This news release is intended for media purposes, and is current of the date of publication. Information is subject to change without notice.
"MSS Forum" Launched to Promote the Establishment of a De Facto Standard for Olfactory IoT Sensing Systems
―Putting the “Standard Scent and Odor Measurement Tool” into Practice―
National Institute for Materials Science (NIMS)
Kyocera Corporation (Kyocera)
NEC Corporation (NEC)
Sumitomo Seika Chemicals Co., Ltd. (Sumitomo Seika)
Asahi Kasei Corporation (Asahi Kasei)
NanoWorld AG (NanoWorld)
Research accomplishments of the MSS Alliance
Since the launch in September 2015, the MSS Alliance has achieved the following significant developments through exclusive collaboration;
|1)||Developed and improved reliable sensor devices.|
|2)||Developed new receptor layer materials that react to various target gases.|
|3)||Developed automatic measurement systems capable of accurately evaluating multiple sensor chips under various conditions.|
|4)||Developed electronic circuits capable of processing signals from the sensor and developed control software.|
|5)||Collected basic data on the responses of various receptor layer materials to various target gases.|
|6)||Developed a machine learning engine capable of accurately differentiating data from the MSS and developed a cloud analysis platform.|
|7)||Based on these achievements, more than 10 experimental projects were conducted demonstrating the MSS being highly sensitive to and capable of discriminating between various types of odors.|
In addition, NanoWorld, a founding member of the MSS Alliance, started selling MSS chips for use in scientific research in April 2016, and the MSS is now used in other fields in advanced research as well.
Since the launch in September 2015, many keen players in various fields have contacted the MSS Alliance seeking first-hand experience in the use of MSS olfactory IoT sensing system. Over the last two years, joint research by the private sector, academia and national research institutes has produced significant results, and the partner companies and organizations invited by the alliance carried out more than 10 demonstration experiment projects. These activities validated the MSS's high degree of sensitivity and ability to discriminate between various types of odors. As the next step, a new system has been organized to enable participations from public to perform demonstration experiments in their own environments.
Name of the new framework: MSS Forum
- With potential candidates from the public, to carry out experiments to demonstrate the performance of the MSS olfactory IoT sensing systems, thereby accelerating to achieve a de facto standard.
Launch date: November 1, 2017
Office location: NIMS (Sengen, Tsukuba City, Japan)
Resources available to participants:*
- Participants can use standard measurement modules for the MSS.
- Participants will be provided with technical instructions and a data collection environment usable locally.
- A cloud artificial intelligence (AI) analysis platform is available for participants to analyze collected data.
- Participants can carry out validation experiments using their own organizations' measurement and analytical resources.
* Please note that participants are required to submit simple reports on their validation experiment results.
|· Announcement of application outlines||mid October, 2017||Information will be available.|
|· First application period begins||November 1, 2017||About 10 organizations will be accepted (after screening*).|
|· Second application period||February 2018 or later||The number of organizations to be accepted is yet to be determined.|
|· Third application period||Yet to be determined|
* We will examine whether participants possess appropriate engineering resources.
For inquiries: email@example.com
Examples of previous demonstration experiments
Example 1) Fruits and vegetables: Prediction of ripening stages by odor
|Since pears' appearance changes only slightly, it is difficult to judge maturity based on the visual observation. Judgment of maturity is currently based on firmness as measured by penetration of a needle (destructive inspection).
This experiment measures changes in firmness and odor of pears over time, with a high degree of correlation being demonstrated.
This shows that maturity can be judged by estimating firmness from measurements of slight odor changes (non-destructive inspection).
Example 2) Beverages: Prediction of alcohol content by odor
|Measurement signals of odors of various alcoholic beverages were combined with the corresponding alcohol content and used as a dataset for machine learning.
The quantitative correlation between odor and alcohol content was extracted by regression analysis. This enables the alcohol content of unknown beverages to be estimated by measuring their odors (test data).
K. Shiba, R. Tamura, G. Imamura, G. Yoshikawa, Scientific Reports 7, 3661 (2017)
The MSS Forum will conduct validation experiments in various fields to identify further issues for commercialization and to deepen and accelerate R&D for solutions to these issues. In addition, it aims to create components/modules and solutions that enable each of the constituent technologies of the MSS olfactory IoT sensing systems to be more easily utilized in product concepts of people in industry and carry out basic technology R&D including the provision of measurement, analysis and databases services.
Through these activities, technological R&D is further accelerated to gain acceptance of the MSS olfactory IoT sensing system ("Standard Scent and Odor Measurement Tool") as a de facto standard tool for measurement of scent and odor, facilitating its implementation for society.
Note: What is an MSS (Membrane-type Surface stress Sensor)?
Developed by NIMS group leader Genki Yoshikawa et al, the MSS is a groundbreaking sensor device that is ultra-compact and sensitive to odors. When molecules adsorb on the receptor layer of the MSS, stress induced in the receptor layer causes electrical resistance change in the detection parts, enabling target molecules to be measured (see the diagrams below). Capable of detecting trace amounts of various substances in the air or liquids with high sensitivity, the MSS has potential for application in a wide range of fields such as medicine, food industry, environmental assessment and safety assurance.
Schematics of the MSS. When the receptor layer coated on the center membrane of the sensor absorbs molecules, induced surface stress is detected by piezoresistors embedded on four narrow beams around the membrane.