Kajian Isoterm Adsorpsi Linear Alkilbenzena Sulfonate (LAS) dalam Limbah Cair Detergen Menggunakan Biosorben Ampas Kopi dan Ampas Kelapa

Eksergi Pub Date : 2023-07-03 DOI:10.31315/e.v20i2.9955
Mimin Septiani, Zakiya Darajat, Muhammad Arham Yunus, Maria Assumpta Nogo Ole, Zuhrotul Fikri Ilma
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Abstract

One of the efforts to minimize the impact of detergent waste pollution is by adsorption using coffee dregs and coconut dregs adsorbents. The purpose of this study was to determine the optimum mass of coffee grounds and coconut pulp as adsorbents, to compare the effectiveness of their absorption in decreasing levels of Linear Alkyl Benzene Sulfonate, and to study their adsorption isotherm models. This research was conducted in batches with variations in the mass of each adsorbent, namely 1 gram, 2 grams, 3 grams, 4 grams and 5 grams. This research was conducted in batches with variations in the mass of each adsorbent, namely 1 gram, 2 grams, 3 grams, 4 grams and 5 grams. The detergent waste samples were contacted with the adsorbent for 30 minutes and then the absorption capacity was tested using the Methylene Blue test method. The results showed that the optimum absorption of LAS content from coffee grounds and coconut pulp adsorbents occurred at a mass of 2 grams with the greatest increase in absorption efficiency index Coconut dregs adsorbent is more effective than coffee dregs because it can absorb up to 37%, while coffee dregs are only 10% with the same adsorbent mass of 5 grams. The adsorption isotherm model of the 2 types of adsorbents refers to the Langmuir equilibrium with R2 values for coffee grounds 0.8651 and coconut pulp 0.9868.
Coffee Amp Biosorben和Coffee安培法测定洗涤剂废液中烷基苯磺酸钠(LAS)的线性吸附
利用咖啡渣和椰子渣吸附剂进行吸附是减少洗涤剂废物污染影响的一种方法。本研究的目的是确定咖啡渣和椰子浆作为吸附剂的最佳质量,比较它们在降低线性烷基苯磺酸水平时的吸附效果,并研究它们的吸附等温线模型。本研究以不同吸附剂的质量分别为1克、2克、3克、4克和5克的批次进行。本研究以不同吸附剂的质量分别为1克、2克、3克、4克和5克的批次进行。将洗涤剂废样与吸附剂接触30分钟,用亚甲基蓝测试法测试吸附剂的吸附能力。结果表明,最优吸收LAS内容从咖啡渣和椰浆吸附剂发生在2克的质量提高吸收效率指数最大的椰子渣滓吸附剂比咖啡渣更有效,因为它能吸收高达37%,而咖啡渣滓只有10%相同的吸附剂的质量5克。两种吸附剂的吸附等温线模型为Langmuir平衡,咖啡渣和椰子浆的R2值分别为0.8651和0.9868。
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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