Optimizing the Limit of Detection of Waveguide-Based Interferometric Biosensor Devices

Leuermann, Jonas; Gavela, Adrián Fernández; Torres-Cubillo, Antonia; Postigo, Sergio; Sánchez‐Postigo, Alejandro; Lechuga, Laura M.; Halir, Robert; Molina-Fernández, Í.

doi:10.3390/s19173671

Cited by 42 publications

(16 citation statements)

References 37 publications

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“…The sensor protein mApple-D6A3 detected metal ions in the concentration range of 0-1 mM, which is relatively high (Kim et al 2019;Lee et al 2019). However, the limit of reliable detection mainly depends on the sensor's response to heavy metal ions and noise in the read out system (Leuermann et al 2019). Nevertheless, we can continue to investigate further the mechanisms of action of mApple-D6A3 on metal ions and combine these future studies with bioinformatics strategies to design mutants with enhanced sensitivity and efficiency for binding heavy metal ions, while minimizing the potential effects that the external environment may have on them, thereby expanding their detection limits.…”

Section: Discussionmentioning

confidence: 99%

Construction of a mApple-D6A3-mediated biosensor for detection of heavy metal ions

Guan

Zhou

et al. 2020

AMB Expr

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Pollution of heavy metals in agricultural environments is a growing problem to the health of the world’s human population. Green, low-cost, and efficient detection methods can help control such pollution. In this study, a protein biosensor, mApple-D6A3, was built from rice-derived Cd2+-binding protein D6A3 fused with the red fluorescent protein mApple at the N-terminus to detect the contents of heavy metals. Fluorescence intensity of mApple fused with D6A3 indicated the biosensor’s sensitivity to metal ions and its intensity was more stable under alkaline conditions. mApple-D6A3 was most sensitive to Cu2+, then Ni2+, then Cd2+. Isothermal titration calorimetry experiments demonstrated that mApple-D6A3 successfully bound to each of these three metal ions, and its ability to bind the ions was, from strongest to weakest, Cu2+ > Cd2+ > Ni2+. There were strong linear relationships between the fluorescence intensity of mApple-D6A3 and concentrations of Cd2+ (0–100 μM), Cu2+ (0–60 μM) and Ni2+ (0–120 μM), and their respective R2 values were 0.994, 0.973 and 0.973. When mApple-D6A3 was applied to detect concentrations of heavy metal ions in water (0–0.1 mM) or culture medium (0–1 mM), its accuracy for detection attained more than 80%. This study demonstrates the potential of this biosensor as a tool for detection of heavy metal ions.

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Section: Discussionmentioning

confidence: 99%

Construction of a mApple-D6A3-mediated biosensor for detection of heavy metal ions

Guan

Zhou

et al. 2020

AMB Expr

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“…These sensors, when functionalized with Fab', are able to detect AFM1 in concentrated and filtered milk samples down to a concentration of ≃ 48 pM within a few minutes. MZI-based sensors are extremely interesting for a wide range of applications [125,126]. For example, they have been also used to detect volatile organic compounds (VOC) at extremly low levels [127].…”

Section: Mach-zehnder Interferometer-based Sensormentioning

confidence: 99%

Thirty Years in Silicon Photonics: A Personal View

Pavesi

2021

Front. Phys.

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Silicon Photonics, the technology where optical devices are fabricated by the mainstream microelectronic processing technology, was proposed almost 30 years ago. I joined this research field at its start. Initially, I concentrated on the main issue of the lack of a silicon laser. Room temperature visible emission from porous silicon first, and from silicon nanocrystals then, showed that optical gain is possible in low-dimensional silicon, but it is severely counterbalanced by nonlinear losses due to free carriers. Then, most of my research focus was on systems where photons show novel features such as Zener tunneling or Anderson localization. Here, the game was to engineer suitable dielectric environments (e.g., one-dimensional photonic crystals or waveguide-based microring resonators) to control photon propagation. Applications of low-dimensional silicon raised up in sensing (e.g., gas-sensing or bio-sensing) and photovoltaics. Interestingly, microring resonators emerged as the fundamental device for integrated photonic circuit since they allow studying the hermitian and non-hermitian physics of light propagation as well as demonstrating on-chip heavily integrated optical networks for reconfigurable switching applications or neural networks for optical signal processing. Finally, I witnessed the emergence of quantum photonic devices, where linear and nonlinear optical effects generate quantum states of light. Here, quantum random number generators or heralded single-photon sources are enabled by silicon photonics. All these developments are discussed in this review by following my own research path.

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“…20 min) without any drift correction. If a proper noise characterization is required, the power spectral density should be computed and stated [9,62]. State-of-the-art diffractometric biosen-sors have resolutions of coh below 100 fg/mm 2 over 20 min [7].…”

Section: Characterization Of Diffractometric Biosensorsmentioning

confidence: 99%

Quantitative Diffractometric Biosensing

et al. 2021

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Diffractometric biosensing is a promising technology to overcome critical limitations of refractometric biosensors, the dominant class of label-free optical transducers. These limitations manifest themselves by higher noise and drifts due to insufficient rejection of refractive index fluctuations caused by variation in temperature, solvent concentration, and, most prominently, nonspecific binding. Diffractometric biosensors overcome these limitations with inherent self-referencing on the submicron scale with no compromise on resolution. Despite this highly promising attribute, the field of diffractometric biosensors has only received limited recognition. A major reason is the lack of a general quantitative analysis. This hinders comparison to other techniques and amongst different diffractometric biosensors. For refractometric biosensors, on the other hand, such a comparison is possible by means of the refractive index unit (RIU). In this paper, we suggest the coherent surface mass density, coh , as a quantity for label-free diffractometric biosensors with the same purpose as the RIU in refractometric sensors. It is easy to translate coh to the total surface mass density tot , which is an important parameter for many assays. We provide a generalized framework to determine coh for various diffractometric biosensing arrangements that enables quantitative comparison. Additionally, the formalism can be used to estimate background scattering in order to further optimize sensor configurations. Finally, a practical guide with important experimental considerations is given to enable readers of any background to apply the theory. Therefore, this paper provides a powerful tool for the development of diffractometric biosensors and will help the field to mature and unveil its full potential.

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Optimizing the Limit of Detection of Waveguide-Based Interferometric Biosensor Devices

Cited by 42 publications

References 37 publications

Construction of a mApple-D6A3-mediated biosensor for detection of heavy metal ions

Construction of a mApple-D6A3-mediated biosensor for detection of heavy metal ions

Thirty Years in Silicon Photonics: A Personal View

Quantitative Diffractometric Biosensing

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