Certain rhizobacteria can be applied to remove arsenic in the environment through bioremediation or phytoremediation. This study determines the minimum inhibitory concentration (MIC) of arsenic on identified rhizobacteria that were isolated from the roots of Ludwigia octovalvis (Jacq.) Raven. The arsenic biosorption capability of the was also analyzed. Among the 10 isolated rhizobacteria, five were Gram-positive (Arthrobacter globiformis, Bacillus megaterium, Bacillus cereus, Bacillus pumilus, and Staphylococcus lentus), and five were Gram-negative (Enterobacter asburiae, Sphingomonas paucimobilis, Pantoea spp., Rhizobium rhizogenes, and Rhizobium radiobacter). R. radiobacter showed the highest MIC of >1,500 mg/L of arsenic. All the rhizobacteria were capable of absorbing arsenic, and S. paucimobilis showed the highest arsenic biosorption capability (146.4 ± 23.4 mg/g dry cell weight). Kinetic rate analysis showed that B. cereus followed the pore diffusion model (R2 = 0.86), E. asburiae followed the pseudo-first-order kinetic model (R2 = 0.99), and R. rhizogenes followed the pseudo-second-order kinetic model (R2 = 0.93). The identified rhizobacteria differ in their mechanism of arsenic biosorption, arsenic biosorption capability, and kinetic models in arsenic biosorption.
Aluminium recycling is one of currently growing industries in Indonesia. Abundant amounts of aluminium waste leads to the emergence of new industries. The waste produced from this kind of industry is not well processed yet. Bioremediation using isolated indigenous bacteria is one of the best options from treating the aluminium recycling wastewater. Since biological processes are closely related to the bacterial growth conditions, it is important to understand the effect of pH and aluminium exposure to bacteria. Six potential bacteria strains were obtained from isolation. Vibrio alginolyticus and Brochothrix thermosphacta were shown to be resistant to the aluminium exposure, as well as the acidic conditions. Both types of bacteria were able to survive on acid medium with pH 5. The higher the concentration of aluminium, the slower bacterial growth rate achieved. The MIC value of aluminium for Vibrio alginolyticus was 425 mg/l, Brochothrix thermosphacta was 325 mg/l and Pseudomonas aeruginosa was 200 mg/l.
In this study, the removal of arsenic (As) by plant, Ludwigia octovalvis, in a pilot reed bed was optimized. A Box-Behnken design was employed including a comparative analysis of both Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) for the prediction of maximum arsenic removal. The predicted optimum condition using the desirability function of both models was 39 mg kg for the arsenic concentration in soil, an elapsed time of 42 days (the sampling day) and an aeration rate of 0.22 L/min, with the predicted values of arsenic removal by RSM and ANN being 72.6% and 71.4%, respectively. The validation of the predicted optimum point showed an actual arsenic removal of 70.6%. This was achieved with the deviation between the validation value and the predicted values being within 3.49% (RSM) and 1.87% (ANN). The performance evaluation of the RSM and ANN models showed that ANN performs better than RSM with a higher R (0.97) close to 1.0 and very small Average Absolute Deviation (AAD) (0.02) and Root Mean Square Error (RMSE) (0.004) values close to zero. Both models were appropriate for the optimization of arsenic removal with ANN demonstrating significantly higher predictive and fitting ability than RSM.
Korosi merupakan penurunan mutu logam akibat adanya reaksi elektrokimia dengan lingkungannya. Banyak faktor yang dapat menyebabkan korosi suatu material, salah satu diantaranya yakni pengaruh konsentrasi media korosi. Ada banyak metode untuk menghambat proses terjadinya korosi. Salah satu diantara banyak metode yaitu penggunaan inhibitor. Inhibitor organik salah satu jenis inhibitor yang bersifat nontoksik, murah, sudah tersedia di alam, mudah diperbaharui dan tidak merusak lingkungan. Inhibitor organik tersebut diperoleh dengan mengekstrak beberapa bahan yang ada di alam. Dalam penetilitian ini inhibitor yang digunakan antara lain daun jambu biji, daun teh, kedelai dan kopi. Inhibitor tersebut digunakan pada material pipa baja dalam media air laut buatan yang memiliki kadar salinitas 35 ‰. Metode perhitungan laju korosi baja menggunakan metode weight loss dan electroplating. Laju korosi paling kecil yakni sebesar 3.10 mpy untuk API 5L dan 1.94 mpy untuk ASTM A53 dengan inhibitor daun teh. Inhibitor yang kurang maksimal dalam menghambat laju korosi yaitu inhibitor kopi yakni 6.12 mpy untuk API 5L dan 2.66 mpy untuk ASTM A53. Nilai laju korosi spesimen API 5L dan ASTM A53 yang tidak menggunakan inhibitor masing-masing 50.26 mpy dan 3.83 mpy. Inhibitor teh memiliki nilai effisiensi mencapai 93.83%. Sedangkan daun jambu biji memiliki nilai effisiensi mencapai 93.45%. Nilai effisiensi inhibitor kedelai mencapai 91.72% dan inhibitor kopi memiliki nilai effisiensi paling rendah hanya mencapai 87.83%.
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