Open Access
Issue
E3S Web of Conf.
Volume 485, 2024
The 7th Environmental Technology and Management Conference (ETMC 2023)
Article Number 04012
Number of page(s) 13
Section Water, Sanitation, and Hygiene (WASH)
DOI https://doi.org/10.1051/e3sconf/202448504012
Published online 02 February 2024
  1. Asian Development Bank, INDONESIA COUNTRY WATER ASSESSMENT. ASIAN DEVELOPMENT BANK, (2016). [Google Scholar]
  2. E. Septiyani, Y. Zevi, and N. N. Arifianingsih, “Sustainable Regeneration of Mordenite Minerals Ion Exchanger for Removal Iron and Manganese in Groundwater,” MATTER: International Journal of Science and Technology, vol. 6, no. 1, pp. 147–160, Jul., doi: 10.20319/mijst.2020.61.147160., (2020) [CrossRef] [Google Scholar]
  3. R. Altenburger et al., “Future water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures,” Environ Sci Eur, vol. 31, no. 1, Dec., doi: 10.1186/s12302-019-0193-1.,(2019) [CrossRef] [PubMed] [Google Scholar]
  4. APHA, Standard Methods for the Examination of Water and Wastewater, 20th ed. Washington, DC: American Public Health Association, American Water Work Association, Water Environment Federation, (1999). [Google Scholar]
  5. R. Asyahira and R. Hakiki, “The Utilization OpenCV to Measure the Water Pollutants Concentration,” Journal of Environmental Engineering and Waste Management, vol. 6, no. 2, p. 90, Oct., doi: 10.33021/jenv.v6i2.1475., (2021) [CrossRef] [Google Scholar]
  6. G. S. Luka, E. Nowak, J. Kawchuk, M. Hoorfar, and H. Najjaran, “Portable device for the detection of colorimetric assays,” R Soc Open Sci, vol. 4, no. 11, pp. 1–13, Nov., doi: 10.1098/rsos.171025., (2017) [CrossRef] [PubMed] [Google Scholar]
  7. R. Hakiki and T. Wikaningrum, “The Prospect of Digitally Enhanced Colorimetry As an Analytical Method for Water Quality Determination,” Indonesian Journal of Urban and Environmental Technology, vol. 2, no. 2, pp. 146–163, Apr., doi: 10.25105/urbanenvirotech.v2i2.4362., (2019) [CrossRef] [Google Scholar]
  8. P. Cao, Y. Zhu, W. Zhao, S. Liu, and H. Gao, “Chromaticity measurement based on the image method and its application in water quality detection,” Water (Switzerland), vol. 11, no. 11, Nov., doi: 10.3390/w11112339., (2019) [Google Scholar]
  9. J. C. Cardozo, I. D. Barbosa Segundo, E. R. V. P. Galvão, D. R. da Silva, E. V. dos Santos, and C. A. Martínez-Huitle, “Decentralized environmental applications of a smartphone-based method for chemical oxygen demand and color analysis,” Sci Rep, vol. 13, no. 1, p. 11082, Jul., doi: 10.1038/s41598-023-37126-9., (2023) [CrossRef] [PubMed] [Google Scholar]
  10. C. M. de Castro, P. Olivi, K. C. de F. Araújo, I. D. B. Segundo, E. V. dos Santos, and C. A. Martínez-Huitle, “Environmental application of a cost-effective smartphone-based method for COD analysis: Applicability in the electrochemical treatment of real wastewater,” Science of the Total Environment, vol. 855, pp. 1–7, Jan., doi: 10.1016/j.scitotenv.2022.158816., (2023) [CrossRef] [Google Scholar]
  11. G. C. Ghosh, M. J. H. Khan, T. K. Chakraborty, S. Zaman, A. H. M. E. Kabir, and H. Tanaka, “Human health risk assessment of elevated and variable iron and manganese intake with arsenic-safe groundwater in Jashore, Bangladesh,” Sci Rep, vol. 10, no. 1, Dec., doi: 10.1038/s41598-020-62187-5., (2020) [Google Scholar]
  12. S. Madhav et al., “Water Pollutants: Sources and Impact on the Environment and Human Health,” pp. 43–62,, doi: 10.1007/978-981-15-0671-0_4., (2020) [Google Scholar]
  13. A. F. Rusydi et al., “Vulnerability of groundwater to iron and manganese contamination in the coastal alluvial plain of a developing Indonesian city,” SN Appl Sci, vol. 3, no. 4, Apr., doi: 10.1007/s42452-021-04385-y., (2021) [CrossRef] [Google Scholar]
