Cyranose320电子鼻食品、空气质量和工业领应用文献汇总(2008-2018部分)
时间:2020-12-25 阅读:214
Cyranose 320电子鼻是目前技术较为*、适用范围也比较广的嗅觉传感系统之一,该系统主要由传感器阵列和数据分析算法两部分组成,其基本技术是将若干个*的薄膜式碳-黑聚合物复合材料化学电阻器配置成一个传感器阵列,然后采用标准的数据分析技术,通过分析由此传感器阵列所收集到的输出值的办法来识别未知分析物。Cyranose 320电子鼻的适用范围包括食品与饮料的生产与保鲜、环境保护、化学品分析与鉴定、口腔卫生、疾病诊断、微生物鉴定与医药分析以及工业生产过程控制与消费品的监控与管理等。
主要应用领域:
食品工业:饮料、烟草、中药材(中草药)、白酒等食品质量监控
精细化工:香精香料、化工材料、化妆品气体检测
医疗卫生:药品、疾病诊断、健康监测
农业工程:化肥及农药分析、农产品识别
环境监控:空气污染、有害、危险品监控
国防安全:、海关安检、检验检疫、爆炸性气体监测
航天航空:机舱环境监测、太空环境监测
消防预警:煤矿、油田、油库、建筑物报警
汽车工业:发动机控制、汽车排气质量监测、车内气体检测
Cyranose 320食品、空气质量和工业领应用文献汇总2008-2018节选 | |||||||
No | Title of Article | Journal | Vol | Pages | Year | Authors | |
Food Freshness, Quality and Sensory Evaluation | |||||||
1 | Efficacy of light-protective additive packaging in protecting milk freshness in a retail dairy case with LED lighting at different light | Food Research International | 114 | 1-9 | 2018 | Wang A et al | |
2 | Electronic noses: Powerful tools in meat quality assessment | Meat Science | 131 | 119-131 | 2017 | Wojonowski et al | |
3 | Potential use of electronic noses, electronic tongues and biosensors as multisensor systems for spoilage | Trends in Food Sci Technol | 80 | 71-92 | 2018 | Ghasemi- | |
4 | Non-destructive sensing methods for quality assessment of on-tree fruits: a review | J Food Measurement Characterization | 12 | 497-526 | 2018 | Srivastava et al | |
5 | Stability of electronic nose (e-nose) as determined by considering date-pits heated at different temperatures | Intl J Food Properties | 21 | in press | 2018 | Shafiur Rahman et al | |
6 | Stochastic modeling of the transient regime of an electronic nose for waste cooking oil classification | J Food Eng | 221 | 114-123 | 2018 | Siqueria et al | |
7 | Electronic nose and visible-near infrared spectroscopy in fruit and vegetable monitoring | Rev Analytical Chemistry |
| in press | 2017 | Beghi et al | |
8 | Aroma Characterization of Petit Manseng Wines Using Sensory Consensus Training, SPME GC-MS, and Electronic Nose Analysis | Amer J of Enology and Viticulture |
| in press | 2016 | Gardner et al | |
9 | Quality Control of Olive Oils Using Machine Learning and Electronic Nose | J Food Quality |
| 1-7 | 2017 | Ordukaya et al | |
10 | Fruit Juice–Alcohol Mixture Analysis Using Machine Learning and Electronic Nose | IEEJ Trans. | 11 | S171-S176 | 2016 | Ordukaya et al | |
11 | Study on Rapid Detection of Orange and Strawberry Storage Diseases and Trees Brown Root Rot by Electronic Nose | National Taiwan | MS | 1-77 | 2016 | Wen JL | |
12 | Application of electronic nose systems for assessing quality of medicinal and aromatic plant products: A review | J Appl Res Medicinal Aromatic Plants | 3 | 1-9 | 2016 | Kiania et al | |
13 | Quality Measurements of Fruits and Vegetables Using Sensor Network | Proc 3rd Intl Sym Big Data and Cloud | 49 | 121-130 | 2016 | Bandal et al | |
14 | Detecting Potato Taste Defect in East African Green Coffee Beans using a Portable Electronic Nose (E-Nose) | Conf Report, Seattle Univ | 1 | 1-4 | 2016 | Avellaneda I | |
15 | Chp. 11 Rice and the Electronic Nose | Electronic Noses and Tongues in Food | Chp 11 | 103-113 | 2016 | Abdullah et al | |
16 | Chp. 14 Wine Applications With Electronic Noses | Electronic Noses and Tongues in Food | Chp 14 | 137-148 | 2016 | Lozano et al | |
17 | Fusion technique for honey purity estimation using artificial neural network | Intl Conf on Adv in In Systs (InSys) |
| 35-40 | 2014 | Subari et al | |
18 | Electronic nose and its application to microbiological food spoilage screening | Sensing Technology Current Status | 8 | 119-140 | 2014 | Falasconi et al | |
