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Toward Practical Analysis of Wastewater Contaminants Employing Dual Spectroscopic Techniques

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Abstract

Water is the basic component for all living creatures, yet it is quantitatively and qualitatively wasted. Wastewater, however, is a part of the world’s storage of water which needs to be recycled in order to be reused. However, upon recycling, water needs a rapid and precise analysis in the field rather than in a laboratory. This study presents a quantitative analysis of organic contaminants in laboratory-simulated industrial wastewater for field operation. In the analysis, two techniques were contrasted: spectrophotometry and hyperspectral imaging (HSI). Ultraviolet–visible (UV–Vis) spectrophotometry is a principal analytical technique; however, it is rarely used outdoors and is less accurate in detecting low concentrations of organic dyes such as methylene blue (< 20 ppm) in water. Thus, growing demand is arising for an alternative technique to overcome the detriments of UV–Vis spectrophotometry. HSI is potentially suitable to meet this demand because it spectrally identifies and spatially images the object of interest. Moreover, HSI’s instrumentation enables itself to be employed in both indoor and outdoor applications. In this study, HSI proved to be an efficient technique for the analysis of organic dyes (methylene blue and methyl orange) in wastewater. The results of the UV–Vis spectrophotometer and HSI methods were compared using Bland and Altman’s limit of agreement. The study shows a great promise for employing HSI in the on-site analysis of industrial wastewater.

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References

  1. Hosokawa M, Suzuki S, Suzuki K, Saito T, Sudo D (2021) The relationship between changes in deoxy Hb and body composition before and after cycling exercise during unilateral lower extremity occlusion. J Phys Ther Sci 33(3):199–202

    Article  Google Scholar 

  2. Ong HL, Doong R-A, Naguib R, Chee, Lim P, Nagar AK (Eds) (2022) Artificial intelligence and environmental sustainability [Internet]. Springer Nature Singapore Pte Ltd., p 218. Available from: https://link.springer.com/bookseries/16171https://doi.org/10.1007/978-981-19-1434-8

  3. Tkaczyk A, Mitrowska K, Posyniak A (2020) Synthetic organic dyes as contaminants of the aquatic environment and their implications for ecosystems: a review. Sci Total Environ 717:137222. https://doi.org/10.1016/j.scitotenv.2020.137222

  4. Schulze S, Zahn D, Montes R, Rodil R, Quintana JB, Knepper TP et al (2019) Occurrence of emerging persistent and mobile organic contaminants in European water samples. Water Res 153:80–90

    Article  CAS  Google Scholar 

  5. Kamaru AA, Sani NS, Malek NANN (2015) Raw and surfactant-modified pineapple leaf as adsorbent for removal of methylene blue and methyl orange from aqueous solution. Desalin Water Treat 57(40):18836–18850

    Article  Google Scholar 

  6. Tan KA, Morad N, Ooi JQ (2016) Phytoremediation of methylene blue and methyl orange using Eichhornia crassipes. Int J Environ Sci Dev 7(10):724–728

    Article  CAS  Google Scholar 

  7. Khajeh M, Barkhordar A (2020) Fe3O4/graphene oxide composite for adsorption of methylene blue and methyl orange in water treatment. J Appl Spectrosc 87(4):701–707

    Article  CAS  Google Scholar 

  8. Block I, Günter C, Rodrigues AD, Paasch S, Hesemann P, Taubert A (2021) Carbon adsorbents from spent coffee for removal of methylene blue and methyl orange from water. Materials (Basel) 14(14):3996

  9. He Q, Chen H (2000) Flow injection spectrophotometric determination of anionic surfactants using methyl orange as chromogenic reagent. Fresenius J Anal Chem 367:270–274

    Article  CAS  Google Scholar 

  10. Ma J, Yu F, Zhou L, Jin L, Yang M, Luan J et al (2012) Enhanced adsorptive removal of methyl orange and methylene blue from aqueous solution by alkali-activated multiwalled carbon nanotubes. ACS Appl Mater Interfaces 4(11):5749–5760

    Article  CAS  Google Scholar 

  11. El Alouani M, Alehyen S, El Achouri M, Taibi M (2018) Removal of cationic dye - methylene blue- from aqueous solution by adsorption on fly ash-based geopolymer. J Mater Environ Sci 9(1):32–46

    Google Scholar 

  12. Morgounova E, Hackel BJ, Thomas DD (2013) Photoacoustic lifetime contrast between methylene blue monomers and self- quenched dimers as a model for dual- labeled activatable probes monomers and self-quenched dimers as a model for. J Biomed Opt 18(5):056004

  13. Darwish AAA, Rashad M, AL-Aoh HA. (2019) Methyl orange adsorption comparison on nanoparticles: Isotherm, kinetics, and thermodynamic studies. Dye Pigment [Internet] 160(August 2018):563–71. https://doi.org/10.1016/j.dyepig.2018.08.045

    Article  CAS  Google Scholar 

  14. Abuzalat O, Tantawy HR, Abdlaty R, Elfiky M, Baraka A (2021) Advances of the highly efficient and stable visible light active photocatalyst Zr(IV)-phthalate coordination polymer for the degradation of organic contaminants in water. Dalt Trans 50(24):8600–8611

