Leachate xenobiotics electrocatalytic degradation and simultaneous carbon quantum dots synthesis for anti-counterfeiting applications

被引:6
作者
Rajesh, R. Priyadarshini [1 ]
Saravanakumar, M. P. [1 ]
机构
[1] Vellore Inst Technol, Sch Civil Engn, Dept Environm & Water Resources Engn, Vellore 632014, India
关键词
Leachate pollutants; Stainless-steel electrodes; Electrofenton; Carbon quantum dots; Anti-counterfeiting applications; ELECTRO-FENTON TREATMENT; LANDFILL LEACHATE; ELECTROCHEMICAL PROCESSES; EMISSION; NITROGEN; REMOVAL;
D O I
10.1016/j.inoche.2023.111673
中图分类号
O61 [无机化学];
学科分类号
070301 ; 081704 ;
摘要
The leachate treatment and the management of sludge after its treatment is a big challenge due to its many toxins and pollutants. The novelty of the current work resides in our attempt to address both difficulties by treating the leachate with electrofenton using low-cost stainless steel electrodes, followed by converting the sludge generated into quantum dots suited for anti-counterfeiting applications. On the electrofenton treatment of leachate, at the optimized conditions, the percentage removal of total organic carbon (TOC), UV254, chemical oxygen demand (COD), and NH3-N was found to be 79 %, 93 %, 90 %, and 90 % respectively with less energy consumption of 0.26 KWh/KgCOD. The gas chromatography-mass spectroscopy (GC-MS), 3D fluorescence spectroscopy matrix, and UV-Vis analysis confirmed the removal of xenobiotics and dissolved organic matter (DOM). The carbon quantum dots (S-CQDs) synthesized from sludge were characterized for X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transforms infrared spectroscopy (FTIR), PL intensity (Photoluminescence), and UV-Vis. The S-CQDs are very promising in qualitative fingerprint image enhancement in terms of overall pattern, dots, and ridges and are well suited as an alternate, efficient, green anticounterfeiting material. Thus, highly polluted leachate was efficiently treated and sludge was converted into useful carbon dots with the anti-counterfeiting application.
引用
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页数:15
相关论文
共 64 条
[1]   Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge [J].
Adibimanesh, Behrouz ;
Polesek-Karczewska, Sylwia ;
Bagherzadeh, Faramarz ;
Szczuko, Piotr ;
Shafighfard, Torkan .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 56
[2]   Sulfur-doped graphitic-carbon nitride (S@g-C3N4) as bi-functional catalysts for hydrazine sensing and hydrogen production applications [J].
Ahmad, Khursheed ;
Khan, Mohd Quasim ;
Alsalme, Ali ;
Kim, Haekyoung .
SYNTHETIC METALS, 2022, 288
[3]  
[Anonymous], The National Center for Biotechnology Information advances science and health by providing access to biomedical and genomic information
[4]  
APHA, 1998, STANDARD METHODS EXA
[5]   Fabrication of fluorescent carbon nanodots from laboratory paper waste for Fe3+ions detection [J].
Athinarayanan, Jegan ;
Almaiman, Salah A. ;
Al-Harbi, Laila Naif ;
Periasamy, Vaiyapuri Subbarayan ;
Alshatwi, Ali A. .
JOURNAL OF KING SAUD UNIVERSITY SCIENCE, 2021, 33 (07)
[6]  
Bora R.R., 2020, BMC Chem. Eng., P1
[7]   Electro-Fenton and Induced Electro-Fenton as Versatile Wastewater Treatment Processes for Decontamination and Nutrient Removal without Byproduct Formation [J].
Cardenas, Luz Estefanny Quispe ;
Deptula, Parker John ;
Huerta, Cynthia Soraya ;
Zhu, Chonglin ;
Ye, Yinyin ;
Wang, Siwen ;
Yang, Yang .
ACS ES&T ENGINEERING, 2023, 3 (10) :1547-1556
[8]   Fluorescence excitation - Emission matrix regional integration to quantify spectra for dissolved organic matter [J].
Chen, W ;
Westerhoff, P ;
Leenheer, JA ;
Booksh, K .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2003, 37 (24) :5701-5710
[9]   Adsorption of UV-quenching substances (UVQS) from landfill leachate with activated carbon [J].
Deng, Yang ;
Jung, Chanil ;
Zhao, Renzun ;
Torrens, Kevin ;
Wu, Laying .
CHEMICAL ENGINEERING JOURNAL, 2018, 350 :739-746
[10]   Treatment of leachate concentrate by electrocoagulation coupled with electro-Fenton-like process: Efficacy and mechanism [J].
Ding, Jing ;
Jiang, Miao ;
Zhao, Guanshu ;
Wei, Liangliang ;
Wang, Sining ;
Zhao, Qingliang .
SEPARATION AND PURIFICATION TECHNOLOGY, 2021, 255