AI
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Finding Human Thermal Comfort with a Watch-type Sweat Rate Sensor
(from left: Professor Young-Ho Cho and Researcher SungHyun Yoon)
KAIST developed a watch-type sweat rate sensor. This subminiature device can detect human thermal comfort accurately and steadily by measuring an individual’s sweat rate.
It is natural to sweat more in the summer and less in the winter; however, an individual’s sweat rate may vary in a given environment. Therefore, sweat can be an excellent proxy for sensing core body temperature.
Conventional sweat rate sensors using natural ventilation require bulky external devices, such as pumps and ice condensers. They are usually for physiological experiments, hence they need a manual ventilation process or high power, bulky thermos-pneumatic actuators to lift sweat rate detection chambers above skin for continuous measurement. There is also a small sweat rate sensor, but it needs a long recovery period.
To overcome these problems, Professor Young-Ho Cho and his team from the Department of Bio and Brain Engineering developed a lightweight, watch-type sweat sensor. The team integrated miniaturized thermos-pneumatic actuators for automatic natural ventilation, which allows sweat to be measured continuously.
This watch-type sensor measures sweat rate with the humidity rising rate when the chamber is closed during skin contact. Since the team integrated thermos-pneumatic actuators, the chamber no longer needs to be separated manually from skin after each measurement in order for the chamber to ventilate the collected humidity.
Moreover, this sensor is wind-resistant enough to be used for portable and wearable devices. The team identified that the sensor operates steadily with air velocity ranging up to 1.5m/s, equivalent to the average human walking speed.
Although this subminiature sensor (35mm x 25mm) only weighs 30 grams, it operates continuously for more than four hours using the conventional wrist watch batteries.
The team plans to utilize this technology for developing a new concept of cognitive air-conditioning systems recognizing Human thermal status directly; while the conventional air-conditioning systems measuring air temperature and humidity.
Professor Cho said, “Our sensor for human thermal comfort monitoring can be applied to customized or smart air conditioners. Furthermore, there will be more demands for both physical and mental healthcare, hence this technology will serve as a new platform for personalized emotional communion between humans and devices.”
This research, led by researchers Jai Kyoung Sim and SungHyun Yoon, was published in Scientific Reports on January 19, 2018.
Figure1. The fabricated watch-type sweat rate sensor for human thermal comfort monitoring
Figure 2. Views of the watch-type sweat rate sensor
Figure 3. Operation of the watch-type sweat rate sensor
2018.02.08 View 8489 -
Technology to Find Optimum Drug Target for Cancer Developed
(Professor Kwang-Hyun Cho (right) and lead author Dr. Minsoo Choi)
A KAIST research team led by Professor Kwang-Hyun Cho of the Department of Bio and Brain Engineering developed technology to find the optimum drug target according to the type of cancer cell. The team used systems biology to analyze molecular network dynamics that reflect genetic mutations in cancer cells and to predict drug response. The technology could contribute greatly to future anti-cancer drug development.
There are many types of genetic variations found in cancer cells, including gene mutations and copy number variations. These variations differ in cancer cells even within the same type of cancer, and thus the drug response varies cell by cell. Cancer researchers worked towards identifying frequently occurring genetic variations in cancer patients and, in particular, the mutations that can be used as an index for specific drugs. Previous studies focused on identifying a single genetic mutation or creating an analysis of the structural characteristics of a gene network. However, this approach was limited in its inability to explain the biological properties of cancer which are induced by various gene and protein interactions in cancer cells, which result in differences in drug response.
Gene mutations in cancer cells not only affect the function of the affected gene, but also other genes that interact with the mutated gene and proteins. As a consequence, one mutation could lead to changes in the dynamical properties of the molecular network. Therefore, the responses to anti-cancer drugs by cancer cells differ. The current treatment approach that ignores molecular network dynamics and targets a few cancer-related genes is only effective on a fraction of patients, while many other patients exhibit resistance to the drug.
Professor Cho’s team integrated a large-scale computer simulation using super-computing and cellular experiments to analyze changes in molecular network dynamics in cancer cells.
This led to development of technology to find the optimum drug target according to the type of cancer cells by predicting drug response. This technology was applied to the molecular network of known tumor suppressor p53. The team used large-scale cancer cell genomic data available from The Cancer Cell Line Encyclopedia (CCLE) to construct different molecular networks specific to the characteristics of genetic variations.
