Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN)
Abstract Hydroxymethylfurfural (HMF) is a quality indicator, especially in foods where changes in protein-carbohydrate interactions are observed during the applied process. In this study absorbance and L*, a*, b* values of red color emerged due to the relationship between hydroxymethylfurfural (HMF)...
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Instituto de Tecnologia do Paraná (Tecpar)
2022-01-01
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| Series: | Brazilian Archives of Biology and Technology |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100512&tlng=en |
| _version_ | 1818719858879102976 |
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| author | Aysegul Besir Fehmi Yazici Mehmet Serhat Odabas |
| author_facet | Aysegul Besir Fehmi Yazici Mehmet Serhat Odabas |
| author_sort | Aysegul Besir |
| collection | DOAJ |
| description | Abstract Hydroxymethylfurfural (HMF) is a quality indicator, especially in foods where changes in protein-carbohydrate interactions are observed during the applied process. In this study absorbance and L*, a*, b* values of red color emerged due to the relationship between hydroxymethylfurfural (HMF) and resorcinol during the modified Seliwanoff test were used as input data artificial neural network (ANN) to determine the HMF concentration for the first time. A linear relationship, between HMF concentration and absorbance of red color, can be represented by equation absorbance = 0.0020 + 0.0012* concentration of HMF (mg L-1) with R2 = 99.6%, Fisher ratio: 0.18, p value of lack of fit: 0.975, correlation coefficient: 0.9960. Intra-day and inter-day precision expressed as relative standard deviation (RSD) %, were 2.35 - 3.65% and 3.16 - 4.73%, respectively. Recovery rates and RSDs were in the range of 99.34 - 100.47% and 1.58 - 3.68%. It showed high correlation compared to HPLC method used as reference method (0.998). The R2 values of ANN for estimation of HMF concentration were found 0.90 for training, 0.96 for validation, and 0.99 for testing and AARD was found 8.85%. Evaluation of the absorbance and L*, a*, b* values of the red color with artificial intelligence is a reliable way to determine the HMF concentration. |
| first_indexed | 2024-12-17T20:13:38Z |
| format | Article |
| id | doaj.art-b471375db97b472b92c9dd31abfbf194 |
| institution | Directory Open Access Journal |
| issn | 1678-4324 |
| language | English |
| last_indexed | 2024-12-17T20:13:38Z |
| publishDate | 2022-01-01 |
| publisher | Instituto de Tecnologia do Paraná (Tecpar) |
| record_format | Article |
| series | Brazilian Archives of Biology and Technology |
| spelling | doaj.art-b471375db97b472b92c9dd31abfbf1942022-12-21T21:34:11ZengInstituto de Tecnologia do Paraná (Tecpar)Brazilian Archives of Biology and Technology1678-43242022-01-016410.1590/1678-4324-2021210194Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN)Aysegul Besirhttps://orcid.org/0000-0002-6442-6807Fehmi Yazicihttps://orcid.org/0000-0001-9601-8843Mehmet Serhat Odabashttps://orcid.org/0000-0002-1863-7566Abstract Hydroxymethylfurfural (HMF) is a quality indicator, especially in foods where changes in protein-carbohydrate interactions are observed during the applied process. In this study absorbance and L*, a*, b* values of red color emerged due to the relationship between hydroxymethylfurfural (HMF) and resorcinol during the modified Seliwanoff test were used as input data artificial neural network (ANN) to determine the HMF concentration for the first time. A linear relationship, between HMF concentration and absorbance of red color, can be represented by equation absorbance = 0.0020 + 0.0012* concentration of HMF (mg L-1) with R2 = 99.6%, Fisher ratio: 0.18, p value of lack of fit: 0.975, correlation coefficient: 0.9960. Intra-day and inter-day precision expressed as relative standard deviation (RSD) %, were 2.35 - 3.65% and 3.16 - 4.73%, respectively. Recovery rates and RSDs were in the range of 99.34 - 100.47% and 1.58 - 3.68%. It showed high correlation compared to HPLC method used as reference method (0.998). The R2 values of ANN for estimation of HMF concentration were found 0.90 for training, 0.96 for validation, and 0.99 for testing and AARD was found 8.85%. Evaluation of the absorbance and L*, a*, b* values of the red color with artificial intelligence is a reliable way to determine the HMF concentration.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100512&tlng=enhydroxymethylfurfural (HMF)seliwanoff testartificial neural network (ANN) |
| spellingShingle | Aysegul Besir Fehmi Yazici Mehmet Serhat Odabas Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) Brazilian Archives of Biology and Technology hydroxymethylfurfural (HMF) seliwanoff test artificial neural network (ANN) |
| title | Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) |
| title_full | Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) |
| title_fullStr | Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) |
| title_full_unstemmed | Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) |
| title_short | Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN) |
| title_sort | estimating hydroxymethyfurfural hmf concentration via modified seliwanoff test using artificial neural network ann |
| topic | hydroxymethylfurfural (HMF) seliwanoff test artificial neural network (ANN) |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100512&tlng=en |
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