[An embedded peak recognition algorithm design for chromatography data in portable gas chromatographic instrument]

Area of Science:

• Analytical Chemistry
• Chromatography
• Algorithm Design

Context:

• Field analysis of chemical compounds requires portable and accurate instrumentation.
• Existing gas chromatographic (GC) systems often necessitate computer (PC) connections for data processing.
• Developing embedded algorithms for direct, on-site analysis is crucial for efficiency.

Purpose:

• To evaluate and validate an embedded peak recognition algorithm for chromatography data analysis.
• To enable direct measurement results from a portable GC system without PC connection.
• To improve the accuracy and relativity of chromatographic peak analysis.

Summary:

• A novel sequential mapping peak recognition method was developed for an embedded system in a portable gas chromatographic (GC) instrument.
• This algorithm reduces reliance on slope thresholds, enhancing data accuracy and distinguishing chromatographic peak components effectively.
• The embedded analysis system successfully detected all components in complex samples, yielding results comparable to Chemstation software.

Impact:

• Provides a portable GC solution for convenient, rapid, and accurate field analysis.
• Enhances the reliability of on-site chemical component detection, even in challenging matrices.
• Demonstrates a significant advancement in embedded data analysis for portable analytical instruments.