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Tracking aluminum used to purify tap water

Date:
June 21, 2016
Source:
Kobe University
Summary:
Scientists have developed a new analysis method that uses magnetic fields to quickly and accurately measure the concentration of aluminum used to purify tap water. These findings can potentially be used in developing efficient and environmentally-conscious coagulants for water treatment.
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This is an analysis using 27Al qNMR (quantitative NMR) spectroscopy. Each spectrum can be measured in just three minutes.
Credit: Kobe University

A Kobe University research group including Associate Professor Maki Hideshi (Center for Environmental Management), PhD candidate Sakata Genki (Graduate School of Engineering, Department of Chemical Science and Engineering, currently employed at Central Glass Co., Ltd.) and Professor Mizuhata Minoru (Graduate School of Engineering) have developed a new analysis method that uses magnetic fields to quickly and accurately measure the concentration of aluminum used to purify tap water. These findings can potentially be used in developing efficient and environmentally-conscious coagulants for water treatment. The findings were presented on May 29, 2016 at the 76th Japan Society for Analytical Chemistry Symposium.

In order to provide clear, safe tap water it is necessary to remove particles called colloids from raw water. These particles are very small, between nanometer order and micrometer order in diameter. Polychlorinated aluminum is used as a coagulant in the water treatment process to collect and dispose of these particles. However, aluminum ions can be toxic for fish and inhibit plant growth. The Japanese Water Works Law specifies that aluminum concentration in water must be limited to below 0.1ppm (1:10,000,000).

Various hydrolyzed species of aluminum ion can be detected in water. Until now the "ferron method," involving pigments and absorption meters, has been widely used to calculate the concentration of these compounds. However, this method has some disadvantages: the analysis takes several hours and the results often contain errors.

Associate Professor Maki's research group optimized NMR¹ equipment to develop an analysis method called "27Al qNMR (quantitative NMR) spectroscopy" that accurately measures the abundance of each aluminum compound. Notably, measurements using this analysis method can be carried out in just three minutes, and the concentration of hydrolyzed species can be calculated to within a very small margin of error in all pH ranges.

After the agglomeration mechanism of sludge including the aluminum ion was analyzed, the group discovered that when there is a high concentration of aluminum ions, after roughly 100 minutes a Keggin-type tridecameric cluster (K-Al13 ) is formed, and after a few months polymerization occurs.

As well as making it easier to measure the concentration of aluminum ions in water, this new analysis method has also clarified the structural changes aluminum ions undergo over time. These findings could potentially contribute to the development of high-performance, environmentally-conscious coagulants that can act more efficiently on colloids.

¹NMR spectroscopy

An acronym of Nuclear Magnetic Resonance. This method analyses molecular compounds at the atomic level by putting nuclei in a magnetic field and recording their resonance frequency. Most analyses use dipolar nuclei involving carbons and protons, but this method uses the quadrupolar nuclei of aluminum. This is the world's first reported example of fixed-quantity NMR spectroscopy on quadrupolar nuclei.


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Materials provided by Kobe University. Note: Content may be edited for style and length.


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Kobe University. "Tracking aluminum used to purify tap water." ScienceDaily. ScienceDaily, 21 June 2016. <www.sciencedaily.com/releases/2016/06/160621094256.htm>.
Kobe University. (2016, June 21). Tracking aluminum used to purify tap water. ScienceDaily. Retrieved May 24, 2017 from www.sciencedaily.com/releases/2016/06/160621094256.htm
Kobe University. "Tracking aluminum used to purify tap water." ScienceDaily. www.sciencedaily.com/releases/2016/06/160621094256.htm (accessed May 24, 2017).

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