Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Kenshi Hayashi Last modified date:2022.07.07

Professor / Electronic Devices / Department of Electronics / Faculty of Information Science and Electrical Engineering


Presentations
1. Analysis of Taste by Electrochemical Method Using Controlled Interface Potential
In the present study, we discussed the method to detect chemical substances and an analysis of the taste by means of the change of interaction between electrode surface and chemical substances. Electrode surface is controlled by the interface potential of the metal electrode in the aqueous solution. As a result, it turned out that the taste of chemical substances can be explained from the interaction based on the electrode polarity and detected chemical substances with high sensitivity. The output of electrode response was comparable to that of a human sensation, and it was confirmed that this method can be useful transducers for a taste sensor..
2. Ju M. J., Hayashi K., Toko K., Analysis of Taste of Amino Acids Using Surface Polarity Controlling Sensor (化学センサ・その他有機,生体材料一般 ショートプレゼンテーション(ポスターセッション)), 電子情報通信学会技術研究報告. OME, 有機エレクトロニクス, 2000.08, Taste of amino acids was studied using a method to detect the change of interaction between the electrode surface and the taste substances in the aqueous solution. Amino acids exhibit complex taste compositions, e.g., sweetness, bitterness, sourness and umami. The sensor impedance shows different pontential profile patterns for amino acids which have different taste qualities, while it shows similar patterns for the amino acids with similar tastes. Amino acids can be classified into four groups according to their own tastes with sensor outputs. It implies that the taste of amino acid can be measured with the present method and be explained from the interaction based on the electrode polarity. The sensor response has good correlation with human sensitivity and higher sensitivity than that of a human sensation. The present method can provide useful transducers in the development of a sensor which can analyze taste qualitatively and quantitatively..
3. High Sensitive Detection of Environmental Hormones with Electrode Polarity Controlling Method
It has been noticed recently that there is a possibility of elution of chemical substances from packages of foods. The chemicals act as harmful substances such as environmental hormones for biological bodies at very low concentration. It is therefore necessary to develop a sensing device, which can detect such substances easily and quickly. The purpose of the present study is high sensitive measurement of environmental hormones using electrode polarity controlling method. The responding ability of the polarity-controlled sensor covers various chemicals from electrolytes to nonelectrolytes and from hydrophilic to hydrophobic substances. As a result, we could sensitively detect environmental hormones in ppb order and could get the character of environmental hormones. The present sensor could distinguish such chemicals from ordinary taste sumstances. Furthermore, by improving the surface treatment of electrode, the neutral substance was detected specifically..
4. The gas sensor using percolation of graphite dispersion
Even now human nose is indispensable for the quality control and product development in manufacture of food, cosmetics and perfume. However, human cannot bear a test for hours and the result is influenced by each health condition. And in environmental measurement or a safety control, we have to inspect such odors as a bad smell and a dangerous smell. Furthermore, results by human nose have deviations by individual differences. It is therefore necessary to develop a sensing device, which can evaluate a smell. In this research, we directed our attention to graphite dispersion as a new transducer for electro nose. As a result, we could make the gas sensor using percolation of graphite dispersion and measure the percolation character of this device. And then we could attain raising the sensitivity to the chloroform by using the percolation phenomenon..
5. Detection of Aldehyde and Carboxylic Acid Using Surace-Polarity Contorolled Sensor
Aldehyde and carboxylic acid compounds are known as bad smell substances. It also said to cause bad smell of tap water. In this study, we tried detection and analysis of aldehyde and carboxylic acid dissolved in the water, using the surface-polarity controlled sencor. The sencor measuers electrochemical impedance of the electrode surface whose electric potential is dynamically controlled, and the impedance changes depending on the electrode potential are used as a chemical sensor output. As a result, we could detect and recognize many kinds of aldehyde and carboxylic acid. The results suggest the possibility of the simple sensor construction for environmental analysis..
6. Evaluation of partial structure of odorants using odor responses of surface polarity controlled sensor
In biological systems odorants are received by a large number of receptors. In the process of the reception, not whole structures but partial structures of molecules are recognized, and it is referred that the odor quality is recognized depending upon their combinations. In this research, paying attention to the process of human odor reception in which these receptors detect many odorant molecules with multi modal interactions, the development of a novel odor sensing system had been attempted. Utilizing surface polarity controlling method as a transducer of the sensor, many odorant molecules were detected through interaction on the surface of the electrode. Paying attention to alcohols, aromatic compounds and aromatic alcohols as odorants, the discrimination of their responses by similar molecular structures was attempted. As a result, output patterns of this sensor were reflected by partial structures of odorant molecules, and it became possible to evaluate odorants by them..
