VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER

In recent years, there has been an increasing number of publications on microplastic abundance research in the environment as microplastics have become a major environmental problem. To quantify microplastics rapidly, accurately, and practically, the image processing technique (IPT) is one effect...

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Main Author: Hapsari Yulistyani, Farah
Format: Final Project
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/86292
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:86292
spelling id-itb.:862922024-09-17T12:31:22ZVARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER Hapsari Yulistyani, Farah Teknik saniter dan perkotaan; teknik perlindungan lingkungan Indonesia Final Project dispersant, image processing technique, microplastics, microscope, polyamide, polystyrene. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/86292 In recent years, there has been an increasing number of publications on microplastic abundance research in the environment as microplastics have become a major environmental problem. To quantify microplastics rapidly, accurately, and practically, the image processing technique (IPT) is one effective method. IPT uses live imaging and the ImageJ application to count microplastic particles in water. This method requires an appropriate dispersant to ensure that microplastic particles can be evenly dispersed and identified in the region of interest (ROI). This research focuses on determining the optimum dispersant for polystyrene (PS) and polyamide (PA) microplastics. A very strong correlation was obtained between the concentration/mass of artificial samples of PS and PA microplastics and the number of quantified particles, with an R² value>0,75 and a correlation test showing a p-value<0,05; indicating a significant linear relationship. The t-test results showed p-value>0,05 for artificial samples, indicating no significant difference between the quantification results obtained with IPT and the microscope. However, for surface water samples, IPT resulted in higher particle counts than microscope since the microscope could not identify particles <10 ?m. The t-test for surface water samples showed a p-value <0,05 for particles ?10 ?m, indicating a significant difference between quantification using IPT and the microscope due to the identification of all types of microplastics in the quantification of river samples by the microscope. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik saniter dan perkotaan; teknik perlindungan lingkungan
spellingShingle Teknik saniter dan perkotaan; teknik perlindungan lingkungan
Hapsari Yulistyani, Farah
VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
description In recent years, there has been an increasing number of publications on microplastic abundance research in the environment as microplastics have become a major environmental problem. To quantify microplastics rapidly, accurately, and practically, the image processing technique (IPT) is one effective method. IPT uses live imaging and the ImageJ application to count microplastic particles in water. This method requires an appropriate dispersant to ensure that microplastic particles can be evenly dispersed and identified in the region of interest (ROI). This research focuses on determining the optimum dispersant for polystyrene (PS) and polyamide (PA) microplastics. A very strong correlation was obtained between the concentration/mass of artificial samples of PS and PA microplastics and the number of quantified particles, with an R² value>0,75 and a correlation test showing a p-value<0,05; indicating a significant linear relationship. The t-test results showed p-value>0,05 for artificial samples, indicating no significant difference between the quantification results obtained with IPT and the microscope. However, for surface water samples, IPT resulted in higher particle counts than microscope since the microscope could not identify particles <10 ?m. The t-test for surface water samples showed a p-value <0,05 for particles ?10 ?m, indicating a significant difference between quantification using IPT and the microscope due to the identification of all types of microplastics in the quantification of river samples by the microscope.
format Final Project
author Hapsari Yulistyani, Farah
author_facet Hapsari Yulistyani, Farah
author_sort Hapsari Yulistyani, Farah
title VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
title_short VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
title_full VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
title_fullStr VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
title_full_unstemmed VARIATION OF DISPERSANTS IN MICROPLASTIC MEASUREMENT BASED ON IMAGE PROCESSING TECHNIQUES IN SURFACE WATER
title_sort variation of dispersants in microplastic measurement based on image processing techniques in surface water
url https://digilib.itb.ac.id/gdl/view/86292
_version_ 1822999491511320576