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A narrow band-rejection filter based on block copolymers.

Takahiko Yamanaka¹, Shigeo Hara, Toru Hirohata

¹Central Research Laboratory, HAMAMATSU PHOTONICS K.K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu, Shizuoka 434-8601, Japan. takahiko.yamanaka@crl.hpk.co.jp

|November 24, 2011

Summary

This study presents a polymer band-rejection filter (PBRF) using block copolymers (BCPs). The PBRF offers precise wavelength tuning and enables sensitive detection of low-frequency Raman shifts.

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Area of Science:

Materials Science
Optics
Spectroscopy

Background:

Polymer band-rejection filters (PBRFs) are crucial optical components.
Block copolymers (BCPs) offer tunable nanostructures for advanced material applications.
Highly-ordered microphase-separated structures in BCPs enable precise optical filtering.

Purpose of the Study:

To demonstrate the filtering characteristics of a polymer band-rejection filter (PBRF) based on block copolymers (BCPs).
To investigate the tunability of the filter's central wavelength.
To assess the filter's performance in Raman spectroscopy for detecting low-frequency shifts.

Main Methods:

Fabrication of a PBRF utilizing highly-ordered microphase-separated structures of BCPs.
Characterization of the filter's optical density and bandwidth.
Tuning of the filter's central wavelength by blending BCPs with varying molecular weights.
Application of the PBRF in Raman spectroscopy to detect low-frequency shifts.

Main Results:

The PBRF exhibited an Optical Density > 5 at the center wavelength.
A narrow blocking full bandwidth of 8 nm was achieved.
The filter's central wavelength was successfully tuned by blending BCPs.
A low-frequency Raman shift of 200 cm(-1) was detected with sufficient resolution using the PBRF.

Conclusions:

BCP-based PBRFs with highly-ordered microphase-separated structures offer excellent filtering characteristics.
The PBRF provides a tunable and effective solution for optical filtering applications.
The developed PBRF significantly enhances the capability of Raman spectroscopy for low-frequency shift detection.