7. Detecting of aromatic nitro compounds with electrode polarization controlling sensor
While the international public opinion of abolition of landmines is increasing, development of landmine detection technology progresses slowly, so detection activities are mainly performed with metal detectors that are not only inefficient but also dangerous. Therefore, the more efficient landmine detection method is desired. Most landmines contain aromatic nitoro compounds like DNT or TNT as explosive charge, and it is possible to perform landmine detection by detection of these substances that exist near a landmine. In this report, we tried to detect aromatic nitro compounds by using electrode polarization controlling method. The results showed that we could sensitively detect about under ppm aromatic nitoro compounds. and this method enables us to develop the sensor for landmine detection..
8. Evaluation of Synergistic Effect of Umami Taste Using Impedance Measurement of Lipid Membranes
It is well known that synergistic effect of umami taste occurs between monosodium glutamate(MSG) and inosine 5'-monophosphate(IMP), and it is used all over the world. In this study, we tried to detect synergistic effect of umami taste by impedance measurement of lipid membranes, and elucidate how MSG affects to lipid membranes. We overcame low reproducibility of impedance measurement by improving experimental procedure and lipid membranes and succeeded in detection of synergistic effect of umami taste. Furthermore, mechanism of synergistic effect of umami taste on lipid membranes were proposed by pH measurement of the solution..
9. Supersensitive Detection of Explosives with Molecular Recognition Nano-Ultrathin Membrane in Surface-Polarization Controlling Method
Thin oxide layers with nano-controlled structures are known to display advantages for designing unique chemical functions. In this study, we developed a Ti0_2 gel ultrathin film immobilized with γ-CD, which is one of the molecular recognition compounds, as a sensing device for detecting of explosives in electrochemical impedance spectroscopy (EIS),i.e., surface-polarization controlling method. The surface molecular imprinting using γ-CD onto the TiO_2 gel ultrathin film greatly enhanced the sensitivity and selectivity of the sensor for explosives, especially for 2,4-dinitrotoluene (DNT)..
10. Development of nitro-compounds preconcentrator for biosensor to detect landmines
20,000 or more people have been injured and killed per a year by anti-personnel mines. However, detection of landmines using metal detectors has reached the limit on effciency and reliability. It is desired that landmine detectors have higher reliability and easy handling. The aromatic nitro compounds like trinitrotoluene are used as the main explosives of landmines, and hence it is possible to detect landmines by detection of TNT and its derivatives, such as dinitrotoluene(DNT). In this report, we developed the preconcentration system used preconcentrator as a part of development of a mine detection biosensor system. This preconcentrator could concentrate about 140 ppb DNT 35 times. This method enables us to develop the sensor system which can detect a very low-concentration aromatic nitro compounds with extremely low cocentrations..
11. Development of nitro-compounds sampling system for SPR-based landmine detector
Recently, damage by anti-personnel landmine is regarded as serious problems all over the world. However, conventional landmine detectors have many problems in respect of efficiency or reliability. From this reason, novel landmine detectors are desired. In landmines, the nitro compounds such as trinitrotoluene (TNT) and dinitrotoluene (DNT) are contained, and those substances are leaking from the inside of a landmine into the air. Therefore landmine detection is possible by detecting such nitro compounds. In this report, we developed a sampling system used a preconcentrator as a part of development of a SPR landmine detection system. We experimented to improve the concentrating rate in this system. As a result, this preconcentrator concentrated about 140 ppb DNT vapor by 35 times at the maximum. This result indicates that the the sensor to detect very low-concentration nitro compounds is effective for landmine detection..
12. Synthesis of odor based on substructures and physicochemical properties of odorants
In various fields related to odor, many trials have been done to quantify the quality of odor, however satisfying results have not been obtained yet. In this study, we made researches on synthesis of odor to develop the method that qualify odor properties. We chose the target odor substances and the elemental odor substances paying attention to substructure and physicochemical properties of odorants, and paying no attention to flavor of the odorants. The selected odorants were measured by means of a odor sensor using surface polarity controlling method, and mixed odors synthesized through analysis of sensor responses were evaluated by the sensor and human panels. As a result, target odor became possible to evaluate quantitatively by mixing some elemental odors..
