Nofar Mintz Hemed
Physical Science Research Scientist
T. H. Geballe Laboratory for Advanced Materials
Bio
Nofar Hemed received her Ph.D. from Tel-Aviv University (Israel) in 2017 for her work on the performance and reliability of Si nanowire-forest structure for biosensor applications. She joined Stanford on September 2017 as a recipient of the prestigious "The Eric and Wendy Schmidt Postdoctoral Award", and she is currently working on multi-array for electrochemical brain mapping.
Academic Appointments
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Phys Sci Res Assoc, T. H. Geballe Laboratory for Advanced Materials
Honors & Awards
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Postdoctoral Award Program for Advancing Women in Science, Ben-Gurion University (08/2018)
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VATAT Postdoctoral Award for Excellent candidates, The Council for Higher Education of Israel (07/2017)
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Prize for Initiative and Academic Excellence, Tel-Aviv University (05/2017)
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Marian Gertner Institute for MedicalNanosystems, Marian Gertner (04/2017)
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The Eric and Wendy Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences, Schmidt foundation (11/2016)
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International Travel Grant, Israeli Ministry of Science (05/2016)
All Publications
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A CMOS-based highly scalable flexible neural electrode interface.
Science advances
2023; 9 (23): eadf9524
Abstract
Perception, thoughts, and actions are encoded by the coordinated activity of large neuronal populations spread over large areas. However, existing electrophysiological devices are limited by their scalability in capturing this cortex-wide activity. Here, we developed an electrode connector based on an ultra-conformable thin-film electrode array that self-assembles onto silicon microelectrode arrays enabling multithousand channel counts at a millimeter scale. The interconnects are formed using microfabricated electrode pads suspended by thin support arms, termed Flex2Chip. Capillary-assisted assembly drives the pads to deform toward the chip surface, and van der Waals forces maintain this deformation, establishing Ohmic contact. Flex2Chip arrays successfully measured extracellular action potentials ex vivo and resolved micrometer scale seizure propagation trajectories in epileptic mice. We find that seizure dynamics in absence epilepsy in the Scn8a+/- model do not have constant propagation trajectories.
View details for DOI 10.1126/sciadv.adf9524
View details for PubMedID 37285436
View details for PubMedCentralID PMC10246892
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On-Demand, Reversible, Ultrasensitive Polymer Membrane Based on Molecular Imprinting Polymer.
ACS nano
2023
Abstract
The development of in vivo, longitudinal, real-time monitoring devices is an essential step toward continuous, precision health monitoring. Molecularly imprinted polymers (MIPs) are popular sensor capture agents that are more robust than antibodies and have been used for sensors, drug delivery, affinity separations, assays, and solid-phase extraction. However, MIP sensors are typically limited to one-time use due to their high binding affinity (>107 M-1) and slow-release kinetics (<10-4 muM/sec). To overcome this challenge, current research has focused on stimuli-responsive MIPs (SR-MIPs), which undergo a conformational change induced by external stimuli to reverse molecular binding, requiring additional chemicals or outside stimuli. Here, we demonstrate fully reversible MIP sensors based on electrostatic repulsion. Once the target analyte is bound within a thin film MIP on an electrode, a small electrical potential successfully releases the bound molecules, enabling repeated, accurate measurements. We demonstrate an electrostatically refreshed dopamine sensor with a 760 pM limit of detection, linear response profile, and accuracy even after 30 sensing-release cycles. These sensors could repeatedly detect <1 nM dopamine released from PC-12 cells in vitro, demonstrating they can longitudinally measure low concentrations in complex biological environments without clogging. Our work provides a simple and effective strategy for enhancing the use of MIPs-based biosensors for all charged molecules in continuous, real-time health monitoring and other sensing applications.
View details for DOI 10.1021/acsnano.2c11618
View details for PubMedID 36913954
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An integrated perspective for the diagnosis and therapy of neurodevelopmental disorders - From an engineering point of view.
Advanced drug delivery reviews
2023; 194: 114723
Abstract
Neurodevelopmental disorders (NDDs) are complex conditions with largely unknown pathophysiology. While many NDD symptoms are familiar, the cause of these disorders remains unclear and may involve a combination of genetic, biological, psychosocial, and environmental risk factors. Current diagnosis relies heavily on behaviorally defined criteria, which may be biased by the clinical team's professional and cultural expectations, thus a push for new biological-based biomarkers for NDDs diagnosis is underway. Emerging new research technologies offer an unprecedented view into the electrical, chemical, and physiological activity in the brain and with further development in humans may provide clinically relevant diagnoses. These could also be extended to new treatment options, which can start to address the underlying physiological issues. When combined with current speech, language, occupational therapy, and pharmacological treatment these could greatly improve patient outcomes. The current review will discuss the latest technologies that are being used or may be used for NDDs diagnosis and treatment. The aim is to provide an inspiring and forward-looking view for future research in the field.
View details for DOI 10.1016/j.addr.2023.114723
View details for PubMedID 36746077
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A scalable bonding technique for the development of next-generation brain-machine interfaces
IEEE. 2019: 863–66
View details for Web of Science ID 000469933200210
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Local electrochemical control of hydrogel microactuators in microfluidics
JOURNAL OF MICROMECHANICS AND MICROENGINEERING
2018; 28 (10)
View details for DOI 10.1088/1361-6439/aacc31
View details for Web of Science ID 000436949400002