Three-dimensional pore structure of the decellularized parsley scaffold regulates myogenic differentiation for cell cultured meat.

Decellularized plant scaffolds have been used to develop edible scaffolds for cell cultured meat because of their natural structures similar to that of mammalian tissues. However, their diverse three-dimensional (3D) porous structures may lead to differences in myogenic differentiation of skeletal muscle cells. In this study, parsley plant tissues were decellularized and modified by type A gelatin and transglutaminase while retaining, respectively, longitudinal fibrous and transverse honeycomb pore structures. The effects of the structure of the decellularized parsley scaffold on the proliferation and myogenic differentiation of C2C12 cells were investigated and the quality of cell cultured meat was evaluated. The results showed that fibrous pore structure guided cells to be arranged in parallel, whereas honeycomb pore structure connected cells in a circular pattern. After induced differentiation, the fibrous scaffolds were more inclined to form multinucleated myotubes with higher expression of myogenic genes and proteins, and the final cell-based meat contained higher total protein content. Decellularized plant scaffolds with fibrous pore structure were more suitable for myogenic differentiation of C2C12 cells, providing support to the development of edible scaffolds for cultured meat. PRACTICAL APPLICATION: This study investigated the different three-dimensional (3D) pore structure of parsley parenchyma to gain insight into how the 3D pore structure of decellularized plant scaffolds regulates myogenic differentiation, which is expected to address the unstable myogenic differentiation of skeletal muscle cells on decellularized plant scaffolds in cell culture meat production.

Diagnosis and application of rice diseases based on deep learning.

Background: Rice disease can significantly reduce yields, so monitoring and identifying the diseases during the growing season is crucial. Some current studies are based on images with simple backgrounds, while realistic scene settings are full of background noise, making this task challenging. Traditional artificial prevention and control methods not only have heavy workload, low efficiency, but are also haphazard, unable to achieve real-time monitoring, which seriously limits the development of modern agriculture. Therefore, using target detection algorithm to identify rice diseases is an important research direction in the agricultural field. Methods: In this article a total of 7,220 pictures of rice diseases taken in Jinzhai County, Lu'an City, Anhui Province were chosen as the research object, including rice leaf blast, bacterial blight and flax leaf spot. We propose a rice disease identification method based on the improved YOLOV5s, which reduces the computation of the backbone network, reduces the weight file of the model to 3.2MB, which is about 1/4 of the original model, and accelerates the prediction speed by three times. Results: Compared with other mainstream methods, our method achieves better performance with low computational cost. It solves the problem of slow recognition speed due to the large weight file and calculation amount of model when the model is deployed in mobile terminal.

Soy Protein Amyloid Fibril Scaffold for Cultivated Meat Application.

It is important to have sustainable and edible scaffolds to produce cultivated meat. In this research, three-dimensional (3D) porous scaffolds were developed by soy protein amyloid fibrils for cultivated meat applications. Food-safe biological and physical cross-linking methods using microbial transglutaminase and temperature-controlled water vapor annealing technique were employed to crosslink soy protein amyloid fibrils, resulting in the production of 3D scaffolds. The generated 3D scaffolds had pores with sizes ranging from 50 to 250 µm, porosities of 72-83%, and compressive moduli of 3.8-4.2 kPa, depending on the type of soy protein used in the process (ß-conglycinin (7S), glycinin (11S) and soy protein isolate (SPI)). When present with pepsin, these scaffolds can degrade within an hour but remain stable in phosphate-buffered saline for at least 30 days. The soy protein amyloid fibril scaffolds enabled C2C12 mouse skeletal myoblasts proliferate and differentiate without adding cell adhesive proteins or other coatings. The results demonstrate the potential of abundant and inexpensive soy protein amyloid fibrils to be utilized as scaffold materials for cultivated meat in the food industry.