19 | Food analysis using artificial senses | J. Agric. Food Chem. | 12 | in press | 2014 | Sliwinska et al | |
20 | A hybrid sensing approach for pure and adulterated honey classification | Sensors | 12 | 14022-14040 | 2012 | Subari et al | |
21 | Improved maturity and ripeness classifications of magnifera indica cv. harumanis mangoes through sensor fusion of an electronic nose | Sensors | 12 | 6023-6048 | 2012 | Zakaria et al | |
22 | Nondestructive sensing of maturity and ripeness in mango. | Acta Horticulturae | 943 | 287-296 | 2012 | Kitthawee et al | |
23 | Applications of humanlike artificial sensors to support researches in the Malaysian food industries | Int. Symp. On Sustainability | 11th | 698-702 | 2012 | Jamilah et al | |
24 | A biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration | Sensors | 11 | 799-822 | 2011 | Zakaria et al | |
25 | Monitoring effects of ethanol spray on cabernet franc and merlot grapes and wine volatiles using electronic nose systems | Amer J of Enology and Viticulture | 62 | 351-358 | 2011 | Zoecklein et al | |
26 | Electronic nose analysis of cabernet sauvignon (vitis vinifera l.) grape and wine volatile differences during cold soak and post fermentation | Amer J of Enology and Viticulture | 62 | 81-90 | 2011 | Gardner et al | |
27 | Electronic nose evaluation of the effects of canopy side on cabernet franc (vitis vinifera l.) grape and wine volatiles | Amer J of Enology and Viticulture | 62 | 73-80 | 2011 | Devarajan et al | |
28 | Feasibility study of pheasant meat ripening by means of nir spectroscopy and electronic nose methods | 5th Intl. Symp. On Agriculture |
| 963-967 | 2010 | Kiss et al | |
29 | Research on the fish freshness assessment based on electronic nose | Acta Scien Natural Univ Sunyatsensi | 49 | 28-30 | 2010 | Liu et al | |
30 | Increasing electronic nose recognition ability by sample laser irradiation | Sensors and Actuators B: | 146 | 534-538 | 2010 | Massacane et al | |
31 | Improved classification of orthosiphon stamineus by data fusion of electronic nose and tongue sensors | Sensors | 10 | 8782-8796 | 2010 | Zakaria et al | |
32 | Classification of agarwood oil using an electronic nose | Sensors | 10 | 4675-4686 | 2010 | Hidayat et al | |
33 | Prediction of hedonic tone using an electronic nose and artificial neural networks | Applied Engineering in Agriculture | 26 | 343-350 | 2010 | Williams et al | |
34 | Characterization of cold soak on vitis vinifera l. cv. cabernet sauvignon grape and wine volatiles using an electronic nose system | Virginia Polytechnic Institute and State | MS thesis | 100 pgs | 2009 | Gardner | |
35 | Rapid identification of rice samples using an electronic nose | Journal of Bionics | 6 | 490-497 | 2009 | Zheng et al | |
36 | Use of an electronic nose to classify avocado pulp by maturity stage | Proc. Fla. State Hort. Soc. | 122 | 334-337 | 2009 | Pereira et al | |
37 | Electronic nose evaluation of cabernet sauvignon fruit maturity | Journal of Wine Research | 19 | 69-80 | 2008 | Athamneh et al | |
38 | Development of non-destructive methods to evaluate oyster quality by electronic nose technology | Sensing and Instrumentation | 2 | 51-57 | 2008 | Hu et al | |
39 | Determination of quality attributes of blue crab (callinectes sapidus ) meat by electronic nose and draeger-tube analysis | Journal of Aquatic Food Product | 17 | 234-252 | 2008 | Sarnoski et al | |
40 | Inligent fish freshness assessment | Journal of Sensors | 2008 | 1-8 | 2008 | Gholamhosseini et al | |
