An electrochemiluminescent sensing matrix for real-time probing of cell-output reactive oxygen species.
Chen FangDan DuDongning LiJie HuangYifeng TuPublished in: Biomicrofluidics (2019)
Herein, a novel cell-based electrochemiluminescent (ECL) sensing matrix was developed for probing reactive oxygen species (ROSs) produced from mouse macrophage cells. Uniformly sized Au nanoparticles (AuNPs) with an average diameter of 16 nm were decorated on the surface of indium tin oxide (ITO) glass through the connection of hydrolyzed 3-aminopropyl trimethoxysilane (APTMS) serving as a sensor substrate. Then, the surface was covered with a poly-l-lysine thin film, where mouse macrophage cells were successfully cultured. The morphology of the electrodes obtained was characterized by scanning electron microscopy and atomic force microscopy, and their electrochemical properties were investigated by electrochemical impedance spectroscopy. A linear response was observed from the AuNPs/APTMS/ITO substrate with a sensitivity of 0.465 units per mg/l of H2O2, and a higher sensitivity of 207 units per mg/l of zymosan. Thereafter, a factor of 84 molecules of H2O2 produced by a single glycogen was estimated. The results demonstrated that the ECL response of this cell-based sensor quantitatively correlated with yielded ROSs during cell oxygen metabolism under the stimulation of zymosan. This work suggests that the prepared sensing matrix is efficient for monitoring the oxygen metabolism of living cells and can be applied in biological and clinical fields to provide significant information on the regular or abnormal function of cells.
Keyphrases
- induced apoptosis
- reactive oxygen species
- single cell
- single molecule
- atomic force microscopy
- electron microscopy
- living cells
- cell cycle arrest
- cell therapy
- gold nanoparticles
- adipose tissue
- stem cells
- high resolution
- endoplasmic reticulum stress
- photodynamic therapy
- reduced graphene oxide
- magnetic resonance
- cell death
- sensitive detection
- molecular dynamics simulations
- amino acid
- quantum dots
- high speed
- mesenchymal stem cells
- health information
- neural network
- social media