13. Development of alcohol concentration measuring system with lipid membranes.
14. Simple Analytical Method for the Determination of Ammonia gas by the Quartz Crystal Microbalance Sensor.
15. Evaluation of Japanese sake using a taste sensor system.
16. Odor discrimination and consideration of odor matching using odor separating system.
17. Fabrication and gas response of Au-NPs modified organic molecule electrode.
18. 分子認識蛍光マイクロビーズによる光学的な植物BVOC情報の測定.
19. Intuitive graphical representation of odor information based on molecular parameters.
20. Spatial Gas Detection Using Polymer Films with Multi-Fluorescent Probes.
21. Odor Space Visualization with Molecular Recognizing Optical Chemical Sensor
The odor space visualization is realized by an odor image sensing technique, the sensor was developed by using an odor imaging film composed of fluorescence probes or a localized plasmon resonance (LSPR) plasmonic gas sensor. The developed odor image sensor can detect and visualize the shape, spread and concentration distribution of odor substances brought about by real odor sources such as body odor and gas leakage. Odor space information can be analyzed and decomposed to elemental odor profiles and spread/shape of each profile represent shape of remained odor substances. Such odor space information can be recognized easily by human..
22. Odor trace visualization by a robot with high speed LSPR gas sensor module.
23. Time modulated gas sensor system for indoor events detection.
24. Preliminary investigation of odor stimulation technique in outdoor field for pest control.
25. A MISG plasmonic gas sensor for detection of body odor molecules.
26. 分子パラメータ解析による匂い情報の直感的視覚表現.
27. マルチ蛍光プローブポリマーフィルムを用いた匂いの可視化.
28. Improvement of Performance of SERS Gas Sensor by Molecular Filter.
29. Optical imaging system for gas visualization based on LSPR scattering detection.
30. Development of Plasmonic Gas Sensor with Multiple Molecular Filter Layer.
31. The examination of human-behavior event detection by time-series analyzing with time modulated type gas sensor.
32. Classification of chemical substances using odor cluster map and molecular parameters.
33. Takumi Hara, Tomo Chimura, Kohei Semasa, Fumihiro Sassa, Kenshi Hayashi, Public key cryptography and lattice-based cryptography using unidirectional characteristics of odornts response, The 6th Asian-APC, 2021.12.
34. Shiyi Zhang, Joseph Wang, Kenshi Hayashi, Fumihiro Sassa, A Robotic Electrochemical Biosensor Based on Kinetic Electronics Technique, IEEE Sensors 2021, 2021.10.
35. Xiao Ye, Tianshu Jiang, Lingpu Ge, Fumihiro Sassa, Chuanjun Liu, Kenshi Hayashi, Paper-based Chemiresistive Gas Sensor Using Molecularly Imprinted Sol-Gels for Volatile Organic Acids Detection, IEEE Sensors 2021, 2021.10.
36. Arata Sawada, Fumihiro Sassa, Kenshi Hayashi, Estimation of Distributed Concentration of Mixed Gases Using Au/Ag Core-Shell 2D LSPR Gas Sensor, IEEE Sensors 2021, 2021.10.
37. Jiang Tianshu,Ye Xiao,Ge Lingpu,Fumihiro Sassa,Kenshi Hayashi, Multi-purpose dispensing system for the fabrication of 2-D gas sensing matrix, The 5th Asian-APC Program at a Glance, 2020.11.
38. ラジェンディラン ジーナ,千村 智,佐々 文洋,林 健司, Visualization of Odor Chemicals by Network Graphs Using Their Properties
, 第 37 回 センサ・マイクロマシンと応用システム シンポジウム, 2020.10.
39. Lin Chen,Noriko Shiramatsu,Bin Chen,Fumihiro Sassa,Shoichi Sameshima,Tatsuya Seki,Kenshi Hayashi, ULTRA-HIGH SENSITIVE SERS GAS SENSOR TO DETECT GEOSMIN, IEEE SENSORS 2020, 2020.10.
40. Yasuhiro Kusuda,Zhongyuan Yang,Kohei Semasa,Fumihiro Sassa,Kenshi Hayashi, ODOR SOURCE DETECTION WITH HIGH SPEED MULTI GAS SENSING ROBOT SYSTEM USING AUNPS-FLUORESCENT MOLECULAR COUPLING OPT-CHEMICAL LSPR SENSOR, IEEE SENSORS 2020, 2020.10.