Perturbation analysis on drug response in each molecular network was used to quantify changes in cancer cells from drug response and similar networks were clustered. Then, computer simulations were used to analyze the synergetic effects in terms of efficacy and combination to predict the level of drug response. Based on the simulation results from various cancer cell lines including lung, breast, bone, skin, kidney, and ovary cancers were used in drug response experiments for compare analysis.
This technique can be applied in any molecular network to identify the optimum drug target for personalized medicine.
The research team suggests that the technology can analyze varying drug response due to the heterogeneity of cancer cells by considering the overall modulatory interactions rather than focusing only on a specific gene or protein. Further, the technology aids the prediction of causes of drug resistance and thus the identification of the optimum drug target to inhibit the resistance. This could be core source technology that can be used in drug repositioning, a process of applying existing drugs to new disease targets.
Professor Cho said, “Genetic variations in cancer cells are the cause of diverse drug response, but a complete analysis had not yet been made.” He continued, “Systems biology allowed the simulation of drug responses by cancer cell molecular networks to identify fundamental principles of drug response and optimum drug targets using a new conceptual approach.”
This research was published in Nature Communications on December 5 and was funded by Ministry of Science and ICT and National Research Foundation of Korea.
(Figure 1. Drug response prediction for each cancer cell type from computer simulation and cellular experiment verification for comparison)
(Figure 2. Drug response prediction based on cancer cell molecular network dynamics and clustering of cancer cells by their molecular networks)
(Figure 3. Identification of drug target for each cancer cell type by cellular molecular network analysis and establishment for personalized medicine strategy for each cancer patient)
2017.12.15 View 7018 -
CBNU Wins the First AI World Cup 2017
KAIST hosted the first AI World Cup 2017. A total of 26 teams, comprised of Korean undergraduates or graduates, participated in AI Soccer, AI Commentator, and AI Reporter competitions.
On the first of December, the final tournament for AI Soccer was held in the KI Building. More than 200 people came to watch the first AI soccer match based on the Deep-Q Network Learning. The games were commentated by two KAIST students who humorously interpreted the games, catching people’s attention.
In AI Soccer, 18 teams participated, and KAIST BML (KAIST), AIM (KAIST), WISRL (KAIST), and AR Lab (Chonbuk National University) made it to the final four. Each team had its own unique style and strategy.
After some fierce contests, the win went to AR Lab, which showed fearless attacks throughout the game. Having no goalkeeper, AR Lab focused on attacking. According to the team, instead of training individual players, they concentrated on training a manager that directed the players, giving them a choice when to attack and defend.
(AR Lab from Chonbuk National University, the winning team of AI Soccer tournament)
Different from humans playing soccer, it was interesting to see how AI robots self-improved their movements while playing the games.
For AI Commentators, judges looked for a team with the most accuracy, forecasting ability, and fluency. Four teams competed, and the Yally team won the title.
For AI Reporters, which required informativeness and reliability, four teams participated, and the prize went to a team, named Deep CMT (KAIST).
Although this year’s games only included domestic universities, KAIST plans to extend participation to university students from around the world in the future, and hopes that the AI World Cup 2017 will become the foundation for launching the next games on an international level.
2017.12.04 View 5316 -
Seoul Climate-Energy Conference Seeks Global Sustainability
(President Shin and Former UN Secretary General at the Seoul Climate Change-Energy Conference)
Global leaders from both the private and public sectors discussed creative ways to seek inclusive green growth and sustainable development at the Seoul Climate-Energy Conference on November 24 in Seoul. The annual conference was co-hosted by KAIST and the Coalition for Our Common Future under the theme “Creating New Momentum for the Paris Agreement and a Sustainable Future.”
More than 100 global leaders participated in the forum including the Director General Frank Rijsbermanof the Global Green Growth Institute and Executive Director Howard Bamsey of the Green Climate Fund. Former UN Secretary-General Ban Ki-Moon, who played a significant role in the signing of the Paris Agreement, was the keynote speaker.
This year’s conference focused on Korea’s low carbon-energy transition and the Fourth Industrial Revolution to be aligned with green growth. At the conference, speakers and participants reviewed the progress of the decisions made by the UN Framework Convention on Climate Change (UNFCCC) COP23 in Bonn, Germany. The conference discussed topics of global collaboration for new climate regimes, green energy infrastructure, the Asia super grid, financing green energy, smart green cities, and new mobility.
