Umjetna inteligencija u analizi mikroplastičnih onečišćivala

undergraduate thesis

• Title (english): Artificial intelligence in analysis of microplastic pollutants
• Author: Katarina Stipković
• Mentor: Šime Ukić (mentor)
• Committee member: Šime Ukić (predsjednik povjerenstva)
• Committee member: Dajana Kučić Grgić (član povjerenstva)
• Committee member: Matija Cvetnić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Chemical Engineering and Technology; Zagreb
• Defense date and country: 2020-09-09, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Chemistry

Abstract

Sa sve većom upotrebom plastike dolazi i do nagomilavanja plastičnog otpada koji nerijetko završava u okolišu, a posebice u vodama. U zadnjih nekoliko godina istraživanja su usmjerena prema pronalasku načina detekcije i karakterizacije sićušnih čestica plastike pod nazivom mikroplastika koje predstavljaju globalni ekološki problem. Negativni utjecaj mikroplastike ogleda se u lakom ulasku u hranidbeni lanac te potencijalnoj toksičnosti. Dosadašnje metode detekcije su konvencionalne analitičke metode koje nažalost nemaju veliku učinkovitost. Veliki nedostatak takvih metoda je i dugo vrijeme provedbe analize kao i mogućnost ljudske pogreške. Kako bi se navedeni problemi izbjegli, sve češće se u karakterizaciji upotrebljava umjetna inteligencija. Cilj ovog rada je dati pregled metode umjetne inteligencije koje se koriste u detekciji i karakterizaciji mikroplastičnih čestica.

Abstract (english)

Increased use of plastics, characteristic for modern society, resulted with accumulation of plastic waste which often ends in the environment, especially water. In recent years, the researches have been focused on finding a way to detect and characterize small plastic particles called microplastics which have become a global eco-problem. Microplastics can infiltrate food chains very easy and is potentially toxic for organisms. Current detection are conventional analytical methods which do not provide high efficiency. Also, a major deficiencies of these methods are relatively long analysis time and the possibility of human error. Artificial intelligence (AI), whose application in characterization of microplastics is becoming frequent, might be a solution for these problems. The aim of this paper is to present AI methods applied in detection and characterization of microplastic particles.

• Keywords: mikroplastika; okoliš; analiza; umjetna inteligencija
• Keywords (english): microplastics; environment; analysis; artificial intelligence
• Language: croatian
• URN:NBN: urn:nbn:hr:149:676533
• Project: Number: IP-2019-04-9661; Title: Primjena naprednih tehnologija obrade voda za uklanjanje mikroplastike; Title: Advanced Water Treatment Technologies for Microplastics Removal; Acronym: AdWaTMiR; Leader: Tomislav Bolanča; Jurisdiction: Croatia; Funder: HRZZ; Funding stream: IP
• Study programme: Title: Applied Chemistry - Undergraduate study; specializations in: Environmental chemistry and green technologies, Advanced materials and technologies, Applied organic chemistry; Course: Environmental chemistry and green technologies; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) primijenjene kemije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) primijenjene kemije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access; Embargo expiration date: 2020-10-01
• Created on: 2023-05-08 15:56:21