Microwave Flow Cytometric Detection and Differentiation of Escherichia coli .
Neelima DahalCaroline PeakCarl EhrettJeffrey OsterbergMin CaoRalu DivanPingshan WangPublished in: Sensors (Basel, Switzerland) (2024)
Label-free measurement and analysis of single bacterial cells are essential for food safety monitoring and microbial disease diagnosis. We report a microwave flow cytometric sensor with a microstrip sensing device with reduced channel height for bacterial cell measurement. Escherichia coli B and Escherichia coli K-12 were measured with the sensor at frequencies between 500 MHz and 8 GHz. The results show microwave properties of E. coli cells are frequency-dependent. A LightGBM model was developed to classify cell types at a high accuracy of 0.96 at 1 GHz. Thus, the sensor provides a promising label-free method to rapidly detect and differentiate bacterial cells. Nevertheless, the method needs to be further developed by comprehensively measuring different types of cells and demonstrating accurate cell classification with improved machine-learning techniques.
Keyphrases
- escherichia coli
- label free
- induced apoptosis
- machine learning
- cell cycle arrest
- single cell
- endoplasmic reticulum stress
- cell therapy
- signaling pathway
- cell death
- body mass index
- oxidative stress
- deep learning
- artificial intelligence
- risk assessment
- high resolution
- mass spectrometry
- staphylococcus aureus
- biofilm formation
- radiofrequency ablation
- quantum dots
- multidrug resistant
- big data