Abstract Egg waste is a major contributor to global food waste, accounting for 15% of discarded food in the United States. Typically, eggs have a shorter shelf life at room temperature and are preserved in refrigeration from production to consumption. However, maintaining constant refrigeration is energy‐intensive and expensive. Here, a bionanocomposite coating has been developed that incorporates each element of eggs – egg white, yolk, and eggshell – to increase the shelf life of fresh eggs without requiring further refrigeration. The quality of eggs has been successfully preserved for up to three weeks at room temperature. The coated eggs maintain the highest grade (AA) and exhibit improved Haugh Unit (HU), Yolk Index (YI), and pH compared to uncoated eggs. The coating reduces weight loss by ≈37% with an increase in HU (≈12.5%) and YI (≈13.9%). Morphological analysis reveals strong adhesion of the coating to the eggshell surface, showcasing promising barrier properties. The coating demonstrates an optimal combination of oxygen permeability (≈12.2 cm3 µm m−2 d−1 kPa−1) and water vapor transmission (≈31.5 g mm m−2per day) with excellent antimicrobial properties. Overall, this approach of repurposing eggs into a high‐performance coating shows a promising viable alternative to refrigeration and a solution to combat egg waste.
more »
« less
What Philosophers Can Learn from Agrotechnology: Agricultural Metaphysics, Sustainable Egg Production Standards as Ontologies, and Why and How Canola Exists
Agriculture is defined normatively and, as such, is an area of research and practice where values are an inextricable constituent of research, where facts and values elide, and normative constraints generate new ethical categories. While discussions of normativity are part and parcel within agricultural ethics and play a prominent role in ethical discussions, I suggest that other areas of agricultural philos-ophy such as agricultural metaphysics or ontologies present valuable case studies for philosophical discussion. A series of case studies focusing on how products are clas-sified, graded, and measured illustrate conceptions of existence, causal relationships, and practice-oriented notions of category-making distinctive of agricultural practice. The first of these case studies shines a light on the process of knowledge integration in agriculture. I show how innovative integration, a process discussed within socially sustainable egg production, is an ineliminably normative process. The second case study, and the main focus of the chapter, concerns the normative role of agricultural standards. I discuss how standards and classes in use within egg production systems and the development and measuring techniques make AA eggs and transformed a highly toxic oilseed rape (used as a machine lubricant) into the non-toxic food-grade agricultural commodity, canola. I contend agricultural products like eggs, peanut butter, and canola oil are constituted by prescribed standards (like AA eggs and double-zero canola) that define not only the product, but also the activities related to its production and the practices that producers perform. Because standards and standardization define the categories of not only agricultural products but also agri-cultural practices, I suggest standards and standardization are best understood as “ontologizing activities.”
more »
« less
- Award ID(s):
- 2240749
- PAR ID:
- 10632484
- Publisher / Repository:
- Springer International Publishing
- Date Published:
- Page Range / eLocation ID:
- 115 to 129
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
A ubiquitous problem in aggregating data across different experimental and observational data sources is a lack of software infrastructure that enables flexible and extensible standardization of data and metadata. To address this challenge, we developed HDMF, a hierarchical data modeling framework for modern science data standards. With HDMF, we separate the process of data standardization into three main components: (1) data modeling and specification, (2) data I/O and storage, and (3) data interaction and data APIs. To enable standards to support the complex requirements and varying use cases throughout the data life cycle, HDMF provides object mapping infrastructure to insulate and integrate these various components. This approach supports the flexible development of data standards and extensions, optimized storage backends, and data APIs, while allowing the other components of the data standards ecosystem to remain stable. To meet the demands of modern, large-scale science data, HDMF provides advanced data I/O functionality for iterative data write, lazy data load, and parallel I/O. It also supports optimization of data storage via support for chunking, compression, linking, and modular data storage. We demonstrate the application of HDMF in practice to design NWB 2.0, a modern data standard for collaborative science across the neurophysiology community.more » « less
-
Increases in the severity and frequency of drought in a warming climate may negatively impact agricultural production and food security. Unlike previous studies that have estimated agricultural impacts of climate condition using single-crop yield distributions, we develop a multivariate probabilistic model that uses projected climatic conditions (e.g., precipitation amount or soil moisture) throughout a growing season to estimate the probability distribution of crop yields. We demonstrate the model by an analysis of the historical period 1980–2012, including the Millennium Drought in Australia (2001–2009). We find that precipitation and soil moisture deficit in dry growing seasons reduced the average annual yield of the five largest crops in Australia (wheat, broad beans, canola, lupine, and barley) by 25–45% relative to the wet growing seasons. Our model can thus produce region- and crop-specific agricultural sensitivities to climate conditions and variability. Probabilistic estimates of yield may help decision-makers in government and business to quantitatively assess the vulnerability of agriculture to climate variations. We develop a multivariate probabilistic model that uses precipitation to estimate the probability distribution of crop yields. The proposed model shows how the probability distribution of crop yield changes in response to droughts. During Australia's Millennium Drought precipitation and soil moisture deficit reduced the average annual yield of the five largest crops.more » « less
-
Applied machine learning (ML) has not yet coalesced on standard practices for research ethics. For ML that predicts mental illness using social media data, ambiguous ethical standards can impact peoples’ lives because of the area’s sensitivity and material con- sequences on health. Transparency of current ethics practices in research is important to document decision-making and improve research practice. We present a systematic literature review of 129 studies that predict mental illness using social media data and ML, and the ethics disclosures they make in research publications. Rates of disclosure are going up over time, but this trend is slow moving – it will take another eight years for the average paper to have coverage on 75% of studied ethics categories. Certain practices are more readily adopted, or "stickier", over time, though we found pri- oritization of data-driven disclosures rather than human-centered. These inconsistently reported ethical considerations indicate a gap between what ML ethicists believe ought to be and what actually is done. We advocate for closing this gap through increased trans- parency of practice and formal mechanisms to support disclosure.more » « less
-
Abstract As municipalities across the global North highlight urban agriculture as a marker of their ‘greenness’, how can we best understand how the spaces and practices of urban food production are governed? This article develops an analysis of urban agriculture as a complex site of governance in which numerous interests engage. We underscore the politics of governance, through which some actors resist the imposition of a narrowly normative and exclusive notion of urban agriculture and against which they envision and enact alternatives. The article contributes to efforts to transcend the often dichotomous framing of urban agriculture as radical or neoliberal, formal or informal, political or post‐political by employing ‘everyday governance’ and ‘everyday resistance’ as lenses through which to focus on the prosaic practices of engaging with, pushing back against, and stepping beyond the imposition of hegemonic models of urban agriculture. We argue that the co‐constitutive, ‘braided’ nature of urban agricultural governance is revealed through attention to the manifold forms of negotiation and resistance to formal urban agricultural governance. Moreover, our perspective highlights the ways that some practitioners are excluded by, challenge, or re‐vision formal definitions of urban agriculture. We draw on the cases of Portland, OR and Vancouver, BC to illustrate our argument.more » « less
An official website of the United States government

