TY - JOUR
T1 - Polyoxometalate-cyclodextrin supramolecular entities for real-time in situ monitoring of dopamine released from neuroblastoma cells
AU - Shetty, Saptami Suresh
AU - Moosa, Basem
AU - Zhang, Li
AU - Alshankiti, Buthainah
AU - Baslyman, Walaa
AU - Mani, Veerappan
AU - Khashab, Niveen M.
AU - Salama, Khaled Nabil
N1 - Funding Information:
The authors acknowledge the financial support from King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia and funding from the KAUST smart health initiative .
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Optimized and sensitive biomarker detection has recently been shown to have a critical impact on quality of diagnosis and medical care options. In this research study, polyoxometalate-γ-cyclodextrin metal−organic framework (POM–γCD MOF) was utilized as an electrocatalyst to fabricate highly selective sensors to detect in-situ released dopamine. The POM–γCD MOF produced multiple modes of signals for dopamine including electrochemical, colorimetric, and smartphone read-outs. Real-time quantitative monitoring of SH-SY5Y neuroblastoma cellular dopamine production was successfully demonstrated under various stimuli at different time intervals. The POM-CD MOF sensor and linear regression model were used to develop a smartphone read-out platform, which converts dopamine visual signals to digital signals within a few seconds. Ultimately, POM–γCD MOFs can play a significant role in the diagnosis and treatment of various diseases that involve dopamine as a significant biomarker.
AB - Optimized and sensitive biomarker detection has recently been shown to have a critical impact on quality of diagnosis and medical care options. In this research study, polyoxometalate-γ-cyclodextrin metal−organic framework (POM–γCD MOF) was utilized as an electrocatalyst to fabricate highly selective sensors to detect in-situ released dopamine. The POM–γCD MOF produced multiple modes of signals for dopamine including electrochemical, colorimetric, and smartphone read-outs. Real-time quantitative monitoring of SH-SY5Y neuroblastoma cellular dopamine production was successfully demonstrated under various stimuli at different time intervals. The POM-CD MOF sensor and linear regression model were used to develop a smartphone read-out platform, which converts dopamine visual signals to digital signals within a few seconds. Ultimately, POM–γCD MOFs can play a significant role in the diagnosis and treatment of various diseases that involve dopamine as a significant biomarker.
KW - In situ dopamine monitoring
KW - Metal organic frameworks
KW - Neurodegenerative disease
KW - Point-of-care sensors
KW - Real-time sensors
KW - Supramolecular entities
UR - http://www.scopus.com/inward/record.url?scp=85151003467&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2023.115240
DO - 10.1016/j.bios.2023.115240
M3 - Article
C2 - 36963326
AN - SCOPUS:85151003467
SN - 0956-5663
VL - 229
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
M1 - 115240
ER -