2019
DOI: 10.1039/c9an00022d
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A smartphone biosensor based on analysing structural colour of porous silicon

Abstract: A smartphone biosensor with minimal external components is demonstrated for highly sensitive detection of biomolecules by monitoring the structural colour of a porous silicon film.

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Cited by 21 publications
(15 citation statements)
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“…These values are competitive with or lower than the LOD, ∼10 pg mm −2 , of conventional surface plasmon resonance techniques (35,36), which require spectral or angular interrogation, yet our sensor achieves label-free color changes that are detectable directly by the naked eye. As summarized in Table 1, our HSC scheme enabled demonstration of an enhanced colorimetric sensitivity ∂E 00 =∂λ, which is ∼7 to 30 times higher than recently reported structural colorbased sensors (6,7,37). Combined with the use of a highsensitivity porous medium, our structure enhances both terms of Eq.…”
Section: Resultsmentioning
confidence: 85%
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“…These values are competitive with or lower than the LOD, ∼10 pg mm −2 , of conventional surface plasmon resonance techniques (35,36), which require spectral or angular interrogation, yet our sensor achieves label-free color changes that are detectable directly by the naked eye. As summarized in Table 1, our HSC scheme enabled demonstration of an enhanced colorimetric sensitivity ∂E 00 =∂λ, which is ∼7 to 30 times higher than recently reported structural colorbased sensors (6,7,37). Combined with the use of a highsensitivity porous medium, our structure enhances both terms of Eq.…”
Section: Resultsmentioning
confidence: 85%
“…Narrowband illumination of structural color sensors, as shown in Fig. 1B, has previously been demonstrated as a means for achieving high sensitivities and reducing the LOD by providing amplified luminance variations in response to small spectral perturbations (6,7). As viewed from CIE xyY color space, monochromatic sensors are restricted to one-dimensional color changes along the luminance coordinate Y, where variations in chromaticity are strictly 0: Δx = Δy = 0.…”
Section: Approach/frameworkmentioning
confidence: 99%
“…A porous silicon microcavity (PSM) is an FPI structure created by two DBRs with a thin layer of porous silicon (PS). PS is inexpensive, easy to fabricate, and has a large sensing surface, so it has been widely investigated to develop label-free optical biosensors [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ]. The refractive index of a PS layer is determined by the porosity, which can be modulated by adjusting parameters of electrochemical etching such as the etching time and current density.…”
Section: Fabry-perot Interferometer (Fpi)-based Biosensorsmentioning
confidence: 99%
“…Some researchers investigated the potential of PSM-based biosensors for multiplexed, real-time detection, and POC diagnostics [ 56 , 59 , 60 ]. Pham et al presented a PSM sensor to detect two different organic solvents simultaneously and measure the low concentration of pesticides in water [ 59 ].…”
Section: Fabry-perot Interferometer (Fpi)-based Biosensorsmentioning
confidence: 99%
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