President Sung-Chul Shin emphasized global action and greater resilience toward climate change in his opening remarks. He said, “Today’s climate change can be attributed directly to the past three industrial revolutions. As industrialization continues, we must not make future generations pay the cost of this Fourth Industrial Revolution.” He explained that it is increasingly complicated to address climate change and energy issues because even though the use of energy consumption will continue to increase, energy policies are interwoven with global politics.
He stressed three keywords to better address this global problem: innovation, collaboration, and speed. First he emphasized innovation as a priority for future success as it is hard to retain confidence without innovation.
He noted KAIST has made sustainability initiatives in the fields of EEWS (energy, environment, water, sustainability) and green mobility. He also noted the importance of collaboration as industries are moving beyond a single discipline. KAIST is making collaborations in R&D and sustainability sectors, such as Saudi Aramco’s CO2 management center in KAIST. Finally, he explained that the speed of new transformation will be beyond our imagination, and governments should work efficiently to address issues in a fast manner.
Meanwhile, Secretary-General Ban called for global unity in addressing climate change. He strongly emphasized that countries should make agreements not of willingness but of action, and that politicians should realize that this global agenda should be given top priority above domestic politics. He addressed how the world is experiencing the most powerful and destructive effects of climate change which makes active participation in the Paris Agreement increasingly important.
He expressed his concern that the richest and most powerful countries are backing off, emphasizing the role of these countries as both global leaders and top producers of CO2. He also shared his hopes that the OECD will continue to work to fill the absence of the United States, and stressed the importance of acquiring 10 billion USD by 2020 to fund mitigation and adaptation technologies for developing countries’ CO2 emissions.
Click for President Shin's opening remarks
2017.11.29 View 8588 -
Mutant Gene Network in Colon Cancer Identified
The principles of the gene network for colon tumorigenesis have been identified by a KAIST research team. The principles will be used to find the molecular target for effective anti-cancer drugs in the future. Further, this research gained attention for using a systems biology approach, which is an integrated research area of IT and BT.
The KAIST research team led by Professor Kwang-Hyun Cho for the Department of Bio and Brain Engineering succeeded in the identification. Conducted by Dr. Dongkwan Shin and student researchers Jonghoon Lee and Jeong-Ryeol Gong, the research was published in Nature Communications online on November 2.
Human cancer is caused by genetic mutations. The frequency of the mutations differs by the type of cancer; for example, only around 10 mutations are found in leukemia and childhood cancer, but an average of 50 mutations are found in adult solid cancers and even hundreds of mutations are found in cancers due to external factors, such as with lung cancer.
Cancer researchers around the world are working to identify frequently found genetic mutations in patients, and in turn identify important cancer-inducing genes (called ‘driver genes’) to develop targets for anti-cancer drugs. However, gene mutations not only affect their own functions but also affect other genes through interactions. Therefore, there are limitations in current treatments targeting a few cancer-inducing genes without further knowledge on gene networks, hence current drugs are only effective in a few patients and often induce drug resistance.
Professor Cho’s team used large-scale genomic data from cancer patients to construct a mathematical model on the cooperative effects of multiple genetic mutations found in gene interaction networks. The basis of the model construction was The Cancer Genome Atlas (TCGA) presented at the International Cancer Genome Consortium. The team successfully quantified the effects of mutations in gene networks to group colon cancer patients by clinical characteristics.
Further, the critical transition phenomenon that occurs in tumorigenesis was identified using large-scale computer simulation analysis, which was the first hidden gene network principle to be identified. Critical transition is the phenomenon in which the state of matter is suddenly changed through phase transition. It was not possible to identify the presence of transition phenomenon in the past, as it was difficult to track the sequence of gene mutations during tumorigenesis.
The research team used a systems biology-based research method to find that colon cancer tumorigenesis shows a critical transition phenomenon if the known driver gene mutations follow sequentially. Using the developed mathematical model, it can be possible to develop a new anti-cancer targeting drug that most effectively inhibits the effects of many gene mutations found in cancer patients. In particular, not only driver genes, but also other passenger genes affected by the gene mutations, could be evaluated to find the most effective drug targets.
