The framework, called AlterProtX, is described in the open-access journal npj Science of Food by Eunyeong Lee and Hee Yang of the Department of Food and Nutrition at Kookmin University. Its central insight is that meaningful comparison of protein sources requires bridging two levels of biological organization that are usually studied separately. On one level, the behavior of individual protein molecules—their thermal stability, their surface properties, their tendency to interact with neighbors—determines how they respond to the heat, shear, and pH shifts of food processing. On another level, what matters for a burger patty or a whipped topping is the statistical distribution of those molecular behaviors across an entire proteome. AlterProtX was built to connect the two.

At the molecular level, the system uses AI-based prediction to estimate protein thermal stability, a property with direct processing relevance. Thermal stability governs how a protein unfolds when heated, and unfolding is the first step in the aggregation and network formation that produce gelation, the process by which liquid mixtures set into solid-like structures such as yogurts, tofu, and processed meats. Proteins that denature too readily or too reluctantly can both cause problems in formulation, so having a predicted stability value for every protein in a candidate organism gives formulators a molecular handle on how that ingredient will behave in a heated process line.

Thermal stability alone, however, cannot capture the intermolecular interactions that give protein mixtures their functional character. To address this, AlterProtX integrates six additional attributes describing how proteins interact with one another. These intermolecular interaction features, combined with the predicted stability values, are then aggregated not as simple averages but as distributions across the proteome. This distribution-based representation is the key technical move: instead of collapsing a proteome to a single number, it preserves the heterogeneity of the protein mixture, capturing the fact that two proteomes with similar mean properties might have very different spreads of behaviors—and therefore very different functional profiles in food.

With these multiscale representations in hand, the researchers could perform something that has been largely impractical until now: a mechanistic, proteome-wide comparison between animal and non-animal proteomes. By examining where the distributions of molecular features overlap and where they diverge, the framework reveals which molecular characteristics underlie functional similarity between, say, a muscle proteome and a legume proteome, and which differences explain why certain plant ingredients fail to replicate the texture and performance of animal proteins. This kind of interpretable comparison turns the search for alternatives from a trial-and-error exercise into a hypothesis-generating science, pointing formulators toward the specific molecular gaps they need to close.

The framework also confronts two practical filters that any candidate protein source must pass before it can reach the market. The first is allergenic potential. A proteome that functionally mimics egg or milk protein is of little commercial value if it carries a heavy load of known or predicted allergens, so AlterProtX incorporates allergenicity assessment into its evaluation pipeline. The second is nutritional adequacy, since a sustainable replacement must deliver the amino acids and protein quality that consumers expect from the foods it replaces. By integrating these two dimensions alongside the functional predictions, the system supports early-stage prioritization: candidate sources that fail on safety or nutrition can be screened out before expensive experimental characterization begins, while promising candidates rise to the top of the queue for laboratory testing.

The interpretability of the platform deserves particular emphasis, because it distinguishes AlterProtX from the black-box models that dominate much of modern protein AI. Most AI-based protein tools, including the structure-prediction systems that have transformed structural biology, focus on individual proteins in isolation. They can tell you what one molecule looks like or how one chain folds, but they say little about how a heterogeneous mixture of thousands of proteins will behave when blended, heated, and sheared in a food matrix. By building representations at the proteome level and grounding them in mechanistically meaningful features—stability and interaction attributes—AlterProtX produces outputs that food scientists can reason about, interrogate, and act upon, rather than opaque scores they must simply trust.

The implications for the food industry could be substantial. The global search for sustainable protein alternatives currently spans an enormous diversity of organisms: legumes, cereals, algae, fungi, insects, and microbial biomass produced through precision fermentation. Each candidate harbors a distinct proteome with its own distribution of functional properties, and characterizing even one candidate experimentally requires months of ingredient-level testing—extraction, purification, functional assays, and pilot-scale formulation. A framework that can rank and compare candidates computationally, before any bench work begins, could redirect scarce research resources toward the most promising sources and accelerate the timeline for bringing new ingredients to market. In a food system under pressure from climate change, population growth, and rising demand for protein, that acceleration matters.

The work also illustrates a broader trend in computational food science: the migration of machine-learning methods from medicine and structural biology into the study of food matrices, where the questions are different and the scale of analysis must be different too. Food functionality is an emergent property of mixtures, not molecules, and the field has long lacked tools that respect that fact. Lee and Yang’s distribution-based proteome representations represent one answer, and the authors position AlterProtX as a platform—something others can extend with additional molecular features, additional functional endpoints, or additional candidate organisms as predicted and experimental data accumulate.

