Physical Sensors: Fluorescence Sensors

Choi, Young-Sik; Sawada, Kazuaki

doi:10.1016/b978-0-12-822548-6.00095-9

Cited by 7 publications

(6 citation statements)

References 68 publications

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“…It's an environmentally friendly and most plentiful renewable resource that can efficiently and cost-effectively power your place cost-effectively. Hence, utilizing solar power in Saudi Arabia has many advantages, such as any other renewable energy that maintains the Earth for generations to come [19].…”

Section: Discussionmentioning

confidence: 99%

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Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Mohamed

2024

AMPC

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Section: Discussionmentioning

confidence: 99%

“…The energy of the released fluorescent X-ray is directly associated with a particular element since the energy difference between the ejected and replacement electrons is typical of the element atom in which the fluorescence process is taking place examined [19].…”

Section: Fluorescence (Xrf)mentioning

confidence: 99%

Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Mohamed

2024

AMPC

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“…PD has been difficult to model, particularly within drug discovery, as it is a complex neurodegenerative disease that progresses generally due to an intricate interplay between genetic and environmental insults over a person's life [38]. ONS display susceptibility to stress in a disease-like manner and have varying genetic and metabolomic differences [25,26].…”

Section: Discussionmentioning

confidence: 99%

Modelling α-synuclein processing in primary patient cells for pharmacological intervention

Smith,

Mellick,

Sykes

2023

Exploration of Medicine

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Aim: Parkinson’s disease (PD) is a complex, chronic neurodegenerative disorder with predominately sporadic etiology. Intricate genetic-environmental interactions lead to the hallmarks of the disease: degeneration of dopaminergic neurons and the deposition of α-synuclein aggregates. The aim of this study was to establish a novel primary patient cell model as an in vitro screen to study α-synuclein processing for drug screening. Methods: Primary patient olfactory neuroepithelial-derived cells (ONS) were exposed to α-synuclein and examined for cytotoxicity, processing, and solubility over 48 h. Epigallocatechin gallate (EGCG), which is known to destabilise α-synuclein fibrils, was used to investigate the solubilisation of α-synuclein in the model system. Results: Exposure to 0.1 μmol/L α-synuclein preformed fibrils was not toxic to ONS over 48 h. ONS processing of α-synuclein was observed to be different in PD cells by their increased accumulation in the cytoplasm. Processing deficits in the PD ONS were confirmed by immunoblotting with an increase in sodium dodecyl sulfate (SDS)-insoluble α-synuclein after 48 h. Conclusions: The data has illustrated the utility of primary patient ONS as a model system to understand the processing of α-synuclein. Considerable differences in α-synuclein processing were identified in PD ONS. Furthermore, the data suggests that primary patient ONS are a viable in vitro drug screening platform for α-synuclein pathology in PD.

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“…In this case, (1a) corresponds to Beer’s Law for two attenuating species. When F corresponds to a fluorescence measurement, which is undertaken in this work, the quantity f i , referred to as the fluorescence per mole of species i , represents(2, 11) where I 0 ( T ) is the excitation intensity, ϕ i ( T ) is the quantum yield associated with species i , and κ is an instrument-specific constant depending on the collection efficiency of the emitted light. The quantity ϕ i ε i is often called the brightness(12) of species i .…”

Section: Methodsmentioning

confidence: 99%

Temperature-dependent Thermodynamic and Photophysical Properties of SYTO-13 Dye Bound to DNA

DeJaco

Majikes

Liddle

et al. 2022

Preprint

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The benefits of dyes in nucleic acid assays above room temperature are limited by a nonlinear, high-dimensional relationship between fluorescence and the biophysical and chemical processes occurring in solution. To overcome these limitations, we identify an experimental regime that eliminates bias and unnecessary complexities in this relationship, and develop an experimental-computational workflow to generate the property data required to describe the dependence of fluorescence on temperature and concentration. Specifically, we exploit the temperature-cycling capabilities of real-time PCR machine, as well as the utility of numerical optimization, to determine the binding strength and molar fluorescence of the SYTO-13 dye bound to double-stranded (DS) or single-stranded (SS) DNA at more than 60 temperatures. We find that the data analysis approach is robust; it can account for significant well-to-well and plate-to-plate variation. The weak binding strength of SYTO-13 relative to SYBR Green I is consistent with previous reports of its negligible influence on PCR and melting temperature. Discriminating between molar fluorescence and binding strength clarifies the mechanism for the larger fluorescence of a DS/dye solution than a SS/dye solution; in fact, the explanation is different at high temperature than at low temperature. The temperature-dependence of the binding strength allows for ascertainment of the enthalpic and entropic contributions to the free energy, as well as the sign of the differential heat capacity of binding. The temperature-dependence of the molar fluorescence allows for calculation of the brightness (quantum yield times molar extinction coefficient) of SYTO-13 bound to DS relative to SS. The more accurate and complete description of the relationship between solution behavior and fluorescence enabled by this work can lead to more accurate selection of dyes and quantification of nucleic acids.

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Physical Sensors: Fluorescence Sensors

Cited by 7 publications

References 68 publications

Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Modelling α-synuclein processing in primary patient cells for pharmacological intervention

Temperature-dependent Thermodynamic and Photophysical Properties of SYTO-13 Dye Bound to DNA

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Physical Sensors: Fluorescence Sensors

Cited by 7 publications

References 68 publications

Quantification of Silicon (SI) and Silicon Dioxide (SiO&lt;sub&gt;2&lt;/sub&gt;) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Quantification of Silicon (SI) and Silicon Dioxide (SiO&lt;sub&gt;2&lt;/sub&gt;) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Modelling α-synuclein processing in primary patient cells for pharmacological intervention

Temperature-dependent Thermodynamic and Photophysical Properties of SYTO-13 Dye Bound to DNA

Contact Info

Product

Resources

About

Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis

Quantification of Silicon (SI) and Silicon Dioxide (SiO<sub>2</sub>) from the Nafud Desert-Al-Qassim Region, Kingdom of Saudi Arabia Using XRD Analysis