State of the Art Olfactometers. Different Types Journal of Bioscience & Biomedical Engineering Research Article
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Hybrid Nanostructures for Artificial Machine Olfaction Landon Joseph Oakes Western Kentucky University, [email protected]
Western Kentucky University TopSCHOLAR® Masters Theses & Specialist Projects Graduate School 5-2012 Hybrid Nanostructures for Artificial Machine Olfaction Landon Joseph Oakes Western Kentucky University, [email protected] Follow this and additional works at: http://digitalcommons.wku.edu/theses Part of the Physics Commons Recommended Citation Oakes, Landon Joseph, "Hybrid Nanostructures for Artificial Machine Olfaction" (2012). Masters Theses & Specialist Projects. Paper 1150. http://digitalcommons.wku.edu/theses/1150 This Thesis is brought to you for free and open access by TopSCHOLAR®. It has been accepted for inclusion in Masters Theses & Specialist Projects by an authorized administrator of TopSCHOLAR®. For more information, please contact [email protected]. HYBRID NANOSTRUCTURES FOR ARTIFICIAL MACHINE OLFACTION A Thesis Presented to The Faculty of the Department of Physics Western Kentucky University Bowling Green, Kentucky In Partial Fulfillment Of the Requirement for the Degree Master of Science By Landon Joseph Oakes May 2012 ACKNOWLEDGEMENTS I would like to acknowledge the profound assistance I have received from the director of this ongoing research project, Dr. Vladimir Dobrokhotov, and all of the time, effort, and consideration he has put forth over the course of this evolving thesis. I would like to thank Dr. Keith Andrew for his insights and comments regarding the direction of my thesis and his help in finding support for this project. I would like to thank Dr. Alexander Barzilov for directing the Homeland Security program during my time as a student and for his participation as a member of my thesis committee. Lastly, I would like to thank all of my colleagues, friends, and family which have supported me over the course of my educational career. -
Histology and Surface Morphology of the Olfactory Epithelium in the Freshwater Teleost Clupisoma Garua (Hamilton, 1822)
FISHERIES & AQUATIC LIFE (2019) 27: 122 - 129 Archives of Polish Fisheries DOI 10.2478/aopf-2019-0014 RESEARCH ARTICLE Histology and surface morphology of the olfactory epithelium in the freshwater teleost Clupisoma garua (Hamilton, 1822) Saroj Kumar Ghosh Received – 07 May 2019/Accepted – 27 August 2019. Published online: 30 September 2019; ©Inland Fisheries Institute in Olsztyn, Poland Citation: Ghosh S.K. 2019 – Histology and surface morphology of the olfactory epithelium in the freshwater teleost Clupisoma garua (Hamil- ton, 1822) – Fish. Aquat. Life 27: 122-129. Abstract. The anatomical structure of the olfactory organ and Introduction the organization of various cells lining the olfactory mucosa of Clupisoma garua (Siluriformes; Schilbeidae) were The olfactory system in fishes is a notable sensory or- investigated with light and scanning electron microscopy. The olfactory organ was composed of numerous lamellae of gan because it is essentially a chemoreceptor for de- various sizes, radiating outward from both sides of the narrow tecting and identifying water-soluble compounds to midline raphe, forming an elongated rosette. Each lamella collect information about the surrounding aquatic consisted of the olfactory epithelium and a central lamellar ecosystem. Smell is one of the most significant space, the central core. The epithelium covering the surface of senses, and it drives basic patterns of behaviors in the rosette folds was differentiated into zones of sensory and most teleosts such as foraging, alarm response, pred- indifferent epithelia. The sensory part of epithelium was characterized by three types of morphologically distinct ator avoidance, social communication, reproductive receptor neurons: ciliated receptor cells, microvillous receptor activity, and homing migration (Gayoso et al. -
The Whiskey Machine: Nanofactory-Based Replication of Fine Spirits and Other Alcohol-Based Beverages
