Murat Kaan Erdal

Dr. Murat Kaan Erdal

orcid

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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19 May 2023 in Science Advances
Verified
Journal Article
Open access
JGJulian Gerson
Julian Gerson
MEMurat Kaan Erdal
Murat Kaan Erdal
MMMatthew H. McDonough
Matthew H. McDonough
KPKyle L. Ploense
Kyle L. Ploense
PDPhilippe Dauphin-Ducharme
Philippe Dauphin-Ducharme
TKTod Kippin
Tod Kippin
Knowledge of drug concentrations in the brains of behaving subjects remains constrained on a number of dimensions, including poor temporal resolution and lack of real-time data. Here, however, we demonstrate the ability of electrochemical aptamer-based sensors to support seconds-resolved, real-time measurements of drug concentrations in the brains of freely moving rats. Specifically, using such sensors, we achieve 1.5 hours. These results demonstrate the utility of such sensors in (i) the determination of the site-specific, seconds-resolved neuropharmacokinetics, (ii) enabling the study of individual subject neuropharmacokinetics and concentration-response relations, and (iii) performing high-precision control over intracranial drug levels.

2 November 2023 in Sensors & Diagnostics
Verified
Journal Article
Open access
PDF file
EVElsi Verrinder
Elsi Verrinder
KLKaylyn Leung
Kaylyn Leung
MEMurat Kaan Erdal
Murat Kaan Erdal
LSLior Sepunaru
Lior Sepunaru
KPKevin Plaxco
Kevin Plaxco
Electrochemical aptamer-based sensors support real-time, in vivo molecular measurements. Here we compare the relative merits of square-wave, alternating current, and differential pulse voltammetry in the interrogation of such sensors.

4 February 2026 in Nature Biotechnology
Verified
Journal Article
Closed access
MBMarsilea Booth
Marsilea Booth
MEMurat Kaan Erdal
Murat Kaan Erdal
MLMikel Larson
Mikel Larson
EBEmily Birthisel
Emily Birthisel
MFMark Friedel
Mark Friedel
KPKevin Plaxco
Kevin Plaxco

15 June 2024 in British Journal of Pharmacology
Verified
Journal Article
Closed access
JGJulian Gerson
Julian Gerson
MEMurat Kaan Erdal
Murat Kaan Erdal
PDPhilippe Dauphin‐Ducharme
Philippe Dauphin‐Ducharme
AIAndrea Idili
Andrea Idili
JHJoao P. Hespanha
Joao P. Hespanha
TKTod Kippin
Tod Kippin

11 April 2025 in ACS Pharmacology & Translational Science
Verified
Journal Article
Closed access
NENicole A. Emmons
Nicole A. Emmons
ZDZeki Duman
Zeki Duman
MEMurat Kaan Erdal
Murat Kaan Erdal
JHJoão Hespanha
João Hespanha
TKTod E. Kippin
Tod E. Kippin
KPKevin Plaxco
Kevin Plaxco

22 April 2025 in ACS Pharmacology & Translational Science
Verified
Journal Article
Open access
NENicole A. Emmons
Nicole A. Emmons
JGJennifer M. Gibson
Jennifer M. Gibson
MMMatthew H. McDonough
Matthew H. McDonough
JGJulian Gerson
Julian Gerson
MEMurat Kaan Erdal
Murat Kaan Erdal
TKTod Kippin
Tod Kippin
The kinetics with which chemotherapeutics distribute into solid tissues, including their sites of both action and toxicity, remains poorly characterized. This is due to the limited temporal resolution of traditional methods of measuring drug concentrations in the body, all of which employ sample collection (e.g., via a blood draw or microdialysis) followed by benchtop analysis. Here, we have used electrochemical aptamer-based (EAB) sensors to perform simultaneous, 12 s resolution, nanomolar-precision measurements of the chemotherapeutic doxorubicin in the jugular vein (plasma) and subcutaneous space (interstitial fluid) of live rats. The resulting data sets identify predictively strong correlations between its plasma and solid-tissue pharmacokinetics in terms of both cumulative (area under the curve) and maximum exposure. In contrast, the correlations between delivered body-mass-adjusted and body-surface-area-adjusted doses and drug exposure in both the plasma and solid tissue are relatively poor. The latter observation highlights the need for therapeutic drug monitoring, and the former observation shows the potential value of employing subcutaneous EAB sensors as a convenient, minimally invasive, high-precision means of performing such monitoring. The high time density of our two-compartment data sets also provides unprecedented opportunities to model the distribution of a drug from the central compartment to a distal physiological compartment. We find that the preferred description of doxorubicin transport into the solid tissues for five of our six data sets is a three-compartment model composed of the vein (plasma), the interstitial fluid, and an unobserved third compartment distal to the interstitial fluid, with this additional compartment presumably representing intracellular fluid.