41 | Inligent processing of e-nose information for fish freshness assessment | Intl. Conf. Inligent Sensors, Sensor | 3rd | 173-177 | 2008 | Gholamhosseini et al | |
Bacteria, Disease and Contamination in Food and Agricultural Products | |||||||
42 | Early detection of contamination and defect in foodstuffs by electronic nose: A review | Trends Analytical Chemistry | 97 | 257-271 | 2017 | Sanaeifar et al | |
43 | Current Detection Methods of G. boninense Infection in Oil Palm for Detection of the Kudzu Bug, Megacopta | in Detection & Control of Disease in | Chp 3 | 13-20 | 2017 | Chong et al | |
44 | Emerging technology to measure habitat quality and behavior of | Wildlife Biology |
| 1-10 | 2017 | Forbey et al | |
45 | Electronic nose with polymer-composite sensors for monitoring fungal deterioration of stored rapeseed | Intl Agrohysics | 31 | 317-325 | 2017 | Gancarz et al | |
46 | Development of a Portable Electronic Sensor for Detection of the Kudzu Bug, Megacopta cribraria (Fabricius) (Hemiptera: Plataspidae) | Adv Entymology | 5 | 75-86 | 2017 | Lampson et al | |
47 | Approaches to subspecies diagnostics in big sagebrush (Artemisia tridentata) using an Electronic Nose | USDA - FS Report |
| 1-19 | 2014 | Ortiz et al | |
48 | Ecological Genetics of Big Sagebrush (Artemisia tridentata): Genetic Structure and Climate-based Seed | USDA - FS Report |
| 18-24 | 2014 | Richardson et al | |
49 | Development of a Portable Electronic Nose for Detection of Cotton Damaged by Nezara viridula (Hemiptera: Pentatomidae) | Journal of Insects |
| 1-8 | 2014 | Lampson et al | |
50 | The detection of foodborne bacteria on beef: The application of the electronic nose | SpringerPlus | 2:687 | 1-9 | 2013 | Abdallah et al | |
51 | Investigation of gas sensor-based artificial olfactory systems for screening salmonella typhimurium contamination in beef | Food Bioprocess Technology | 5 | 1206-1219 | 2012 | Balasubramanian et al | |
52 | Temporal dynamics and electronic nose detection of stink bug- induced volatile emissions from cotton bolls | Psyche - Journal of Entomology |
| 1-9 | 2012 | Degenhardt et al | |
53 | Detecting stink bugs/damage in cotton utilizing a portable electronic nose | Computers and Electronics in | 70 | 157-162 | 2010 | Henderson et al | |
54 | Rapid detection of E. coli on goat meat by electronic nose | Advances in Natural Science | 3 | 185-191 | 2010 | Ding et al | |
55 | Detection of onion postharvest diseases by analyses of headspace volatiles using a gas sensor array and GC-MS | LWT - Food Science and Technology | 44 | 1019-1025 | 2010 | Li et al | |
56 | Gas sensor array for blueberry fruit disease detection and classification | Postharvest Biology and Technology | 55 | 144-149 | 2010 | Li et al | |
57 | Development and evaluation of gustatory and olfactory sensors for detection of salmonella contamination in beef | North Dakota State university | PhD Thesis | 294 pgs | 2010 | Punyatoya | |
58 | Detecting Insect Infestation Using a Carbon/Polymer Composite Based Sensor Array | ECS Transactions | 33 | 85-89 | 2010 | Weerakoon et al | |
59 | Onion sour skin detection using a gas sensor array and support vector machine | Sens. & Instrumen. Food Quality | 3 | 193-202 | 2009 | Li et al | |
60 | Inligent electronic nose system for basal stem rot disease detection | Computers and Electronics in | 66 | 140-146 | 2009 | Markom et al | |
61 | The feasibility study of utilising electronic nose and ANN for plant malaise detection | Proceedings of MUCET | 2008 | 1-6 | 2008 | Markom et al | |
62 | Identification of stink bugs using an electronic nose | Journal of Bionic Engineering | 5 | 172-180 | 2008 | Lan et al | |
