Dataset on the decolorization of Naphthol Green B using a UV/sulfite system: Optimization by response surface methodology

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-10 DOI:10.1016/j.dib.2024.110924

Juan Miguel E. Caguiat , Eldric Roland U. Tiu , Adrian D. Go , Francis M. dela Rosa , Eric R. Punzalan

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引用次数: 0

Abstract

Naphthol Green B (NGB) is a synthetic azo dye widely used in various industries, including textiles and leathers. NGB poses significant environmental and ecological concerns when released into natural water systems. This paper investigates the decolorization of NGB using UV/sulfite system. The % decolorization of NGB was optimized using 3² Full Factorial Design (FFD), and the ANOVA results show that the model has a good fit for the data (R² = 99.54 %, R²_(adj) = 98.76 %) and the significant factors contributing to the % decolorization are A, B, A², and B² where A = mM sulfite and B = pH. The model predicted ≥100 % decolorization with the optimum conditions 12 mM sulfite and pH 10. An actual experiment was conducted to verify the response, resulting in 96.2 % decolorization which is in good agreement with the model.

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使用紫外线/亚硫酸盐系统对萘酚绿 B 进行脱色的数据集：响应面法优化

萘酚绿 B (NGB) 是一种合成偶氮染料，广泛用于纺织品和皮革等多个行业。当 NGB 释放到自然水系中时，会对环境和生态造成严重影响。本文利用紫外线/亚硫酸盐系统研究了 NGB 的脱色问题。方差分析结果表明，模型与数据拟合良好（R2 = 99.54 %，R2(adj) = 98.76 %），影响脱色率的重要因素有 A、B、A2 和 B2，其中 A = mM 亚硫酸盐，B = pH 值。该模型预测脱色率≥100%，最佳条件为亚硫酸盐 12 毫摩尔，pH 值 10。实际实验验证了这一反应，结果脱色率为 96.2%，与模型十分吻合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.