Abstract
Corn pericarp is a low-value byproduct of the processing industry. However, due to a disproportionately higher concentration of phytochemicals, colored corn pericarp could be a source of nutraceuticals and food additives. For the first time, purple corn pericarp (PCP) was converted to a polyphenol-rich extract containing anthocyanins, phenolic acids, and proanthocyanins using a two-pot microwave extraction technique. Besides, the microwave extraction (MAE) conditions were optimized, and response surface methodology was used to understand the association between independent variables and their responses and used further to decipher the underlying mechanisms through visualization. Plackett–Burman design (PBD) was used to screen significant extraction parameters, and further optimization was done using Box-Behnken design (BBD). Under the optimum conditions (ethanol (42.4% v/v), temperature (75 °C), and time (29 min)), total anthocyanin content (TAC), total phenolic content (TPC), and condensed tannins (CT) to the tune of 38.73 g/kg, 138.62 g/kg and 279.48 g/kg pericarp, respectively were obtained with a desirability function value of 0.838. Monomeric anthocyanins degraded and polymerized to 3-deoxyanthocyanin, whereas phenolic acids such as chlorogenic acid, caffeic acid, ferulic acid, and hesperidin increased as the microwave temperature and time increased. The MAE’s extraction yield was 38.11% higher than the conventional extraction (CE). The CE process took ~ 8.6 h, whereas MAE took ~ 0.5 h to extract the phenolics. The MAE samples had a higher TAC, TPC, CT, phenolic acids (chlorogenic acid, caffeic acid, ferulic acid, and hesperidin), total flavonoid content (TFC), and antioxidant activities than CE samples. Therefore, the valorization of PCP could contribute to the circular economy model.
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Data Availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- CE:
-
Conventional extraction
- RSM:
-
Response surface methodology
- BBD:
-
Box-Behnken design
- DPPH:
-
1,2-Diphenylpicrylhydrazyl
- PCPP:
-
Purple corn pericarp powder
- C3G:
-
Cyanidin-3-O-glucoside
- TFC:
-
Total flavonoid content
- CE:
-
Catechin equivalent
- L* :
-
Lightness
- b* :
-
Yellowness to blueness
- ΔE :
-
Total color difference
- WSI:
-
Water solubility index
- PCPE:
-
Purple corn pericarp extract
- PCPE:
-
Scanning electron microscopy
- ZP:
-
Zeta potential
- EE:
-
Epicatechin equivalent
- LoF:
-
Lack of fit
- MAE:
-
Microwave-assisted extraction
- PBD:
-
Plackett- Burman design
- TAC:
-
Total anthocyanin content
- ABTS:
-
2,2-Azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid)
- HPLC:
-
High-performance liquid chromatography
- TPC:
-
Total phenolic content
- CT:
-
Condensed tannins
- EY:
-
Extraction yield
- a* :
-
Greenness to redness
- C :
-
Chroma
- H o :
-
Hue angle
- WAI:
-
Water absorption index
- FTIR:
-
Fourier transform infrared
- PSD:
-
Particle size distribution
- PDI:
-
Poly dispersibility index,
- CUPRAC:
-
Cupric ion reducing antioxidant capacity
- TA:
-
Titrable acidity
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Acknowledgements
The authors acknowledge Prof. Mengshi Lin and Prof. Bongkosh Vardhanabhuti for their help with the FTIR and Zetasizer equipment.
Funding
This research was funded by the USDA NIFA Research Award No. 2022–69016-36101.
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Isaac Duah Boateng; Investigation, Methodology, Data curation, Software, Formal analysis, Writing the entire manuscript, and Validation. Azlin Mustapha; Supervision, Validation, Review & editing. Christopher R. Daubert; Review & editing, Validation. Lucas Kuehnel; Data curation, Ravinder Kumar; Data curation, Joseph Agliata: Data curation, Caixia Wan; Review & editing. Sherry Flint-Garcia; Review & editing. Pavel Somavat; Conceptualization, Funding acquisition, Supervision, review & editing.
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Boateng, I.D., Mustapha, A., Daubert, C.R. et al. Novel Two-pot Microwave Extraction of Purple Corn Pericarp’s Phenolics and Evaluation of the Polyphenol-rich Extract’s Product Quality, Bioactivities, and Structural Properties. Food Bioprocess Technol 16, 2668–2691 (2023). https://doi.org/10.1007/s11947-023-03072-7
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DOI: https://doi.org/10.1007/s11947-023-03072-7