Real-time estimation of glucose concentration in algae cultivation system using Raman spectroscopy
Real-time estimation of glucose concentration in algae cultivation system using Raman spectroscopy
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DOI：
10.1016/j.biortech.2013.05.008
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发表时间：
2013-08-01
影响因子：
11.4
通讯作者：
Lee, Jong Min
中科院分区：
文献类型：
--
作者：
Oh, Se-Kyu;Yoo, Sung Jin;Lee, Jong Min
这项工作提出了一种软传感器设计，用于使用拉曼光谱在混合营养条件下实时估计葡萄糖浓度。建议的方法应用滚环滤波器 (RCF)、偏最小二乘法 (PLS) 和连续的 Savitzky-Golay (SG) 平滑滤波器。 RCF用于在预处理步骤中消除拉曼光谱的背景影响。 PLS 用于降低光谱数据的维数并将其与浓度相关联。 SG过滤器进一步用作后处理步骤，以连续的方式调整预测的葡萄糖浓度。使用人工分析和来自微藻培养系统的样品进行了两组实验以进行验证。与其他数据处理和回归技术相比，所提出的方法显示出改进的预测性能。 (C) 2013 Elsevier Ltd. 保留所有权利。
This work proposes a soft-sensor design for real-time estimation of glucose concentration under mixotrophic conditions using Raman spectroscopy. The suggested approach applies a Rolling-Circle Filter (RCF), Partial Least Squares (PLS), and a successive Savitzky-Golay (SG) smoothing filter. RCF is used to remove the background effects of Raman spectrum in the pre-processing step. PLS is used to reduce the dimensionality of spectrum data and relate them to the concentration. The SG filter is further employed as a post-processing step in a successive manner to adjust predicted glucose concentrations. Two sets of experiments using artificial assays and samples from a microalgae cultivation system were performed for verification. The proposed approach showed improved prediction performances compared to other data processing and regression techniques. (C) 2013 Elsevier Ltd. All rights reserved.