Air Quality and Industrial Applications, Sensors and Computation | |||||||
63 | Odor Space Navigation Using Multisensory E-Nose | Automation and Remote Control | 79 | 167-179 | 2018 | Krylov | |
64 | Prediction of Human Responses to Dairy Odor Using an Electronic Nose and Neural Networks | Am Soc Agric Biol Eng | 61 | 399-409 | 2018 | Chang et al | |
65 | Detection of microorganisms onboard the International Space Station using an electronic nose | Grav. Space Research | 5 | 89-111 | 2017 | Reidt et al | |
66 | Preliminary Studies of Honey Queen Bee Conditions Using Cyranose 320 Nose Technology | ACMSE | 30 | 1-6 | 2018 | Johnson et al | |
67 | Influence of chemical additives and wax modifiers on odor emissions of road asphalt | Construction and Building Materials | 183 | 485-492 | 2018 | Auitano et al | |
68 | Optimizing prediction of human assessments of dairy odors using input variable selection | Comp and Elect in Agriculture | 150 | 402-410 | 2018 | Chang et al | |
69 | Analytical assessment of asphalt odor patterns in hot mix asphalt production | Journal of Cleaner | 172 | 1212-1223 | 2018 | Auitano et al | |
70 | Analytical assessment of asphalt odor patterns in hot mix asphalt production | J Cleaner Prod | 172 | 1212-1223 | 2018 | Auitano et al | |
71 | Enzymatic synthesis of isopentyl caprylate using fusel oil as feedstock | Química Nova | 40 | 541-547 | 2017 | Vilas Bôas et al | |
72 | Prediction of human assessments of dairy odor using instruments by sensor fusion and Neural Networks | Penn State Univ | PhD thesis |
| 2016 | Chang | |
73 | Principles of construction of system aromasecurity | ecom IT | 4 | 97-104 | 2016 | Afanasiev et Al | |
74 | Improving recognition of odors in a waste management plant by using electronic noses with different technologies, gas chromatography–mass spectrometry/olfactometry and dynamic | Journal of Cleaner Production | 133 | 1395–1402 | 2016 | Giungato et al | |
75 | An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose | IEEE Trans Neural | 99 | 1-14 | 2016 | Wang et al | |
76 | VLSI implementation of a bio-inspired olfactory spiking neural network | Neural Networks and Learning IEEE | 23 | 1065-1073 | 2012 | Hsieh et al | |
77 | Using an electronic nose to rapidly assess grandlure content in boll weevil pheromone lures | Journal of Bionic Engineering | 8 | 449-454 | 2011 | Suh et al | |
78 | Spiking neural networks' model with spike frequency adaptation for e-nose | IEEE Aerospace Elect Conf(NAECON) |
|
| 2011 | Badiei et al | |
79 | Influence of carbon black content and film thickness on vapor detection properties of polyvinylpyrrolidone composite sensors | Current Applied | 10 | 10-15 | 2010 | Kim YS | |
80 | A local weighted nearest neior algorithm and a weighted and constrained least-squared method for mixed odor analysis by electronic nose systems | Sensors | 10 | 10467-10483 | 2010 | Tang et al | |
81 | Sampling spiking neural network electronic nose on a tiny-chip | Circuits and Systems (MWSCAS) | 53 | 81-84 | 2010 | Zhody et al | |
82 | Orthogonal gas sensor arrays with inligent algorithms for early warning of electrical fires | Sensors and Actuators B: | 130 | 889-899 | 2010 | Ni et al | |
83 | Odor recognition for inligent systems | IEEE Inligent Systems | 23 | 41-48 | 2008 | Loutfi et al | |
84 | Identification of the biodiesel source using an electronic nose | Energy Fuels | 22 | 2743–2747 | 2008 | Giordani et al | |
85 | Electronic Nose Technology Applied to Air Pollution from Solid Waste | CWRU Report |
| 1-23 | 2008 | Cox et al |