] Prediction of tenderness and other quality attributes of beef by near infrared reflectance spectroscopy between 750 and 1100 nm; further studies
    Venel, C
    Mullen, AM
    Downey, G
    Troy, DJ
    [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2001, 9 (03) : 185 - 198
  • [9] The ability of visible and near infrared reflectance spectroscopy to predict the chemical composition of ground chicken carcasses and to discriminate between carcasses from different genotypes
    McDevitt, RM
    Gavin, AJ
    Andrés, S
    Murray, I
    [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2005, 13 (03) : 109 - 117
  • [10] Accuracy of near infrared spectroscopy for prediction of chemical composition, salt content and free amino acids in dry-cured ham[J] . Meat Science . 2011 (2)