Modelling and optimization of metals (As, Ca, Cd, Cr, Cu, Fe, Mg, and Pb) and Ethylene glycol butyl ether in paints using response surface method

Ife Journal of Science Pub Date : 2021-11-22 DOI:10.4314/ijs.v23i2.18

A. F. Apanpa-Qasim, A. Adeyi, S. Deshmukh

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Abstract

Response surface methodology (RSM) and principal component analyses (PCA) modelling tools have been used in this study to quantitatively describe the interaction effects of more than one factor on system response for the modelling and optimization of experimental data. In Nigeria, there are no stringent policies in place by the government on paint production and this has led to unregulated paint products by producers in the commercial markets. Water-based paints currently available in Nigerian market were sampled. Experimental data of Metals (As, Ca, Cd, Cr, Cu, Fe, Mg, and Pb) and Ethylene glycol butyl ether (Volatile organic compounds (VOC)) measured using Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) and Gas Chromatography-Flame Ionisation Detector (GC-FID), respectively was used to develop a mathematical model. The principal component analyses were explained with a cumulative variance of 82% for the VOC and 76% for metals based on manufacturers. Estimated responses were compared with the experimentally determined responses and prediction capabilities of Response Surface Methodology. In the RSM, the 2 developed model had R value of 0.9569, with optimized value at 0.10 % (1000ppm) of Ethylene glycol butyl ether and concentration (ppm) ranges of As (383.0-1,930.0), Ca (614.0-10,400.0), Cd (98.0-2,000.0), Cr (10.3- 225.0), Cu (133.0-1,840.0), Fe 742.0-2,910.0, Mg (4,000.0-99,510.0), Pb (170.0-3,230.0). The correlation and optimization study employed are applicable for assessing the impact of hazardous air pollutants on indoor air quality and a good applicability in paint industries to produce products within the set limit of international standards. For the purpose of reducing sick building syndrome and protecting public health, it was important to investigate paints and sealers extensively. Keywords: VOCs; Paint; metals; Ethylene glycol butyl ether; Response Surface Method

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利用响应面法对涂料中的金属(As、Ca、Cd、Cr、Cu、Fe、Mg和Pb)和乙二醇丁醚进行建模和优化

本研究采用响应面法(RSM)和主成分分析(PCA)建模工具，定量描述了多个因素对系统响应的交互作用，从而对实验数据进行建模和优化。在尼日利亚，政府对涂料生产没有严格的政策，这导致了商业市场上生产商不受监管的涂料产品。对目前在尼日利亚市场上销售的水性涂料进行了取样。利用电感耦合等离子体-光学发射光谱仪(ICP-OES)和气相色谱-火焰离子化检测器(GC-FID)测量的金属(As, Ca, Cd, Cr, Cu, Fe, Mg, Pb)和乙二醇丁醚(挥发性有机化合物(VOC))的实验数据建立数学模型。主成分分析的累积方差对挥发性有机化合物为82%，对基于制造商的金属为76%。将估计的响应与实验确定的响应和响应面法的预测能力进行了比较。在RSM中，2个模型的R值为0.9569，其中最优值为乙二醇丁基醚浓度为0.10% (1000ppm)，浓度范围为As(383.0 ~ 1,930.0)、Ca(614.0 ~ 10,400.0)、Cd(98.0 ~ 2,000 0.0)、Cr(10.3 ~ 225.0)、Cu(133.0 ~ 1,840.0)、Fe(742.0 ~ 2,910.0)、Mg(4,000.0 ~ 99,510.0)、Pb(170.0 ~ 3,230.0)。所采用的相关性和优化研究适用于评价有害空气污染物对室内空气质量的影响，对涂料行业生产符合国际标准规定的产品具有较好的适用性。为了减少病态建筑综合症和保护公众健康，对涂料和密封剂进行广泛的研究是很重要的。关键词:挥发性有机化合物的仪器;油漆;金属;乙二醇丁醚;响应面法

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Ife Journal of Science

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