Chungbuk+National+University
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Blood-Based Multiplexed Diagnostic Sensor Helps to Accurately Detect Alzheimer’s Disease
A research team at KAIST reported clinically accurate multiplexed electrical biosensor for detecting Alzheimer’s disease by measuring its core biomarkers using densely aligned carbon nanotubes.
Alzheimer’s disease is the most prevalent neurodegenerative disorder, affecting one in ten aged over 65 years. Early diagnosis can reduce the risk of suffering the disease by one-third, according to recent reports. However, its early diagnosis remains challenging due to the low accuracy but high cost of diagnosis.
Research team led by Professors Chan Beum Park and Steve Park described an ultrasensitive detection of multiple Alzheimer's disease core biomarker in human plasma. The team have designed the sensor array by employing a densely aligned single-walled carbon nanotube thin films as a transducer.
The representative biomarkers of Alzheimer's disease are beta-amyloid42, beta-amyloid40, total tau protein, phosphorylated tau protein and the concentrations of these biomarkers in human plasma are directly correlated with the pathology of Alzheimer’s disease.
The research team developed a highly sensitive resistive biosensor based on densely aligned carbon nanotubes fabricated by Langmuir-Blodgett method with a low manufacturing cost.
Aligned carbon nanotubes with high density minimizes the tube-to-tube junction resistance compared with randomly distributed carbon nanotubes, which leads to the improvement of sensor sensitivity. To be more specific, this resistive sensor with densely aligned carbon nanotubes exhibits a sensitivity over 100 times higher than that of conventional carbon nanotube-based biosensors.
By measuring the concentrations of four Alzheimer’s disease biomarkers simultaneously Alzheimer patients can be discriminated from health controls with an average sensitivity of 90.0%, a selectivity of 90.0% and an average accuracy of 88.6%.
This work, titled “Clinically accurate diagnosis of Alzheimer’s disease via multiplexed sensing of core biomarkers in human plasma”, were published in Nature Communications on January 8th 2020. The authors include PhD candidate Kayoung Kim and MS candidate Min-Ji Kim.
Professor Steve Park said, “This study was conducted on patients who are already confirmed with Alzheimer’s Disease. For further use in practical setting, it is necessary to test the patients with mild cognitive impairment.” He also emphasized that, “It is essential to establish a nationwide infrastructure, such as mild cognitive impairment cohort study and a dementia cohort study. This would enable the establishment of world-wide research network, and will help various private and public institutions.”
This research was supported by the Ministry of Science and ICT, Human Resource Bank of Chungnam National University Hospital and Chungbuk National University Hospital.
< A schematic diagram of a high-density aligned carbon nanotube-based resistive sensor that distinguishes patients with Alzheimer’s Disease by measuring the concentration of four biomarkers in the blood. >
Profile:
Professor Steve Park
stevepark@kaist.ac.kr
Department of Materials Science and Engineering
http://steveparklab.kaist.ac.kr/
KAIST
Profile:
Professor Chan Beum Park
parkcb at kaist.ac.kr
Department of Materials Science and Engineering
http://biomaterials.kaist.ac.kr/
KAIST
2020.02.07 View 8944 -
Intelligent SoC Robot War 2007 Has Finale
Kyung Hee University’s “Sandi2007” and “Triple K” of Korea University of Technology and Education and Chungbuk National University were victorious in the Tank Robot category and the Taekwon Robot categories of the 6th Robot War Contest hosted by Korea Advanced Institute of Science and Technology (KAIST).
Boldly entitled “07 Intelligent SoC Robot War”, KAIST hosted its 6th Robot War Contest. In this contest, battles between mechanical robots utilizing System on Chip (SoC) technology are fought. The first Robot War contest was held in 2002. Before the actual contest from October 18th to 21st, preliminary assessments and the final selection was administered in August.
The Intelligent SoC Robot War Contest has two sections called Tank Robot and Taekwon Robot. The Tank Robot contest has robots in the form of tanks duel with laser beams through visual recognition, wireless communication, and audio recognition. On the other hand, the Taekwon Robot contest is a hand-to-hand fight. The robots had to be capable of defending, recognizing the opponent, and attacking without external control.
The 15 teams of the Tank Robot section and the 10 teams of the Taekwon Robot section that passed through the preliminary selections participated in the final battles for 3 days starting on October 18th. The Tank Robot category winner “Sandi2007” showed great ability in visual sensing and the Taekwon Robot category winner “Triple K” had effective arm and leg combinations that eventually led the team to victory.
Kyung Hee University’s “Sandi2007” received 2 million Korean Won as the grand prize along with a special recognition from the Prime Minister, while “Triple K” received 1 million Korean Won with a special recognition from the Secretary of the Ministry of Commerce, Industry and Energy (MOCIE).
The Intelligent SoC Robot War contest was part of the 2007 International Robot Contest (IRC 2007) which was organized by the Center for Robot Industry Promotion (CRIP) and held at Convention & Exhibition Center (COEX) Indian Hall. The individual contests included 8 competitions: Grand Challenge, Robotpiad, Humanoid Robot Contest, Robofest, Intelligent SoC Robot War, FIRA Challenge Cup, Robot Festival, and URC Robot Contest.By KAIST Herald on November, 2007
2007.12.21 View 13382