Bianca I. Seufert

Dr. Bianca I. Seufert


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2024 in Sensors
Verified
Journal Article
Open access
PDF file
BSBianca I. Seufert
Bianca I. Seufert
STSylvia Thomas
Sylvia Thomas
ATArash Takshi
Arash Takshi
Nanofiber technology is leading the revolution of wearable technology and provides a unique capability to fabricate smart textiles. With the novel fabrication technique of electrospinning, nanofibers can be fabricated and then manufactured into a durable conductive string for the application of smart textiles. This paper presents an electrospun nanofiber mesh-based (NF-Felt) string electrode with a conducting polymer coating for an electrochemical enzymatic glucose sensor. The surface area of a nanofiber matrix is a key physical property for enhanced glucose oxidase (GOx) enzyme binding for the development of an electrochemical biosensor. A morphological characterization of the NF-Felt string electrode was performed using scanning electron microscopy (SEM) and compared with a commercially available cotton–polyester (Cot-Pol) string coated with the same conducting polymer. The results from stress–strain testing demonstrated high stretchability of the NF-Felt string. Also, the electrochemical characterization results showed that the NF-Felt string electrode was able to detect a glucose concentration in the range between 0.0 mM and 30.0 mM with a sensitivity of 37.4 μA/mM·g and a detection limit of 3.31 mM. Overall, with better electrochemical performance and incredible flexibility, the NF-Felt-based string electrode is potentially more suitable for designing wearable biosensors for the detection of glucose in sweat.

16 June 2023 in Micromachines
Verified
Journal Article
Open access
PDF file
BABrayan Montero Arevalo
Brayan Montero Arevalo
BSBianca I. Seufert
Bianca I. Seufert
MHMohammad Shakhawat Hossain
Mohammad Shakhawat Hossain
EBEvans Bernardin
Evans Bernardin
ATArash Takshi
Arash Takshi
NSNorelli Schettini
Norelli Schettini
Alzheimer’s disease (AD) is a neurodegenerative disease with only late-stage detection; thus, diagnosis is made when it is no longer possible to treat the disease, only its symptoms. Consequently, this often leads to caregivers who are the patient’s relatives, which adversely impacts the workforce along with severely diminishing the quality of life for all involved. It is, therefore, highly desirable to develop a fast, effective and reliable sensor to enable early-stage detection in an attempt to reverse disease progression. This research validates the detection of amyloid-beta 42 (Aβ42) using a Silicon Carbide (SiC) electrode, a fact that is unprecedented in the literature. Aβ42 is considered a reliable biomarker for AD detection, as reported in previous studies. To validate the detection with a SiC-based electrochemical sensor, a gold (Au) electrode-based electrochemical sensor was used as a control. The same cleaning, functionalization and Aβ1–28 antibody immobilization steps were used on both electrodes. Sensor validation was carried out by means of Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS) aiming to detect an 0.5 µg·mL−1 Aβ42 concentration in 0.1 M buffer solution as a proof of concept. A repeatable peak directly related to the presence of Aβ42 was observed, indicating that a fast SiC-based electrochemical sensor was constructed and may prove to be a useful approach for the early detection of AD.

22 March 2024 in MRS Advances
Verified
Journal Article
Closed access
PDF file
BSBianca I. Seufert
Bianca I. Seufert
STSylvia Thomas
Sylvia Thomas
ATArash Takshi
Arash Takshi

4 March 2024 in MRS Advances
Verified
Journal Article
Closed access
PDF file
BSBianca I. Seufert
Bianca I. Seufert
STSylvia Thomas
Sylvia Thomas
ATArash Takshi
Arash Takshi