The Whiskey Machine: Nanofactory-Based Replication of Fine Spirits and Other Alcohol-Based Beverages © 2016 Robert A. Freitas Jr. All Rights Reserved. Abstract. Specialized nanofactories will be able to manufacture specific products or classes of products very efficiently and inexpensively. This paper is the first serious scaling study of a nanofactory designed for the manufacture of a specific food product, in this case high-value-per- liter alcoholic beverages. The analysis indicates that a 6-kg desktop appliance called the Fine Spirits Synthesizer, aka. the “Whiskey Machine,” consuming 300 W of power for all atomically precise mechanosynthesis operations, along with a commercially available 59-kg 900 W cryogenic refrigerator, could produce one 750 ml bottle per hour of any fine spirit beverage for which the molecular recipe is precisely known at a manufacturing cost of about $0.36 per bottle, assuming no reduction in the current $0.07/kWh cost for industrial electricity. The appliance’s carbon footprint is a minuscule 0.3 gm CO2 emitted per bottle, more than 1000 times smaller than the 460 gm CO2 per bottle carbon footprint of conventional distillery operations today. The same desktop appliance can intake a tiny physical sample of any fine spirit beverage and produce a complete molecular recipe for that product in ~17 minutes of run time, consuming <25 W of power, at negligible additional cost. Cite as: Robert A. Freitas Jr., “The Whiskey Machine: Nanofactory-Based Replication of Fine Spirits and Other Alcohol-Based Beverages,” IMM Report No. 47, May 2016; http://www.imm.org/Reports/rep047.pdf. 2 Table of Contents 1. -
Development of an Electronic Nose for Smell Categorization Using Artificial Neural Network
Journal of Advances in Information Technology Vol. 12, No. 1, February 2021 Development of an Electronic Nose for Smell Categorization Using Artificial Neural Network Dailyne Macasaet, Argel Bandala, Ana Antoniette Illahi, Elmer Dadios, Sandy Lauguico, and Jonnel Alejandrino De La Salle University-Manila, Philippines Email: {dailyne_macasaet, argel.bandala, ana.illahi, elmer.dadios, sandy_lauguico, jonnel_alejandrino}@dlsu.edu.ph Abstract—Electronic Nose employs an array of gas sensors recognition algorithm and integrating multi-sensor array and has been widely used in many specific applications for therefore creating an artificial olfactory system which we the analysis of gas composition. In this study, electronic technically refer to as electronic nose [3]. nose, integrating ten MQ gas sensors, is intended to model Artificial olfaction had its beginnings with the olfactory system which generally classifies smells based on invention of the first gas multi-sensor array in 1982 [4]. ten basic categories namely: fragrant, sweet, woody/resinous, pungent, peppermint, decaying, chemical, From this, several works have been done in the past citrus, fruity, and popcorn using artificial neural network as attempting to mimic the mammalian olfactory system its pattern recognition algorithm. Initial results suggest that employing different methods. J. White et al. (1998) used four (Pungent, Chemical, Peppermint, and Decaying) an array of fiber-optic chemosensors and sent the outputs among the ten classifications are detectable by the sensors of the sensors to an olfactory bulb [5]. They then used a commercially available today while technology for delay line neural network to perform recognition. In the classifying the remaining six is still under development. year 2000, a study conducted by S Schiffman et al. -
Development of a Mobile Device for Odor Identification and Optimization
sensors Article Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement Gaku Imamura 1,* and Genki Yoshikawa 2,3 1 International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), World Premier International Research Center Initiative (WPI), 1-1 Namiki, Tsukuba 305-0044, Japan 2 Center for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Japan; [email protected] 3 Materials Science and Engineering, Graduate School of Pure and Applied Science, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8571, Japan * Correspondence: [email protected]; Tel.: +81-0-29-860-4988 Received: 30 September 2020; Accepted: 28 October 2020; Published: 30 October 2020 Abstract: Practical applications of machine olfaction have been eagerly awaited. A free-hand measurement, in which a measurement device is manually exposed to sample odors, is expected to be a key technology to