Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor

Li, Bing; Tan, Haijie; Jenkins, David; Raghavan, Vikram Srinivasa; Rosa, Bruno Gil; Güder, Firat; Pan, G.; Yeatman, Eric M.; Sharp, David J.

doi:10.1016/j.carbon.2020.06.048

Cited by 34 publications

(12 citation statements)

References 185 publications

(155 reference statements)

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“…As far as we know, this GFET biosensor is the first technology showing ultrahigh sensitivity down to the 2.3 × 10 2 fg/mL (4 fM) level for the detection of GFAP in patient plasma samples, which is much lower than the cutoff value for typical clinical assessment. 6,20,39 The GFAP concentration in patient plasma samples measured by state-of-the-art Simoa, classic ELISA, and GFET platforms are shown in Figure 4E. The GFAP concentrations measured by different methods follow the same trend, i.e., PS2 has the lowest detectable GFAP concentration and PS6 has the highest detected GFAP concentration.…”

Section: ■ Results and Discussionmentioning

confidence: 96%

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Detection of Glial Fibrillary Acidic Protein in Patient Plasma Using On-Chip Graphene Field-Effect Biosensors, in Comparison with ELISA and Single-Molecule Array

Ramadan

Akingbade

et al. 2021

ACS Sens.

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Glial fibrillary acidic protein (GFAP) is a discriminative blood biomarker for many neurological diseases, such as traumatic brain injury. Detection of GFAP in buffer solutions using biosensors has been demonstrated, but accurate quantification of GFAP in patient samples has not been reported, yet in urgent need. Herein, we demonstrate a robust on-chip graphene field-effect transistor (GFET) biosensing method for sensitive and ultrafast detection of GFAP in patient plasma. Patients with moderate–severe traumatic brain injuries, defined by the Mayo classification, are recruited to provide plasma samples. The binding of target GFAP with the specific antibodies that are conjugated on a monolayer GFET device triggers the shift of its Dirac point, and this signal change is correlated with the GFAP concentration in the patient plasma. The limit of detection (LOD) values of 20 fg/mL (400 aM) in buffer solution and 231 fg/mL (4 fM) in patient plasma have been achieved using this approach. In parallel, for the first time, we compare our results to the state-of-the-art single-molecule array (Simoa) technology and the classic enzyme-linked immunosorbent assay (ELISA) for reference. The GFET biosensor shows competitive LOD to Simoa (1.18 pg/mL) and faster sample-to-result time (<15 min), and also it is cheaper and more user-friendly. In comparison to ELISA, GFET offers advantages of total detection time, detection sensitivity, and simplicity. This GFET biosensing platform holds high promise for the point-of-care diagnosis and monitoring of traumatic brain injury in GP surgeries and patient homes.

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Section: ■ Results and Discussionmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

Detection of Glial Fibrillary Acidic Protein in Patient Plasma Using On-Chip Graphene Field-Effect Biosensors, in Comparison with ELISA and Single-Molecule Array

Ramadan

Akingbade

et al. 2021

ACS Sens.

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“…This sensing mechanism leads to a detection range from 0.05 ng/ml to 100 ng/ml with the LOD found to be 20 pg/ml. Although complicated nanostructures are believed capable to further enhance the electrochemical sensing performance (Li et al, 2020), the above method already provided competitive sensitivity compared to the gas chromatographic methods for the detection of chlorpyrifos in vegetable samples. Further to pesticides, mycotoxins and antibiotics are further examples of contamination commonly found in crop products.…”

Section: Applications In Food Safetymentioning

confidence: 99%

Emerging graphene-based sensors for the detection of food adulterants and toxicants – A review

et al. 2021

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“…Among the cited affinity biosensors, FET based biosensors were cited, the most cited one being from Seo et al [3]. Other recent reviews were devoted to biosensors for the diagnostics of other health deficiencies and among them FET based affinity biosensors: chronic obstructive pulmo- nary disease [15], immunodeficiency [16], neurodegenerative diseases [17], diabetes mellitus [18,19], cardiac failure [20], acute ischemic stroke [21], cancer [22][23][24] and different pathologies [25]. Two recent reviews were devoted to biosensors for the detection of contaminants in environmental matrices such as pesticides/herbicides [26] and pharmaceuticals and endocrine-disrupting compounds [27].…”

Section: Minireviewmentioning

confidence: 99%

Electrochemical Affinity Sensors Using Field Effect Transducer Devices for Chemical Analysis

2021

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The review presents advances and main challenges of the affinity sensors based on field-effect transistors published during the last five years. The different nanomaterial-based field-effect transistors are classified according to the nature of the nanomaterials, beginning by silicon, the "gold-standard" semiconductor, the gallium nitride semiconductor, the organic semiconductors, the silicon nanowires, the inorganic nanomaterials, the carbon nanotubes and the graphene. Due to its exceptional electrical properties, the main works are devoted to graphene. The obtained analytical performances for the detection of biomarkers, of DNA sequences and of miRNA are listed. The relation between the operational conditions -nature of the nanomaterials, procedure of preparation, choice of the receptor molecule, method of immobilization -and the analytical performance are discussed. The perspective of industrialization of these affinity sensors based on field-effect transistors is discussed.

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Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor

Cited by 34 publications

References 185 publications

Detection of Glial Fibrillary Acidic Protein in Patient Plasma Using On-Chip Graphene Field-Effect Biosensors, in Comparison with ELISA and Single-Molecule Array

Detection of Glial Fibrillary Acidic Protein in Patient Plasma Using On-Chip Graphene Field-Effect Biosensors, in Comparison with ELISA and Single-Molecule Array

Emerging graphene-based sensors for the detection of food adulterants and toxicants – A review

Electrochemical Affinity Sensors Using Field Effect Transducer Devices for Chemical Analysis

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