  14. S. Zoni, E. Albini, and R. Lucchini, “Neuropsychological testing for the assessment of manganese neurotoxicity: A review and a proposal,” American Journal of Industrial Medicine, vol. 50, no. 11. pp. 812–830, Nov., doi: 10.1002/ajim.20518., (2007) [CrossRef] [PubMed] [Google Scholar]
  15. A. B. Shehata, R. N. Yamani, and I. F. Tahoun, “Validation of a method for quantification of Lead, Chromium, Magnesium, Zinc &copper in human blood and serum using Atomic Absorption Spectrometry,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Nov.. doi: 10.1088/1742-6596/1065/24/242002., (2018) [Google Scholar]
  16. R. Raut and J. Shaji, “HPLC method validation for quantification of tetrahydrocurcumin in bulk drug and formulation,” Futur J Pharm Sci, vol. 7, no. 42, pp. 1–6, Dec., doi: 10.1186/s43094-021-00194-7., (2021) [CrossRef] [Google Scholar]
  17. Riyanto, Validasi dan Verifikasi Metode Uji Sesuai dengan ISO/IEC 17025 Laboratorium Pengujian dan Kalibrasi. Sleman: Penerbit Deepublish, (2014). [Google Scholar]
  18. A. S. Panggabean, H. S. Silaban, S. P. Pasaribu, and Alimuddin, “Method validation of Cd (II) determination in lubrication oil by direct dilution method using atomic absorption spectrophotometer,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Aug., pp. 1–7. doi: 10.1088/1742-6596/1277/1/012004., (2019) [Google Scholar]
  19. R. M. Napitupulu, D. Julia, and A. S. Panggabean, “Validasi Metode Penentuan Mn dalam Oli Lubrikan dengan Metode Pengenceran Langsung Menggunakan Spektrofotmeter Serapan Atom,” J. Chem. Res, vol. 6, no. 2, pp. 94–100, (2019) [Google Scholar]
  20. M. Mudjahid, Sulistiawati, R. Meidianto Asri, F. Nainu, and A. Dian Permana, “Validation of spectrophotometric method to quantify chloramphenicol in fluid and rat skin tissue mimicking infection environment: Application to in vitro release and ex vivo dermatokinetic studies from dissolving microneedle loaded microparticle sensitive bacteria,” Spectrochim Acta A Mol Biomol Spectrosc, vol. 291, pp. 1–13, Apr., doi: 10.1016/j.saa.2023.122374., (2023) [CrossRef] [PubMed] [Google Scholar]
  21. S. D. Chavan and D. M. Desai, “Analytical method validation: A brief review,” World Journal of Advanced Research and Reviews, vol. 16, no. 2, pp. 389–402, Nov., doi: 10.30574/wjarr.2022.16.2.1165., (2022) [CrossRef] [Google Scholar]
  22. S. Belouafa et al., “Statistical tools and approaches to validate analytical methods: Methodology and practical examples,” in International Journal of Metrology and Quality Engineering, EDP Sciences,. doi: 10.1051/ijmqe/2016030., (2017) [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  23. F. N. Hamidi, M. F. Zainuddin, Z. Abbas, and A. F. Ahmad, “Low cost and simple procedure to determine water turbidity with image processing,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Jul., pp. 30–34. doi: 10.1145/3132300.3132302., (2017) [Google Scholar]
  24. M. Dadi and M. Yasir, “Spectroscopy and Spectrophotometry: Principles and Applications for Colorimetric and Related Other Analysis,” in Colorimetry, IntechOpen,, pp. 1–22. doi: 10.5772/intechopen.101106., (2022) [Google Scholar]
  25. S. A. D. P. S. Jayawardhane, E. N. U. Fernando, and H. B. Tharangika, “Development and Validation of a HPLC based analytical method, towards the determination of sugar concentration in processed black tea,” Technium BioChemMed, vol. 1, no. 2, pp. 1–11, [Online]. Available: www.techniumscience.com, (2021) [Google Scholar]
  26. H. Paithankar, “HPLC Method Validation for Pharmaceuticals: A REVIEW,” International Journal of Universal Pharmacy and Bio Sciences, vol. 2, no. 4, pp. 229–240,, [Online]. Available: https://www.researchgate.net/publication/252930849., (2014) [Google Scholar]
  27. HACH Company, “Manganese Periodate Oxidation MSDS No: 363642,” [Online]. Available: http://www.hach.com., (2011) [Google Scholar]

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