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.
222 related articles for article (PubMed ID: 28784544)
1. Assessment of physico-chemical traits related to eating quality of young dairy bull beef at different ageing times using Raman spectroscopy and chemometrics. Nian Y; Zhao M; O'Donnell CP; Downey G; Kerry JP; Allen P Food Res Int; 2017 Sep; 99(Pt 1):778-789. PubMed ID: 28784544 [TBL] [Abstract][Full Text] [Related]
2. Application of Raman spectroscopy and chemometric techniques to assess sensory characteristics of young dairy bull beef. Zhao M; Nian Y; Allen P; Downey G; Kerry JP; O'Donnell CP Food Res Int; 2018 May; 107():27-40. PubMed ID: 29580485 [TBL] [Abstract][Full Text] [Related]
3. Prediction of Warner-Bratzler shear force, intramuscular fat, drip-loss and cook-loss in beef via Raman spectroscopy and chemometrics. Cama-Moncunill R; Cafferky J; Augier C; Sweeney T; Allen P; Ferragina A; Sullivan C; Cromie A; Hamill RM Meat Sci; 2020 Sep; 167():108157. PubMed ID: 32361332 [TBL] [Abstract][Full Text] [Related]
4. Visible and near infrared spectroscopy as an authentication tool: Preliminary investigation of the prediction of the ageing time of beef steaks. Moran L; Andres S; Allen P; Moloney AP Meat Sci; 2018 Aug; 142():52-58. PubMed ID: 29660544 [TBL] [Abstract][Full Text] [Related]
5. Assessment of tenderness of aged bovine gluteus medius muscles using Raman spectroscopy. Bauer A; Scheier R; Eberle T; Schmidt H Meat Sci; 2016 May; 115():27-33. PubMed ID: 26802613 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Effect of castration and carcass suspension method on the quality and fatty acid profile of beef from male dairy cattle. Nian Y; Allen P; Harrison SM; Kerry JP J Sci Food Agric; 2018 Aug; 98(11):4339-4350. PubMed ID: 29430648 [TBL] [Abstract][Full Text] [Related]
9. Physico-chemical and sensory characteristics of young dairy bull beef derived from two breed types across five production systems employing two first season feeding regimes. Nian Y; Allen P; Prendiville R; Kerry JP J Sci Food Agric; 2018 Mar; 98(5):1914-1926. PubMed ID: 28906556 [TBL] [Abstract][Full Text] [Related]
10. Preliminary investigation of the use of Raman spectroscopy to predict meat and eating quality traits of beef loins. Fowler SM; Schmidt H; van de Ven R; Hopkins DL Meat Sci; 2018 Apr; 138():53-58. PubMed ID: 29331862 [TBL] [Abstract][Full Text] [Related]
11. Predicting post-mortem meat quality in porcine longissimus lumborum using Raman, near infrared and fluorescence spectroscopy. Andersen PV; Wold JP; Gjerlaug-Enger E; Veiseth-Kent E Meat Sci; 2018 Nov; 145():94-100. PubMed ID: 29940404 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Preliminary investigation of the use of Raman spectroscopy to predict beef spoilage in different types of packaging. Yang H; Hopkins DL; Zhang Y; Zhu L; Dong P; Wang X; Mao Y; Luo X; Fowler SM Meat Sci; 2020 Jul; 165():108136. PubMed ID: 32272341 [TBL] [Abstract][Full Text] [Related]
14. Effect of pelvic suspension and post-mortem ageing on the quality of three muscles from Holstein Friesian bulls and steers. Moran L; Barron LJR; Wilson SS; O'Sullivan MG; Kerry JP; Prendiville R; Moloney AP J Sci Food Agric; 2021 Mar; 101(5):1892-1900. PubMed ID: 32895942 [TBL] [Abstract][Full Text] [Related]
15. Investigating the use of visible and near infrared spectroscopy to predict sensory and texture attributes of beef M. longissimus thoracis et lumborum. Cafferky J; Sweeney T; Allen P; Sahar A; Downey G; Cromie AR; Hamill RM Meat Sci; 2020 Jan; 159():107915. PubMed ID: 31470197 [TBL] [Abstract][Full Text] [Related]
16. Bovine M. longissimus thoracis meat quality differences due to Canada quality grade. Puente J; Samanta SS; Bruce HL Meat Sci; 2019 Sep; 155():43-49. PubMed ID: 31075738 [TBL] [Abstract][Full Text] [Related]
17. A novel method for discrimination of beef and horsemeat using Raman spectroscopy. Boyacı İH; Temiz HT; Uysal RS; Velioğlu HM; Yadegari RJ; Rishkan MM Food Chem; 2014 Apr; 148():37-41. PubMed ID: 24262523 [TBL] [Abstract][Full Text] [Related]
18. Estimation of the intramuscular fat content of m. longissimus thoracis in crossbred beef cattle based on live animal measurements. Nogalski Z; Pogorzelska-Przybyłek P; Białobrzewski I; Modzelewska-Kapituła M; Sobczuk-Szul M; Purwin C Meat Sci; 2017 Mar; 125():121-127. PubMed ID: 27940421 [TBL] [Abstract][Full Text] [Related]
19. The influence of crossbreeding on collagen solubility and tenderness of Infraspinatus and Semimembranosus muscles of semi-intensively reared young bulls. Modzelewska-Kapituła M; Nogalski Z; Kwiatkowska A Anim Sci J; 2016 Oct; 87(10):1312-1321. PubMed ID: 26805717 [TBL] [Abstract][Full Text] [Related]
20. Predicting meat quality traits of ovine m. semimembranosus, both fresh and following freezing and thawing, using a hand held Raman spectroscopic device. Fowler SM; Schmidt H; van de Ven R; Wynn P; Hopkins DL Meat Sci; 2015 Oct; 108():138-44. PubMed ID: 26115347 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]