New blood-based multiplexed diagnostic sensors can detect Alzheimer's disease by measuring its core biomarkers using densely aligned carbon nanotubes.
New study reported clinically accurate multiplexed electrical biosensor for detecting Alzheimer's disease by measuring its core biomarkers using densely aligned carbon nanotubes. The findings of the study are published in the journal Nature Communications.// Early diagnosis of Alzheimer's disease 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.
‘Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, affecting one in ten people aged over 65 years.
’
The research team led by Professors Chan Beum Park and Steve Park described an ultrasensitive detection of multiple Alzheimer's disease core biomarkers 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 minimize 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 healthy controls with an average sensitivity of 90.0%, a selectivity of 90.0% and an average accuracy of 88.6%.
Advertisement
Professor Steve Park said, "This study was conducted on patients who are already confirmed with Alzheimer's Disease. For further use in a practical setting, it is necessary to test patients with mild cognitive impairment." He also emphasized that
Advertisement
Source-Eurekalert