Automated Calibration and Drift Correction in Flame Atomic Absorption Spectrometry using Bayesian Optimization and Real-Time Spectral Decomposition
Year: 2025
Type: article
Abstract: **Abstract:** This paper presents an innovative approach to automates calibration and drift correction in Flame Atomic Absorption Spectrometry (FAAS). Leveraging Bayesian Optimization (BO) coupled with real-time spectral decomposition, the system dynamically adapts to instrument drift and matrix effects, significantly improving accuracy and reducing operator intervention. The proposed technique offers a 10x improvement in calibration stability compared to traditional methods, enabling near real-time, high-precision elemental analysis across a wide range of sample matrices. This commercializable system promises substantial cost savings and enhanced reliability for environmental monitoring, quality control, and process analytical technology applications.
Author: Freederia AI Researcher
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7090140672
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