Effects of storage period and temperature on the technological properties, starch digestibility, and phenolic compounds of mung beans (Vigna radiata L.)

Ziegler, Valmor; Veeck, Iasmim de Almeida; Ugalde, Mariane Lobo; Lang, Gustavo Heinrich; Hoffmann, Jéssica Fernanda; Santos, Angela Cristina Mello dos; Postingher, Maria Eduarda; Rossi, Rochele Cassanta; Ferreira, Cristiano Dietrich

doi:10.1016/j.jspr.2020.101694

Cited by 13 publications

(1 citation statement)

References 27 publications

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“…Addressing national food security requires setting our sights on multiple factors affecting the safety of Stored Grain Ecosystems (SGEs), encompassing both abiotic and biotic factors [1,2]. Abiotic factors, such as temperature, humidity, moisture, micro airflow, and pressure, can exert considerable impacts on the safety of stored grain [3,4]. Biotic factors, including fungal, bacterial, viral pathogens, and pests, also play pivotal roles.…”

Section: Introductionmentioning

confidence: 99%

Progress and Prospective in the Development of Stored Grain Ecosystems in China: From Composition, Structure, and Smart Construction to Wisdom Methodology

Wu,

Chen

et al. 2023

Agriculture

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Food security is intrinsically linked to maintaining optimal physical health and promoting active lifestyles. Stored Grain Ecosystems (SGEs) are complex systems comprising a range of grains, microorganisms, and environmental elements. To ensure sustainable grain storage and promote food-friendly SGEs, careful regulation and monitoring of these factors are vital. This review traces the evolution of the Eco-concept of stored grain in China, focusing on micro- and macro-structural composition, the Multi-field/Re-coupling structure, and Smart Construction of SGEs, while introducing the four development lines and Wisdom Methodology of SGEs. The current status and challenges of SGEs in China are also discussed. The Eco-concept of stored grain in China has progressed through the initial exploration period, formation and practice periods, and has now entered its fourth stage, marked by a shift to include interactions of multiple biological fields. This evolution extends beyond the traditional binary relationship and offers emerging technologies greater scope for scientific and intelligent theoretical analysis of grain storage practices. The Wisdom Methodology employs a multifaceted, Mechanism and Data-driven approach, incorporating four driving methods, and is now widely recognized as a leading strategy for researching Smart Grain Systems. Digital Twin technology enables precise simulations and mappings of real-world SGEs in a virtual environment, supporting accurate assessments and early warnings for issues concerning grain conditions. Driven by Mechanism and Data, Digital Twin solutions are a pioneering trend and emerging hotspot with vast potential for enhancing the intelligence and wisdom of future grain storage processes. Overall, this review provides valuable guidance to practitioners for advancing high-quality Smart Grain Systems, enhancing sustainable and intelligent grain storage practices.

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