Publication

Capacitance DNA bio-chips improved by new probe immobilization strategies

Résumé

Label-free DNA detection plays a crucial role in developing point-of-care biochips. Capacitance detection is apromising technology for label-free detection. However, data published in literature often show evident time drift, large standard deviation,scattered data points,and poor reproducibility. To address these problems, mercapto-hexanol or similar alkanethiols are usually considered as blocking agents. The aim of the present paper is to investigate new blocking agents to further improve DNA probe surfaces. Data from AFM,SPR, florescence microscopy, and capacitance measurements are used to investigate new lipoate and ethylene-glycolmolecules.The new surfaces offer further improvements in terms of diminished detection errors. Film structures are investigated at the nano-scale to justify the detection improvements in terms of probe surface quality.This study demonstrates the superiority of lipoate and ethylene-glycol molecules as blocking candidates when immobilizing molecular probes onto spot surfaces in label-free DNA biochip

À propos de ce résultat
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.
Concepts associés (34)
Écart type
thumb|Exemple de deux échantillons ayant la même moyenne (100) mais des écarts types différents illustrant l'écart type comme mesure de la dispersion autour de la moyenne. La population rouge a un écart type (SD = standard deviation) de 10 et la population bleue a un écart type de 50. En mathématiques, l’écart type (aussi orthographié écart-type) est une mesure de la dispersion des valeurs d'un échantillon statistique ou d'une distribution de probabilité.
Median absolute deviation
In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. For a univariate data set X1, X2, ..., Xn, the MAD is defined as the median of the absolute deviations from the data's median : that is, starting with the residuals (deviations) from the data's median, the MAD is the median of their absolute values. Consider the data (1, 1, 2, 2, 4, 6, 9).
Deviation (statistics)
In mathematics and statistics, deviation is a measure of difference between the observed value of a variable and some other value, often that variable's mean. The sign of the deviation reports the direction of that difference (the deviation is positive when the observed value exceeds the reference value). The magnitude of the value indicates the size of the difference. Errors and residuals A deviation that is a difference between an observed value and the true value of a quantity of interest (where true value denotes the Expected Value, such as the population mean) is an error.
Afficher plus
Publications associées (41)

Aerosol optical absorption coefficients at seven wavelengths in 10 min resolution measured in the Swiss container during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck, Benjamin Jérémy Laurent Heutte, Lubna Dada

This dataset contains aerosol optical absorption coefficients at seven different wavelengths (babs(λ)), averaged to 10 min time resolution, measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed ...
EPFL Infoscience2023

Climatic and Economic Background Determine the Disparities in Urbanites’ Expressed Happiness during the Summer Heat

Gabriele Manoli, Rui Yin

Climate-change-induced extreme weather events increase heat-related mortality and health risks for urbanites, which may also affect urbanites’ expressed happiness (EH) and well-being. However, the links among EH, climate, and socioeconomic factors remain u ...
2023

RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes? Monitoring

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani

Easy-to-use and accurate heart rate variability (HRV) assessments are essential in athletes??? follow-up, but artifacts may lead to erroneous analysis. Artifact detection and correction are the purpose of extensive literature and implemented in dedicated a ...
JOURNAL SPORTS SCIENCE & MEDICINE2022
Afficher plus
MOOCs associés (9)
Micro and Nanofabrication (MEMS)
Learn the fundamentals of microfabrication and nanofabrication by using the most effective techniques in a cleanroom environment.
Microstructure Fabrication Technologies I
Learn the fundamentals of microfabrication and nanofabrication by using the most effective techniques in a cleanroom environment.
Micro and Nanofabrication (MEMS)
Learn the fundamentals of microfabrication and nanofabrication by using the most effective techniques in a cleanroom environment.
Afficher plus