For now, the framework stands as a proof of concept that proteome-scale, AI-enabled evaluation of food proteins is feasible and interpretable. The authors note that it provides an interpretable platform for proteome-level evaluation of food proteins, supporting the early-stage decisions that determine which sustainable alternatives get a chance to prove themselves in the lab and, eventually, on the plate. As the food system transformation accelerates, tools that can see whole proteomes rather than single molecules may prove essential to finding the proteins that future diets will depend on. The study was published open access, with funding from Korea’s Ministry of Education and National Research Foundation through the Leaders in INdustry-university Cooperation 3.0 Project and from the Rural Development Administration’s project on high-quality domestic plant-based protein materials.

Subject of Research: An AI-based proteome-scale framework for identifying sustainable alternative food proteins

Article Title: An AI-enabled proteome-scale framework for identifying sustainable protein alternatives for future food systems

Article References: Lee, E., & Yang, H. (2026). An AI-enabled proteome-scale framework for identifying sustainable protein alternatives for future food systems. npj Science of Food. https://doi.org/10.1038/s41538-026-01159-x

Image Credits: AI Generated

DOI: 10.1038/s41538-026-01159-x

Keywords: alternative proteins, artificial intelligence, proteomics, food science, sustainable food systems, thermal stability, gelation, allergenicity, plant-based protein, computational biology, food formulation, npj Science of Food

The policy in question is the National Protein Strategy, or NPS, published in December 2020. It emerged from a request by the European Commission for member states to develop national protein strategies within their Common Agricultural Policy plans, amid rising geopolitical tensions, supply chain disruptions caused by the Covid-19 pandemic, and competition for feed commodities. Europe’s so-called protein deficit, its lack of strategic autonomy in vegetable proteins, had become a key geopolitical concern, and national strategies were expected to stimulate the growth of protein-rich crops while contributing to environmental, climate, and health goals. Boterman analyzed the NPS report itself, along with 211 policy documents and parliamentary debates from 2018 to 2025, using qualitative frame analysis to trace how the strategy frames the future of Dutch food.

The concept at the heart of the analysis is the promissory narrative: the forward-looking claims and visions that advocate for alternative food technologies and practices as solutions to current environmental, ethical, and health challenges. Drawing on scholarship on alternative proteins, Boterman identifies three central functions of such narratives. They foreground specific technological pathways as solutions to urgent problems, legitimating investment and political commitment. They mask uncertainties and trade-offs, overselling techno-fixes while obscuring contested political and ecological landscapes. And they reshape cultural expectations about what future food systems should look like, often privileging technologically intensive solutions over systemic socio-political change. Applied to the Dutch strategy, these functions reveal a document that promises to resolve nearly every crisis at once, while quietly leaving the underlying structure of intensive livestock farming untouched.

The NPS organizes its solutions into five tracks: growing more local protein-rich crops, innovating alternative proteins, scaling up insect farming, optimizing waste flows, and shifting consumption toward more plant-based diets. A pie chart in the report suggests rough contributions from each track, with about 20 percent of the protein gap assigned to domestic legume cultivation, another 20 percent to novel protein innovations, 15 percent to insects, 20 percent to waste circularity, and only 15 percent to dietary change. Notably, no official quantitative target is published, and the report contains no calculations of how each track would actually contribute. The overall picture, however, is clear: the strategy is overwhelmingly oriented toward the production side, with technological innovation as the dominant imaginary running through nearly every element.

That techno-optimism takes many forms. The second track envisions new plant-based protein sources such as beet leaves and duckweed, cultivated meat developed by Dutch companies Mosa Meat and Meatable, seaweed grown alongside North Sea wind turbine parks, expanded shellfish production, and single-cell proteins generated by microbial fermentation. According to the report, this last category is an important protein source for the future, for which substantial growth can already be realized within current legal frameworks. The first track proposes expanding protein-rich crops from roughly 20,000 hectares in 2020 to 100,000 hectares by 2030, with space ultimately for up to 125,000 hectares, suggesting a return to a more diversified and self-sufficient agriculture. Yet the report itself concedes that, under current regulations, alternative plant sources cannot compete with soy on price, and that the amino-acid composition of European soy and native legumes is less favorable for compound feed.

