Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products
Honey and propolis are honeybee products that are becoming increasingly common as a result of their ability to improve human health. The optimal combination of honey and propolis for total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity were analysed for Trigona honey...
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my.um.eprints.352792022-10-17T07:56:15Z http://eprints.um.edu.my/35279/ Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products Abdullah, Hafidzul Inbrahim, M. Ahmed, Ifham Abdul Latheef Ramli, Noorul Atiqah Mhd Jalil, Abbe Maleyki Fatihah, Nurlisa A. R. Q Science (General) TP Chemical technology TX Home economics Honey and propolis are honeybee products that are becoming increasingly common as a result of their ability to improve human health. The optimal combination of honey and propolis for total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity were analysed for Trigona honey and propolis aqueous extracts using response surface methodology and a central composite design. The effect of honey (X1: 15 -16.5 g) and propolis (X2: 13.5 -15 g) on the total phenolic content (TPC, Y1), total flavonoid content (TFC, Y2), antioxidant capacity (DPPH, Y3; ABTS, Y4), and FRAP (Y5) were tested. The experimental outcomes were adequately fitted into a second-order polynomial model regarding TPC (R-2 = 0.9539, p = 0.0002), TFC (R-2 = 0.9209, p = 0.0010), antioxidant activity (DPPH, R-2 = 0.9529, p = 0.0002; ABTS, R-2 = 0.9817, p < 0.0001), and FRAP (R-2 = 0.9363, p = 0.0005). The optimal percentage compositions of honey and propolis were 15.26 g (50.43%) and 15 g (49.57%), respectively. The predicted results for TPC, TFC, DPPH (IC50), ABTS, and FRAP were 162.46 mg GAE/100 g, 2.29 mgQE/g, 14.52 mg/mL, 564.27 mu MTE/g, and 3.56 mMTE/g, respectively. The experimental outcomes were close to the predicted results: 152.06 +/- 0.55 mg GAE/100 g, 2.21 +/- 0.05 mg QE/g, 13.85 +/- 0.34 mg/mL, 555.22 +/- 36.84 mu MTE/g, and 3.71 +/- 0.02 mMTE/g, respectively. It was observed that the optimal combination of honey and propolis provided the highest antioxidant yield and can be used as functional foods, cosmetics, and medical and pharmacological ingredients. (c) All Rights Reserved Universiti Putra Malaysia 2021-12 Article PeerReviewed Abdullah, Hafidzul and Inbrahim, M. and Ahmed, Ifham Abdul Latheef and Ramli, Noorul Atiqah and Mhd Jalil, Abbe Maleyki and Fatihah, Nurlisa A. R. (2021) Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products. International Food Research Journal, 28 (6). pp. 1233-1244. ISSN 1985-4668, |
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Q Science (General) TP Chemical technology TX Home economics Abdullah, Hafidzul Inbrahim, M. Ahmed, Ifham Abdul Latheef Ramli, Noorul Atiqah Mhd Jalil, Abbe Maleyki Fatihah, Nurlisa A. R. Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
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Honey and propolis are honeybee products that are becoming increasingly common as a result of their ability to improve human health. The optimal combination of honey and propolis for total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity were analysed for Trigona honey and propolis aqueous extracts using response surface methodology and a central composite design. The effect of honey (X1: 15 -16.5 g) and propolis (X2: 13.5 -15 g) on the total phenolic content (TPC, Y1), total flavonoid content (TFC, Y2), antioxidant capacity (DPPH, Y3; ABTS, Y4), and FRAP (Y5) were tested. The experimental outcomes were adequately fitted into a second-order polynomial model regarding TPC (R-2 = 0.9539, p = 0.0002), TFC (R-2 = 0.9209, p = 0.0010), antioxidant activity (DPPH, R-2 = 0.9529, p = 0.0002; ABTS, R-2 = 0.9817, p < 0.0001), and FRAP (R-2 = 0.9363, p = 0.0005). The optimal percentage compositions of honey and propolis were 15.26 g (50.43%) and 15 g (49.57%), respectively. The predicted results for TPC, TFC, DPPH (IC50), ABTS, and FRAP were 162.46 mg GAE/100 g, 2.29 mgQE/g, 14.52 mg/mL, 564.27 mu MTE/g, and 3.56 mMTE/g, respectively. The experimental outcomes were close to the predicted results: 152.06 +/- 0.55 mg GAE/100 g, 2.21 +/- 0.05 mg QE/g, 13.85 +/- 0.34 mg/mL, 555.22 +/- 36.84 mu MTE/g, and 3.71 +/- 0.02 mMTE/g, respectively. It was observed that the optimal combination of honey and propolis provided the highest antioxidant yield and can be used as functional foods, cosmetics, and medical and pharmacological ingredients. (c) All Rights Reserved |
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Article |
author |
Abdullah, Hafidzul Inbrahim, M. Ahmed, Ifham Abdul Latheef Ramli, Noorul Atiqah Mhd Jalil, Abbe Maleyki Fatihah, Nurlisa A. R. |
author_facet |
Abdullah, Hafidzul Inbrahim, M. Ahmed, Ifham Abdul Latheef Ramli, Noorul Atiqah Mhd Jalil, Abbe Maleyki Fatihah, Nurlisa A. R. |
author_sort |
Abdullah, Hafidzul |
title |
Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
title_short |
Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
title_full |
Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
title_fullStr |
Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
title_full_unstemmed |
Optimisation of phenolic compounds and antioxidant capacity of Trigona honey and propolis using response surface methodology from fermented food products |
title_sort |
optimisation of phenolic compounds and antioxidant capacity of trigona honey and propolis using response surface methodology from fermented food products |
publisher |
Universiti Putra Malaysia |
publishDate |
2021 |
url |
http://eprints.um.edu.my/35279/ |
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1748181070220623872 |
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13.211869 |