Professor Cho said, “Little was known about the contribution of many gene mutations during tumorigenesis.” He continued, “In this research, a systems biology approach identified the principle of gene networks for the first time to suggest the possibility of anti-cancer drug target identification from a new perspective.”
This research was funded by the Ministry of Science and ICT and the National Research Foundation of Korea.
Figure1. Formation of giant clusters via mutation propagation
Figure2. Critical transition phenomenon by cooperative effect of mutations in tumorigenesis
2017.11.10 View 8044 -
Discovery of an Optimal Drug Combination: Overcoming Resistance to Targeted Drugs for Liver Cancer
A KAIST research team presented a novel method for improving medication treatment for liver cancer using Systems Biology, combining research from information technology and the life sciences. Professor Kwang-Hyun Cho in the Department of Bio and Brain Engineering at KAIST conducted the research in collaboration with Professor Jung-Hwan Yoon in the Department of Internal Medicine at Seoul National University Hospital. This research was published in Hepatology in September 2017 (available online from August 24, 2017).
Liver cancer is the fifth and seventh most common cancer found in men and women throughout the world, which places it second in the cause of cancer deaths. In particular, Korea has 28.4 deaths from liver cancer per 100,000 persons, the highest death rate among OECD countries and twice that of Japan.
Each year in Korea, 16,000 people get liver cancer on average, yet the five-year survival rate stands below 12%. According to the National Cancer Information Center, lung cancer (17,399) took the highest portion of cancer-related deaths, followed by liver cancer (11,311) based on last year data.
Liver cancer is known to carry the highest social cost in comparison to other cancers and it causes the highest fatality in earlier age groups (40s-50s). In that sense, it is necessary to develop a new treatment that mitigates side effects yet elevates the survival rate.
There are ways in which liver cancer can be cured, such as surgery, embolization, and medication treatments; however, the options become limited for curing progressive cancer, a stage in which surgical methods cannot be executed.
Among anticancer medications, Sorafenib, a drug known for enhancing the survival rate of cancer patients, is a unique drug allowed for use as a targeted anticancer medication for progressive liver cancer patients. Its sales reached more than ten billion KRW annually in Korea, but its efficacy works on only about 20% of the treated patients. Also, acquired resistance to Sorafenib is emerging. Additionally, the action mechanism and resistance mechanism of Sorafenib is only vaguely identified.Although Sorafenib only extends the survival rate of terminal cancer patients less than three months on average, it is widely being used because drugs developed by global pharmaceutical companies failed to outperform its effectiveness.
Professor Cho’s research team analyzed the expression changes of genes in cell lines in response to Sorafenib in order to identify the effect and the resistance mechanism of Sorafenib.
As a result, the team discovered the resistance mechanism of Sorafenib using Systems Biology analysis. By combining computer simulations and biological experiments, it was revealed that protein disulfide isomerase (PDI) plays a crucial role in the resistance mechanism of Sorafenib and that its efficacy can be improved significantly by blocking PDI.
The research team used mice in the experiment and discovered the synergic effect of PDI inhibition with Sorafenib for reducing liver cancer cells, known as hepatocellular carcinoma. Also, more PDIs are shown in tissue from patients who possess a resistance to Sorafenib. From these findings, the team could identify the possibility of its clinical applications. The team also confirmed these findings from clinical data through a retrospective cohort study.
“Molecules that play an important role in cell lines are mostly put under complex regulation. For this reason, the existing biological research has a fundamental limitations for discovering its underlying principles,” Professor Cho said. “This research is a representative case of overcoming this limitation of traditional life science research by using a Systems Biology approach, combining IT and life science. It suggests the possibility of developing a new method that overcomes drug resistance with a network analysis of the targeted drug action mechanism of cancer.”
The research was supported by the National Research Foundation of Korea (NRF) and funded by the Ministry of Science and ICT.
(Figure 1. Simulation results from cellular experiments using hepatocellular carcinoma)
(Figure 2. Network analysis and computer simulation by using the endoplasmic reticulum (ER) stress network)
(Figure 3. ER stress network model)
2017.08.30 View 11721 -
Cooperative Tumor Cell Membrane-Targeted Phototherapy
A KAIST research team led by Professor Ji-Ho Park in the Bio and Brain Engineering Department at KAIST developed a technology for the effective treatment of cancer by delivering synthetic receptors throughout tumor tissue. The study, led by Ph.D. candidate Heegon Kim, was published online in Nature Communications on June 19.
