| A review of methods for the detection of pathogenic microorganisms P Rajapaksha, A Elbourne, S Gangadoo, R Brown, D Cozzolino, ... Analyst 144 (2), 396-411, 2019 | 499 | 2019 |
| Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy D Cozzolino, MJ Kwiatkowski, M Parker, WU Cynkar, RG Dambergs, ... Analytica Chimica Acta 513 (1), 73-80, 2004 | 431 | 2004 |
| Identification of animal meat muscles by visible and near infrared reflectance spectroscopy D Cozzolino, I Murray LWT-Food Science and Technology 37 (4), 447-452, 2004 | 386 | 2004 |
| Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins D Cozzolino, HE Smyth, M Gishen Journal of Agricultural and Food Chemistry 51 (26), 7703-7708, 2003 | 328 | 2003 |
| Biochar built soil carbon over a decade by stabilizing rhizodeposits Z Weng, L Van Zwieten, BP Singh, E Tavakkoli, S Joseph, LM Macdonald, ... Nature Climate Change 7 (5), 371-376, 2017 | 314 | 2017 |
| The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics D Cozzolino, A Moron The Journal of Agricultural Science 140 (1), 65-71, 2003 | 295 | 2003 |
| Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions D Cozzolino, A Morón Soil and Tillage Research 85 (1-2), 78-85, 2006 | 282 | 2006 |
| The effect of increased yeast alcohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates M Lilly, FF Bauer, MG Lambrechts, JH Swiegers, D Cozzolino, IS Pretorius Yeast 23 (9), 641-659, 2006 | 277 | 2006 |
| Antimicrobial metal nanomaterials: from passive to stimuli‐activated applications S Cheeseman, AJ Christofferson, R Kariuki, D Cozzolino, T Daeneke, ... Advanced Science 7 (10), 1902913, 2020 | 265 | 2020 |
| Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality D Cozzolino, WU Cynkar, N Shah, P Smith Food Research International 44 (7), 1888-1896, 2011 | 251 | 2011 |
| Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review S Bureau, D Cozzolino, CJ Clark Postharvest Biology and Technology 148, 1-14, 2019 | 244 | 2019 |
| Antibacterial Liquid Metals: Biofilm Treatment via Magnetic Activation A Elbourne, S Cheeseman, P Atkin, NP Truong, N Syed, A Zavabeti, ... ACS nano 14 (1), 802-817, 2020 | 236 | 2020 |
| Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy N Barlocco, A Vadell, F Ballesteros, G Galietta, D Cozzolino Animal science 82 (1), 111-116, 2006 | 231 | 2006 |
| Analysis of grapes and wine by near infrared spectroscopy D Cozzolino, RG Dambergs, L Janik, WU Cynkar, M Gishen Journal of Near Infrared Spectroscopy 14 (5), 279-289, 2006 | 215 | 2006 |
| Multivariate determination of free fatty acids and moisture in fish oils by partial least-squares regression and near-infrared spectroscopy D Cozzolino, I Murray, A Chree, JR Scaife LWT-Food Science and Technology 38 (8), 821-828, 2005 | 199 | 2005 |
| Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics W Cynkar, R Dambergs, P Smith, D Cozzolino Analytica chimica acta 660 (1-2), 227-231, 2010 | 191 | 2010 |
| Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis L Liu, D Cozzolino, WU Cynkar, M Gishen, CB Colby Journal of agricultural and food chemistry 54 (18), 6754-6759, 2006 | 190 | 2006 |
| Instrumental methods (spectroscopy, electronic nose, and tongue) as tools to predict taste and aroma in beverages: advantages and limitations H Smyth, D Cozzolino Chemical reviews 113 (3), 1429-1440, 2013 | 185 | 2013 |
| Classification of the floral origin of Uruguayan honeys by chemical and physical characteristics combined with chemometrics E Corbella, D Cozzolino LWT-Food Science and Technology 39 (5), 534-539, 2006 | 173 | 2006 |
| Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes D Cozzolino, A Moron Animal Feed Science and Technology 111 (1-4), 161-173, 2004 | 173 | 2004 |
James ChapmanGriffith UniversityVerified email at griffith.edu.au
