Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network
A quantitative analysis has been conducted to determine the concentration of ammonium (NH4+) ion in solution by using Ultraviolet-visible spectrophotometry method and artificial neural network (ANN). Riegler’s reagent was used to form Riegler-NH4+ complex. The characterisations of Riegler’s reagent...
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Universiti Kebangsaan Malaysia
2011
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| Online Access: | http://journalarticle.ukm.my/2720/ http://journalarticle.ukm.my/2720/ http://journalarticle.ukm.my/2720/1/07_Tan_Ling_Ling.pdf |
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ukm-27202016-12-14T06:32:27Z http://journalarticle.ukm.my/2720/ Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network Tan, Ling Ling Musa Ahmad, Lee, Yook Heng A quantitative analysis has been conducted to determine the concentration of ammonium (NH4+) ion in solution by using Ultraviolet-visible spectrophotometry method and artificial neural network (ANN). Riegler’s reagent was used to form Riegler-NH4+ complex. The characterisations of Riegler’s reagent in solution such as photostability, pH effect, reagent concentration, dynamic range and reproducibility were conducted. The colour change of the Riegler’s reagent after reaction with NH4+ was yellow to red. The Riegler’s reagent responds linearly to NH4+ ion concentration in the range of 1-7 ppm with optimum response at pH7. Satisfactory reproducibility (2.0-2.8%) were obtained with this reagent. The effect of interfering ions that may contain in the leachate on the determination of NH4+ ion was also studied. The application of ANN enabled the extension of the useful dynamic concentration range of NH4+ ion to 1–24 ppm. The best ANN architecture for Riegler-NH4+ complex was built from 29 hidden neurons, 21,389 epochs number and 0.001% learning rate which produced sum square error (SSE) value of 0.0483 with an average calibration error of 1.4136. Universiti Kebangsaan Malaysia 2011-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2720/1/07_Tan_Ling_Ling.pdf Tan, Ling Ling and Musa Ahmad, and Lee, Yook Heng (2011) Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network. Sains Malaysiana, 40 (10). pp. 1105-1113. ISSN 0126-6039 http://www.ukm.my/jsm |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| language |
English |
| description |
A quantitative analysis has been conducted to determine the concentration of ammonium (NH4+) ion in solution by using Ultraviolet-visible spectrophotometry method and artificial neural network (ANN). Riegler’s reagent was used to form Riegler-NH4+ complex. The characterisations of Riegler’s reagent in solution such as photostability, pH effect, reagent concentration, dynamic range and reproducibility were conducted. The colour change of the Riegler’s reagent after reaction with NH4+ was yellow to red. The Riegler’s reagent responds linearly to NH4+ ion concentration in the range of 1-7 ppm with optimum response at pH7. Satisfactory reproducibility (2.0-2.8%) were obtained with this reagent. The effect of interfering ions that may contain in the leachate on the determination of NH4+ ion was also studied. The application of ANN enabled the extension of the useful dynamic concentration range of NH4+ ion to 1–24 ppm. The best ANN architecture for Riegler-NH4+ complex was built from 29 hidden neurons, 21,389 epochs number and 0.001% learning rate which produced sum square error (SSE) value of 0.0483 with an average calibration error of 1.4136. |
| format |
Article |
| author |
Tan, Ling Ling Musa Ahmad, Lee, Yook Heng |
| spellingShingle |
Tan, Ling Ling Musa Ahmad, Lee, Yook Heng Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| author_facet |
Tan, Ling Ling Musa Ahmad, Lee, Yook Heng |
| author_sort |
Tan, Ling Ling |
| title |
Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| title_short |
Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| title_full |
Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| title_fullStr |
Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| title_full_unstemmed |
Quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| title_sort |
quantitative determination of ammonium ion in aqueous environment using riegler’s solution and artificial neural network |
| publisher |
Universiti Kebangsaan Malaysia |
| publishDate |
2011 |
| url |
http://journalarticle.ukm.my/2720/ http://journalarticle.ukm.my/2720/ http://journalarticle.ukm.my/2720/1/07_Tan_Ling_Ling.pdf |
| first_indexed |
2023-09-18T19:36:49Z |
| last_indexed |
2023-09-18T19:36:49Z |
| _version_ |
1777405325835501568 |