An Electrostatic Method for 3D Extrusion of Micron‐Sized Conductive Structures for Sensing Applications

ABSTRACT Materials with high electrical conductivity and large specific surface area are essential for biosensing, as they enable efficient charge transfer and enhanced performance. We present near‐collector electroprinting, an electrostatic additive manufacturing technique for fabricating sub‐millimeter biosensor structures with high surface area, improved conductivity, and feature sizes reduced by orders of magnitude. PEDOT:PSS was used as the base ink material, and Ti 3 C 2 MXene was added to improve the electrical conductivity. The optimized ink achieved a conductivity of ∼117 S cm −1 . Using a nozzle with an inner diameter of 80 µm and optimized printing parameters enabled precise fabrication of well‐defined multilayer structures. Separate lines were printed at 40 µm pitch, with top‐layer fiber widths as small as 3 µm, demonstrating significant resolution enhancement relative to the nozzle size. The technique also enabled fabrication of solid structures at 30 µm pitch. Ink flow was evaluated over printing speeds of 0.5–4.5 mm s −1 to identify instabilities and back‐pressure effects. Functionality of the printed structures was assessed through protein attachment and release. Bovine serum albumin (BSA) release reached ∼198 ± 45 µg mL −1 , nearly a 107 ± 24% molar ratio relative to dextran sulfate. These results demonstrate strong potential for compact, high‐resolution biosensing applications with efficient biomolecule interaction.

Authors

Institutions

Publication Details

Journal
Advanced Materials Technologies
Published
2026-07-30
DOI
https://doi.org/10.1002/admt.71207
Primary Topic
Nanomaterials and Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Electrostatic Method for 3D Extrusion of Micron‐Sized Conductive Structures for Sensing Applications

Farnaz Rezaei, Ruijing Shen, Cacie McDorman, Stefan Johansson
Advanced Materials Technologies
Nanomaterials and Printing Technologies
article

An Electrostatic Method for 3D Extrusion of Micron‐Sized Conductive Structures for Sensing Applications

Farnaz Rezaei, Ruijing Shen, Cacie McDorman, Stefan Johansson
article en

Abstract

ABSTRACT Materials with high electrical conductivity and large specific surface area are essential for biosensing, as they enable efficient charge transfer and enhanced performance. We present near‐collector electroprinting, an electrostatic additive manufacturing technique for fabricating sub‐millimeter biosensor structures with high surface area, improved conductivity, and feature sizes reduced by orders of magnitude. PEDOT:PSS was used as the base ink material, and Ti 3 C 2 MXene was added to improve the electrical conductivity. The optimized ink achieved a conductivity of ∼117 S cm −1 . Using a nozzle with an inner diameter of 80 µm and optimized printing parameters enabled precise fabrication of well‐defined multilayer structures. Separate lines were printed at 40 µm pitch, with top‐layer fiber widths as small as 3 µm, demonstrating significant resolution enhancement relative to the nozzle size. The technique also enabled fabrication of solid structures at 30 µm pitch. Ink flow was evaluated over printing speeds of 0.5–4.5 mm s −1 to identify instabilities and back‐pressure effects. Functionality of the printed structures was assessed through protein attachment and release. Bovine serum albumin (BSA) release reached ∼198 ± 45 µg mL −1 , nearly a 107 ± 24% molar ratio relative to dextran sulfate. These results demonstrate strong potential for compact, high‐resolution biosensing applications with efficient biomolecule interaction.

Advanced Materials Technologies
Uppsala University (SE), Palm Research Center (ID), Kanthal (Sweden) (SE)
Affordable and clean energy
Openalex Percentile: Top 16%
Nanomaterials and Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.