A novel method using MOS electronic nose and ELM for predicting postharvest quality of cherry tomato fruit treated with high pressure argon
暂无分享,去创建一个
Min Zhang | Lei Feng | Zhimei Guo | Bhesh Bhandari | Min Zhang | B. Bhandari | Lei Feng | Zhimei Guo
[1] Jun Wang,et al. Discrimination among tea plants either with different invasive severities or different invasive times using MOS electronic nose combined with a new feature extraction method , 2017, Comput. Electron. Agric..
[2] M. C. Strano,et al. Advance in Citrus Postharvest Management: Diseases, Cold Storage and Quality Evaluation. , 2017 .
[3] Jing Liu,et al. Non-destructive assessment of quality parameters in ‘Friar’ plums during low temperature storage using visible/near infrared spectroscopy , 2017 .
[4] J.C.M.A. Snels,et al. Bacterial population dynamics and sensorial quality loss in modified atmosphere packed fresh-cut iceberg lettuce , 2017 .
[5] Verena Overbeck,et al. Non-Destructive Sensor-Based Prediction of Maturity and Optimum Harvest Date of Sweet Cherry Fruit , 2017, Sensors.
[6] Z. Szabó,et al. Postharvest Treatments with Methyl Jasmonate and Salicylic Acid for Maintaining Physico-Chemical Characteristics and Sensory Quality Properties of Apricot Fruit during Cold Storage and Shelf-Life , 2017 .
[7] Wenchuan Guo,et al. Identifying CPPU-Treated Kiwifruits Using Near-Infrared Hyperspectral Imaging Technology , 2017, Food Analytical Methods.
[8] Miguel Peris,et al. Electronic noses and tongues to assess food authenticity and adulteration , 2016 .
[9] J. Madureira,et al. Post-harvest treatment of cherry tomatoes by gamma radiation: Microbial and physicochemical parameters evaluation , 2016 .
[10] S. Garrigues,et al. Determination of total phenolic compounds in compost by infrared spectroscopy. , 2016, Talanta.
[11] Mahdi Ghasemi-Varnamkhasti,et al. Application of MOS based electronic nose for the prediction of banana quality properties , 2016 .
[12] M. de la Guardia,et al. Prediction of banana quality indices from color features using support vector regression. , 2016, Talanta.
[13] E. Baldwin,et al. Recent Advance in Aromatic Volatile Research in Tomato Fruit: The Metabolisms and Regulations , 2016, Food and Bioprocess Technology.
[14] Cristiane Fagundes,et al. Effect of active modified atmosphere and cold storage on the postharvest quality of cherry tomatoes , 2015 .
[15] Elizabeth A. Baldwin,et al. The Impact of Kitchen and Food Service Preparation Practices on the Volatile Aroma Profile in Ripe Tomatoes: Effects of Refrigeration and Blanching , 2015 .
[16] Krzysztof Kusnierek,et al. Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and Powered Partial Least Squares Regression , 2015, Comput. Electron. Agric..
[17] E. Woltering,et al. Chilling-Induced Changes in Aroma Volatile Profiles in Tomato , 2015, Food and Bioprocess Technology.
[18] E. Baldwin,et al. Identification of sulphur volatiles and GC-olfactometry aroma profiling in two fresh tomato cultivars. , 2015, Food chemistry.
[19] Jun Wang,et al. E-nose combined with chemometrics to trace tomato-juice quality , 2015 .
[20] Xihong Li,et al. Natural surface coating to inactivate Salmonella enterica serovar Typhimurium and maintain quality of cherry tomatoes. , 2015, International journal of food microbiology.
[21] Alphus D. Wilson,et al. Electronic-Nose Applications for Fruit Identification, Ripeness and Quality Grading , 2015, Sensors.
[22] Guang-Bin Huang,et al. Trends in extreme learning machines: A review , 2015, Neural Networks.
[23] Mehmet Turan Ayseli,et al. Characterization of the most aroma-active compounds in cherry tomato by application of the aroma extract dilution analysis. , 2014, Food chemistry.
