Universidad Tecnológica de Tecámac, División Químico-Biológicas, Carretera Federal México-Pachuca Km 37.5, Col. Sierra Hermosa, Tecámac, 55740, Estado de México, Mexico.
Universidad Autónoma del Estado de Hidalgo, Escuela Superior Apan, Carretera Apan-Calpulalpan Km.8, Col. Chimalpa, Apan, 43920, Hidalgo, Mexico.
Environ Sci Pollut Res Int. 2018 Aug;25(22):21286-21295. doi: 10.1007/s11356-017-0023-1. Epub 2017 Sep 6.
This work presents an experimental-theoretical strategy for a batch process for lead removal by photosynthetic consortium, conformed by algae and bacteria. Photosynthetic consortium, isolated from a treatment plant wastewater of Tecamac (Mexico), was used as inoculum in bubble column photobioreactors. The consortium was used to evaluate the kinetics of lead removal at different initial concentrations of metal (15, 30, 40, 50, and 60 mgL), carried out in batch culture with a hydraulic residence time of 14 days using Bold's Basal mineral medium. The photobioreactor was operated under the following conditions: aeration of 0.5 vvm, 80 μmol m s of photon flux density and a photoperiod light/dark 12:12. After determining the best growth kinetics of biomass and metal removal, they were tested under different ratios (30 and 60%) of wastewater-culture medium. Additionally, the biomass growth (X), nitrogen consumption (N), chemical oxygen demand (COD), and metal removal (Pb) were quantified. Achieved lead removal was 97.4% when the initial lead concentration was up to 50 mgL using 60% of wastewater. Additionally, an unstructured-type mathematical model was developed to simulate COD, X, N, and lead removal. Furthermore, a comparison between the Levenberg-Marquardt (L-M) optimization approach and Genetic Algorithms (GA) was carried out for parameter estimation. Also, it was concluded that GA has a slightly better performance and possesses better convergence and computational time than L-M. Hence, the proposed method might be applied for parameter estimation of biological models and be used for the monitoring and control process.
这项工作提出了一种用于光合生物群落（藻类和细菌）批量去除铅的实验理论策略。光合生物群落是从墨西哥特马克（Tecamac）的一个处理厂废水分离出来的，用作鼓泡柱光生物反应器中的接种物。该生物群落用于在批处理中评估不同初始金属浓度（15、30、40、50 和 60mgL）下的铅去除动力学，水力停留时间为 14 天，使用 Bold's Basal 矿物培养基。光生物反应器在以下条件下运行：通气量为 0.5vvm，光子通量密度为 80μmolm-2s-1，光暗周期为 12:12。在确定最佳生物量和金属去除生长动力学后，在不同废水-培养基比例（30%和 60%）下对其进行了测试。此外，还定量测定了生物量生长（X）、氮消耗（N）、化学需氧量（COD）和金属去除（Pb）。当初始铅浓度高达 50mgL 时，使用 60%的废水，铅去除率达到 97.4%。此外，还开发了一种非结构化数学模型来模拟 COD、X、N 和铅去除。此外，还对 Levenberg-Marquardt（L-M）优化方法和遗传算法（GA）进行了参数估计比较。还得出结论，GA 的性能略好，具有更好的收敛性和计算时间比 L-M。因此，该方法可用于生物模型的参数估计，并可用于监测和控制过程。
