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ProSpecTool: A MATLAB toolbox for spectral preprocessing selection
DOI:10.1016/j.chemolab.2024.105096.png)
摘要
En 中文
This paper introduces the ProSpecTool, a MATLAB toolbox for automated selection of preprocessing methods for obtaining optimal PLS regression models in vibrational spectroscopy. Trial-and-error approaches for preprocessing can be time-consuming, and the success of the process relies on the experience of analysts. The ProSpecTool addresses this challenge by using objective criteria analogous to expert judgment to filter and iterate preprocessing methods based on raw data properties. The toolbox quantifies noise, identifies multiplicative and additive scatter-effects, and selects preprocessing algorithms to correct them. Results demonstrate that the ProSpecTool can produce models that resemble those proposed by experienced analysts based on trial-and-error in terms of performance and robustness, making it a valuable exploratory tool for vibrational spectroscopy practitioners.
Keyword:
Partial least squares regression (PLSR)
Automatic
Near-infrared (NIR)
Mid-infrared (MIR)
Raman
UV -Visible
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期刊
IF:
3.8
论文数:
4.6K
被引数:
1.2W
机构
引用论文
The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples在预测模型中选择适当的验证策略的重要性。带有真实示例的教程
Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments
ANALYTICAL CHEMISTRY
IF6.7