Cancer targeted therapy generally refers to therapy targeting specific molecules that are involved in the growth and generation of cancer. The targeted delivery of therapeutics using targeting agents such as antibodies or nanomaterials has improved the precision and safety of cancer therapy.
However, the paucity and heterogeneity of identified molecular targets within tumors have resulted in poor and uneven distribution of targeted agents, thus compromising treatment outcomes.
To solve this problem, the team constructed a cooperative targeting system in which synthetic and biological nanocomponents participate together in the tumor cell membrane-selective localization of synthetic receptors to amplify the subsequent targeting of therapeutics. Here, synthetic and biological nanocomponents refer to liposomes and extracellular vesicles, respectively.
The synthetic receptors are first delivered selectively to tumor cell membranes in the perivascular region using liposomes. By hitchhiking with extracellular vesicles secreted by the cells, the synthetic receptors are transferred to neighboring cells and further spread throughout the tumor tissues where the molecular targets are limited.
Hitchhiking extracellular vesicles for delivery of synthetic receptors was possible since extracellular vesicles, such as exosomes, mediate intercellular communications by transferring various biological components such as lipids, cytosolic proteins, and RNA through a membrane fusion process. They also play a supportive role in promoting tumor progression in that tumor-derived extracellular vesicles deliver oncogenic signals to normal host cells.
The team showed that this tumor cell membrane-targeted delivery of synthetic receptors led to a uniform distribution of synthetic receptors throughout a tumor and subsequently led to enhanced phototherapeutic efficacy of the targeted photosensitizer.
Professor Park said, “The cooperative tumor targeting system is expected to be applied in treating various diseases that are hard to target.”
The research was funded by the Basic Science Research Program through the National Research Foundation funded by the Ministry of Science, ICT & Future Planning, and the National R&D Program for Cancer Control funded by the Ministry for Health and Welfare.
(Ph.D. candidates Hee Gon Kim (left) and Chanhee Oh)
Figure 1. A schematic of a cooperative tumor targeting system via delivery of synthetic receptors.
Figure 2. A confocal microscopic image of a tumor section after cooperative targeting by synthetic receptor delivery. Green and magenta represent vessels and therapeutic agents inside a tumor respectively.
2017.07.07 View 10781 -
The 2017 International Food Festival
The savory smell of exotic dishes filled the main plaza of the KAIST campus on May 26. Exotic music reverberated throughout the campus. The KAIST community took a break together on a breezy early summer Friday afternoon sharing food with their friends and family. KAIST international student body, KISA (KAIST International Students Association), installed white food tents and prepared their country’s favorite dishes at their 13th annual International Food Festival.
The festival was co-organized with Chungnam National University and the University of Science & Technology (UST). At the festival, students from 18 nations cooked about 60 dishes and sold them to the public. Foreign students’ performances of traditional dance and music on the stage livened the atmosphere.
KISA President Sanzhar Kerimbek of the Department of Chemical and Biomolecular Engineering said, “We are so glad to show the diversity of KAIST and its rich culture. This is a big opportunity to get together with neighboring universities, CNU and UST and say thank you for their participation and support." Valentin Porcellini, an exchange students from France in the School of Computing, said, “We are so excited to have people taste our crepes, ratatouille, and other dishes.”
Associate Vice President of the International Office Jay Hyung Lee also said he was glad to see so many people joining this festival. While congratulating the students on the success of the festival, he said the festival will serve as an opportunity to better understand each other by sharing the food and culture.
(Photo caption: Paricipants stop by the Indonesian booth to purchase the food at the International Food Festival on May 26.)
2017.05.29 View 5810 -
Gout Diagnostic Strip Using a Single Teardrop
A novel diagnostic strip for gout patients using a single teardrop has been announced by KAIST research team. This technology analyzes biological molecules in tears for a non-invasive diagnosis, significantly reducing the time and expense previously required for a diagnosis.
The research team under Professor Ki-Hun Jeong of the Department of Bio and Brain Engineering succeeded in developing an affordable and elaborate gout diagnostic strip by depositing metal nanoparticles on paper. This technology can not only be used in diagnostic medicine and drug testing, but also in various other areas such as field diagnoses that require prompt and accurate detection of a certain substance.
