Dataset Information

Green Production of Zero-Valent Iron (ZVI) Using Tea-Leaf Extracts for Fenton Degradation of Mixed Rhodamine B and Methyl Orange Dyes.

ABSTRACT: The danger from the content of dyes produced by textile-industry waste can cause environmental degradation when not appropriately treated. However, existing waste-treatment methods have not been effective in degrading dyes in textile waste. Zero-valent iron (ZVI), which has been widely used for wastewater treatment, needs to be developed to acquire effective green production. Tea (Camellia sinensis) leaves contain many polyphenolic compounds used as natural reducing agents. Therefore, this study aims to synthesize ZVI using biological reducing agents from tea-leaf extract and apply the Fenton method to degrade the color mixture of rhodamine B and methyl orange. The results show that the highest polyphenols were obtained from tea extract by heating to 90 °C for 80 min. Furthermore, PSA results show that ZVI had a homogeneous size of iron and tea extract at a volume ratio of 1:3. The SEM-EDS results show that all samples had agglomerated particles. The ZVI 1:1 showed the best results, with a 100% decrease in the color intensity of the dye mixture for 60 min of reaction and a degradation percentage of 100% and 66.47% for rhodamine B and methyl orange from LC-MS analysis, respectively. Finally, the decrease in COD value by ZVI was 92.11%, higher than the 47.36% decrease obtained using Fe(II).

SUBMITTER: Eddy DR

PROVIDER: S-EPMC8746258 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Green Production of Zero-Valent Iron (ZVI) Using Tea-Leaf Extracts for Fenton Degradation of Mixed Rhodamine B and Methyl Orange Dyes.

Eddy Diana Rakhmawaty DR Nursyamsiah Dian D Permana Muhamad Diki MD Solihudin Noviyanti Atiek Rostika AR Rahayu Iman I

Materials (Basel, Switzerland) 20220103 1

The danger from the content of dyes produced by textile-industry waste can cause environmental degradation when not appropriately treated. However, existing waste-treatment methods have not been effective in degrading dyes in textile waste. Zero-valent iron (ZVI), which has been widely used for wastewater treatment, needs to be developed to acquire effective green production. Tea (<i>Camellia sinensis</i>) leaves contain many polyphenolic compounds used as natural reducing agents. Therefore, thi ...[more]

PMID: 35009476

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Project description:Emerging multidrug-resistant (MDR) strains are the main challenges to the progression of new drug discovery. To diminish infectious disease-causing pathogens, new antibiotics are required while the drying pipeline of potent antibiotics is adding to the severity. Plant secondary metabolites or phytochemicals including alkaloids, phenols, flavonoids, and terpenes have successfully demonstrated their inhibitory potential against the drug-resistant pathogens. In quest of potential phytochemicals, we selected tea (Camellia sinensis) and agarwood (Aquilaria malaccensis) leaves for antimicrobial activity. Fresh tea leaves were collected in three varieties, namely, BT-6, BT-7, and BT-8, including green tea (nonfermented tea), black tea (fully fermented tea), and agarwood leaves collected from Sylhet region of Bangladesh. This study is aimed at analyzing the phytochemical constituency and antimicrobial activity of tea and agarwood leaf extracts and analyzing if there is a combined effect or synergistic activity against multidrug-resistant pathogens. The antimicrobial activity of tea and agarwood leaf extracts was analyzed against MDR pathogenic bacteria and fungus. Qualitative and quantitative phytochemical constituency profiling of these six leaf extracts was evaluated, and preliminary screening exhibited that most of the leaves contained diverse groups of metabolites (alkaloids, tannin, flavonoids, glycosides, saponins, etc.). The highest amounts of TPC (total phenolic content) (110.16 ± 0.48 μg/mg) were found in BT-7 in ethanol extracts, and BT-8 in methanol extracts possessed the highest (128.1 ± 0.43 μg/mg) TFC (total flavonoid content). Notably, green tea showed remarkable results in TPC and TFC. In antioxidant scavenging activity, BT-7 and green tea showed significant IC50 values which were 13.23 and 20.75 mg/mL, respectively. In antimicrobial assays, both 50 μL of each tea and agarwood leaf extract antimicrobial activities were examined against 50 μL of each bacterial and fungal culture. In synergistic activity, 50 μL of each type of leaf extracts was poured over the commercial antibiotics to evaluate their synergism, additive, or antagonism activity against the multidrug-resistant pathogens. In the antimicrobial activity test, green tea showed a maximum diameter (22.0 ± 1.1 mm) zone of inhibition against Klebsiella pneumoniae whereas BT-8 showed 22.0 ± 2.5 mm against Pseudomonas aeruginosa. Indeed, fresh tea BT-6 and BT-7 both showed remarkable zone of inhibition against the selected microbes including Gram-negative and Gram-positive bacteria. Besides, leaf extract also showed antimicrobial activity against pathogenic fungus Mucor circinelloides. Aiming to increase antibiotic resistance efficacy, synergistic activities were evaluated among leaf extracts and antibiotics against the selected pathogens where synergism, antagonism, and additive results were noted. Combination of BT-8 extracts with antibiotics (ceftiofur) showed the highest synergism nearly 36 mm of the zone of inhibition against Escherichia coli. Additionally, green tea with gentamicin and erythromycin also showed remarkable synergism 35 and 33 mm against Mucor circinelloides and E. coli, respectively. Tea and agarwood leaves grown in Bangladesh possess high antioxidant activity, promising antibacterial and antifungal activity, thus might provide a potential source for drug discovery.

Dataset Information

Green Production of Zero-Valent Iron (ZVI) Using Tea-Leaf Extracts for Fenton Degradation of Mixed Rhodamine B and Methyl Orange Dyes.

Publications

Green Production of Zero-Valent Iron (ZVI) Using Tea-Leaf Extracts for Fenton Degradation of Mixed Rhodamine B and Methyl Orange Dyes.

Similar Datasets

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