A biosensor for measuring extracellular hydrogen peroxide concentrations
Kanazawa, Japan, Feb. 10, 2021: Researchers at Kanazawa University report in Biosensors and Bioelectronics a successful test of a sensor for measuring hydrogen peroxide concentrations near cell membranes. The sensor has the potential to become a tool for new cancer therapies.
Several processes in the human body are regulated by biochemical reactions involving hydrogen peroxide (H2O2). Although it can act as a ‘secondary messenger’, relaying or amplifying certain signals between cells, H2O2 is generally toxic because of its oxidant character. The latter means that it converts (oxidizes) biochemical molecules like proteins and DNA. The oxidizing property of H2O2 is of potential therapeutic relevance for cancer, though: deliberately causing tumor cells to increase their H2O2 concentration would be a way to destroy them. In light of this, but also for monitoring pathologies associated with H2O2 overproduction, it is crucial to have a means to reliably quantify hydrogen peroxide concentrations in the extracellular environment. Now, Leonardo Puppulin from Nano Life Science Institute (WPI-NanoLSI), Kanazawa University and colleagues have developed a sensor for measuring concentrations of H2O2 in the vicinity of cell membranes, with nanometer-resolution.
The biosensor consists of a gold nanoparticle with organic molecules attached to it. The whole cluster is designed so that it anchors easily to the outside of a cell’s membrane, which is exactly where the hydrogen peroxide molecules to be detected are. As attachment molecules, the scientists used a compound called 4MPBE, known to have a strong Raman scattering response: when irradiated by a laser, the molecules consume some of the laser light’s energy. By measuring the frequency change of the laser light, and plotting the signal strength as a function of this change, a unique spectrum is obtained — a signature of the 4MPBE molecules. When a 4MPBE molecule reacts with a H2O2 molecule, its Raman spectrum changes. Based on this principle, by comparing Raman spectra, Puppulin and colleagues were able to obtain an estimate of the H2O2 concentration near the biosensor.
After developing a calibration procedure for their nanosensor — relating the H2O2 concentration to a change in Raman spectrum in a quantitative way is not straightforward — the scientists were able to produce a concentration map with a resolution of about 700 nm for lung cancer cell samples. Finally, they also succeeded in extending their technique to obtain measurements of the H2O2 concentration variation across cell membranes.
Puppulin and colleagues conclude that their “novel approach may be useful for the study of actual H2O2 concentrations involved in cell proliferation or death, which are fundamental to fully elucidate physiological processes and to design new therapeutic strategies.”
Surface-enhance Raman spectroscopy
The biosensor developed by Leonardo Puppulin from Kanazawa University and colleagues is based on a method called surface-enhanced Raman spectroscopy (SERS). The principle derives from Raman spectroscopy, in which differences between the incoming and the outcoming frequencies of laser light irradiated onto a sample are analyzed. The spectrum obtained by plotting the signal strength as a function of frequency difference is characteristic for the sample, which can in principle be a single molecule. Typically, however, the signal coming from one molecule is too weak to detect, but the effect can be enhanced when the molecule is absorbed on a rough metal surface. Puppulin and colleagues applied the technique to (indirectly) detect hydrogen peroxide; their Raman-responsive molecule is a compound called 4MPBE, which is modified when exposed to hydrogen peroxide.
- Plasma membrane anchored nanosensor for quantifying endogenous production of H2O2 in living cells
- Shigekuni Hosogi, Yoshinori Marunaka, Eishi Ashihara, Tadaaki Yamada, Ayumi Sumino, Hideo Tanaka and Leonardo Puppulin
- Biosensors and Bioelectronics
- Publication date
- Feb 10, 2021
This work was supported by World Premier International Research Center Initiative (WPI), MEXT, Japan and the Grant-in-Aid for Scientific Research (C) (19K05228) of JSPS.