Perhaps the most striking enthusiasm is reserved for insects, which the NPS presents as a genuine panacea for the protein puzzle. Citing reports from Wageningen University, the strategy estimated that insect-based proteins could replace 10 percent of animal-based proteins in animal feed and 20 percent in human food by 2025. Insects, the report claims, bring the food chain back into balance with nature and fit seamlessly with circular agriculture, recycling valuable nutrients, providing suitable amino acids for livestock feed, and expanding the Dutch insect business and research cluster. Closely connected is the promise of circularity: the fourth track envisions Dutch livestock farming becoming entirely circular, which would require re-legalizing kitchen waste as pig feed and reintroducing processed animal proteins such as bone meal, banned since the BSE outbreak. The Dutch government has consistently lobbied the European Commission to readmit these flows, and by 2022 it could report that bone meal had been re-permitted under strict conditions, with insect proteins also admitted for non-ruminant feed.

What these promises share, Boterman argues, is a systematic downplaying of uncertainty. Insect farming was still a niche sector when the plan was drafted, and meeting the promised goals would require enormous upscaling, large-scale capital investment, and developed commodity chains. Cultivated meat holds promise, but its chances of success remain unclear, and its mass market introduction is still pending in major markets. Potential consumer resistance to eating insects, which is well documented in the research literature, is not even mentioned in the strategy, nor is the political polarization emerging around cultivated meat in several European countries. Regulatory, technological, financial, and political conditions on which these promises depend are often not yet crystallized and not stable over time, yet the NPS focuses almost exclusively on opportunities.

The treatment of dietary change reveals the strategy’s deepest ambivalence. Consumption was added to the NPS only late in the drafting process, after stakeholders and several political parties pushed for its inclusion, and the half-heartedness still shows. The strategy oscillates between optimistic frames that everything starts with consumption and more negative frames that it is very hard to change consumption habits, combined with a general reluctance to interfere with consumer freedom. The stated ambition, in line with recommendations from the Dutch Food Centre, is to shift from 60 percent animal-sourced protein in Dutch diets to 50 percent by 2030, through measures such as offering more plant-based proteins in government buildings and investigating a meat levy. In the years after publication, the government recommitted to this target and framed the protein transition as an economic opportunity for farmers, signing a Bean Deal in 2022 to build full legume supply chains from soil to mouth. Yet when the National Health Council advised moving to 60 percent plant-based protein, the minister postponed any decision and delegated it to a new government.

That new government, which includes the agro-populist Farmer Citizen Movement, or BBB, marks a decisive shift in the political narrative. The BBB, founded by agribusiness consultants in 2019 in response to criticism of intensive livestock farming, won a landslide victory in the provincial elections and joined the national coalition in 2024, delivering the agriculture minister. The ministry was renamed from Agriculture, Food Quality and Nature to Agriculture, Fishery, Food Security and Nature, a change Boterman describes as an omen of how the winds have shifted. In recent debates, animal-based proteins are now presented as indispensable to national crisis preparedness, while reducing livestock farming is framed as economic and geopolitical folly and dietary change as an elite urban project. Narratives about the detrimental effects of livestock farming on climate, biodiversity, and human health are being drowned out by narratives of food security and strategic autonomy.

The study’s conclusion is pointed: the National Protein Strategy functions less as a roadmap toward a post-livestock protein future than as a strategic effort to secure the Dutch agro-industrial complex against geopolitical uncertainty and environmental regulation. The strategy never entertains reducing the capacity of meat and dairy production for export, even though the literature on protein transitions argues that meaningful transformation requires reductions in animal production and consumption, not merely the addition of novel protein sources. Instead, promissory narratives of legume dreams, insect game changers, cultivated meat, and circular waste valorization sustain an imaginary in which intensification and sustainability are mutually compatible, masking the tensions between remedying the protein deficit and sustaining feed-intensive production, between circularity and the biological limits of waste-based systems, and between techno-optimism and the political and cultural barriers to dietary change. In the Netherlands, the land of the protein hub, the future of protein, at least officially, looks remarkably like the present.

