Abstract:The occurrence of heavy metals in industrial wastewater is unanimously considered a major concern since these pollutants cannot be chemically or biologically degraded and therefore have long residence times. Phytoremediation is one of the most widespread biotechnological applications worldwide, which consists in the use of plants to adsorb or accumulate a broad range of inorganic and organic contaminants from water, air, and soil. To improve the cost-effectiveness and sustainability of phytoremediation-based w… Show more
“…The content of macromolecules such as polysaccharides, lipids, and proteins with negatively charged groups (e.g., carboxyl, sulphate, phosphate) at the plant's surfaces are key factors that determine the binding mechanism between the positively charged metal ions and the biomass [9]. In addition, different biologicalregulated processes such as metal uptake by transmembrane proteins and/or ionic channels, expression of metalloproteins and phytochelatins, and translocation to leaves are also part of the heavy metals' removal mechanisms used by plants [10].…”
Section: Oceanography and Fisheries Open Access Journalmentioning
“…The content of macromolecules such as polysaccharides, lipids, and proteins with negatively charged groups (e.g., carboxyl, sulphate, phosphate) at the plant's surfaces are key factors that determine the binding mechanism between the positively charged metal ions and the biomass [9]. In addition, different biologicalregulated processes such as metal uptake by transmembrane proteins and/or ionic channels, expression of metalloproteins and phytochelatins, and translocation to leaves are also part of the heavy metals' removal mechanisms used by plants [10].…”
Section: Oceanography and Fisheries Open Access Journalmentioning
“…Many works [1][2][3][4][5][6][7][8][9][10][11][12] adopted phytoremediation in the wastewater treatment processes. Usually, they differ in the types of green plants and the pollutants to be removed.…”
Section: Introductionmentioning
confidence: 99%
“…The water hyacinth was used in [1][2][3][4][5] as the plant for phytoremediation. The other types of plants are water lettuce [5], lettuce [6], kale [6][7][8], bamboo species [9], ornamental plant species [10], Rhizophora mangle [11], and Salvinia biloba [12].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, the common types of the pollutants to be removed are: NO3 [1,6,10], N [2], PO4 [1], Na [3], K [3], P [4], NH3 [4,6], Zn [5,12], Pb [5,8,12], Fe [5], Cu [5,9,12], Ni [5], Cd [7,8,12].…”
Section: Introductionmentioning
confidence: 99%
“…Compared to the existing systems, our work has several distinctive approaches. First, compared to the conventional methods [1][2][3][4][5][6][7][8][9][10][11][12], our approach provides real-time monitoring of pollutant's concentration in the phytoremediation. Second, compared to the existing real-time monitoring in phytoremediation [13,14], our approach offers a simple hardware configuration and adopts a recent IoT technology.…”
This paper presents the Internet of things (IoT) technology for real-time monitoring of wastewater phytoremediation. Phytoremediation is a technique to remove pollutants from the wastewater using the plants. A conventional method to monitor the phytoremediation performance is by taking the samples of the contaminants from a site and measuring them at the laboratory. This method needs many works for data preparation and analysis. A recent development on the IoT technology may eliminate such tasks by a real-time monitoring system. In the proposed realtime monitoring system, several phytoremediation models are implemented on embedded hardware and connected to the Thingspeak IoT platform. The proposed system aims to provide a real-time monitoring system to better model the phytoremediation by examining the monitoring data time interval and fitting techniques. From the experiments, the proposed monitoring system achieves a data transfer reliability of 81.4% when the period of the data transmission is one minute, which is suitable for one-day interval real-time monitoring system. The proposed monitoring system can build a phytoremediation model using a polynomial fitting with a higher fit than the existing methods using an exponential fitting. Further, the proposed method promises a better solution in terms of the best model, the low cost, and the acceptable accuracy.
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