On the Determination of Uncertainty and Limit of Detection in Label-Free Biosensors

Lavín, Álvaro; Vicente, José Miguel Gómez de; Holgado, Miguel; Heras, María Fe Laguna; Casquel, Rafael; Santamaría, Beatriz; Maigler, María V.; Hernández, Ana López; Ramírez, Yolanda

doi:10.3390/s18072038

Cited by 99 publications

(74 citation statements)

References 23 publications

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“…Most of the FDA approved tests are qRT-PCR, which has lower limit of detection (LoD), hence higher level of sensitivity. Limit of detection (LoD) is one of the crucial performance characteristics that describes the lowest concentration of the target that can be reliably measured by the test ( Lavín et al, 2018 ). This numerical platform can in understanding operational behavior of designed biosensors and reducing their limit of detection.…”

Section: Future Workmentioning

confidence: 99%

A computational simulation platform for designing real-time monitoring systems with application to COVID-19

Shahbazi

Jabbari

Esfahani

et al. 2021

Biosensors and Bioelectronics

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With the aim of contributing to the fight against the coronavirus disease 2019 (COVID-19), numerous strategies have been proposed. While developing an effective vaccine can take months up to years, detection of infected patients seems like one of the best ideas for controlling the situation. The role of biosensors in containing highly pathogenic viruses, saving lives and economy is evident. A new competitive numerical platform specifically for designing microfluidic-integrated biosensors is developed and presented in this work. Properties of the biosensor, sample, buffer fluid and even the microfluidic channel can be modified in this model. This feature provides the scientific community with the ability to design a specific biosensor for requested point-of-care (POC) applications. First, the validation of the presented numerical platform against experimental data and then results and discussion, highlighting the important role of the design parameters on the performance of the biosensor is presented. For the latter, the baseline case has been set on the previous studies on the biosensors suitable for SARS-CoV, which has the highest similarity to the 2019 nCoV. Subsequently, the effects of concentration of the targeted molecules in the sample, installation position and properties of the biosensor on its performance were investigated in 11 case studies. The presented numerical framework provides an insight into understanding of the virus reaction in the design process of the biosensor and enhances our preparation for any future outbreaks. Furthermore, the integration of biosensors with different devices for accelerating the process of defeating the pandemic is proposed.

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Section: Future Workmentioning

confidence: 99%

A computational simulation platform for designing real-time monitoring systems with application to COVID-19

Shahbazi

Jabbari

Esfahani

et al. 2021

Biosensors and Bioelectronics

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“…The error bars correspond to the standard uncertainty considering the wavelength resolution of the instrument and the standard deviation of n = 100 repeated measurements for each point in the measurements. 35 It can be observed that this uncertainty is about 0.05 nm.…”

Section: Resultsmentioning

confidence: 95%

Optical Vapor Sensors Based on Periodic Resonant Nanopillar Structures

et al. 2020

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In this work, it is reported for the first time the use of a network of periodic optical resonant nanopillars for sensing vapors of volatile organic components. In particular, this work evaluates the presence of methanol, ethanol, isopropanol, acetic acid, propionic acid, and toluene vapors at different working distances between the transducer and the surface of the sample in the liquid state, obtaining the sensing curve response of each one of them. In addition, it studies the thin film of liquid condensed onto the nanopillar surface, estimating their corresponding thickness value by means of numerical photonic simulations and their correlation with the corresponding vapor pressure of different specimens.

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“…LoB was determined for each assay using the set of samples without the tested target (Supplementary Table 2 ) and calculated according the formula: LOB = mean blank + 1,645 (SD blank ) 36 . LOD was calculated as: LOD = mean blank + 3,29 (SD blank ) 37 . Specificity of all assays was determined on the sets of samples not containing the target sequence detected by the tested TaqMan probe represented by the genomic DNA isolated from buccal swabs of homozygous females (Supplementary Table 2 ).…”

Section: Methodsmentioning

confidence: 99%

Detection of cell-free foetal DNA fraction in female-foetus bearing pregnancies using X-chromosomal insertion/deletion polymorphisms examined by digital droplet PCR

Svobodová

Pazourkova

Laššáková

et al. 2020

Sci Rep

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In families with X-linked recessive diseases, foetal sex is determined prenatally by detection of Y-chromosomal sequences in cell-free foetal DNA (cffDNA) in maternal plasma. The same procedure is used to confirm the cffDNA presence during non-invasive prenatal RhD incompatibility testing but there are no generally accepted markers for the detection of cffDNA fraction in female-foetus bearing pregnancies. We present a methodology allowing the detection of paternal X-chromosomal alleles on maternal background and the confirmation of female sex of the foetus by positive amplification signals. Using digital droplet PCR (ddPCR) we examined X-chromosomal INDEL (insertion/deletion) polymorphisms: rs2307932, rs16397, rs16637, rs3048996, rs16680 in buccal swabs of 50 females to obtain the population data. For all INDELs, we determined the limits of detection for each ddPCR assay. We examined the cffDNA from 63 pregnant women bearing Y-chromosome negative foetuses. The analysis with this set of INDELs led to informative results in 66.67% of examined female-foetus bearing pregnancies. Although the population data predicted higher informativity (74%) we provided the proof of principle of this methodology. We successfully applied this methodology in prenatal diagnostics in a family with Wiscott–Aldrich syndrome and in pregnancies tested for the risk of RhD incompatibility.

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On the Determination of Uncertainty and Limit of Detection in Label-Free Biosensors

Cited by 99 publications

References 23 publications

A computational simulation platform for designing real-time monitoring systems with application to COVID-19

A computational simulation platform for designing real-time monitoring systems with application to COVID-19

Optical Vapor Sensors Based on Periodic Resonant Nanopillar Structures

Detection of cell-free foetal DNA fraction in female-foetus bearing pregnancies using X-chromosomal insertion/deletion polymorphisms examined by digital droplet PCR

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