Researchers develop new SERS method for active capture of target molecules

Recently, a team led by Prof. Yang Liangbao from Hefei Institutes of Physical Science, Chinese Academy of Sciences used the nano-capillary pumping action to automatically capture the target molecules into a smaller gap and achieve highly sensitive Surface-Enhanced Raman Spectroscopy (SERS) detection by constructing a multilayer nanoparticle film to form a natural gap of less than 3 nm between the layers.

The results were published in Advanced Optical Materials.

SERS is a molecular spectroscopy with fast, highly sensitive and fingerprint recognition properties.

In this research, the team developed a new SERS method for active capture of target molecules in small gaps between multiple layers that were naturally smaller than 3 nm, which was based on their previous research on the SERS method for automatic capture of target molecules in single-layer nanofilm hotspots.

They constructed a natural three-layer silver nanoparticle film structure with small interbedded gaps of 1-3 nm and a large number of hot spots by a liquid-liquid interface assembly method, which effectively increased the number of hot spots. Due to the nano-pumping effect generated by these smaller gaps, the target solution could spontaneously move upwards through the nano-gaps, and the small gaps actively captured the target molecules making the signals of the target molecules dramatically amplified for sensitive detection.

Compared to the traditional dry state SERS method, this method allowed the target molecule to enter the hot spot more effectively and reduced the detection limit by 2-3 orders of magnitude.

The method provided a platform for trace dynamic detection and had been successfully applied to track material changes during sperm-egg cell binding. The results opened up new methods for the active transport of target molecules to optimal hotspots and were expected to enable ultra-sensitive detection or monitoring of biological systems in the direction of material transformation, cell behavior or chemical kinetic process studies.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
SMART software offers new solution for modeling cell-signaling networks