Uniform experimental design in chemometrics

Xu, Qingsong; Xu, Yulong; Li, Lan; Fang, Kai‐Tai

doi:10.1002/cem.3020

Cited by 21 publications

(9 citation statements)

References 55 publications

(61 reference statements)

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“…After the multiple linear regression equation of the operational parameters was established, the significance of the equation was determined using an F-test [27,28]. Table 4 shows the variance analysis of the operational-parameter linear regression equation.…”

Section: Experiments Design and Multiple Regression Model Buildingmentioning

confidence: 99%

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

et al. 2020

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The dust-collection system, as the core of a sweeper vehicle, directly inhales dust particles on the pavement. The influence of variable operational conditions on particle-separation performance was investigated using computational fluid dynamics (CFD) Euler–Lagrange multiphase model. The particle-separation performance efficiency and retention time were used to evaluate the dust-collection efficiency. The uniform design (UD) and multiple regression analysis (MRA) methods were employed to predict and optimize the effects of reverse-blowing flow rate, pressure drop, and traveling speed on separation efficiency. The results indicated that the dust-collection performance initially increased and then decreased with increasing reverse-blowing flow rate. As the pressure drop increased, there was an increase in total dust-collection efficiency. However, the efficiency decreased with increasing traveling speed. The regression model showed that the proposed approach was able to predict the particle collection efficiency accurately. In addition, the optimum operational conditions were obtained, namely a reverse-blowing flow rate of 2100 m3/h, a traveling speed of 5 km/h, and a pressure drop of 2400 Pa. The maximum particle-separation efficiency was 99.10%, which showed good agreement with the experimental results.

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Section: Experiments Design and Multiple Regression Model Buildingmentioning

confidence: 99%

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

et al. 2020

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“…Encyclopedia of Statistics 中也收录了均匀设计的内容, 参见文献 [64]. 由 Springer 出版的 Handbook of Engineering Statistics 和 International Encyclopedia of Statistical Science 都收录了均匀设计的内容, 参见文献 [65,66] [70] 在Journal of Chemometrics 发表文章回顾了均匀设计在化学领域 (如分离条件优化、中草药质量控制、指纹图谱分析、药物化学、环境和食品化学等) 的发展和各种应用.…”

Section: 均匀设计的应用unclassified

Theory and application of uniform designs

Ping¹,

GongJin

Liu³

et al. 2020

Sci. Sin.-Math.

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With the development of science and technology, the numbers of factors in experiments become larger and larger, and the relationships among factors become more and more complex, and then it is very important to organize the experiments scientifically. Orthogonal designs, uniform designs and optimal designs are the popular types of experimental designs. The main idea of uniform designs is to scatter the design points on the experimental domain uniformly. Uniform designs have many advantages such as choosing the numbers of runs flexibly, robustness for models, and suitability for different types of experimental domains. This paper reviews the theoretical development, current progress and application of uniform designs.

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“…This definition evidences clearly the utilization of chemometrics in all stages of the chemical measurement process, from definition of optimal experimental conditions, data collection, and processing of data. Chemometrics has its roots in analytical chemistry [6], but it is totally interdisciplinary and has been applied in many different areas [7], such as food sciences [8,9,10,11,12], assessment of adulteration, geographical origin [13,14,15], metabolomics [16,17,18], engineering [19,20], forensics [21,22,23,24,25], pharmaceutical studies [26,27,28,29,30], cultural studies [31,32,33], environmental chemistry [34], etc. Chemometric tools are fundamental to solve real life problems [35].…”

Section: Chemometricsmentioning

confidence: 99%

Chemometrics Approaches in Forced Degradation Studies of Pharmaceutical Drugs

Alvarenga

Carneiro

2019

Molecules

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Chemometrics is the chemistry field responsible for planning and extracting the maximum of information of experiments from chemical data using mathematical tools (linear algebra, statistics, and so on). Active pharmaceutical ingredients (APIs) can form impurities when exposed to excipients or environmental variables such as light, high temperatures, acidic or basic conditions, humidity, and oxidative environment. By considering that these impurities can affect the safety and efficacy of the drug product, it is necessary to know how these impurities are yielded and to establish the pathway of their formation. In this context, forced degradation studies of pharmaceutical drugs have been used for the characterization of physicochemical stability of APIs. These studies are also essential in the validation of analytical methodologies, in order to prove the selectivity of methods for the API and its impurities and to create strategies to avoid the formation of degradation products. This review aims to demonstrate how forced degradation studies have been actually performed and the applications of chemometric tools in related studies. Some papers are going to be discussed to exemplify the chemometric applications in forced degradation studies.

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Uniform experimental design in chemometrics

Cited by 21 publications

References 55 publications

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

Theory and application of uniform designs

Chemometrics Approaches in Forced Degradation Studies of Pharmaceutical Drugs

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