Sustainable Regeneration of Mordenite Mineral as Ion Exchanger for Removal Iron and Manganese in Groundwater

Septiyani, Elda; Zevi, Yuniati; Arifianingsih, Nur Novilina

doi:10.20319/mijst.2020.61.147160

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Access to clean water is a basic need for humans [2]. One of the first step efforts that can be taken to anticipate contamination due to contaminants release into water bodies is water quality monitoring [3].…”

Section: Introductionmentioning

confidence: 99%

Measurement of Fe and Mn concentrations using image processing techniques based on color intensity approach

Daniar,

Zevi,

Hakiki

et al. 2024

E3S Web of Conf.

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Water quality monitoring is an important activity to create a good environment quality with clean and healthy water sources. Various monitoring methods that are generally used such as spectrometry-based instruments certainly have various limitations, such as expensive, requiring a lot of reagents, sensitive instruments, and takes quite a long to get measurement results. Due to the development of population growth and the increasing of water pollutant, water quality monitoring technology that cheap, practical, quick and accurate is important to be made. The main subject in this work was to develop a water quality monitoring method based on multiparameter image processing techniques. This method utilizes the approach of color intensity, light, and number/size/shape of particles. This work will be focus on iron (Fe) and manganese (Mn) concentration measurement by color intensity approach performed using ColorSlurp and Microsoft Excel in its RGB (Red, Green, Blue) matrices. The correlation between the parameter concentration and color intensity was obtained by transforming the RGB into greyscale intensity (GI) value. A linear response was observed in the Fe concentration range 0 to 2.4 mg L−1 with the highest R2 = 0.971, and in the Mn concentration range between 0 to 1.6 mg L−1 with the highest R2 = 0.9432. This work demonstrates that image processing techniques provide a great promise as water quality monitoring method.

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Section: Introductionmentioning

confidence: 99%

Measurement of Fe and Mn concentrations using image processing techniques based on color intensity approach

Daniar,

Zevi,

Hakiki

et al. 2024

E3S Web of Conf.

View full text Add to dashboard Cite

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Effect of Repetitive Recycling on the Mechanical Properties of Polypropylene Blends Based on Material Value Conservation Paradigm

Gabriel

Ananditto

2020

MSF

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Contaminated plastic waste if undergo a mechanical recycling process will have a low value. This can be overcome by repetitive implementation of Material Value Conservation (MVC) through material purity protection from design stage to the end of the material life cycle. Repetition of recycling up to eight times caused degradation of mechanical properties of plastics by up to 20%. The repetition was done on a laboratory scale with pure polypropylene as raw material. This research was conducted to overcome the degradation of plastic properties by mixing recycled plastic pellets with virgin plastic in the most optimal proportion. Plastic blends with certain compositions were recycled up to 8 times, then its mechanical properties are tested with the American Society for Testing Materials (ASTM) methods. This research revealed the opportunities to utilize the 6th recycled plastic pellets by mixing it with virgin plastic to improve its mechanical properties. Furthermore, this research shows that repetitive recycling of plastic blends with the implementation of material value conservation (MVC) could increase the value of recycled plastic pellets as raw materials and extend the life time of plastic materials.

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Sustainable Regeneration of Mordenite Mineral as Ion Exchanger for Removal Iron and Manganese in Groundwater

Cited by 2 publications

References 17 publications

Measurement of Fe and Mn concentrations using image processing techniques based on color intensity approach

Measurement of Fe and Mn concentrations using image processing techniques based on color intensity approach

Effect of Repetitive Recycling on the Mechanical Properties of Polypropylene Blends Based on Material Value Conservation Paradigm

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