171 related articles for article (PubMed ID: 18038995)
1. Verification of silage type using near-infrared spectroscopy combined with multivariate analysis.
Cozzolino D; Fassio A; Restaino E; Fernandez E; La Manna A
J Agric Food Chem; 2008 Jan; 56(1):79-83. PubMed ID: 18038995
[TBL] [Abstract][Full Text] [Related]
2. Usefulness of near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species.
Cozzolino D; Chree A; Scaife JR; Murray I
J Agric Food Chem; 2005 Jun; 53(11):4459-63. PubMed ID: 15913311
[TBL] [Abstract][Full Text] [Related]
3. Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis.
Liu L; Cozzolino D; Cynkar WU; Gishen M; Colby CB
J Agric Food Chem; 2006 Sep; 54(18):6754-9. PubMed ID: 16939336
[TBL] [Abstract][Full Text] [Related]
4. Direct classification of related species of fungal endophytes (Epichloë spp.) using visible and near-infrared spectroscopy and multivariate analysis.
Petisco C; Downey G; Murray I; Zabalgogeazcoa I; García-Criado B; García-Ciudad A
FEMS Microbiol Lett; 2008 Jul; 284(2):135-41. PubMed ID: 18492058
[TBL] [Abstract][Full Text] [Related]
5. Prediction of laboratory and in situ protein fractions in legume and grass silages using near-infrared reflectance spectroscopy.
Hoffman PC; Brehm NM; Bauman LM; Peters JB; Undersander DJ
J Dairy Sci; 1999 Apr; 82(4):764-70. PubMed ID: 10212463
[TBL] [Abstract][Full Text] [Related]
6. Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale.
Cozzolino D; Parker M; Dambergs RG; Herderich M; Gishen M
Biotechnol Bioeng; 2006 Dec; 95(6):1101-7. PubMed ID: 16817241
[TBL] [Abstract][Full Text] [Related]
7. Combining near infrared spectroscopy and multivariate analysis as a tool to differentiate different strains of Saccharomyces cerevisiae: a metabolomic study.
Cozzolino D; Flood L; Bellon J; Gishen M; De Barros Lopes M
Yeast; 2006; 23(14-15):1089-96. PubMed ID: 17083133
[TBL] [Abstract][Full Text] [Related]
8. Unlocking interpretation in near infrared multivariate calibrations by orthogonal partial least squares.
Stenlund H; Johansson E; Gottfries J; Trygg J
Anal Chem; 2009 Jan; 81(1):203-9. PubMed ID: 19117451
[TBL] [Abstract][Full Text] [Related]
9. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins.
Cozzolino D; Smyth HE; Gishen M
J Agric Food Chem; 2003 Dec; 51(26):7703-8. PubMed ID: 14664532
[TBL] [Abstract][Full Text] [Related]
10. Effects of breed, sex, and age on the variation and ability of fecal near-infrared reflectance spectra to predict the composition of goat diets.
Walker JW; Campbell ES; Lupton CJ; Taylor CA; Waldron DF; Landau SY
J Anim Sci; 2007 Feb; 85(2):518-26. PubMed ID: 17235035
[TBL] [Abstract][Full Text] [Related]
11. Analysis of nitrogen fractions in silage by near-infrared spectroscopy.
Hermida M; Lois A; Rodriguez-Otero JL
J Agric Food Chem; 2005 Mar; 53(5):1374-8. PubMed ID: 15740009
[TBL] [Abstract][Full Text] [Related]
12. Raman spectroscopy in combination with background near-infrared autofluorescence enhances the in vivo assessment of malignant tissues.
Huang Z; Lui H; McLean DI; Korbelik M; Zeng H
Photochem Photobiol; 2005; 81(5):1219-26. PubMed ID: 15869327
[TBL] [Abstract][Full Text] [Related]
13. Optimization of discriminant partial least squares regression models for the detection of animal by-product meals in compound feedingstuffs by near-infrared spectroscopy.
Pérez-Marín DC; Garrido-Varo A; Guerrero JE
Appl Spectrosc; 2006 Dec; 60(12):1432-7. PubMed ID: 17217593
[TBL] [Abstract][Full Text] [Related]
14. Gasoline classification using near infrared (NIR) spectroscopy data: comparison of multivariate techniques.
Balabin RM; Safieva RZ; Lomakina EI
Anal Chim Acta; 2010 Jun; 671(1-2):27-35. PubMed ID: 20541639
[TBL] [Abstract][Full Text] [Related]
15. Spectroscopic diagnosis of chronic fatigue syndrome by visible and near-infrared spectroscopy in serum samples.
Sakudo A; Kuratsune H; Kobayashi T; Tajima S; Watanabe Y; Ikuta K
Biochem Biophys Res Commun; 2006 Jul; 345(4):1513-6. PubMed ID: 16730652
[TBL] [Abstract][Full Text] [Related]
16. Discrimination of Ganoderma lucidum according to geographical origin with near infrared diffuse reflectance spectroscopy and pattern recognition techniques.
Chen Y; Xie MY; Yan Y; Zhu SB; Nie SP; Li C; Wang YX; Gong XF
Anal Chim Acta; 2008 Jun; 618(2):121-30. PubMed ID: 18513533
[TBL] [Abstract][Full Text] [Related]
17. Detection and identification of bacteria in an isolated system with near-infrared spectroscopy and multivariate analysis.
Alexandrakis D; Downey G; Scannell AG
J Agric Food Chem; 2008 May; 56(10):3431-7. PubMed ID: 18433132
[TBL] [Abstract][Full Text] [Related]
18. Near-infrared reflectance model for the rapid prediction of total fat in cereal foods.
Vines LL; Kays SE; Koehler PE
J Agric Food Chem; 2005 Mar; 53(5):1550-5. PubMed ID: 15740039
[TBL] [Abstract][Full Text] [Related]
19. Near-Infrared Spectroscopy Calibrations Performed on Oven-Dried Green Forages for the Prediction of Chemical Composition and Nutritive Value of Preserved Forage for Ruminants.
Andueza D; Picard F; Martin-Rosset W; Aufrère J
Appl Spectrosc; 2016 Aug; 70(8):1321-7. PubMed ID: 27324421
[TBL] [Abstract][Full Text] [Related]
20. Classification of geographical origins and prediction of δ13C and δ15N values of lamb meat by near infrared reflectance spectroscopy.
Sun S; Guo B; Wei Y; Fan M
Food Chem; 2012 Nov; 135(2):508-14. PubMed ID: 22868121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
