Electronic nose to study postharvest dehydration of wine grapes
暂无分享,去创建一个
[1] T. Hsiao. Plant Responses to Water Stress , 1973 .
[2] Fabrizio Davide,et al. Complex chemical pattern recognition with sensor array : the discrimination of vintage years of wine , 1995 .
[3] Giorgio Sberveglieri,et al. An electronic nose for the recognition of the vineyard of a red wine , 1996 .
[4] E. Schaller,et al. ‘Electronic Noses’ and Their Application to Food , 1998 .
[5] Antonella Macagnano,et al. Pattern recognition approach to the study of the interactions between metalloporphyrin Langmuir–Blodgett films and volatile organic compounds , 1999 .
[6] Eduard Llobet,et al. Non-destructive banana ripeness determination using a neural network-based electronic nose , 1999 .
[7] Characterisation of some Northern Italian passiti-wines through aroma and stable isotope analyses , 1999 .
[8] C. Natale,et al. Electronic nose as a non-destructive tool to evaluate the optimal harvest date of apples , 2003 .
[9] S. Buratti,et al. Characterization and classification of Italian Barbera wines by using an electronic nose and an amperometric electronic tongue , 2004 .
[10] E. Martinelli,et al. Application of metalloporphyrins-based gas and liquid sensor arrays to the analysis of red wine , 2004 .
[11] F. Mencarelli,et al. Different postharvest dehydration rates affect quality characteristics and volatile compounds of Malvasia, Trebbiano and Sangiovese grapes for wine production , 2004 .
[12] A. H. Gómez,et al. Evaluation of tomato maturity by electronic nose , 2006 .
[13] F. Mencarelli,et al. Metabolic changes of Malvasia grapes for wine production during postharvest drying. , 2006, Journal of agricultural and food chemistry.
[14] Robert G. Dambergs,et al. Combining mass spectrometry based electronic nose, visible-near infrared spectroscopy and chemometrics to assess the sensory properties of Australian Riesling wines , 2006 .
[15] Manuel Aleixandre,et al. Electronic nose for wine discrimination , 2006 .
[16] José Pedro Santos,et al. Wine classification with a zinc oxide SAW sensor array , 2006 .
[17] S. Lund,et al. The Molecular Basis for Wine Grape Quality-A Volatile Subject , 2006, Science.
[18] R. Paolesse,et al. Metalloporphyrins based artificial olfactory receptors , 2007 .
[19] Daniel Cozzolino,et al. Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast , 2007 .
[20] F. Mencarelli,et al. Influence of postharvest water stress on lipoxygenase and alcohol dehydrogenase activities, and on the composition of some volatile compounds of Gewürztraminer grapes dehydrated under controlled and uncontrolled thermohygrometric conditions , 2007 .
[21] MIGLIORAMENTO DELLA OUALITA DEL VINO MERLOT IN ANNATE SFAVOREVOLI : MEDIANTE PARZIALE DISIDRATAZIONE IN CONDIZIONI CONTROLLATE , 2008 .
[22] R Bro,et al. Cross-validation of component models: A critical look at current methods , 2008, Analytical and bioanalytical chemistry.
[23] Manuel Aleixandre,et al. Portable e-nose to classify different kinds of wine , 2008 .
[24] M. Frangipane,et al. Influenza della temperatura di appassimento sulla qualità di uve varietà Montepulciano. , 2008 .
[25] Seth D. Cohen,et al. Effect of postharvest dehydration on the composition of pinot noir grapes (Vitis vinifera L.) and wine. , 2008, Food chemistry.
[26] D. Barbanti,et al. Effect of various thermo-hygrometric conditions on the withering kinetics of grapes used for the production of “Amarone” and “Recioto” wines , 2008 .
[27] Simona Benedetti,et al. Electronic nose as a non-destructive tool to characterise peach cultivars and to monitor their ripening stage during shelf-life , 2008 .
[28] Andrea Bellincontro,et al. Integration of Nondestructive Techniques with Destructive Analyses to Study Postharvest Water Stress of Winegrapes , 2009, American Journal of Enology and Viticulture.
[29] Robert K. Prange,et al. The relationship between water status and chlorophyll a fluorescence in grapes (Vitis spp.) , 2009 .