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Published on: July 21, 2018
Development of a novel evaluation method for air particles using surface plasmon resonance spectroscopy analysis
Ryoya Tanaka1, Ryusaku Gomi, Kunihiro Funasaka
1Division of Applied Biology, Faculty of Textile Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano 386-8567, Japan.
This study introduces a new method for evaluating air particles using surface plasmon resonance (SPR) spectroscopy. The SPR analysis successfully differentiated various particulate matters based on their interaction with a liposome-coated sensor chip.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Biophysics
Background:
- Air particle analysis is crucial for environmental monitoring and health risk assessment.
- Current methods for characterizing air particles can be complex and time-consuming.
- Developing rapid and sensitive detection techniques for airborne particulates is essential.
Purpose of the Study:
- To develop and validate a novel evaluation method for air particles using surface plasmon resonance (SPR) spectroscopy.
- To utilize a liposome-modified sensor chip as a model for respiratory epithelial cell membranes.
- To characterize the interaction and adsorption/desorption behavior of various air particles on the model membrane.
Main Methods:
- An L1 sensor chip was functionalized with immobilized liposomes to mimic cell membranes.
- Suspensions of certified reference materials, diesel particulate matter, vehicle exhaust, urban particulate matter, coal fly ash, and rock particles were prepared.
- Filtrates of these samples were analyzed using SPR spectroscopy to detect particle-membrane interactions.
- SPR sensorgram patterns were analyzed to understand particle adsorption and desorption dynamics.
Main Results:
- Distinct SPR sensorgram patterns were observed for different types of air particles.
- Diesel particulate matter exhibited strong interaction and low dissociation with the liposome-coated sensor.
- Coal fly ash and rock particles showed weaker interactions with the model membrane.
- The SPR method effectively differentiated between various particulate samples based on their binding characteristics.
Conclusions:
- The developed SPR-based method offers a novel approach for evaluating and characterizing air particles.
- The liposome-modified sensor chip serves as an effective model for assessing particle-membrane interactions.
- This technique provides valuable insights into the adsorption/desorption behavior of airborne particulates, aiding in environmental risk assessment.
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