41. Kohei Semasa,Fumihiro Sassa,Kenshi Hayashi, 2D LSPR GAS SENSOR WITH AU/AG CORE-SHELL STRUCTURE COATED BY FLUORESCENT DYES, IEEE SENSORS 2020, 2020.10.
42. Luo Zihan, Fumihiro Sassa, Kenshi Hayashi, Human-behavior detection with temperature modulated gas sensing by time series analysis, Bio4Apps2019, 2019.12.
43. Hao Guo, Bin Chen, Takaaki Soeda, Fumihiro Sassa, Kenshi Hayashi, Portable gas sensing probe using Localized Surface Plasmon Resonance reflectance, The 4 th Asian Applied Physics Conference (Asian-APC), 2019.11.
44. Rajendran Jeena, Tomo Chimura, Fumihiro Sassa, Kenshi Hayashi, Visualization of odor chemicals by network graphs using their properties, The 4 th Asian Applied Physics Conference (Asian-APC), 2019.11.
45. Bin Chen, Chuanjun Liu, Liang Shang, Kenshi Hayashi, Localized surface plasmon resonance sensing characteristics of anisotropic gold nanostructure, The 4 th Asian Applied Physics Conference (Asian-APC), 2019.11.
46. Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Yoichi Tomiura, Kenshi Hayashi, 2D LSPR multi gas sensor array with 4-segmented subpixel using Au/Ag core shell structure, 18th IEEE Sensors, SENSORS 2019, 2019.10, LSPR (Localized Surface Plasmon Resonance) based 2D (2 Dimensional) gas imaging sensor system which can capture spatial distribution of each constituent of mixed gas have been developed. The gas image sensor detects the gas promoted optical changes occurred on the LSPR substrate by CCD camera. Basically, LSPR gas sensor does not have a molecular selectivity, then the identification of gas species is difficult. To overcome the disadvantage, pixelated LSPR substrate based on Au/Ag core-shell structure which has different gas response properties is fabricated by photo-induced metal growth by mask-less exposure system using a commercial video projector..
47. Yasuhiro Kusuda, Zhongyuan Yang, Takaaki Soeda, Fumihiro Sassa, Kenshi Hayashi, Invisible Odor Trace Tracking with LSPR based High Speed Gas Sensor Robot System, 18th IEEE Sensors, SENSORS 2019, 2019.10, Various odor robots have been developed for finding gas sources. However, the response speed of sensors is now a major limit for the promotion of odor robot using chemical substances information. In this research, we have developed a robot equipped with two LSPR (Localized Surface Plasmon Resonance) gas sensor module that can quickly respond to gas molecules at a high speed of above 25 Hz and set a specific algorithm for tracking the invisible odor line on the ground..
48. Lin Chen, Bin Chen, Fumihiro Sassa, Kenshi Hayashi, Multi-layer Filter Structure for Molecular Selective SERS Gas Sensor, 18th IEEE Sensors, SENSORS 2019, 2019.10, Mixture of gas molecules must be accurately detected for gas sensor. However, there are certain difficulties in identifying the type of gas and detecting its concentration by chemical sensors. SERS (Surface Enhanced Raman Scattering) is a promising method for high sensitive gas detection because of its ability of molecule discrimination. However, it is difficult for SERS sensor to identify gases with the similar structure. In this research, we have developed a more selective SERS sensor with molecular filter layers. Molecular filter property is studied by coating a filter polymer film on the SERS substrate. The characteristics of the sensor with two membrane structures were also studied and different filtering properties were obtained..
49. Lingpu Ge, Bin Chen, Hiroki Kawano, Fumihiro Sassa, Kenshi Hayashi, Inkjet-printed Gas Sensor Matrix with Molecularly Imprinted Gas Selective Materials, 18th IEEE Sensors, SENSORS 2019, 2019.10.
50. Lingpu Ge, Fumihiro Sassa, Kenshi Hayashi, FLEXIBLE GAS SENSOR ARRAY BASED ON MATRIX OF MOLECULARLY IMPRINTED MATERIALS AND FULL PRINTING PROCESS, Transducers-eurosensors2019, 2019.06.
51. Zhongyuan Yang, Takaaki Soeda, Fumihiro Sassa, Kenshi Hayashi, ODOR TRACE VISUALIZATION BY MOBILE ROBOT EQUIPPED WITH TWO-DIMENSIONAL LSPR GAS SENSOR, Transducers-eurosensors2019, 2019.06.
52. Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Kenshi Hayashi, GAS VISUALIZATION WITH PHOTO-INDUCED 2D PIXEL PATTERNED AU/AG CORE-SHELL LSPR IMAGING DEVICE BY MASK-LESS EXPOSURE SYSTEM, Transducers-eurosensors2019, 2019.06.
53. Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Kenshi Hayashi, Two dimensional LSPR gas sensor with Au/Ag core-shell structure, ISOEN2019, 2019.05.
54. Hao Guo, Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Kenshi Hayashi, Probe gas sensing system based on reflected light detection from localized surface plasmon resonance, ISOEN2019, 2019.05.
55. Zhongyuan Yang, Takaaki Soeda, Fumihiro Sassa, Kenshi Hayashi, Development of Odor Visualization System with Two-Dimensional LSPR Gas Sensor for Mobile Robot, ISOEN2019, 2019.05.
56. Shota Shimizu, Liang Shang, Fumihiro Sassa, Kenshi Hayashi, Multiplexed LSPR gas sensor with an arrayed molecularly imprinted Sol-Gel filter, ISOEN2019, 2019.05.
57. Chuanjun Liu, Liang Shang, Kenshi Hayashi, Co-occurrence-based clustering of odor descriptors for predicting structure-odor relationship, ISOEN2019, 2019.05.
58. Kenshi Hayashi, Human body odor visualization with 2-dimensional sensing, ISOEN2019, 2019.05.
59. Keita Shimomi, Fumihiro Sassa, Kenshi Hayashi, Improvement of Selectivity of SERS Gas Sensor by Molecular filter, Bio4Apps2018/2019, 2019.01.
60. Wu Shuanghong, Fumihiro Sassa, Kenshi Hayashi, Odor visualization film based on multi fluorescent MIP microbeads, Bio4Apps2018/2019, 2019.01.
61. Kenshi Hayashi, Odor imaging with 2D sensing device, robot, and machine learning, Bio4Apps2018/2019, 2019.01.
62. Hao Guo, Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Kenshi Hayashi, Localized Surface Plasmon Resonance gas sensing by reflected light, 2018年(平成30年度)応用物理学会九州支部学術講演会, 2018.12.
63. Liang Shang, Chuanjun Liu, Kenshi Hayashi, High-performance molecular imprinted sol-gel LSPR array for agriculture volatile organic components sensing, 10th International Symposium on Organic Molecular Electronics (ISOME2018), 2018.05.
64. Chengkun Jiang, Fumihino Sassa, Kenshi Hayashi, Development of a printable chemiresistive gas sensor with MIP conductive ink, The 2nd Asian Applied Physics Conference, 2017.12.
65. Y. Nakai, F. Sassa, K. Hayashi, Evaluation of Triple Layer Gas Sensor for Higher Functionality, The 2nd Asian Applied Physics Conference, 2017.12.
66. Xiaoguang Ying, Chuanjun Liu, Kenshi Hayashi, Visible Recognization of Putrescine with Molecularly Imprinted Polymer, The 2nd Asian Applied Physics Conference, 2017.12.
67. Hirotaka Yoshioka, Shota Ueno, Fumihiro Sassa, Kenshi Hayashi, Odorants measurement using hyperspectral imaging and PVC film including multi fluorescent probes, IEEE SENSORS 2017, 2017.11.
68. Liang Shang, Chuanjun Liu, Kenshi Hayashi, Localized Surface Plasmon Resonance Modified with Molecularly Imprinted Sol-gel Sensor for cis-Jasmone Vapor Detection, IEEE SENSORS 2017, 2017.11.
69. Xiaoguang Ying, Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Fumihiro Sassa, Molecular Imprinting Technique in Putrescine Visualized Detection, 第34回「センサ・マイクロマシンと応用システム」シンポジウム, 2017.10.
70. Keigo Nakanishi, Fumihiro Sassa, Kenshi Hayashi, PHOTO-TUNABLE MOLECULAR RECOGNIZING SMART MATERIAL FOR GAS SENSING, Transducers 2017, 2017.06.
71. Liang Shang, Chuanjun Liu, Kenshi Hayashi, Localized surface plasmon resonance gas sensor based on molecularly imprinted sol-gel for selective cis-jasmone vapor detection, The 8th International Conference on Surface Plasmon Photonics(SPP8), 2017.05.
72. 篠原 翔, 佐々 文洋, 林 健司, Gas Responding Chemiresistor with High Selectivity Using Molecularly Imprinted Polymer Composite, 平成28年度応用物理学会九州支部学術講演会, 2016.12.