Gout induces pain in joints due to needle-shaped uric acid crystal build up. In general, therapeutic treatments exist to administer pain relief, stimulate uric acid discharge, and uric acid depressant. Such treatments work for temporary relief, but there have significant limitations. Thus, patients are required to regularly check uric acid concentrations, as well as control their diets. Therefore, simpler ways to measure uric acid would greatly benefit gout control and its prevention in a more affordable and convenient manner.
Existing gout diagnostic techniques include measuring uric acid concentrations from blood samples or observing uric acid crystals from joint synovial fluid under a microscope. These existing methods are invasive and time consuming. To overcome their limitations, the research team uniformly deposited gold nanoislands with nanoplasnomics properties on the surface of paper that can easily collect tears.
Nanoplasnomics techniques collect light on the surface of a metal nanostructure, and can be applied to disease and health diagnostic indicators as well as for genetic material detection. Further, metals such as gold absorb stronger light when it is irradiated, and thus can maximize light concentration on board surfaces while maintaining the properties of paper. The developed metal nanostructure production technology allows the flexible manufacturing of nanostructures on a large surface, which in turn allows flexible control of light concentrations.
The research team grafted surface-enhanced Raman spectroscopy on paper diagnostic strips to allow uric acid concentration measurements in teardrops without additional indicators. The measured concentration in teardrops can be compared to blood uric acid concentrations for diagnosing gout.
Professor Jeong explained, “Based on these research results, our strip will make it possible to conduct low-cost, no indicator, supersensitive biological molecule analysis and fast field diagnosis using tears.” He continued, “Tears, as well as various other bodily fluids, can be used to contribute to disease diagnosis and physiological functional research.”
Ph.D. candidate Moonseong Park participated in the research as the first author of the paper that was published in the online edition of ACS Nano on December 14, 2016. Park said, “The strip will allow fast and simple field diagnosis, and can be produced on a large scale using the existing semiconductor process.”
(Figure 1. Optical image of paper gout diagnostic strip covered with gold)
(Figure 2. Scanning delectron microscopic image of paper gout diagnostic strip)
(Figure 3. Scanning electron microscope image of cellulos fiber coated with gold nanoislands)
(Figure 4. Gout diagnosis using tears)
2017.04.27 View 8833 -
Highly-Efficient Photoelectrochemical CO2 Reduction
Direct CO2 conversion has continuously attracted a great deal of attention as a technology to produce fuels and chemical building blocks from renewable energy resources. Specifically, substances such as carbon feedstocks and fuels can be produced by utilizing sunlight, water, and CO2 as semiconductors and a water interface through photoelectrochemical CO2 reduction.
A KAIST research team demonstrated a novel photoelectrode structure for highly-selective and efficient photoelectrochemical CO2 reduction reactions. The research team led by Professor Jihun Oh of the Graduate School of EEWS (Energy, Environment, Water and Sustainability) presented a Si photoelectrode with a nanoporous Au thin film that is capable of reducing CO2 to CO with 90 percent selectivity in aqueous solution. The research team’s technology will provide a basic framework for designing the semiconductor photoelectrode structure necessary for photoelectrochemical conversion.
In order to achieve steady conversion of CO2, it is necessary to use a high-performance catalyst to lower overpotential. Among the metal catalysts, Au is known to be an electrocatalyst that converts CO2 to CO.
Conventionally, bare Au, as a catalyst, produces a lot of hydrogen gas due to its low CO selectivity. In addition, the high cost of Au remains a challenge in using the catalyst. Professor Oh’s research team addressed the issue by creating a nanoporous Au thin film formed by the electrochemical reduction of an anodized Au thin film.
As a result, the team could demonstrate an efficient, selective photoelectrochemical reduction reaction of CO2 to CO using electrochemically-treated Au thin films on a Si photoelectrode. The electrochemical reduction on anodized Au thin films forms a nanoporous thin layer exhibiting many grain boundaries of nanoparticles on the Au surface. This dramatically improves the selectivity of the reduction reaction with a maximum CO faradaic efficiency of over 90% at low overpotential and durability.
The research team also used an Au thin film of about 200 nanometers, 50,000 times thinner than previously reported nanostructured Au catalysts, resulting in a cost-effective catalyst. When depositing the catalyst on the semiconductor surface in the type of nanoparticles, the substrate of the thin film will be affected in the course of electrochemical reduction.
