Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model
Crude extracts from cashew apple pomace (CAP) dried at different temperatures were used in High-Pressure Liquid Chromatography to quantify total alkaloids content (TAC), total flavanoids content (TFC), total saponin content (TSC) and total phenolics content (TPC). Diphenyl-1-picrylhydrazyl (DPPH) wa...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022017492 |
| _version_ | 1811206353876680704 |
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| author | Bobby Shekarau Luka Taitiya Kenneth Yuguda Meriem Adnouni Riyang Zakka Ibrahim Bako Abdulhamid Bumbyerga Garboa Gargea |
| author_facet | Bobby Shekarau Luka Taitiya Kenneth Yuguda Meriem Adnouni Riyang Zakka Ibrahim Bako Abdulhamid Bumbyerga Garboa Gargea |
| author_sort | Bobby Shekarau Luka |
| collection | DOAJ |
| description | Crude extracts from cashew apple pomace (CAP) dried at different temperatures were used in High-Pressure Liquid Chromatography to quantify total alkaloids content (TAC), total flavanoids content (TFC), total saponin content (TSC) and total phenolics content (TPC). Diphenyl-1-picrylhydrazyl (DPPH) was used to determine the antioxidant capacity (AOC) of CAP. Fourier-Transformed Infrared Spectroscopy-Attenuated Total Reflectance (FTIR-ATR) was used to identify the functional groups present in the pomace. TAC, TFC, TSC and TPC were used as inputs to model AOC using Gaussian Process Regression (GPR), and Support Vector Regression (SVR) and a coupled model was developed using the residuals of GPR and SVR. It was found that increasing drying temperature decreased TAC, TFC, TPC and AOC but TSC increased. Both GPR and SVR predicted AOC with high accuracy. Drying CAP at lower temperature preserved more bioactive compounds hence high AOC; FTIR-ATR showed that CAP has good hydration capacity and contains majorly inorganic phosphates, aliphatic hydrocarbons and primary alcohols. Model coupling enhanced AOC prediction. |
| first_indexed | 2024-04-12T03:47:07Z |
| format | Article |
| id | doaj.art-162e6c167323418c8e6d8afd96d0a62b |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-12T03:47:07Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-162e6c167323418c8e6d8afd96d0a62b2022-12-22T03:49:06ZengElsevierHeliyon2405-84402022-09-0189e10461Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) modelBobby Shekarau Luka0Taitiya Kenneth Yuguda1Meriem Adnouni2Riyang Zakka3Ibrahim Bako Abdulhamid4Bumbyerga Garboa Gargea5Department of Agricultural Engineering, Federal University Wukari, Taraba State, Nigeria; Department of Food Science and Technology, Federal University Wukari, Taraba State, Nigeria; Corresponding author at: Federal University Wukari, Nigeria.College of Environment, Hohai University, Nanjing 210098, ChinaInstitution of Refrigeration and Cryogenics, Zhejiang University, Hangzhou, 310027, ChinaDepartment of Food Science and Technology, Federal University Wukari, Taraba State, NigeriaDepartment of Computer Engineering, Federal University Wukari, Taraba State, NigeriaDepartment of Food Science and Technology, Federal University Wukari, Taraba State, NigeriaCrude extracts from cashew apple pomace (CAP) dried at different temperatures were used in High-Pressure Liquid Chromatography to quantify total alkaloids content (TAC), total flavanoids content (TFC), total saponin content (TSC) and total phenolics content (TPC). Diphenyl-1-picrylhydrazyl (DPPH) was used to determine the antioxidant capacity (AOC) of CAP. Fourier-Transformed Infrared Spectroscopy-Attenuated Total Reflectance (FTIR-ATR) was used to identify the functional groups present in the pomace. TAC, TFC, TSC and TPC were used as inputs to model AOC using Gaussian Process Regression (GPR), and Support Vector Regression (SVR) and a coupled model was developed using the residuals of GPR and SVR. It was found that increasing drying temperature decreased TAC, TFC, TPC and AOC but TSC increased. Both GPR and SVR predicted AOC with high accuracy. Drying CAP at lower temperature preserved more bioactive compounds hence high AOC; FTIR-ATR showed that CAP has good hydration capacity and contains majorly inorganic phosphates, aliphatic hydrocarbons and primary alcohols. Model coupling enhanced AOC prediction.http://www.sciencedirect.com/science/article/pii/S2405844022017492Bioactive compounds quantificationCashew apple pomaceCoupled GPR–SVRDryingGaussian Process Regression modelingPredicting antioxidant capacity |
| spellingShingle | Bobby Shekarau Luka Taitiya Kenneth Yuguda Meriem Adnouni Riyang Zakka Ibrahim Bako Abdulhamid Bumbyerga Garboa Gargea Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model Heliyon Bioactive compounds quantification Cashew apple pomace Coupled GPR–SVR Drying Gaussian Process Regression modeling Predicting antioxidant capacity |
| title | Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model |
| title_full | Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model |
| title_fullStr | Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model |
| title_full_unstemmed | Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model |
| title_short | Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR–SVR) model |
| title_sort | drying temperature dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled gaussian process regression and support vector regression gpr svr model |
| topic | Bioactive compounds quantification Cashew apple pomace Coupled GPR–SVR Drying Gaussian Process Regression modeling Predicting antioxidant capacity |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022017492 |
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