73. 商 亮, 劉 傳軍, 林 健司, LSPR sensor modified by molecularly imprinted sol-gel for selective organic acid vapor detection, 平成28年度応用物理学会九州支部学術講演会, 2016.12.
74. Sho Shinohara, Fumihiro Sassa, Kenshi Hayashi, Gas Selective Chemiresistor Composed of Molecularly Imprinted Polymer Composit Ink, IEEE SENSORS 2016, 2016.11.
75. Masashi Watanabe, Fumihiro Sassa, Kenshi Hayashi, Formation of Oriented Metal Nanostructures by Polarized Light Irradiation for Optical Sensing, IEEE SENSORS 2016, 2016.11.
76. Satoshi Araki, Masashi Watanabe, Fumihiro Sassa, Kenshi Hayashi, Raman Enhanced Structure with Reconfigured Molecularly-Imprinted-Polymer for Gas Deteciton, IEEE SENSORS 2016, 2016.10.
77. Liang Shang, Chuanjun Liu, Kenshi Hayashi, Molecularly Imprinted SOl-gel Based on Lspr Sensor for Fatty Acid Vapor Detection, The 16th International Meeting on Chemical Sensors (IMCS2016), 2016.07.
78. Liang Shang, Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi, Artificial odor cluster map of odorant molecular parameters and odor maps in rat olfactory bulbs, 17th International Symposium on Olfaction and Taste (ISOT2016), 2016.06.
79. Satoshi Araki, Masashi Watanabe, Fumihiro Sassa, Kenshi Hayashi, AuNPs-MIP composite SERS substrate for selective gas sensing, Asia-Pacific Conference of Transducers and Micro-Nano Technology 2016(APCOT2016), 2016.06.
80. 荒木 聡, 渡辺 真司, 劉 傳軍, 林 健司, SERS Signal Evaluation of Aggregated AuNPs Using Plasmoic Resonance Spectra, 2015年(平成27年度)応用物理学会九州支部学術講演会, 2015.12.
81. Haoyu Wang, Seiichi Yamashita, Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Visualization of Plant Odor with Molecular Imprinted Polymer using Fluorescent Nano Beads, Bio4Apps2015, 2015.12.
82. Hirotaka Yoshioka, Yuto Ogata, Chuanjun Liu, Kenshi Hayashi, Multispectral Fluorescence Imaging for Odor Source Visualization, Bio4Apps2015, 2015.12.
83. Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Odor Source Shape Visualization by Multispectral Fluorescence Sensing, IEEE SENSORS 2015, 2015.11.
84. Tomoki Koga, Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Gas Visualization Based on Localized Surface Plasmon Resonance of Gold Nanoparticle Films, IEEE SENSORS 2015, 2015.11.
85. Masashi Watanabe, Satoshi Araki, Kenshi Hayashi, Directed Growth of Metal Nanoparticles on Substrates by Polarized Light Irradiation, IEEE SENSORS 2015, 2015.11.
86. Tomoki Koga, Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Gas flow visualization using localized surface plasmon resonance of gold nanoparticle, ACCS 2015, 2015.11.
87. Seiichi Yamashita, Chuanjun Liu, Kenshi Hayashi, Investigation of control gas adsorption properties of piezoelectrical polymer blends, ACCS 2015, 2015.11.
88. Kenshi Hayashi, Visualization of Odor Space, IFFM2015, 2015.06.
89. Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Odor source visualization using multiple fluorescent probe, IFFM2015, 2015.06.
90. Masashi Watanabe, Satoshi Araki, Kenshi Hayashi, Anisotropic Growth of Metal Nanoparticles on Substrate Using Linearly Polarized Light, IFFM2015, 2015.06.
91. Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Region segmentation on odor source using multispectral fluorescence imaging, ISOEN2015, 2015.06.
92. Seiichi Yamashita, Kazuya Iwata, Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Odor Visualization using Fluorescence-dyed Molecularly-Imprinted-Polymer Micro-powder, ISOEN2015, 2015.06.
93. Kenshi Hayashi, Interaction between taste and odor sensation, 第48回 知覚コロキウム 国際五感シンポジウム, 2015.03.
94. Hiro-Taka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Odor visualization: Smell by eyes, 第48回 知覚コロキウム 国際五感シンポジウム, 2015.03.
