Exploring the Metabolome and Antimicrobial Properties of Capsicum annuum L. (Baklouti and Paprika) Dried Powders from Tunisia

Molecules, Journal Year: 2024, Volume and Issue: 29(22), P. 5236 - 5236

Published: Nov. 5, 2024

In this study, for the first time, volatile fraction from two domesticated

Language: Английский

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The Influence of Maceration and Flavoring on the Composition and Health-Promoting Properties of Roasted Coffee

Nutrients, Journal Year: 2024, Volume and Issue: 16(17), P. 2823 - 2823

Published: Aug. 23, 2024

Over the years, many methods of refining green beans have been developed, including maceration aimed at enriching coffee aroma and improving overall quality. This study to evaluate influence different (fruit wine) addition food flavors on antioxidant activity, caffeine, phenolic organic acid content, as well health-promoting properties. research showed that use in melon apple fruit pulp (100 g per 100 coffee, incubated for 24 h, roasting 230 °C, control trial roasted coffee) ensured highest polyphenol (hydroxycinnamic acids their esters—chlorogenic acids) content (in pulp—13.56 g/100 d.b. (dry bean); pulp—13.22 d.b., p < 0.05 (one-way ANOVA)) activity. Melon (92.11%, IC50 = 3.80 mg/mL extract) (84.55%, 4.14 mg/mL) α-amylase (enzyme concentration 10 μmol/mL) inhibition activity (0.5 both fruits). The reduced total chlorogenic range 4.64 6.48 increased acrylamide 5-HMF, which positively correlated with a low potential compared macerated samples control. Studies shown fruit, due its great inhibit vivo, may preventive effect type II diabetes. complements current knowledge properties flavored using methods; further should include more advanced models testing these Statistical analysis was based determination average values six measurements standard deviation, one-way ANOVA (analysis variation) Pearson correlation coefficient, Statistic 10.0 software. significance defined ≤ 0.05.

Language: Английский

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Predicting leaf nitrogen content of coffee trees using the canopy hyperspectral reflectance feature bands, vegetation index and machine learning

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Oct. 3, 2024

Language: Английский

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Advancements in civet coffee production and analytical techniques: From aroma profiling to market dynamics and ethical considerations

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 154, P. 104772 - 104772

Published: Nov. 1, 2024

Language: Английский

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MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 28, 2024

(Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's industry. Predictions of distribution potentially suitable habitats Arabica Yunnan could provide a theoretical basis cultivation and rational management this species.

Language: Английский

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