realize practical machine olfaction. To implement odor identification systems based on the free-hand measurement, the comprehensive development of a measurement system including hardware, measurement protocols, and data analysis is necessary. In this study, we developed palm-size wireless odor measurement devices equipped with Membrane-type Surface stress Sensors (MSS) and investigated the effect of measurement protocols and feature selection on odor identification. By using the device, we measured vapors of liquids as odor samples through the free-hand measurement in different protocols. From the measurement data obtained with these protocols, datasets of transfer function ratios (TFRs) were created and analyzed by clustering and machine learning classification. -
The Pattern of Olfactory Innervation by W
J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.9.3.101 on 1 July 1946. Downloaded from THE PATTERN OF OLFACTORY INNERVATION BY W. E. LE GROS CLARK and R. T. TURNER WARWICK From the Department of Anatomy, University of Oxford (RECEIVED 31ST JULY, 1946) IT is desirable that, from time to time, commonly Methods accepted statements regarding anatomical pathways Most of the observations recorded in this paper were and connexions in the peripheral and central nervous made on rabbit material. The fixation of the olfactory systems should be carefully reviewed in the light of mucosa presented considerable difficulty. The method modern technical methods of investigation, for it finally selected, because it gave the best results with must be admitted that not a few of these statements protargol and was also adequate for the other stains are based on old methods which are now recognized employed, was perfusion of 70 per cent. alcohol through to be too crude to permit of really accurate con- the aorta, after preliminary washing through with normal clusions. In recent years, indeed, a number of saline, as recommended by Bodian (1936). Another facts have been shown unexpected difficulty arose from the fact that a large apparently well-established number of laboratory rabbits suffer from a chronic by critical studies to be erroneous. For example, rhinitis which leads to gross pathological changes in the the so-called ventral nucleus of the lateral geniculate olfactory mucosa. Consequently, a considerable pro- Protected by copyright. body and the pulvinar are no longer accepted as portion of our material, experimental and otherwise, terminal stations of the optic tract, and the strie had to be discarded as useless. -
Smell and Stress Response in the Brain: Review of the Connection Between Chemistry and Neuropharmacology
molecules Review Smell and Stress Response in the Brain: Review of the Connection between Chemistry and Neuropharmacology Yoshinori Masuo 1,*, Tadaaki Satou 2 , Hiroaki Takemoto 3 and Kazuo Koike 3 1 Laboratory of Neuroscience, Department of Biology, Faculty of Science, Toho University, 2-2-1 Miyama, Funabashi, Chiba 274-8510, Japan 2 Department of Pharmacognosy, Faculty of Pharmaceutical Sciences, International University of Health and Welfare, 2600-1 Kitakanemaru, Ohtawara, Tochigi 324-8501, Japan; [email protected] 3 Department of Pharmacognosy, Faculty of Pharmaceutical Sciences, Toho University, 2-2-1 Miyama, Funabashi, Chiba 274-8510, Japan; [email protected] (H.T.); [email protected] (K.K.) * Correspondence: [email protected]; Tel.: +81-47-472-5257 Abstract: The stress response in the brain is not fully understood, although stress is one of the risk factors for developing mental disorders. On the other hand, the stimulation of the olfactory system can influence stress levels, and a certain smell has been empirically known to have a stress- suppressing effect, indeed. In this review, we first outline what stress is and previous studies on stress-responsive biomarkers (stress markers) in the brain. Subsequently, we confirm the olfactory system and review previous studies on the relationship between smell and stress response by species, such as humans, rats, and mice. Numerous studies demonstrated the stress-suppressing effects of aroma. There are also investigations showing the effects of odor that induce stress in experimental animals. In addition, we introduce recent studies on the effects of aroma of coffee beans and essential oils, such as lavender, cypress, α-pinene, and thyme linalool on the behavior and the expression of stress marker candidates in the brain. -