Subject of Research: Promissory narratives in the Dutch National Protein Strategy and the politics of the protein transition

Article Title: The promissory narratives of the Dutch National Protein Strategy

Article References: Boterman, W. R. (2026). The promissory narratives of the Dutch National Protein Strategy. Geographica Helvetica, 81(2), 311-323. https://doi.org/10.5194/gh-81-311-2026

Image Credits: AI Generated

DOI: 10.5194/gh-81-311-2026

Keywords: protein transition, Netherlands, National Protein Strategy, alternative proteins, intensive livestock farming, techno-optimism, food security, circular agriculture, insect farming, cultivated meat, nitrogen crisis, agro-populism

The study, published in the journal Geographica Helvetica by geographers Frank I. Müller, Frank Meyer, and Judith Miggelbrink, is among the first to move beyond the textual analysis of alternative-protein hype and examine how promises about cultured meat are organised audio-visually. Drawing on Bruno Latour’s concept of translation from actor–network theory, the authors argue that promotional videos do not simply transmit information about a technology. Instead, they align heterogeneous elements, including cells, laboratories, animals, kitchens, investors, and crisis imagery, into coherent stories that reshape how each of those elements is understood. In Latourian terms, translation is not mere communication but a transformation: to translate is to link agents in ways that change them, and the videos, the researchers contend, turn laboratories into scalable futures, cells into commodities, and viewers into potential supporters or investors.

The corpus was assembled from the company database of the Good Food Institute, a non-profit that promotes animal-protein alternatives. The researchers selected short-form, English-, German-, Spanish-, or Portuguese-language videos intended to advertise companies to consumers or investors, excluding interviews and slide presentations in favour of genuine narrative storytelling. Each video was analysed as a single audio-visual unit through a two-stage coding process. The first stage coded material against four analytical entry points derived from the literature on promissory narratives: strategic positioning, material referents, temporal projection, and broader promissory framings linking crisis, ethics, and transformation. The second stage compared the coded material across the corpus to identify recurring narrative configurations. The result was six cross-cutting patterns, which the authors interpret as six translational operations.

The first pattern, which the researchers call narrating CellAg, relies on infographics, comic-style graphics, and interviews with chefs, employees, and chief executives to make complex science digestible. Young scientists in white suits work diligently in gleaming laboratories while founders offer personal testimony, vouching for the technology and its promise of a better world. Statistics and charts sit alongside images of suffering animals, blending economic motivation with ethical storytelling. The authors describe this as a translational act of guided explanation: it renders technical opacity trustworthy through controlled visual explanation and embodied spokespersons, while quietly narrowing the field of interpretation by foregrounding expertise, safety, and optimism and backgrounding uncertainty, conflict, and the difficulties of industrial scale-up.

The second pattern performs what the researchers call scalar translation, entangling the planetary, the microbial, and the domestic in rapid montage. Aerial tracking shots sweep over deforested land and monotonous agriculture before cutting to laboratory scenes; close-ups of petri dishes, test tubes, and microscopes give way to family barbecues and dinner tables; computer-generated cell biopsies are followed by sizzling pans. The laboratory becomes the hinge connecting the micro-scale of the cell to the scale of the planet, framing cell cultivation as a natural response to global crisis. Crucially, the authors note, the montage almost always skips the contested middle step: the upscaled fabrication plant, with its energy demands, infrastructure, and regulatory complexity. What the videos omit, they argue, is as persuasive as what they show.

A third pattern bundles crises together. Climate change, land scarcity, food security, animal welfare, water pollution, and even urban futures are condensed into a single narrative problem space to which cellular agriculture appears as a proportionate answer. One video in the corpus declares that by 2050 the world’s population will exceed ten billion and that cellular agriculture is here to tackle the resulting challenge. The researchers describe this as crisis–solution translation: diffuse collective anxieties are converted into a market-compatible horizon of action, positioning private firms as legitimate responders to anticipated catastrophe and framing investment and entrepreneurship as socially responsible rather than merely profit-seeking.

Perhaps the most striking pattern is temporal. Several videos invoke a nostalgic, pre-industrial past in which people grew their own food, knew the animals they ate, and lived in balance with nature, before contrasting that idyll with the devastation of industrial meat production. One company’s video, styled as a fairy-tale book turned by an invisible hand, moves from cows grazing in alpine meadows to the eroded landscapes of the Amazon, before asking whether technology could restore what has been lost. The researchers call this temporal translation: a promise to bridge an apparent contradiction by using technological progress to recover the virtues of an imagined past. The affective vocabulary of tradition is preserved, they argue, while the material basis of that tradition is replaced, allowing cultured meat to appear both radically novel and culturally continuous.

A fifth pattern moralises cleanliness. Sterile laboratories, spotless microscopes, and controlled interiors are repeatedly juxtaposed with barns, smoke, mud, and smoking chimneys, so that hygiene becomes shorthand for sustainability, safety, and ethical superiority. The researchers describe this hygienic translation as reframing food production as a problem of controlled environments and optimised processes, shifting attention away from questions of energy use, material throughput, and industrial dependency toward an ideal of transparent technical management. The messy materiality of animal agriculture is translated into a seemingly frictionless, governable environment, with the laboratory positioned as the clean successor to the farm.