Thus, the research team designed a new Si photoelectrode with mesh-type co-catalysts that are independently wired at the front and back of the photoelectrode without influencing the photoelectrode, and made it possible for electrochemical reduction.
Due to the superior CO2 reduction reaction activity of the nanoporous Au mesh and high photovoltage from Si, the Si photoelectrode with the nanoporous Au thin film mesh shows conversion of CO2 to CO with 91% Faradaic efficiency at positive potential than CO equilibrium potential.
Professor Oh explained, “This technology will serve as a platform for diverse semiconductors and catalysts. Researchers can further improve the solar-to-CO2 conversion efficiency using this technology.
Dr. Jun Tae Song, the first author continued, “This new approach made it possible to develop a simple but very important type of electrode structure. It is the first time to achieve CO2 conversion at the potential lower than equilibrium potential. We believe that our research will contribute to efficient CO2 conversion.”
This research was published in the inside front cover of Advanced Energy Materials on February 8, 2017. The research was funded and supported by the Korea Carbon Capture & Sequestration R&D Center. Professor Sung-Yoon Chung of the EEWS also participated in this research.
(Figure: Schematic diagram of a Si photoelectrode that patterns with mesh-type nanoporous Au)
2017.03.08 View 9827 -
Adsorbent That Can Selectively Remove Water Contaminants
Professor Cafer T. Yavuz and his team at the Graduate School of Energy, Environment, Water, and Sustainability (EEWS) have developed an adsorbent that can selectively capture soluble organic contaminants in water.
This water treatment adsorbent is a fluorine-based nanoporous polymer that can selectively remove water-soluble micromolecules. It has the added advantage of being cheap and easily synthesized, while also being renewable.
The results of this research have been published online in Nature Communication on November 10, 2016. The research paper is titled “Charge-specific Size-dependent Separation of Water-soluble Organic Molecules by Fluorinated Nanoporous Networks.” (DOI: 10.1038/ncomms13377)
Water pollution is accelerating as a result of global industrial development and warming. As new materials are produced and applied in the agricultural and industrial sectors, the types of contaminants expelled as sewage and waste water are also becoming diverse.
Chemicals such as dyes and pesticides can be especially harmful because they are made up of small and highly soluble organic particles that cannot be completely removed during the water treatment process, ultimately ending up in our drinking water.
The current conventional water treatment systems utilize processes such as activated carbon, ozonolysis, and reverse osmosis membrane. These processes, however, are designed to remove larger organic molecules with lower solubility, thus removal of very small molecules with high solubility is difficult. In addition, these micromolecules tend to be charged, therefore are less easily separated in aqueous form.
The research team aimed to remove these small molecules using a new adsorbent technology.
In order to remove aqueous organic molecular contaminants, the team needed an adsorbent that can adsorb micro-sized molecules. It also needed to introduce a chemical function that would allow it to selectively adsorb molecules, and lastly, the adsorbent needed to be structurally stable as it would be used underwater.
The team subsequently developed an adsorbent of fluorine-based porous organic polymer that met all the conditions listed above. By controlling the size of the pores, this adsorbent is able to selectively adsorb aqueous micromolecules of less than 1-2 nm in size.
In addition, in order to separate specific contaminants, there should be a chemical functionality, such as the ability to strongly interact with the target material. Fluorine, the most electronegative atom, interacts strongly with charged soluble organic molecules.
The research team incorporated fluorine into an adsorbent, enabling it to separate charged organic molecules up to 8 times faster than neutral molecules.
The adsorbent developed by Professor Yavuz’s team has wide industrial applications. It can be used in batch-adsorption tests, as well as in column separation for size- and charge-specific adsorption.
Professor Yavuz stated that “the charge-selective properties displayed by fluorine has the potential to be applied in desalination or water treatment processes using membranes."
This paper was first-authored by Dr. Jeehye Byun, and the research was funded by KAIST’s High Risk High Return Program and the Ministry of Science, ICT and Future Planning of Korea’s Mid-Career Researcher Program, as well as its Technology Development Program to Solve Climate Change.
