Magnetophoretic Biosensor for the Detection of Deoxynivalenol in Food Safety Applications

This study presents an innovative biosensing technique based on the magnetophoretic migration of core-shell Fe₃O₄@Au nanoparticles functionalized with anti-DON IgG for the detection of the mycotoxin deoxynivaenol (DON). Magnetophoresis describes the movement of magnetic particles under an external magnetic field, where migration velocity is influenced by particle size and aggregation state. The detection strategy is based on the analyte-induced aggregation of nanoparticles: the presence of DON triggers the formation of aggregates whose size and number increase proportionally with DON concentration. These larger aggregates exhibit higher magnetophoretic mobility under a magnetic field, thus enabling quantification of DON through their accelerated migration toward the magnetic poles. Measurements were conducted using a specially designed 3D-printed cuvette holder with four magnets, to monitor transmittance variation over 1 hour after a 30-minute pre-incubation of the sample with the functionalized nanoparticles. The sensing parameter, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>₀ (inflection point of the logistic fit of transmittance kinetics at 530 nm), was used to correlate migration speed with DON concentration. The sensor achieved a detection limit of 0.5 ppm, exceeding regulatory thresholds for many foods. These results highlight the potential of magnetophoretic biosensing for rapid detection of DON, offering an alternative to conventional techniques.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-22
DOI
https://doi.org/10.1109/jsen.2025.3570984
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Magnetophoretic Biosensor for the Detection of Deoxynivalenol in Food Safety Applications

Adriano Acunzo, Bartolomeo Della Ventura, Daniele Marra, Maria De Luca et al.
IEEE Sensors Journal
Biosensors and Analytical Detection
article

Magnetophoretic Biosensor for the Detection of Deoxynivalenol in Food Safety Applications

Adriano Acunzo, Bartolomeo Della Ventura, Daniele Marra, Maria De Luca, Nikola Sakač, Raffaele Velotta, Bojan Šarkanj
article en

Abstract

This study presents an innovative biosensing technique based on the magnetophoretic migration of core-shell Fe₃O₄@Au nanoparticles functionalized with anti-DON IgG for the detection of the mycotoxin deoxynivaenol (DON). Magnetophoresis describes the movement of magnetic particles under an external magnetic field, where migration velocity is influenced by particle size and aggregation state. The detection strategy is based on the analyte-induced aggregation of nanoparticles: the presence of DON triggers the formation of aggregates whose size and number increase proportionally with DON concentration. These larger aggregates exhibit higher magnetophoretic mobility under a magnetic field, thus enabling quantification of DON through their accelerated migration toward the magnetic poles. Measurements were conducted using a specially designed 3D-printed cuvette holder with four magnets, to monitor transmittance variation over 1 hour after a 30-minute pre-incubation of the sample with the functionalized nanoparticles. The sensing parameter, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>₀ (inflection point of the logistic fit of transmittance kinetics at 530 nm), was used to correlate migration speed with DON concentration. The sensor achieved a detection limit of 0.5 ppm, exceeding regulatory thresholds for many foods. These results highlight the potential of magnetophoretic biosensing for rapid detection of DON, offering an alternative to conventional techniques.

IEEE Sensors JournalVol. 25(13)
University of Zagreb (HR), University North (HR), University of Naples Federico II (IT)
Zero hunger
Openalex Percentile: Top 89%
Biosensors and Analytical Detection
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.