Odor Assessment of Automobile Cabin Air by Machine Olfaction
Odor Assessment of Automobile Cabin Air by Machine Olfaction J. Li, R. D. Hodges, S. S. Schiffman, R. Gutierrez-Osuna G. Luckey, J. Crowell H. T. Nagle Department of Computer Science Materials Development Department Department of Electrical and and Engineering Hyundai Motor Group Computer Engineering Texas A&M University Superior Township, MI, USA North Carolina State University College Station, TX, USA Raleigh, NC, USA Abstract—Odor quality in the cabin air of automobiles can be proposed to substitute for (or to assist) humans in odor a significant factor in the decision to purchase a vehicle and the assessment roles. overall customer satisfaction with the vehicle over time. Current Over the past 30 years, machine olfaction devices have standard practice uses a human panel to rate the vehicle cabin been utilized to detect and identify odorants in a wide variety odors on intensity, irritation, and pleasantness. However, human of commercial industries such as agricultural [3], food panels are expensive, time-consuming and complicated to administer. To address this issue, we have developed a machine manufacturing [3-6], fragrance and cosmetics production [7], olfaction approach to assess odors inside automobiles for the environmental monitoring [3], pharmaceuticals [3, 8, 9], and purpose of enhancing or replacing the human panel by medical diagnosis [3, 10, 11]. These systems consist of an evaluating the correlation between the system performance and a array of odor sensors to generate patterns of response and trained human panel. Our approach employs an ion-mobility signal processing algorithms to recognize and analyze the spectrometer and a photoionization detector for measuring patterns. -
The Olfactory Bulb As an Independent Developmental Domain
Cell Death and Differentiation (2002) 9, 1279 ± 1286 ã 2002 Nature Publishing Group All rights reserved 1350-9047/02 $25.00 www.nature.com/cdd Review The olfactory bulb as an independent developmental domain LLo pez-Mascaraque*,1,3 and F de Castro2,3 established. Does it awake the developmental program of the cells at the site being innervated or, does their arrival simply 1 Instituto Cajal-C.S.I.C., Madrid, Spain serve to refine the later steps of the developmental program? 2 Hospital RamoÂn y Cajal, Madrid, Spain In order to address this question, much attention has been 3 Both authors contributed equally to this work focused on the sophisticated development of the mammalian * Corresponding author: L LoÂpez-Mascaraque, Instituto Cajal, CSIC, Avenida del cerebral cortex where two different theories have been Doctor Arce 37, 28002 Madrid, Spain. Tel: 915854708; Fax: 915854754; E-mail: [email protected] proposed to explain the mechanisms underlying its formation. In the `protomap' model, cortical regions are patterned prior to Received 13.2.02; revised 30.4.02; accepted 7.5.02 the migration of the newborn neurons (intrinsic control),1 an Edited by G Melino event presumably specified by important molecular determi- nants.2 In this model, the arrival of innervating axons would Abstract merely serve to modify and refine the protomap (an important The olfactory system is a good model to study the facet of maintenance). In the second model, the `protocortex' theory, the newborn cortical neurons are a homogeneous cell mechanisms underlying guidance of growing axons to their population, that later on in corticogenesis are patterned into appropriate targets. -
Neuropilin-1 Facilitates SARS-Cov-2 Cell Entry and Provides a Possible Pathway Into the Central Nervous System
