Graphene-Based Biosensor for Early Detection of Iron Deficiency

Area of Science:

• Biomedical Engineering
• Nanotechnology
• Clinical Diagnostics

Background:

• Iron deficiency (ID) is a global nutritional disorder and the primary cause of iron deficiency anemia (IDA).
• IDA can lead to irreversible developmental impairments in children, necessitating early detection and screening.
• Current methods for ID detection can be complex and costly, hindering widespread application.

Purpose of the Study:

• To develop a cost-effective and advanced biosensor for the early detection of iron deficiency.
• To create a sensitive and specific detection method for ferritin, an indicator of iron status.
• To explore non-invasive methods for diagnosing iron deficiency anemia.

Main Methods:

• Fabrication of graphene-based field-effect transistors (GFETs) using a novel home-built patterning procedure.
• Functionalization of GFETs with anti-ferritin antibodies via a linker molecule for specific ferritin antigen conjugation.
• Testing the biosensor's performance for ferritin detection, focusing on sensitivity and detection limits.

Main Results:

• The developed graphene biosensor achieved an unprecedented ferritin detection limit of 10 femtomolar (fM).
• The use of a home-built patterning procedure simplified fabrication and allowed for fast prototyping.
• The biosensor demonstrates significant potential for non-invasive ferritin detection, such as in saliva samples.

Conclusions:

• Graphene-based field-effect transistors functionalized with anti-ferritin antibodies offer a highly sensitive platform for ferritin detection.
• This technology holds promise for the early and non-invasive diagnosis of iron deficiency anemia.
• The simplified fabrication method reduces cost and complexity, paving the way for wider adoption.