Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review.

The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground-breaking technological developments have led to numerous inventions like the Internet of Things (IoT), various optical sensors, robotics, artificial intelligence (AI), big data, and cloud computing, transforming the conventional industry into a smart and sustainable egg industry, also known as Egg Industry 4.0 (EI 4.0). The EI 4.0 concept has the potential to improve automation, enhance biosecurity, promote the safeguarding of animal welfare, increase intelligent grading and quality inspection, and increase efficiency. For a sustainable Industry 4.0 transformation, it is important to analyze available technologies, the latest research, existing limitations, and prospects. This review examines the existing non-destructive optical sensing technologies for the egg industry. It provides information and insights on the different components of EI 4.0, including emerging EI 4.0 technologies for egg production, quality inspection, and grading. Furthermore, drawbacks of current EI 4.0 technologies, potential workarounds, and future trends were critically analyzed. This review can help policymakers, industrialists, and academicians to better understand the integration of non-destructive technologies and automation. This integration has the potential to increase productivity, improve quality control, and optimize resource management toward sustainable development of the egg industry.

Patterned Electrospinning: A Method of Generating Defined Fibrous Constructs Influencing Cell Adhesion and Retention.

A critical component of tissue engineering is the ability to functionally replace native tissue stroma. Electrospinning is a technique capable of forming fibrous constructs with a high surface area for increased cell-material interaction and enhanced biocompatibility. However, physical and biological properties of electrospun scaffolds are limited by design controllability on a macroscale. We developed a methodology for generating electrospun scaffolds with defined patterns and topographic features to influence physical properties and biological interactions. Five unique design electrospinning target collectors were fabricated to allow for generation of defined polymeric scaffold patterns including lines, sinusoids, squares, zigzags, and solid. Poly(lactic-co-glycolic) acid was electrospun under identical conditions utilizing these varied targets, and constructs generated were examined as to their physical configuration, mechanical and chemical properties, and their ability to foster vascular smooth muscle cell adhesion and retention at 24 h. Modifying collector designs led to significant differences in fiber target coverage ranging from 300 mm2 for solid (100% of the target area) to 217.8 mm2 for lines (72.6% of the target area). Measured fiber excess, residual open area, and contact angle (hydrophobicity) followed the same trend as fiber target coverage with respect to the collector pattern: lines > sinusoids > squares > zigzags > solid. Similarly, the line design allowed for the greatest cell adhesion and retention (258 ± 31 cells), whereas solid exhibited the lowest (150 ± 15 cells); p < 0.05. There was a strong direct correlation of cell adhesion to construct residual open area (R2 = 0.94), normalized fiber excess (R2 = 0.99), and fiber grammage (R2 = 0.72), with an inverse relationship to fiber target coverage (R2 = 0.94). Our results demonstrate the ability to utilize patterned collectors for modifying macroscopic and microscopic electrospun scaffold features, which directly impact cell adhesion and retention, offering translational utility for designing specific tissue constructs.