Critical assessment of the delivery methods of chemical and natural postharvest preservatives for fruits and vegetables: a review.

For years, researchers have been tirelessly searching for efficient postharvest preservatives to ensure a sustainable and healthy supply chain of fresh fruits and vegetables. However, the effectiveness of preservatives is significantly influenced by delivery methods employed for preservatives. This work centers on delivery methods of diverse preservatives. It delves into the mechanisms of penetration and internalization that facilitate preservatives diffusion into fruits and vegetables. Furthermore, the study comprehensively reviews various delivery methods and their impact on postharvest quality of these fresh food. Methods include liquid surface impregnation (soaking, vacuum infiltration, spraying) and gaseous fumigation. Additionally, unconventional delivery measures, such as fruit stem delivery, microbubble, and edible coating, are discussed in detail for the first time. It is expected that our work will provide inspiration for future development in academia, industry, and supervision.Through a comprehensive review on preservative delivery methods in fruits and vegetables preservation, it becomes evident that majority of existing studies concentrate on the development and mechanisms of preservatives. However, a notable gap lies in comparative analysis of different delivery methods, despite the direct impact of delivery methods on preservation outcomes. Additionally, emerging delivery techniques have displayed promising potential in enhancing delivery efficiency and likewise preservation effectiveness.

Preservative delivery methods (soaking, vacuum infiltration, spraying, fumigation) directly impact their effectiveness.Delivery efficiency is linked to fruit epidermis, including cuticle, intercellular spaces, and stomata.Research uses varied delivery methods, concentrations, and times for preserving different fruits.Promising preservative delivery methods: microbubble, fruit stem delivery, and edible coating.

Recent advances in Zizania latifolia: A comprehensive review on phytochemical, health benefits and applications that maximize its value.

Zizania latifolia is an aquatic and medicinal plant with a long history of development in China and the East Asian region. The smut fungus "Ustilago esculenta" parasitizes Z. latifolia and induces culm expansion to form a vegetable named Jiaobai, which has a unique taste and nutritional attributes. However, the postharvest quality of water bamboo shoots is still a big challenge for farmers and merchants. This paper traced the origin, development process, and morphological characteristics of Z. latifolia. Subsequently, the compilation of the primary nutrients and bioactive substances are presented in context to their effects on ecology a postharvest storage and preservation methods. Furthermore, the industrial, environmental, and material science applications of Z. latifolia in the fields of industry were discussed. Finally, the primary objective of the review proposes future directions for research to support the development of Z. latifolia industry and aid in maximizing its value. To sum up, Z. latifolia, aside from its potential as material it can be utilized to make different productions and improve the existing applications. This paper provides an emerging strategy for researchers undertaking Z. latifolia.

Publisher Correction: A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.

This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the "trichotomy" observed in degree distributions, based on which closed-form solutions can be derived. Important special cases of the proposed unified framework are those classical models, including Poisson, Exponential, Power-law distributed networks. Both simulation and experimental results demonstrate a good match of the proposed model with real datasets, showing its superiority over the classical models. Implications of the model to various applications including citation analysis, online social networks, and vehicular networks design, are also discussed in the paper.