Figure 1. Diagram conceptualizing the process of charge- and size-specific separation by the fluorine-based porous polymer adsorbent
Figure 2. Difference in absorbance before and after using a porous fluorine polymer column to separate organic molecules
Figure 3. Adsorption properties of a fluorine polymer according to the charge and size of organic molecules
2017.01.17 View 10238 -
KAIST Alumni of the Year
(From left Chul-Hwan Kim, president and CEO of Orange Power, Hooshik Kim, president & CEO of Vieworks, Chilhee Chung, presient of Samsung Advanced Institute of Technology, KAIST President Sung-Mo Kang, KAIST Alumni Association President Jung-Sik Ko, Won-Pil Baek, senior vice president for R&D program at Korea Atomic Energy Research Insitute, Hyonho Jung, CEO of Medytox, Jaehwa Kim on behalf of Han-Oh Park, president & CEO of Bioneer Corporation)
The KAIST Alumni Association presented the Alumni of the Year award to six of its most accomplished alumni at the New Year dinner held at the Lotte Hotel in Seoul on January 14.
KAIST alumni community, which numbers over 500,000, has made a significant impact around the globe in science and technology, industry, education, and the public sector. Each year, the KAIST Alumni Association honors individuals who have made a significant contribution with outstanding leadership through the Alumni of the Year awards.
KAIST Alumni Association President Jung-Sik Ko awarded the recipients at the dinner. About 200 alumni, faculty, and students, including KAIST President Sung-Mo Kang, joined the celebration.
The 2016 awardees are Dr. Chilhee Chung, president of Samsung Advanced Institute of Technology(SAIT); Dr.Won-Pil Baek, senior vice president for R&D program at Korea Atomic Energy Research Institute(KAERI); Dr.Han-Oh Park, president & CEO of Bioneer Corporation; Dr.Hyonho Jung, CEO of Medytox; Hooshik Kim, president & CEO of Vieworks; and Dr.Chul-Hwan Kim, president & CEO of Orange Power.
Dr. Chung of SAIT (MS in physics ’79) played a leading role in developing top-notch system semiconductors and memory device technology while serving as president of the Samsung Electronic Semiconductor R&D Center. He has focused on the development of cutting-edge future technology, the Quantum Dot, by incorporating eco-friendly materials with the highest efficiency and color purity which is cadmium-free.
Working at KAERI since 2001, Dr. Baek (Ph.D. in nuclear and quantum engineering ’87) has made contributions to help Korea emerge as a nuclear technology powerhouse. He played a critical role in developing and facilitating a global nuclear safety verification facility dubbed ‘ATLAS.’ Such nuclear technological prowess led the Korean government to advance into the foreign markets, such as exporting nuclear power plants to United Arab Emirates.
The CEO of Bioneer, Dr. Park (Ph.D. in chemistry ’87) started a bio-venture in Korea. His company has developed hundreds of reagents, diagnostic kits, and advanced equipment for gene research over two decades. Bioneer has paved the way for establishing a world-class level of infrastructure in genomic technology. By developing the innovative technology "SAMiRNA ™ (Self-Assembled-Micelle-inhibitory-RNA)" that overcomes the problems in drug development, Bioneer presented a new solution for the treatment of incurable diseases. In collaboration with global pharmaceutical companies and research groups, Dr. Park has successfully led joint development in the licensing of new therapeutic medicine candidates for various incurable diseases.
Dr. Jung (Ph.D. in biological sciences ’88) founded the bio-pharmaceutical company Medytox in 2000. Medytox is the first company in Korea that commercialized botulinum toxin formulation. Medytox developed the non-animal liquid botulinum toxin formulation for the first time in the world. It successfully localized botulinum preparation that can treat various neurological diseases. Medytox’s new toxin formulation resulted in improving public health care as well as relieving the heavy dependence on importing bio-pharmaceutical products.
As the CEO of Vieworks, Kim (MS in physics ’95) succeeded in commercializing of digital X-ray. Especially, it is leading the design of optical and image systems that affect the quality of digital X-ray image. Kim’s company established related technology base, contributing to human health promotion and national industrial development.
President Kim of Orange Power (Ph.D. in chemical and biomolecular engineering ’93) is also the founder of the KITE Entrepreneurship Foundation. He launched Biogenix Co., Ltd. and Image and Materials Co. in 2005. In order to nurture an entrepreneurship and start-ups eco-system, he invested 10 billion KRW from the proceeds of the sale of one of his start-ups. In addition, he started Orange Power Co., Ltd. in 2012 to solve the secondary battery heat problem and established a global partnership with Hydro Quebec in Canada, Nexion in UK, Volkswagen of Germany, and Tesla of the US.
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