[24] T. Frett,et al. Effect of prolonged cold storage on the sensory quality of peach and nectarine , 2014 .
[25] Jun Wang,et al. Application of e-nose and e-tongue to measure the freshness of cherry tomatoes squeezed for juice consumption , 2014 .
[26] N. López de Lerma,et al. Determination of the Optimum Sun-Drying Time for Vitis vinifera L. cv. Tempranillo Grapes by E-nose Analysis and Characterization of Their Volatile Composition , 2014, Food and Bioprocess Technology.
[27] Huan Cheng,et al. Evaluation of Chinese tea by the electronic nose and gas chromatography–mass spectrometry: Correlation with sensory properties and classification according to grade level , 2013 .
[28] Min Zhang,et al. Effects of ultrasound and high pressure argon on physico-chemical properties of white mushrooms (Agaricus bisporus) during postharvest storage , 2013 .
[29] Jun Tao,et al. Advances in Fruit Aroma Volatile Research , 2013, Molecules.
[30] C. Barry‐Ryan,et al. Effect of delactosed whey permeate treatment on physico-chemical, sensorial, nutritional and microbial properties of whole tomatoes during postharvest storage , 2013 .
[31] Alphus D. Wilson,et al. Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry , 2013, Sensors.
[32] Haidi Ibrahim,et al. Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch , 2012, Sensors.
[33] Xiangyong Meng,et al. Extending shelf-life of fresh-cut green peppers using pressurized argon treatment , 2012 .
[34] K. Tu,et al. Application of electronic nose in Chinese spirits quality control and flavour assessment , 2012 .
[35] Qiang Cai,et al. Rapid Classification of Hairtail Fish and Pork Freshness Using an Electronic Nose Based on the PCA Method , 2011, Sensors.
[36] Shaojin Wang,et al. Effects of high pressure argon treatments on the quality of fresh-cut apples at cold storage , 2012 .
[37] Laura Rossini,et al. Identification of key odor volatile compounds in the essential oil of nine peach accessions. , 2010, Journal of the science of food and agriculture.
[38] H. Escalona-Buendía,et al. Effect of refrigerated storage on aroma and alcohol dehydrogenase activity in tomato fruit , 2009 .
[39] E. Gobbi,et al. Early detection of microbial contamination in processed tomatoes by electronic nose. , 2009 .
[40] W. Du,et al. Antibacterial effects of allspice, garlic, and oregano essential oils in tomato films determined by overlay and vapor-phase methods. , 2009, Journal of food science.
[41] M. Falasconi,et al. Differentiation of the volatile profile of microbiologically contaminated canned tomatoes by dynamic headspace extraction followed by gas chromatography-mass spectrometry analysis. , 2009, Talanta.
[42] Jun Wang,et al. Application of Electronic Nose and Statistical Analysis to Predict Quality Indices of Peach , 2009, Food and Bioprocess Technology.
[43] Jun Wang,et al. Predictions of acidity, soluble solids and firmness of pear using electronic nose technique , 2008 .
[44] Shaojin Wang,et al. Extending the shelf-life of asparagus spears with a compressed mix of argon and xenon gases , 2008 .
[45] Zhuo Zhang,et al. Study of the volatile composition of tomato during storage by a combination sampling method coupled with gas chromatography/mass spectrometry , 2008 .
[46] R. Liu,et al. Temperature and relative humidity effects on quality, total ascorbic acid, phenolics and flavonoid concentrations, and antioxidant activity of strawberry , 2007 .
[47] A. H. Gómez,et al. Evaluation of tomato maturity by electronic nose , 2006 .
[48] Yoshinori Ueda,et al. Effect of short-term anaerobic conditions on the production of volatiles, activity of alcohol acetyltransferase and other quality traits of ripened bananas , 2006 .
[49] John Irven,et al. A comparative study of effects of nitrogen and argon on tyrosinase and malic dehydrogenase activities , 2001 .