Experimental design in chromatography: A tutorial review

Hibbert, David Brynn

doi:10.1016/j.jchromb.2012.01.020

Cited by 363 publications

(209 citation statements)

References 86 publications

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“…The usage of DOE has been expanded across many industries as part of decision making process either along a new product development, manufacturing process and improvement. It is not used only in engineering areas it has been used in administration, marketing, hospitals, pharmaceutical [2], food industry [3], energy and architecture [4] [5], and chromatography [6]. DOE is applicable to physical processes as well as computer simulation models [7].…”

Section: Introductionmentioning

confidence: 99%

Design of experiments application, concepts, examples: State of the art

Duraković

2017

PEN

178

144

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Design of Experiments (DOE) is statistical tool deployed in various types of system, process and product design, development and optimization. It is multipurpose tool that can be used in various situations such as design for comparisons, variable screening, transfer function identification, optimization and robust design. This paper explores historical aspects of DOE and provides state of the art of its application, guides researchers how to conceptualize, plan and conduct experiments, and how to analyze and interpret data including examples. In addition, this paper reveals that in past 20 years application of DOE have been growing rapidly in manufacturing as well as nonmanufacturing industries. It was most popular tool in scientific areas of medicine, engineering, biochemistry, physics, computer science and counts about 50% of its applications compared to all other scientific areas. Keyword:Design of Experiments, full factorial design; fractional factorial design; product design; quality improvement;

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Section: Introductionmentioning

confidence: 99%

Design of experiments application, concepts, examples: State of the art

Duraković

2017

PEN

178

144

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“…Traditional approaches to optimisation in which one factor at a time is considered, while maintaining other factors constant, has been shown to be inefficient and, for correlated factors, incapable of producing the optimum [15]. The definitions here mostly differ from, but do not contradict, those in ISO 3534-3 [16] …”

Section: Experimental Designmentioning

confidence: 99%

Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)

Hibbert

2016

Pure and Applied Chemistry

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Abstract:Recommendations are given concerning the terminology relating to chemometrics. Building on ISO definitions of terms for basic concepts in statistics the vocabulary is concerned with mainstream chemometric methods. Where methods are used widely in science, definitions are given that are most useful to chemical applications. Vocabularies are given for general data processing, experimental design, classification, calibration and general multivariate methods.

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“…The math of the design for the five compounds mentioned above is quite extensive, it was performed according to the references using software R, only an excerpt for the 2-methyl-propanol compound will be shown as an example. 20 For the 2-methyl-propanol compound, were used eleven races: eight for the cubic points (−1 and 1) and three replicas at the midpoint (0). The integrated area values, obtained from the total ion chromatograms, were used as responses to design because they represented the amounts of MVOC compounds present in the headspace of the samples of the fermentative liquid.…”

Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

Study of Viability of Solid-Phase Microextraction, in vivo, in the Extraction of Microbial Volatile Organic Compounds Associated to the Pigment Production Process by the Monascus Fungus, in Submerged Fermentation

Schacker

Moritz

Miguel

et al. 2016

J. Braz. Chem. Soc.

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Microbial volatile organic compounds (MVOCs) are present in several production processes in biotechnology. In this study it is evaluated the viability of use of a method involving solidphase microextraction (SPME), in vivo SPME, in the extraction of MVOCs, associated with the pigment production process by the Monascus fungus. PDMS/Car/DVB (50/30 μm) fiber in the headspace mode (HS-SPME) and gas chromatography-mass spectrometry (GC-MS) were used to fermentation broth study. Seventeen compounds were found associated with the presence of the fungus, being the main ones ethanol, 2-methyl-propanol, 3-methyl-butanol, 2-methyl-butanol and 2-phenyl-ethanol. These compounds have maximum concentration of 313.87, 5.51, 2.37, 0.95 and 0.70 mg L −1 . The values of biomass and red pigment found for fermentation for ten days were 4.03 ± 0.21 g L −1 and 3.96 ± 0.17 (UA 480 ). Regular MVOC productions were observed in this study, which were useful in the prediction and control of fermentation by Monascus fungus.

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Experimental design in chromatography: A tutorial review

Cited by 363 publications

References 86 publications

Design of experiments application, concepts, examples: State of the art

Design of experiments application, concepts, examples: State of the art

Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)

Study of Viability of Solid-Phase Microextraction, in vivo, in the Extraction of Microbial Volatile Organic Compounds Associated to the Pigment Production Process by the Monascus Fungus, in Submerged Fermentation

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