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Application of the Statistical Design for the Sorption of Lead by 𝐻𝑦𝑝𝑛𝑒𝑎 𝑣𝑎𝑙𝑒𝑛𝑡𝑖𝑎𝑒

Author(s): M. Rajasimman | K. Murugaiyan

Journal: Journal of Advanced Chemical Engineering
ISSN 2090-455X

Volume: 2;
Start page: 7 pages;
Date: 2012;
Original page

Keywords: optimization | metal | 𝐻𝑦𝑝𝑛𝑒𝑎 𝑣𝑎𝑙𝑒𝑛𝑡𝑖𝑎𝑒 | response surface methodology | red algae

In this work, sorption of lead from aqueous solution on 𝐻𝑦𝑝𝑛𝑒𝑎 𝑣𝑎𝑙𝑒𝑛𝑡𝑖𝑎𝑒, red macro algae, was investigated. Batch experiments have been carried out to find the effect of various parameters such as pH, temperature, sorbent dosage, metal concentration and contact time on the sorption of lead using 𝐻𝑦𝑝𝑛𝑒𝑎 𝑣𝑎𝑙𝑒𝑛𝑡𝑖𝑎𝑒. Response surface methodology (RSM) is employed to optimize the process parameters. Based on the central composite design, quadratic model was developed to correlate the process variables to the response. The most influential factor on each experimental design response was identified from the analysis of variance (ANOVA). The optimum conditions for the sorption of lead were found to be as follows: pH: 5.1, temperature: 36.8 °C, sorbent dosage: 5.1 g/L, metal concentration: 100 mg/L and contact time: 30 min. At these optimized conditions the maximum removal of lead was found to be 91.97%. A coefficient of determination (R²) value of 0.9548 shows the fitness of RSM in this work.
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