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：149

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采用NoseChip®纳米复合传感器阵列和*的模式识别算法，通过其气味印迹检测和识别感兴趣的化学蒸气。综合起来，这些技术能够根据气味印迹可视化的化学特征快速检测和识别物质。

Cyranose 320中的知识产权在美国和拥有超过60项，用于传感器技术，探测器产品和eNose应用

截至 2018年,世界各地 Cyranose 320用户发表了500多份关于工业和医学研究的出版物

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

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