Estimating Hydroxymethyfurfural (HMF) Concentration Via Modified Seliwanoff Test Using Artificial Neural Network (ANN)

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Beşir Özgeçen A., Yazıcı F., ODABAŞ M. S.

BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY, cilt.64, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1590/1678-4324-2021210194
  • Dergi Adı: BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Animal Behavior Abstracts, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Veterinary Science Database, Directory of Open Access Journals
  • Anahtar Kelimeler: hydroxymethylfurfural (HMF), seliwanoff test, artificial neural network (ANN), 5-HYDROXYMETHYL-2-FURFURAL HMF, 5-HYDROXYMETHYLFURFURAL HMF, HPLC METHOD, HONEY, CLASSIFICATION, QUANTIFICATION, CHROMATOGRAPHY, OPTIMIZATION, IONIZATION, VALIDATION
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

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 R-2 = 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 R-2 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.