These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 22063930)
1. Prediction of technological and organoleptic properties of beef Longissimus thoracis from near-infrared reflectance and transmission spectra. Leroy B; Lambotte S; Dotreppe O; Lecocq H; Istasse L; Clinquart A Meat Sci; 2004 Jan; 66(1):45-54. PubMed ID: 22063930 [TBL] [Abstract][Full Text] [Related]
2. The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cuts. De Marchi M; Penasa M; Cecchinato A; Bittante G Meat Sci; 2013 Feb; 93(2):329-35. PubMed ID: 23098602 [TBL] [Abstract][Full Text] [Related]
3. On-line application of visible and near infrared reflectance spectroscopy to predict chemical-physical and sensory characteristics of beef quality. Prieto N; Ross DW; Navajas EA; Nute GR; Richardson RI; Hyslop JJ; Simm G; Roehe R Meat Sci; 2009 Sep; 83(1):96-103. PubMed ID: 20416617 [TBL] [Abstract][Full Text] [Related]
4. Near-infrared reflectance spectroscopy for predicting chemical, instrumental and sensory quality of beef. Ripoll G; Albertí P; Panea B; Olleta JL; Sañudo C Meat Sci; 2008 Nov; 80(3):697-702. PubMed ID: 22063585 [TBL] [Abstract][Full Text] [Related]
5. The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributes. Andrés S; Silva A; Soares-Pereira AL; Martins C; Bruno-Soares AM; Murray I Meat Sci; 2008 Mar; 78(3):217-24. PubMed ID: 22062273 [TBL] [Abstract][Full Text] [Related]
6. Near-infrared reflectance spectroscopy predictions as indicator traits in breeding programs for enhanced beef quality. Cecchinato A; De Marchi M; Penasa M; Albera A; Bittante G J Anim Sci; 2011 Sep; 89(9):2687-95. PubMed ID: 21454870 [TBL] [Abstract][Full Text] [Related]
8. Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples. Prieto N; Andrés S; Giráldez FJ; Mantecón AR; Lavín P Meat Sci; 2008 Aug; 79(4):692-9. PubMed ID: 22063031 [TBL] [Abstract][Full Text] [Related]
9. Prediction of pork quality attributes from near infrared reflectance spectra. Geesink GH; Schreutelkamp FH; Frankhuizen R; Vedder HW; Faber NM; Kranen RW; Gerritzen MA Meat Sci; 2003 Sep; 65(1):661-8. PubMed ID: 22063261 [TBL] [Abstract][Full Text] [Related]
10. [The determination of beef tenderness using near-infrared spectroscopy]. Zhao JW; Zhai JM; Liu MH; Cai JR Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Apr; 26(4):640-2. PubMed ID: 16836128 [TBL] [Abstract][Full Text] [Related]
11. On-line prediction of beef quality traits using near infrared spectroscopy. De Marchi M Meat Sci; 2013 Aug; 94(4):455-60. PubMed ID: 23618741 [TBL] [Abstract][Full Text] [Related]
12. Prediction of sensory characteristics of beef by near-infrared spectroscopy. Hildrum KI; Nilsen BN; Mielnik M; Næs T Meat Sci; 1994; 38(1):67-80. PubMed ID: 22059609 [TBL] [Abstract][Full Text] [Related]
13. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. Prieto N; Ross DW; Navajas EA; Richardson RI; Hyslop JJ; Simm G; Roehe R Animal; 2011 Jan; 5(1):155-65. PubMed ID: 22440714 [TBL] [Abstract][Full Text] [Related]
14. On-line prediction of fresh pork quality using visible/near-infrared reflectance spectroscopy. Liao YT; Fan YX; Cheng F Meat Sci; 2010 Dec; 86(4):901-7. PubMed ID: 20728281 [TBL] [Abstract][Full Text] [Related]
15. Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review. Prieto N; Roehe R; Lavín P; Batten G; Andrés S Meat Sci; 2009 Oct; 83(2):175-86. PubMed ID: 20416766 [TBL] [Abstract][Full Text] [Related]
16. Predicting quality and sensory attributes of pork using near-infrared hyperspectral imaging. Barbin DF; ElMasry G; Sun DW; Allen P Anal Chim Acta; 2012 Mar; 719():30-42. PubMed ID: 22340528 [TBL] [Abstract][Full Text] [Related]
17. Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis. Kamruzzaman M; ElMasry G; Sun DW; Allen P Anal Chim Acta; 2012 Feb; 714():57-67. PubMed ID: 22244137 [TBL] [Abstract][Full Text] [Related]
18. Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible-Near-Infrared Spectroscopy and Chemometrics. Sahar A; Allen P; Sweeney T; Cafferky J; Downey G; Cromie A; Hamill RM Foods; 2019 Oct; 8(11):. PubMed ID: 31652829 [TBL] [Abstract][Full Text] [Related]
19. Identification of cattle, llama and horse meat by near infrared reflectance or transflectance spectroscopy. Mamani-Linares LW; Gallo C; Alomar D Meat Sci; 2012 Feb; 90(2):378-85. PubMed ID: 21889854 [TBL] [Abstract][Full Text] [Related]
20. Feasibility of the direct application of near-infrared reflectance spectroscopy on intact chicken breasts to predict meat color and physical traits. De Marchi M; Penasa M; Battagin M; Zanetti E; Pulici C; Cassandro M Poult Sci; 2011 Jul; 90(7):1594-9. PubMed ID: 21673177 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]