Behnaz Akbari
Engineering · Purdue University West Lafayette
Publications
20
Citations
559
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
Behnaz Akbari's work spans analytical chemistry and biomedical imaging, with particular attention to detecting and characterizing malondialdehyde (a marker of oxidative stress and lipid damage) using techniques like gas chromatography-mass spectrometry, as well as advancing cardiovascular and low-field MRI methods. Recent projects also touch on functional food peptides, imaging mass spectrometry, and biomarker discovery in rare genetic syndromes. This suggests a research profile that bridges chemical sensing/analytical methods with medical imaging and diagnostic applications.
Publication output has grown from none in the late 2010s to a steady pace of about 3 papers per year over the last five years, indicating consistent and slightly increasing research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Citrus-derived peptides: Emerging functional and therapeutic potential
Food Bioscience · 2026
- Toward early biomarker identification in Levy–Yeboa syndrome: The potential role of lipid rafts
Next research. · 2026
- Multi-center investigation of cardiac diffusion tensor imaging in healthy volunteers by the Society of Cardiovascular Magnetic Resonance Cardiac Diffusion Special Interest Group NETwork (SIGNET)
Journal of Cardiovascular Magnetic Resonance · 2025
- Initial potential of 0.064 T globally accessible portable bedside MRV for diagnostic imaging of head and neck veins without exogenous contrast
Journal of Cardiovascular Magnetic Resonance · 2025
- Abstract 1837 A Novel Targetted Sensing Approach to Detect Malondialdehyde, a Biomarker of Oxidative Stress & Lipid Peroxidation
Journal of Biological Chemistry · 2025
- Multi-center investigation of cardiac diffusion tensor imaging in healthy volunteers by the Society of Cardiovascular Magnetic Resonance Cardiac Diffusion Special Interest Group NETwork (SIGNET)
Repository for Publications and Research Data (ETH Zurich) · 2025
- Systems Thinking, Causal Loop Diagram, and Systems Dynamic in Public Health Challenges: Navigating Long COVID Syndrome and Sense of Smell in LGBTQIA+ Communities
Public Health Challenges · 2024
- Very Low Field Portable Bedside MRA: Initial Potential
Journal of Cardiovascular Magnetic Resonance · 2024
- Very Low Field Portable Bedside MRV: Initial Potential
Journal of Cardiovascular Magnetic Resonance · 2024
- Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA
Journal of Chemometrics · 2023
- Unlocking the Hidden Depths: Multi-Modal Integration of Imaging Mass Spectrometry-Based and Molecular Imaging Techniques
Critical Reviews in Analytical Chemistry · 2023
- Unlocking the Hidden Depths: Multi-Modal Integration of Imaging Mass Spectrometry-Based and Molecular Imaging Techniques
Figshare · 2023
- The role of plant‐derived natural antioxidants in reduction of oxidative stress
BioFactors · 2022
- Author response for "Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by Determination of MDA"
2022
- Mass spectrometry imaging using cytometry by time-of-flight strategies for brain tissues: a literature review
OpenBU (Boston University) · 2022
- Journal of Cardiovascular Magnetic Resonance×4
- BioFactors×1
- Journal of Chemometrics×1
- Critical Reviews in Analytical Chemistry×1
- Journal of Cardiovascular and Thoracic Research×1
- Mark Woollam
Engineering · Indiana University
- Huiwen Bai
Engineering · Purdue University West Lafayette
- Abigail Enders
Engineering · The Ohio State University
- Amanda P. Siegel
Engineering · Indiana University
- Anthony Annerino
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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