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.07.137802; this version posted June 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Neuropilin-1 facilitates SARS-CoV-2 cell entry and provides a possible pathway into the central nervous system Ludovico Cantuti-Castelvetri1,2*, Ravi Ojha3*, Liliana D. Pedro 1,2*, Minou Djannatian1,2*, Jonas Franz4*, Suvi Kuivanen5*, Katri Kallio3, Tuğberk Kaya1,2,6, Maria Anastasina3,7, Teemu Smura5, Lev Levanov5, Leonora Szirovicza5, Allan Tobi8, Hannimari Kallio-Kokko9, Pamela Österlund10, Merja Joensuu11, Frédéric A. Meunier11, Sarah Butcher3,7, Martin Sebastian Winkler12, Brit Mollenhauer13, Ari Helenius14, Ozgun Gokce6,19, Tambet Teesalu3,15,16, Jussi Hepojoki5,17, Olli Vapalahti5,9,18, Christine Stadelmann4, Giuseppe Balistreri3§, Mikael Simons1,2,19§ 1Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany 2German Center for Neurodegenerative Diseases (DZNE), Munich, Germany 3Faculty of Biological and Environmental Sciences, Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland 4 Department of Neuropathology, University Medical Center Göttingen, Göttingen, Germany 5University of Helsinki, Medicum, Department of Virology, Helsinki, Finland 6 Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany 7Helsinki Institute of Life Sciences-Institute of Biotechnology, University of Helsinki, Finland 8Laboratory of Cancer Biology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia 9University of Helsinki and Helsinki University Hospital, Department of Virology, Helsinki, Finland 10Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland 11Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia. -
Electronic Nose and Its Applications: a Survey
International Journal of Automation and Computing 17(2), April 2020, 179-209 DOI: 10.1007/s11633-019-1212-9 Electronic Nose and Its Applications: A Survey Diclehan Karakaya Oguzhan Ulucan Mehmet Turkan Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir 35330, Turkey Abstract: In the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medi- cine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great ad- vantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, fur- ther enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an ex- tensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic. Keywords: Artificial intelligence, machine learning, pattern recognition, electronic nose (EN), sensors technology. 1 Introduction aromas with a chemical electronic sensor array was primarily mentioned in [12] and then in [13] in the early All kinds of innovation are possible with inspiration. 1980s. However, the EN concept could not be actualized As image processing is inspired by the sense of sight, the at that time due to limitations in the sensors technology. electronic nose (abbreviation EN, enose, e-nose) – also In the late 1990s then, the term “electronic nose” was known as an odor sensor, aroma sensor, mechanical nose, mentioned in [14]. -
Lecture 14 --Olfaction.Pdf
14 Olfaction ClickChapter to edit 14 MasterOlfaction title style • Olfactory Physiology • Neurophysiology of Olfaction • From Chemicals to Smells • Olfactory Psychophysics, Identification, and Adaptation • Olfactory Hedonics • Associative Learning and Emotion: Neuroanatomical and Evolutionary Considerations ClickIntroduction to edit Master title style Olfaction: The sense of smell Gustation: The sense of taste ClickOlfactory to edit Physiology Master title style Odor: The translation of a chemical stimulus into a smell sensation. Odorant: A molecule that is defined by its physiochemical characteristics, which are capable of being translated by the nervous system into the perception of smell. To be smelled, odorants must be: • Volatile (able to float through the air) • Small • Hydrophobic (repellent to water) Figure 14.1 Odorants ClickOlfactory to edit Physiology Master title style The human olfactory apparatus • Unlike other senses, smell is tacked onto an organ with another purpose— the nose. Primary purpose—to filter, warm, and humidify air we breathe . Nose contains small ridges, olfactory cleft, and olfactory epithelium ClickOlfactory to edit Physiology Master title style The human olfactory apparatus (continued) • Olfactory cleft: A narrow space at the back of the nose into which air flows, where the main olfactory epithelium is located. • Olfactory epithelium: A secretory mucous membrane in the human nose whose primary function is to detect odorants in inhaled air. Figure 14.2 The nose ClickOlfactory to edit Physiology Master title style Olfactory epithelium: The “retina” of the nose • Three types of cells . Supporting cells: Provide metabolic and physical support for the olfactory sensory neurons. Basal cells: Precursor cells to olfactory sensory neurons. Olfactory sensory neurons (OSNs): The main cell type in the olfactory epithelium.