  15. Naidoo S, Olaniran AO (2013) Treated wastewater effluent as a source of microbial pollution of surface water resources. Int J Environ Res Public Health 11(1):249–270

    Article  Google Scholar 

  16. Albacete P, López-Moreno A, Mena-Hernando S, Platero-Prats AE, Pérez EM, Zamora F (2019) Chemical sensing of water contaminants by a colloid of a fluorescent imine-linked covalent organic framework. Chem Commun 55(10):1382–1385

    Article  CAS  Google Scholar 

  17. Cancillo ML, Serrano A, Antón M, García JA, Vilaplana JM, de la Morena B (2005) An improved outdoor calibration procedure for broadband ultraviolet radiometers. Photochem Photobiol 81(4):860

    Article  CAS  Google Scholar 

  18. Rizk P, Al Saleh N, Younes R, Ilinca A, Khoder J (2020) Hyperspectral imaging applied for the detection of wind turbine blade damage and icing. Remote Sens Appl Soc Environ [Internet] 18(January):100291. https://doi.org/10.1016/j.rsase.2020.100291

    Article  Google Scholar 

  19. Kubicki J (2019) Remote detection of heterogeneously spread alcohol vapors in the cabins of moving vehicles. J Appl Remote Sens 13(4):044522

  20. Farrar MB, Wallace HM, Brooks P, Yule CM, Tahmasbian I, Dunn PK et al (2021) A performance evaluation of vis/nir hyperspectral imaging to predict curcumin concentration in fresh turmeric rhizomes. Remote Sens 13(9):1–20

    Article  Google Scholar 

  21. Lu B, Dao PD, Liu J, He Y, Shang J (2020) Recent advances of hyperspectral imaging technology and applications in agriculture. Remote Sens 12(16):1–44

    Article  Google Scholar 

  22. Benelli A, Cevoli C, Fabbri A (2020) In-field hyperspectral imaging: an overview on the ground-based applications in agriculture. J Agric Eng 51(3):129–139

    Article  Google Scholar 

  23. Temiz HT, Ulaş B (2021) A review of recent studies employing hyperspectral imaging for the determination of food adulteration. Photochem 1(2):125–146

    Article  Google Scholar 

  24. Boulais A, Berné O, Faury G, Deville Y (2021) Unmixing methods based on nonnegativity and weakly mixed pixels for astronomical hyperspectral datasets. Astron Astrophys 647:1–25

    Article  Google Scholar 

  25. Zulfiqar M, Ahmad M, Sohaib A, Mazzara M, Distefano S (2021) Hyperspectral imaging for bloodstain identification. Sensors 21(9):1–20

    Article  Google Scholar 

  26. Abdlaty R, Doerwald-Munoz L, Madooei A, Sahli S, Yeh S-CA, Zerubia J, et al (2018) Hyperspectral imaging and classification for grading skin erythema. Front Phys [Internet]. 6(August):1–10. Available from: https://www.frontiersin.org/article/10.3389/fphy.2018.00072/full

  27. Abdlaty R, Hayward J, Farrell T, Fang Q (2020) Skin erythema and pigmentation : a review of optical assessment techniques. Photodiagnosis Photodyn Ther [Internet] 33:102127. https://doi.org/10.1016/j.pdpdt.2020.102127

    Article  Google Scholar 

  28. Abdlaty R, Abbass MA, Awadallah AM (2021) High precision monitoring of radiofrequency ablation for liver using hyperspectral imaging. Ann Biomed Eng 49(9):2430–2440

  29. Aref MH, Abdlaty R, Abbass M, Aboughaleb IH, Nassar AA, Youssef AM (2021) Optical signature analysis of liver ablation stages exploiting spatio-spectral imaging. J Biomed Photonics Eng 7(2):1–14

    Article  Google Scholar 

  30. Riaza A, Buzzi J, García-Meléndez E, Carrère V, Müller A (2011) Monitoring the extent of contamination from acid mine drainage in the iberian pyrite belt (SW Spain) using hyperspectral imagery. Remote Sens 3(10):2166–2186

    Article  Google Scholar 

  31. Shi T, Guo L, Chen Y, Wang W, Shi Z, Li Q et al (2018) Proximal and remote sensing techniques for mapping of soil contamination with heavy metals. Appl Spectrosc Rev [Internet] 53(10):783–805. https://doi.org/10.1080/05704928.2018.1442346

    Article  Google Scholar 

  32. Abdlaty R, Gobara M, Naiem I, Mokhtar M (2020) Innovative technique for analysis of wastewater contaminants using hyperspectral imaging. J Spectr Imaging 9:1–10

    Google Scholar 

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Correspondence to Ramy Abdlaty.

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Abdlaty, R., Mokhtar, M. Toward Practical Analysis of Wastewater Contaminants Employing Dual Spectroscopic Techniques. Water Conserv Sci Eng 7, 515–523 (2022). https://doi.org/10.1007/s41101-022-00159-8

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  • DOI: https://doi.org/10.1007/s41101-022-00159-8

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