A Solid Trap and Thermal Desorption System with Application to a Medical Electronic Nose

Xu, Xuntao; Fang, Tian; Yang, Simon X.; Qi, Linlu; Jia, Yan; Machacek, Jianwei

doi:10.3390/s8116885

Cited by 14 publications

(12 citation statements)

References 20 publications

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“…E-noses, also known as artificial olfaction devices, have been widely developed over the past two decades. They have been extensively employed in diverse applications ranging from medical diagnosis to the food industry, environmental protection, and agriculture [ 37 , 38 , 39 , 40 ]. These systems are designed to mimic the mammalian olfactory system.…”

Section: Electronic Nose Detecting Technologymentioning

confidence: 99%

Plant Pest Detection Using an Artificial Nose System: A Review

Cui

Ling

Zhu

et al. 2018

Sensors

162

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This paper reviews artificial intelligent noses (or electronic noses) as a fast and noninvasive approach for the diagnosis of insects and diseases that attack vegetables and fruit trees. The particular focus is on bacterial, fungal, and viral infections, and insect damage. Volatile organic compounds (VOCs) emitted from plants, which provide functional information about the plant’s growth, defense, and health status, allow for the possibility of using noninvasive detection to monitor plants status. Electronic noses are comprised of a sensor array, signal conditioning circuit, and pattern recognition algorithms. Compared with traditional gas chromatography–mass spectrometry (GC-MS) techniques, electronic noses are noninvasive and can be a rapid, cost-effective option for several applications. However, using electronic noses for plant pest diagnosis is still in its early stages, and there are challenges regarding sensor performance, sampling and detection in open areas, and scaling up measurements. This review paper introduces each element of electronic nose systems, especially commonly used sensors and pattern recognition methods, along with their advantages and limitations. It includes a comprehensive comparison and summary of applications, possible challenges, and potential improvements of electronic nose systems for different plant pest diagnoses.

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Section: Electronic Nose Detecting Technologymentioning

confidence: 99%

Plant Pest Detection Using an Artificial Nose System: A Review

Cui

Ling

Zhu

et al. 2018

Sensors

162

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“…An artificial intelligent nose or Electronic nose (E-nose), which is designed to mimic the functionality of a human nose, provides a rapid and real-time approach to detect VOCs. It is coupled with different types of sensor arrays, a signal conditioning module, a data acquisition unit, and pattern recognition algorithms that emulate the roles of the olfactory bulb, nervous system, and brain [13]. Such technology has been widely developed in the past two decades and extensively employed in diverse applications ranging from medical diagnosis to the food industry, environmental protection, and agriculture [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Development of Fast E-nose System for Early-Stage Diagnosis of Aphid-Stressed Tomato Plants

Cui

Inocente

Acosta

et al. 2019

Sensors

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An electronic nose (E-nose) system equipped with a sensitive sensor array was developed for fast diagnosis of aphid infestation on greenhouse tomato plants at early stages. Volatile organic compounds (VOCs) emitted by tomato plants with and without aphid attacks were detected using both the developed E-nose system and gas chromatography mass spectrometry (GC-MS), respectively. Sensor performance, with fast sensor responses and high sensitivity, were observed using the E-nose system. A principle component analysis (PCA) indicated accurate diagnosis of aphid-stressed plants compared to healthy ones, with the first two PCs accounting for 86.7% of the classification. The changes in VOCs profiles of the healthy and infested tomato plants were quantitatively determined by GC-MS. Results indicated that a group of new VOCs biomarkers (linalool, carveol, and nonane (2,2,4,4,6,8,8-heptamethyl-)) played a role in providing information on the infestation on the tomato plants. More importantly, the variation in the concentration of sesquiterpene VOCs (e.g., caryophyllene) and new terpene alcohol compounds was closely associated with the sensor responses during E-nose testing, which verified the reliability and accuracy of the developed E-nose system. Tomato plants growing in spring had similar VOCs profiles as those of winter plants, except several terpenes released from spring plants that had a slightly higher intensity.

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“…By detecting odor patterns the nose system would then be able to classify a vapor mixture and perform security actions as required. Different levels of security exist, depending number of odors required as keys to generate a specific password (El Barbri et al, 2008;Xu et al, 2008;Qu et al, 2009;Baietto et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

A Novel Odor Key Technique for Security Applications Using Electronic Nose System

Iskandarani¹

2010

American Journal of Applied Sciences

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Problem statement:A novel approach to security applications that makes use of odors as password generators is developed and tested. The developed system detects and converts odor signals that are randomly selected to binary signals and then intelligently compares them with previously stored values. Approach: The interface device in question then either opens its interface if comparison is successful or applies security measures to extra protect resources from intrusion. The used odor keys are initially unknown to the user as it is randomly selected from a box containing many types, adding extra security to the system. This approach eliminated any possibility of hacking into the system and provides passwords which were truly secured. Results: Normal interfacing methods and algorithms were subject to hacking and infiltration. Random odor combinational keys are a novel, well secured biometric interfacing means to a wide range of systems. Design and testing of a practical electronic nose that can be used as a security interface in a wide variety of applications with a combinational odor key algorithm that ensures a hacking free environment. Conclusion/Recommendations: Successful implementation of human-machine interface through a highly secured electronic nose with very encouraging results in terms of possible odor combinations and multi-dimensional password generation.

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A Solid Trap and Thermal Desorption System with Application to a Medical Electronic Nose

Cited by 14 publications

References 20 publications

Plant Pest Detection Using an Artificial Nose System: A Review

Plant Pest Detection Using an Artificial Nose System: A Review

Development of Fast E-nose System for Early-Stage Diagnosis of Aphid-Stressed Tomato Plants

A Novel Odor Key Technique for Security Applications Using Electronic Nose System

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