Optimal Design of Experiments

Goos, Peter; Jones, Bradley

doi:10.1002/9781119974017

Cited by 321 publications

(200 citation statements)

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“…A triplicated split-plot 3 x 3 x 2 factorial experimental design model, constructed using the JMP statistical package (SAS Institute Inc., Cary, NC) [35], [36], was used (i) to study and model the impact of the factors sensor type (reference versus silanized), annealing temperature and annealing duration on the increase in sensitivity, and (ii) to identify settings for these three factors that result in large FO-SPR performance improvements. The experiment involved thus one 2-level categorical factor and two 3-level quantitative factors, the levels of which are summarized in Table 1.…”

Section: Split-plot Statistical Analysis Proceduresmentioning

confidence: 99%

Thermal annealing of gold coated fiber optic surfaces for improved plasmonic biosensing

Antohe

Schouteden

Goos

et al. 2016

Sensors and Actuators B: Chemical

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The morphological properties of thin gold (Au) films sputtered onto fiber optic (FO) substrates play an essential role in the overall performance of the sensing devices relying on surface plasmon resonance (SPR) effects. In this work, the influence of thermal treatments on the structural changes of the Au layer coated on the FO-SPR sensors, and consequently on their plasmonic biosensing performance, was systematically investigated. First, the sensors were exposed to different annealing temperatures for different durations and their sensitivity was evaluated by refractometric measurements in sucrose dilutions. The attained results suggested the optimal annealing conditions that were further validated using a split-plot experimental design statistical model. Room-temperature scanning tunneling microscopy (STM) imaging of the FO substrates revealed changes in the granular surface texture of the thermally treated Au films that could be linked to the observed increase in sensitivity of the treated sensors. The FO sensors, annealed under optimal conditions, were finally tested as label-free aptamer -based biosensors for the detection of Ara h 1 peanut allergen. Remarkably, the results demonstrated a superior biosensing performance of the thermally treated FO sensors, as the limit of detection (LOD) was improved with up to two orders of magnitude compared to a similar non-annealed FO-SPR sensor. This significant increase in sensitivity represents a major step forward in the facile and cost-effective preparation of FO-SPR sensors capable of label-free detection of various biomolecular targets.

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Section: Split-plot Statistical Analysis Proceduresmentioning

confidence: 99%

Thermal annealing of gold coated fiber optic surfaces for improved plasmonic biosensing

Antohe

Schouteden

Goos

et al. 2016

Sensors and Actuators B: Chemical

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“…Итерационный характер разработки новых модельных представлений приводит к постоянной модификации структуры дерева проекта [19]: изменению последовательности и состава этапов, 912 добавлению и удаление факторов модели, выбору другого типа для выходной характеристики -отклика модели и т.д. Для быстрого и удобного внесения подобных изменений всякое взаимодействие с деревом осуществляется через расчетную схему.…”

Section: планирование вычислительного экспериментаunclassified

Software tools for computing experiment aimed at multivariate analysis implementation

E¹,

Andrey²

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Chapter 5 of Goos and Jones (2011) describes an experimental problem in two variables, namely time (seconds) and temperature (degrees Kelvin), for a chemical reaction in an industrial setting. The aim was to refine the current operating conditions to optimize the yield of the chemical process.…”

Section: Cubic Model With Restricted Design Regionmentioning

confidence: 99%

Flexible Graphical Assessment of Experimental Designs in R: The vdg Package

Schoonees¹,

Roux²,

Coetzer³

2016

J. Stat. Soft.

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The R package vdg provides a flexible interface for producing various graphical summaries of the prediction variance associated with specific linear model specifications and experimental designs. These methods include variance dispersion graphs, fraction of design space plots and quantile plots which can assist in choosing between a catalogue of candidate experimental designs. Instead of restrictive optimization methods used in traditional software to explore design regions, vdg utilizes sampling methods to introduce more flexibility. The package takes advantage of R's modern graphical abilities via ggplot2 (Wickham 2009), adds facilities for using a variety of distance methods, allows for more flexible model specifications and incorporates quantile regressions to help with model comparison.

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Optimal Design of Experiments

Cited by 321 publications

References 0 publications

Thermal annealing of gold coated fiber optic surfaces for improved plasmonic biosensing

Thermal annealing of gold coated fiber optic surfaces for improved plasmonic biosensing

Software tools for computing experiment aimed at multivariate analysis implementation

Flexible Graphical Assessment of Experimental Designs in R: The vdg Package

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