95. Fajar Hardoyono, Bambang Heru Iswanto, Kuwat Triyana, Chuanjun Liu, Kenshi Hayashi, Discrimination of Indonesian herbal medicines by using electronic nose based on array of metal oxide semiconductor gas sensors, chemometrics and gc/ms analysis, 第48回 知覚コロキウム 国際五感シンポジウム, 2015.03.
96. Hirotaka Yoshioka, Chuanjun Liu, Kenshi Hayashi, Odor visualization by multispectral fluorescence imaging and odor feature value analysis, Second World Congress on Digital Olfaction Society (DOS2014), 2014.12.
97. Chuanjun Liu, Kenshi Hayashi, Development of molecular recognition materials for bioinspired odor cluster sensing, Second World Congress on Digital Olfaction Society (DOS2014), 2014.12.
98. Chuanjun Liu, Kenshi Hayashi, Masashi Watanabe, Ryohei Yokoyama, Ayana Oiwa, Functionlized AuNPs by Dye Materials for Chemical Sensor Application, IEEE Sensors, 2014.11.
99. Sunil Kumar Jha, Chuanjun Liu, Kenshi Hayashi, Detection of Volatile Fatty Acids by Using MIP Coated QCM Sensor Array, IUMRS-ICA2014, 2014.08.
100. Chuanjun Liu, Kenshi Hayashi, Odor Imaging Sensors: Research and Applicatoin, IUMRS-ICA2014, 2014.08.
101. Koji Nakano, Shingo Hirata, Toshihiko Imato, Kenshi Hayashi, Self-Assembly of Vanilloid-Binging Domain in Transient Receptor Potential Cation Channels based on His-Tag Chemistry at Gold Surfaces and Guest-Molecule Responses, IUMRS-ICA2014, 2014.08.
102. You Chiyomaru, Chuanjun Liu, Kenshi Hayashi, Functionalization of Adsorbents for Odor Cluster Measurement, IUMRS-ICA2014, 2014.08.
103. Kazuya Iwata, Chuanjun Liu, Kenshi Hayashi, Odor Visualization Based on Functionalized Fluorescent Probes, IUMRS-ICA2014, 2014.08.
104. Bin Chen, Chuanjun Liu, Kenshi Hayashi, LSPR Sensor based on Periodic AuNP Arrays for Ethaol Gas Detection, Collaborative Conference on Materials Research 2014, 2014.06.
105. Ayana Oiwa, Masashi Watanabe, Bin Chen, Chuanjun Liu, Kenshi Hayashi, AuNPs Chemiresistor Sensor for Gas Sensing, Collaborative Conference on Materials Research 2014, 2014.06.
106. Hirotaka Yoshioka, Ryohei Yokoyama, Chuanjun Liu, Kenshi Hayashi, Odor Discrimination by Fluorescence spectroscopic imaging, The 7th Asia-Pacific Conference on Transducers and Micro/Nano Technologies(APCOT 2014), 2014.06.
107. Sunil Kumar Jha, Chuanjun Liu, Kenshi Hayashi, MOLECULAR IMPRINTED POLYACRYLIC ACIDS COATED QCM SENSOR ARRAY FOR RECOGNITION OF ORGANIC ACID ODORS, The 7th Asia-Pacific Conference on Transducers and Micro/Nano Technologies(APCOT 2014), 2014.06.
108. Jha Sunil Kumar, Masahiro Imahashi, Kenshi Hayashi, Tadashi Takamizawa, Data Fusion Approach for Human Body Odor Discrimination Using GC-MS Spectra, IEEE ISSNIP 2014, 2014.04.
109. Jha Sunil Kumar, Kenshi Hayashi, Optimized KPCA Method for Chemical Vapor Class Recognition by SAW Sensor Array Response Analysis, IEEE ISSNIP 2014, 2014.04.
110. Jha Sunil Kumar, Kenshi Hayashi, Regression Approch for Concentration Estimation of Volatile Chemical Compounds by E-nose Response Analysis, ICE-ICEE 2014, 2014.01.
111. Masahiro Imahashi, You Chiyomaru, Kenshi Hayashi, Ultrathin Reconfigurable Molecular Filter for Gas-Selective Sensing, IEEE SENSORS 2013, 2013.11.
112. Bin Chen, Chuanjun Liu, Xiao Sun, Kenshi Hayashi, Molecularly Imprinted Polymer Coated Au Nanoparticle Sensor for α-pinene Vapor Detection, IEEE SENSORS 2013, 2013.11.
