Optimization for detection of on-site phosphate contamination qualitatively

Saiyidah Nafisah Hashim

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Type :	article
Subject :	Q Science (General)
Main Author :	Saiyidah Nafisah Hashim
Additional Authors :	Nur Nadirah Rodzali Noor Amira Muhammad Siti Nur Azmu’i Abdullah Nur Atirah Hasmi Nur Fatin Afiqah Nor Rahim Nurul Syahniza Saharudin Siti Nor Anissa Nor Azlan Amir Arif Kamarudin
Title :	Optimization for detection of on-site phosphate contamination qualitatively

Place of Production :	Tanjong Malim
Publisher :	Fakulti Sains dan Matematik
Year of Publication :	2019
Corporate Name :	Universiti Pendidikan Sultan Idris

Abstract : Universiti Pendidikan Sultan Idris

Water pollution is a serious case when the amount of phosphate exceeds the safe level. This phenomenon will lead to eutrophication thus affecting the organisms under the water surface. Therefore, the water sample at the site area need to be tested directly so that contamination can be detected shortly. The objective of this study is to design a test kit for detection of phosphate content in water with minimum usage of reagents and water sample. Different volumes of ammonium molybdate reagent (0.5 and 1 mL) and stannous chloride (1 and 2 drops) were tested on different concentrations of phosphate. Reagents was then tested on different volume of water samples (25, 20, 15, 10 and 5 mL) and within 5 minutes, color changes were documented. It was found that the optimize reagents volume for phosphate contamination identification were 0.5 ml and 1 drop of molybdate reagent and stannous chloride, respectively. Minimum volume of water samples enough to react with reagents was at 15 ml. A phosphate test kit were then designed to test on-site phosphate contamination qualitatively. Then, the kit reading accuracy test was held on three different water samples. Quantitative analysis was also done by reading the contamination through UV-Vis spectrophotometer. It was found that there were only slightly different in the amount of phosphate content through qualitative and quantitative analysis.

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