236 related articles for article (PubMed ID: 21889854)
41. Challenges in Model Development for Meat Composition Using Multipoint NIR Spectroscopy from At-Line to In-Line Monitoring.
Dixit Y; Casado-Gavalda MP; Cama-Moncunill R; Cullen PJ; Sullivan C
J Food Sci; 2017 Jul; 82(7):1557-1562. PubMed ID: 28598587
[TBL] [Abstract][Full Text] [Related]
42. A rapid and sensitive method for the evaluation of cereal grains in bioethanol production using near infrared reflectance spectroscopy.
Pohl F; Senn T
Bioresour Technol; 2011 Feb; 102(3):2834-41. PubMed ID: 21071215
[TBL] [Abstract][Full Text] [Related]
43. [Rapid evaluation of beef quality by NIRS technology].
Yang JS; Meng QX; Ren LP; Zhou ZM; Xie XX
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Mar; 30(3):685-7. PubMed ID: 20496687
[TBL] [Abstract][Full Text] [Related]
44. Predicting beef tenderness using near-infrared spectroscopy.
Rust SR; Price DM; Subbiah J; Kranzler G; Hilton GG; Vanoverbeke DL; Morgan JB
J Anim Sci; 2008 Jan; 86(1):211-9. PubMed ID: 17911226
[TBL] [Abstract][Full Text] [Related]
45. Hot topic: application of support vector machine method in prediction of alfalfa protein fractions by near infrared reflectance spectroscopy.
Nie Z; Han J; Liu T; Liu X
J Dairy Sci; 2008 Jun; 91(6):2361-9. PubMed ID: 18487658
[TBL] [Abstract][Full Text] [Related]
46. Near-infrared reflectance spectroscopy as a method to predict chemical composition of breast meat and discriminate between different n-3 feeding sources.
Berzaghi P; Dalle Zotte A; Jansson LM; Andrighetto I
Poult Sci; 2005 Jan; 84(1):128-36. PubMed ID: 15685952
[TBL] [Abstract][Full Text] [Related]
47. [Near infrared reflectance spectroscopy (NIRS) and its application in the determination for the quality of animal feed and products].
Wang L; Meng QX; Ren LP; Yang JS
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Jun; 30(6):1482-7. PubMed ID: 20707134
[TBL] [Abstract][Full Text] [Related]
48. 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]
49. 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]
50. Measurement of soluble solids contents and pH in orange juice using chemometrics and vis-NIRS.
Cen H; He Y; Huang M
J Agric Food Chem; 2006 Oct; 54(20):7437-43. PubMed ID: 17002405
[TBL] [Abstract][Full Text] [Related]
51. Prediction of pork quality with near infrared spectroscopy (NIRS) 2. Feasibility and robustness of NIRS measurements under production plant conditions.
Kapper C; Klont RE; Verdonk JM; Williams PC; Urlings HA
Meat Sci; 2012 Jul; 91(3):300-5. PubMed ID: 22405914
[TBL] [Abstract][Full Text] [Related]
52. [Fast discrimination of varieties of bayberry juice based on spectroscopy technology].
Cen HY; Bao YD; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Mar; 27(3):503-6. PubMed ID: 17554908
[TBL] [Abstract][Full Text] [Related]
53. Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy.
de Nadai Bonin M; da Luz E Silva S; Bünger L; Ross D; Dias Feijó GL; da Costa Gomes R; Palma Rennó F; de Almeida Santana MH; Marcondes de Rezende F; Vinhas Ítavo LC; de Novais FJ; Surita LMA; de Nadai Bonin M; Filgueira Pereira MW; Ferraz JBS
Meat Sci; 2020 May; 163():108077. PubMed ID: 32066001
[TBL] [Abstract][Full Text] [Related]
54. Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers.
Savoia S; Albera A; Brugiapaglia A; Di Stasio L; Ferragina A; Cecchinato A; Bittante G
Meat Sci; 2020 Mar; 161():108017. PubMed ID: 31884162
[TBL] [Abstract][Full Text] [Related]
55. [Research on prediction chemical composition of beef by near infrared reflectance spectroscopy].
Sun XM; Lu L; Zhang JC; Zhang SS; Sun BZ
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Feb; 31(2):379-83. PubMed ID: 21510385
[TBL] [Abstract][Full Text] [Related]
56. Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy.
Magalhães AFB; Teixeira GHA; Ríos ACH; Silva DBDS; Mota LFM; Muniz MMM; de Morais CLM; de Lima KMG; Cunha Júnior LC; Baldi F; Carvalheiro R; Oliveira HN; Chardulo LAL; Albuquerque LG
J Anim Sci; 2018 Sep; 96(10):4229-4237. PubMed ID: 30010881
[TBL] [Abstract][Full Text] [Related]
57. Breeds and muscle types modulate performance of near-infrared reflectance spectroscopy to predict the fatty acid composition of bovine meat.
Mourot BP; Gruffat D; Durand D; Chesneau G; Mairesse G; Andueza D
Meat Sci; 2015 Jan; 99():104-12. PubMed ID: 25443970
[TBL] [Abstract][Full Text] [Related]
58. Rapid determination of docosahexaenoic acid in powdered oil by near-infrared spectroscopy.
Yang Meiyan ; Li Jing ; Nie Shaoping ; Hu Jielun ; Yu Qiang ; Xie Mingyong ; Xiong Hua ; Deng Zeyuan ; Zheng Weiwan
Food Sci Technol Int; 2010 Apr; 16(2):187-93. PubMed ID: 21339134
[TBL] [Abstract][Full Text] [Related]
59. [Near infrared diffuse reflectance spectroscopy for rapid analysis of soluble solids content in navel orange].
Liu YD; Ouyang AG; Luo J; Chen XM
Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Nov; 27(11):2190-2. PubMed ID: 18260391
[TBL] [Abstract][Full Text] [Related]
60. Nondestructive direct determination of heroin in seized illicit street drugs by diffuse reflectance near-infrared spectroscopy.
Moros J; Galipienso N; Vilches R; Garrigues S; de la Guardia M
Anal Chem; 2008 Oct; 80(19):7257-65. PubMed ID: 18778084
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
