Sustainable microgreen production through automated cultivation systems: nutritional and functional profiling via multivariate analysis

This study aimed to evaluate the performance of a fully automated microsprout production cabinet system developed with a sustainable food processing perspective and to compare the nutritional and functional properties of microsprouts produced in different growing environments. Leek, amaranth, and purslane microsprouts were grown in fully automated (confetti cabinet) and standard laboratory environments. Microsprout samples were analyzed for dry matter, protein, vitamin C, macro- and microelement contents, and total antioxidant capacity. According to the results, leek samples grown in the cabinet showed significantly higher vitamin C content than those grown in the laboratory environment (74.27 ppm vs. 62.68 ppm, p < 0.05). The highest antioxidant capacity was detected in purslane samples, with an EC50 value of 174.64 μg/mL. Furthermore, the nitrogen content was measured at high levels in all species, ranging from 6.14 to 7.62%. PCA and correlation analyses revealed significant differences in the distribution of certain micronutrients (e.g., Na, Mg, B) across different production environments. These findings demonstrate that fully automated production cabinets provide effective, sustainable, and traceable systems for producing micro sprouts with high nutritional quality, and have significant potential for future applications in functional food production.

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Journal
Frontiers in Sustainable Food Systems
Published
2025-08-12
DOI
https://doi.org/10.3389/fsufs.2025.1620622
Primary Topic
Innovations in Aquaponics and Hydroponics Systems
Type
article
Field-Weighted Citation Impact
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Sustainable microgreen production through automated cultivation systems: nutritional and functional profiling via multivariate analysis

Fatma Funda Özdüven, Funda Eryılmaz Açıkgöz, Figen Taşcı Durgut, Seydi Yıkmış
Frontiers in Sustainable Food Systems
Innovations in Aquaponics and Hydroponics Systems
article

Sustainable microgreen production through automated cultivation systems: nutritional and functional profiling via multivariate analysis

Fatma Funda Özdüven, Funda Eryılmaz Açıkgöz, Figen Taşcı Durgut, Seydi Yıkmış
article en

Abstract

This study aimed to evaluate the performance of a fully automated microsprout production cabinet system developed with a sustainable food processing perspective and to compare the nutritional and functional properties of microsprouts produced in different growing environments. Leek, amaranth, and purslane microsprouts were grown in fully automated (confetti cabinet) and standard laboratory environments. Microsprout samples were analyzed for dry matter, protein, vitamin C, macro- and microelement contents, and total antioxidant capacity. According to the results, leek samples grown in the cabinet showed significantly higher vitamin C content than those grown in the laboratory environment (74.27 ppm vs. 62.68 ppm, p < 0.05). The highest antioxidant capacity was detected in purslane samples, with an EC50 value of 174.64 μg/mL. Furthermore, the nitrogen content was measured at high levels in all species, ranging from 6.14 to 7.62%. PCA and correlation analyses revealed significant differences in the distribution of certain micronutrients (e.g., Na, Mg, B) across different production environments. These findings demonstrate that fully automated production cabinets provide effective, sustainable, and traceable systems for producing micro sprouts with high nutritional quality, and have significant potential for future applications in functional food production.

Frontiers in Sustainable Food SystemsVol. 9
Tekirdağ Namık Kemal University (TR)
Tekirdağ Namık Kemal Üniversitesi
Zero hunger
Openalex Percentile: Top 80%
Innovations in Aquaponics and Hydroponics Systems
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Sustainable microgreen production through automated cultivation systems: nutritional and functional profiling via multivariate analysis — Fatma Funda Özdüven, Funda Eryılmaz Açıkgöz, et al. · Frontiers in Sustainable Food Systems (2025) | TGRS Research Map | TGRS