지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 845 - 850 (6page)
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초록· 키워드
오류제보하기
In biological process, it not simple to analyze concentrations of a mixture in bioreactor because pre-processing is required for analyzing bio-product. Also, on-line monitoring of biological processes is essential for maximizing productivity because reactions are very slow. The Raman spectroscopy is suitable for on-line monitoring of bioprocess with proper analysis algorithms. This work proposes a prediction technique based on Raman spectra. It first removes the background effect and further reduces noise using the Rolling-Circle Filter (RCF) and Savitzky-Golay smoothing filter, respectively. Then Partial Least Square (PLS) is used to reduce the dimension of spectra and predict the concentrations based on latent variables. The prediction performance of glucose concentration was improved by 30% by applying the proposed methods.
목차
Abstract
1. INTRODUCTION
2. MATERIALS AND METHODS
3. RESULTS
4. CONCLUSION
REFERENCES
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