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204 related items for PubMed ID: 17760345
1. Determination of fat, moisture, and protein in meat and meat products by using the FOSS FoodScan Near-Infrared Spectrophotometer with FOSS Artificial Neural Network Calibration Model and Associated Database: collaborative study. Anderson S. J AOAC Int; 2007; 90(4):1073-83. PubMed ID: 17760345 [Abstract] [Full Text] [Related]
5. Comparison of three methods for determination of crude protein in meat: collaborative study. Suhre FB, Corrao PA, Glover A, Malanoski AJ. J Assoc Off Anal Chem; 1982 Nov; 65(6):1339-45. PubMed ID: 7174576 [Abstract] [Full Text] [Related]
6. [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 [Abstract] [Full Text] [Related]
7. Homogeneity of meats prepared for analysis with a commercial food processor: collaborative study. Beebe RM, Lay E, Eisenberg S. J Assoc Off Anal Chem; 1989 Feb; 72(5):777-83. PubMed ID: 2808240 [Abstract] [Full Text] [Related]
8. Comparison of automated method and improved AOAC Kjeldahl method for determination of protein in meat and meat products. McGill DL. J Assoc Off Anal Chem; 1981 Jan; 64(1):29-31. PubMed ID: 7204306 [Abstract] [Full Text] [Related]
9. Development of near infrared reflectance spectroscopy to predict chemical composition with a wide range of variability in beef. Su H, Sha K, Zhang L, Zhang Q, Xu Y, Zhang R, Li H, Sun B. Meat Sci; 2014 Oct; 98(2):110-4. PubMed ID: 24927045 [Abstract] [Full Text] [Related]
10. Crude fat, diethyl ether extraction, in feed, cereal grain, and forage (Randall/Soxtec/submersion method): collaborative study. Thiex NJ, Anderson S, Gildemeister B. J AOAC Int; 2003 Oct; 86(5):888-98. PubMed ID: 14632388 [Abstract] [Full Text] [Related]
12. Multicomponent analysis of meat products by infrared spectrophotometry: collaborative study. Bjarnø OC, Arneth W, Noack W, Pfeiffer G. J Assoc Off Anal Chem; 1982 May; 65(3):696-700. PubMed ID: 7096252 [Abstract] [Full Text] [Related]
13. Rapid determination of moisture and fat in meats by microwave and nuclear magnetic resonance analysis--PVM 1:2003. Keeton JT, Hafley BS, Eddy SM, Moser CR, McManus BJ, Leffler TP. J AOAC Int; 2003 May; 86(6):1193-202. PubMed ID: 14979702 [Abstract] [Full Text] [Related]
14. 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 [Abstract] [Full Text] [Related]
17. Mojonnier method as reference for infrared determination of fat in meat products. Mills BL, van de Voort FR, Usborne WR. J Assoc Off Anal Chem; 1983 Jul; 66(4):1048-50. PubMed ID: 6885688 [Abstract] [Full Text] [Related]
18. Determination of moisture, starch, protein, and fat in common beans (Phaseolus vulgaris L.) by near infrared spectroscopy. Hermida M, Rodriguez N, Rodriguez-Otero JL. J AOAC Int; 2006 Jul; 89(4):1039-41. PubMed ID: 16915842 [Abstract] [Full Text] [Related]
19. [Application of near infrared reflectance spectroscopy to predict meat chemical compositions: a review]. Tao LL, Yang XJ, Deng JM, Zhang X. Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Nov; 33(11):3002-9. PubMed ID: 24555369 [Abstract] [Full Text] [Related]
20. Prediction of sodium content in commercial processed meat products using near infrared spectroscopy. De Marchi M, Manuelian CL, Ton S, Manfrin D, Meneghesso M, Cassandro M, Penasa M. Meat Sci; 2017 Mar; 125():61-65. PubMed ID: 27888774 [Abstract] [Full Text] [Related] Page: [Next] [New Search]