Optimization of Drying Temperature and Time for Enhancing Phytochemical Composition, Antioxidant Activity, and Sensory Properties of Selected Indigenous Spices in Nigeria

Drying is a critical postharvest operation that influences the composition and functional activity of bioactive compounds in spices. This study investigated the effects of drying temperature and time on phytochemical composition, antioxidant activity, and sensory quality of three indigenous spices (Tetrapleura tetraptera, Xylopia aethiopica, and Monodora myristica) using Response Surface Methodology (RSM). The study adopted a comparative multi-response optimization approach to identify species-specific drying conditions that simultaneously maximize phytochemical retention, antioxidant activity, and sensory quality. A Box–Behnken Design generated seventeen experimental runs, with drying temperature (50–70 °C) and time (24–36 h) as independent variables. Total phenolic, flavonoid, and terpenoid contents were quantified using validated spectrophotometric methods, while antioxidant activity was assessed through 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and ferric reducing antioxidant power (FRAP) assays. Drying conditions significantly (p < 0.05) influenced all responses, with pronounced species-dependent effects. Xylopia aethiopica dried at 70 °C for 30 h exhibited the highest total phenolic (13.12 mg GAE/100 g) and flavonoid contents (9.26 mg QE/100 g), while Monodora myristica recorded the highest terpenoid content (27.48 mg BSE/100 g) under the same conditions. The highest DPPH radical scavenging activity was also observed in X. aethiopica (16.24 µmol TE/g DW), whereas Tetrapleura tetraptera dried at 70 °C for 36 h exhibited the highest FRAP value (11.67 mg GAE/100 g). Sensory evaluation indicated that T. tetraptera dried at 70 °C for 36 h achieved the highest overall acceptability. The response surface models showed good fit and predictive reliability, with high coefficients of determination and non-significant lack of fit (p > 0.05). Drying temperature and spice type were identified as the major factors influencing the measured responses. These findings demonstrate that optimal drying conditions are species-specific and highlight the value of integrated multi-response optimization for enhancing the functional and sensory quality of indigenous spice powders.

Authors

Institutions

Publication Details

Journal
Food Science and Processing
Published
2026-06-16
DOI
https://doi.org/10.53941/fsp.2026.100010
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Drying Temperature and Time for Enhancing Phytochemical Composition, Antioxidant Activity, and Sensory Properties of Selected Indigenous Spices in Nigeria

Blessing Etuk, Sunday Peter Ukwo, Ekemini Ituen, Jaciene Peter Ienczak et al.
Food Science and Processing
Food Drying and Modeling
article

Optimization of Drying Temperature and Time for Enhancing Phytochemical Composition, Antioxidant Activity, and Sensory Properties of Selected Indigenous Spices in Nigeria

Blessing Etuk, Sunday Peter Ukwo, Ekemini Ituen, Jaciene Peter Ienczak, Enobong Umoh
article en

Abstract

Drying is a critical postharvest operation that influences the composition and functional activity of bioactive compounds in spices. This study investigated the effects of drying temperature and time on phytochemical composition, antioxidant activity, and sensory quality of three indigenous spices (Tetrapleura tetraptera, Xylopia aethiopica, and Monodora myristica) using Response Surface Methodology (RSM). The study adopted a comparative multi-response optimization approach to identify species-specific drying conditions that simultaneously maximize phytochemical retention, antioxidant activity, and sensory quality. A Box–Behnken Design generated seventeen experimental runs, with drying temperature (50–70 °C) and time (24–36 h) as independent variables. Total phenolic, flavonoid, and terpenoid contents were quantified using validated spectrophotometric methods, while antioxidant activity was assessed through 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and ferric reducing antioxidant power (FRAP) assays. Drying conditions significantly (p < 0.05) influenced all responses, with pronounced species-dependent effects. Xylopia aethiopica dried at 70 °C for 30 h exhibited the highest total phenolic (13.12 mg GAE/100 g) and flavonoid contents (9.26 mg QE/100 g), while Monodora myristica recorded the highest terpenoid content (27.48 mg BSE/100 g) under the same conditions. The highest DPPH radical scavenging activity was also observed in X. aethiopica (16.24 µmol TE/g DW), whereas Tetrapleura tetraptera dried at 70 °C for 36 h exhibited the highest FRAP value (11.67 mg GAE/100 g). Sensory evaluation indicated that T. tetraptera dried at 70 °C for 36 h achieved the highest overall acceptability. The response surface models showed good fit and predictive reliability, with high coefficients of determination and non-significant lack of fit (p > 0.05). Drying temperature and spice type were identified as the major factors influencing the measured responses. These findings demonstrate that optimal drying conditions are species-specific and highlight the value of integrated multi-response optimization for enhancing the functional and sensory quality of indigenous spice powders.

Food Science and ProcessingVol. 2(2)
Akwa Ibom State University (NG), University of Uyo (NG), Universidade Federal de Santa Catarina (BR)
Life in Land
Openalex Percentile: Top 8%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.