Piercing the Shadows: Exploring the Influence of Signal Preprocessing on Interpreting Ultrasensitive Bioelectronic...

Area of Science:

• Biomedical Engineering
• Diagnostic Technologies
• Biosensor Development

Background:

• Ultrasensitive electronic sensors are vital for early in vitro diagnostics.
• Electronic data offers simpler processing than optical or spectral data.
• Preprocessing electronic data from biosensors is less developed than for optical methods.

Purpose of the Study:

• To investigate the impact of data preprocessing on electronic biosensor outcomes.
• To evaluate the Single-Molecule with a Large Transistor (SiMoT) array (TRL 5).
• To analyze plasma and cyst fluid samples from patients with pancreatic precursor cyst lesions.

Main Methods:

• Utilized a Single-Molecule with a Large Transistor (SiMoT) array.
• Analyzed a dataset from 37 patients with pancreatic precursor cyst lesions.
• Examined the effects of standard signal preprocessing techniques on electronic biosensor data.

Main Results:

• Standard signal preprocessing can introduce artifacts, leading to misleading conclusions.
• Mathematical transformations in preprocessing can obscure true biochemical information.
• Identified specific artifacts impacting the analysis of pancreatic cyst lesion samples.

Conclusions:

• Data preprocessing strategies for electronic biosensors require careful consideration.
• Standard preprocessing methods may not be suitable for all biosensor data types.
• Developed strategies to mitigate preprocessing artifacts for accurate biosensor data interpretation.