Uncertainty in CCD detectors with and without cooling devices when used for molecular fluorescence measurements

Aramburu, Itxaso; Galbán, Javier; Ostra, Miren; Ubide, Carlos; Vidal, Maider; Zuriarrain, Juan

doi:10.1039/c4ay02934h

Cited by 2 publications

(2 citation statements)

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“…Previous efforts for improvement of spectral filtering have been made in two ways: (i) searching for the best emission filter (or the best combination of excitation and emission filters) , from available “catalog” filters by trying them all and (ii) calculation of optimum filter parameters from analyte and background spectra using a computer algorithm. , In all these works, the nonlinear dependence of noise on background was disregarded and, signal-to-background ratio (SBR) was utilized instead of SNR as an optimization parameter. However, SBR is not a correct filter optimization parameter to get the best LOD; in analytical systems with strict LOD requirements the correct noise model must be taken into account. − …”

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confidence: 99%

Improvement of LOD in Fluorescence Detection with Spectrally Nonuniform Background by Optimization of Emission Filtering

2017

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The limit-of-detection (LOD) in analytical instruments with fluorescence detection can be improved by reducing noise of optical background. Efficiently reducing optical background noise in systems with spectrally nonuniform background requires complex optimization of an emission filter-the main element of spectral filtration. Here, we introduce a filter-optimization method, which utilizes an expression for the signal-to-noise ratio (SNR) as a function of (i) all noise components (dark, shot, and flicker), (ii) emission spectrum of the analyte, (iii) emission spectrum of the optical background, and (iv) transmittance spectrum of the emission filter. In essence, the noise components and the emission spectra are determined experimentally and substituted into the expression. This leaves a single variable-the transmittance spectrum of the filter-which is optimized numerically by maximizing SNR. Maximizing SNR provides an accurate way of filter optimization, while a previously used approach based on maximizing a signal-to-background ratio (SBR) is the approximation that can lead to much poorer LOD specifically in detection of fluorescently labeled biomolecules. The proposed filter-optimization method will be an indispensable tool for developing new and improving existing fluorescence-detection systems aiming at ultimately low LOD.

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confidence: 99%

Improvement of LOD in Fluorescence Detection with Spectrally Nonuniform Background by Optimization of Emission Filtering

2017

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“…They have been shown to have significant advantages as fluorescent bio-label (Boyer, Manseau, Murray, & van Veggel, 2010;Chatterjee, Rufaihah, & Zhang, 2008;Fang et al, 2014;Huang, Yu, & Chu, 2015;Ma, Liu, Han, Yang, & Liu, 2015;Tian et al, 2015) over the traditional organic fluorophores due to their attractive optical and chemical features, including low toxicity (Chatterjee, Gnanasammandhan, & Zhang, 2010;Zhang, Wu, Tang, Su, & Lv, 2014), large stokes shifts (Ahn et al, 2016), high resistance to photobleaching (Feng Wang et al, 2011), blinking, photochemical stability (H. Q. Chen, Yuan, & Wang, 2013) and the lack of both auto-fluorescence (Aramburu et al, 2015) and light scattering background (Zhou, Liu, & Li, 2012). As a result, the signal-to-background ratio and sensitivity of the detection can be greatly improved.…”

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confidence: 99%

Quantifying Aflatoxin B1 in peanut oil using fabricating fluorescence probes based on upconversion nanoparticles

Sun

Koidis

et al. 2016

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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Rare earth doped upconversion nanoparticles convert near-infrared excitation light into visible emission light. Compared to organic fluorophores and semiconducting nanoparticles, upconversion nanoparticles (UCNPs) offer high photochemical stability, sharp emission bandwidths, and large anti-Stokes shifts. Along with the significant light penetration depth and the absence of autofluorescence in biological samples under infrared excitation, these UCNPs have attracted more and more attention on toxin detection and biological labelling. Herein, the fluorescence probe based on UCNPs was developed for quantifying Aflatoxin B1 (AFB1) in peanut oil. Based on a specific immunity format, the detection limit for AFB1 under optimal conditions was obtained as low as 0.2ng·ml(-1), and in the effective detection range 0.2 to 100ng·ml(-1), good relationship between fluorescence intensity and AFB1 concentration was achieved under the linear ratios up to 0.90. Moreover, to check the feasibility of these probes on AFB1 measurements in peanut oil, recovery tests have been carried out. A good accuracy rating (93.8%) was obtained in this study. Results showed that the nanoparticles can be successfully applied for sensing AFB1 in peanut oil.

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Uncertainty in CCD detectors with and without cooling devices when used for molecular fluorescence measurements

Abstract: The uncertainty of CCDs used as detectors for fluorescence measurements was studied as a function of signal and detector temperature.

Cited by 2 publications

References 22 publications

Improvement of LOD in Fluorescence Detection with Spectrally Nonuniform Background by Optimization of Emission Filtering

Improvement of LOD in Fluorescence Detection with Spectrally Nonuniform Background by Optimization of Emission Filtering

Quantifying Aflatoxin B1 in peanut oil using fabricating fluorescence probes based on upconversion nanoparticles

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