113. Masami Mokume, Bin Chen, Chuanjun Liu, Kenshi Hayashi, Plasmon coupling of organic conductive polymer and gold nanoparticles composite for gas sensing, ACCS 2013, 2013.11.
114. Ryohei Yokoyama, Hirotaka Yoshioka, Kazuya Iwata, Chuanjun Liu, Kenshi Hayashi, Highly sensitive odor visualization by fluorescent dye complex, ACCS 2013, 2013.11.
115. Functionalization of Odor Measurement System by Using Molecular Imprinted Filtering Adsorbents.
116. Chuanjun Liu, Kenshi Hayashi, A Gold Nanoparticle/Polyaniline Nanofiber Sensor for Detecting Hydrpgen Sulfide Impurity in Hydrogen Fuel, SSDM2013, 2013.09.
117. Visual sensing of odor information by olfactory bio-model.
118. High sensitivity visualization of odor by fluorescent dye complex.
119. Conductive polymer/AuNPs composite for gas sensing.
120. S.K.Jha, T.Takamizawa, M.Imahashi, Kenshi Hayashi, Human Body Odor Differentiation Using GC-MS Combined with Chemometric Analysis, 15th International Symposium on Olfaction and Electronic Nose, 2013.07.
121. X.Sun, K.Nakano, M.Imahashi, B.Chen, Chuanjun Liu, Kenshi Hayashi, Development of A Sensing Film for Odor Clustering, 15th International Symposium on Olfaction and Electronic Nose, 2013.07.
122. M.Imahashi, K.Nakano, Kenshi Hayashi, Odor Clustering system-embedded adsorbents covered by reconfigurable molecular filter, 15th International Symposium on Olfaction and Electronic Nose, 2013.07.
123. M.Watanabe, Kenshi Hayashi, Nanostructure composed of nanogap electrodes and gold nanoparticles and its application for gas sensors, 15th International Symposium on Olfaction and Electronic Nose, 2013.07.
124. Bin Chen, Xiao Sun, Chuanjun Liu, Kenshi Hayashi, Multi-structured Au Nanoparticle LSPR Sensors, The 6th International Conference on Surface Plasmon Photonics, 2013.05.
125. Masashi Watanabe, Masahiro Imahashi, Kenshi Hayashi, Fabrication of AuNPs-Bridged Nanogap Electrodes for Chemosensitive Sensors, CEEE2013, 2013.04.
126. Sunil K.Jha, Kenshi Hayashi, SAW Sensor Array Data Fusion for Chemical Class Recognition of Volatile Organic Compounds, CEEE2013, 2013.04.
127. Kenshi Hayashi, Odor visualization; odor image sensor and evaluation, 1st International Symposium on Chemical & Biological Detection(ISCBD-1), 2012.11.
128. Bin Chen, Chuanjun Liu, Kenshi Hayashi, Layer-by-layer Structured AuNPs Sensors for Terpene Vapors Detection, IEEE SENSORS 2012, 2012.10.
129. Masahiro Imahashi, Koichi Nakano, Kenshi Hayashi, Oder Sensor System Using Molecular Imprinting Filter, IEEE SENSORS 2012, 2012.10.
130. Yudai Furusawa, Masahiro Imahashi, Shingo Hirata, Seiichi Uchida, Koji Nakano, Kenshi Hayashi, FLUORESCENCE SENSING FILM FOR ODOR IMAGING, APCOT2012, 2012.07.
131. Masahiro Imahashi, Koichi Nakano, Tadashi Takamizawa, Kenshi Hayashi, Artificial odor map based on molecular parameters using the odor separating-measurement system, The 16th International Symposium on Olfaction and Taste, 2012.06.
132. Masahiro Imahashi, Koichi Nakano, Kenshi Hayashi, Artificial Odor Map and Cluster Sensing by MIP Adsorbents, IMCS2012, 2012.05.
133. Bin Chen, Chuanjun Liu, Manami Ota, Au Nanoparticle Plasmon Sensor for Terpene Detection, IMCS2012, 2012.05.
134. Odor Code Measurement Based on Clustering of Odorants.
135. Gas sensing using organic thin film transistor.
136. Visual Odor Sensing Using Fluorescence Dyes.
137. Quantification of Umami Taste using Lipid Membranes.
138. Chuanjun Liu, Ryohei Yokoyama, Seiichi Uchida, Koji Nakano, Kenshi Hayashi, Odor Spatial Distribution Visualized by a Fluorescent Imaging Sensor, IEEE SENSORS 2013.