Photonics Research, Volume. 12, Issue 7, 1564(2024)
Liquid crystal immunosensors for the selective detection of
Fig. 1. Schematic representation of the functionalization procedure to obtain
Fig. 2. Schematic representation of LC-based biosensors’ detection mechanism and assembly.
Fig. 3. Photographs of the developed prototype (a) covered and (b) uncovered, highlighting the display in case of a (c) negative or (d) positive result for
Fig. 4. Optical appearance of the LC-based sensors under a POM, after incubation for 30 s in
Fig. 5. (a) Average spectra. (b) Variation of the obtained integrated spectral light flux of the ten sensor samples, after incubation for 30 s in
Fig. 6. (a) Average optical spectra obtained during the selectivity tests for four different bacteria strains and (b) corresponding POM images. The scale bar in the POM images corresponds to 100 μm.
Fig. 7. Histogram comparison of the integrated spectral light flux for the four tested sensors that were exposed to suspensions containing different bacteria (
Fig. 8. SEM images of
Fig. 9. Results of the depuration tests with the LC sensors: POM images corresponding to the sample taken at (a) 0 h, (b) 0.5 h, (c) 3 h, (d) 4.5 h, (e) 22.5 h, and (f) 24 h. (g) Optical spectra obtained by analyzing the different sensors and (h) corresponding integrated spectral light flux values versus depuration time.
Fig. 10. Comparison between results obtained by analyzing different LC sensors using the integrated spectral light flux method and the percentage values obtained with the prototype.
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Sandro C. Oliveira, Maria S. Soares, Bárbara V. Gonçalves, Andreia C. M. Rodrigues, Amadeu M. V. M. Soares, Rita G. Sobral, Nuno F. Santos, Jan Nedoma, Pedro L. Almeida, Carlos Marques, "Liquid crystal immunosensors for the selective detection of
Category: Surface Optics and Plasmonics
Received: Mar. 26, 2024
Accepted: Apr. 27, 2024
Published Online: Jul. 1, 2024
The Author Email: Carlos Marques (carlos.marques@ua.pt)