Fig. 3: Using the BSV sensor to detect the β-lactamase levels in clinically isolated bacteria. | Nature Communications

Fig. 3: Using the BSV sensor to detect the β-lactamase levels in clinically isolated bacteria.

From: Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy

Fig. 3

A Flowchart of the BSV sensor testing process. The bacteria samples were dropped into the sampling hole of the sensor, followed by capturing the image and analyzing the color information with a smartphone. B The BSV sensors were used for detecting the clinical isolates of five different bacterial lysates at various concentrations from 103 to 106 CFU/mL. The BSV sensor images were captured after incubation at 15 min. C The color changes of the BSV sensor depicted in (B) were quantified using a smartphone equipped with color recognition software. The b* value and a* value, representing the transitions from yellow to blue and from green to red respectively, are recorded in the CIELAB (Lab) color model, which is a standardized color space used for colorimetry and spectroscopy analysis in biomedical research (paired two-tailed Student’s t test). Data represent mean ± s.d., n = 3, three technical replicates.

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