The final pattern works through emotion. Videos individualise animals, giving them names and close-ups, and stage scenes of family barbecues rendered in nostalgic, 1970s-style footage. One company famously named a chicken Ian; another asks viewers whether cramming animals into barns is even natural. The researchers argue that this emotional translation redistributes responsibility: guilt is displaced onto existing production systems rather than consumption itself, so the viewer is not asked to give up meat but to accept it in a morally repaired form. Regret and compassion are converted into acceptance of technological substitution, legitimising a new production regime that promises ethical continuity without dietary rupture.

Taken together, the six patterns form what the authors call a repertoire rather than a typology, and they reveal a sector that, despite its fragmentation, presents a remarkably coherent audio-visual narrative about its own promise. The researchers are careful about what their findings do and do not show: the analysis does not demonstrate that cellular agriculture companies are already agents of a protein transition, only that their promotional media frame them as such in an effort to stabilise that position with consumers, investors, and regulators. By centring audio-visual material, the study extends scholarship on promissory narratives beyond text-based sources and raises pointed questions about how these translations travel, whether the meanings crafted in industry videos are reproduced, contested, or transformed in policy documents, news coverage, and audience reception. As cultured meat edges toward supermarket shelves, the study is a reminder that the battle for the future of protein is being fought not only in bioreactors, but in storyboards, scripts, and carefully edited frames.

Subject of Research: Promissory narratives and audio-visual storytelling in cellular agriculture promotional videos

Article Title: From lab to table: promissory narratives and the future of protein production in response to global crises

Article References: Müller, F. I., Meyer, F., & Miggelbrink, J. (2026). From lab to table: promissory narratives and the future of protein production in response to global crises. Geographica Helvetica, 81(3), 463-479. https://doi.org/10.5194/gh-81-463-2026

Image Credits: AI Generated

DOI: 10.5194/gh-81-463-2026

Keywords: cellular agriculture, cultured meat, promissory narratives, actor-network theory, socio-technical imaginaries, food systems, sustainability, multimodal analysis, alternative proteins, science communication, food media, Latour

The pressures driving this transformation are structural rather than cosmetic. The global population is projected to reach approximately 9.7 billion by 2050, and demand for animal-source foods continues to climb as incomes rise in low- and middle-income countries. Yet conventional livestock production is constrained by biological inefficiencies, including low feed conversion efficiency and long production cycles, that limit scalability without proportional increases in land, water, and energy inputs. The livestock sector accounts for roughly 14.5 percent of anthropogenic greenhouse gas emissions according to the Food and Agriculture Organization, primarily through enteric methane, manure management, and feed cultivation, while grazing and feed production remain leading drivers of deforestation and biodiversity loss in tropical regions. Disease outbreaks such as African swine fever and avian influenza have repeatedly disrupted meat supplies, and the COVID-19 pandemic exposed how fragile centralized processing and distribution networks can be when labor shortages and logistical bottlenecks cascade through the system.

Against this backdrop, the review identifies digitalization as the foundational strategy for modernizing livestock production. Precision livestock farming, or PLF, marks a fundamental shift from experience-based herd management to continuous, data-driven decision-making. Sensor networks, wearable devices, imaging systems, and environmental monitors collect high-resolution data on individual animals rather than whole herds. Wearable collar devices now track body temperature, feeding behavior, and movement in dairy cows, while sensor-based air quality monitoring has been used to predict infectious disease in poultry flocks. The practical payoff is early intervention: automated detection of lameness, mastitis, and respiratory disease reduces production losses and can lessen reliance on prophylactic antimicrobial use, a goal with direct public health implications. Continuous thermal monitoring also allows producers to counteract productivity declines driven by heat stress as climates warm.

Artificial intelligence multiplies the value of all that sensor data. Machine learning models integrate raw signals, such as the frequency and duration of feeder visits, with body weight and health records to model feeding patterns and flag anomalies before they become clinical problems. Predictive models estimate heat stress from real-time temperature and humidity readings, while classification models built on blood-derived physiological parameters support earlier diagnosis. Computer vision has emerged as a particularly powerful branch: deep learning systems can identify individual animals by appearance alone, eliminating the need for attached sensors, and image-based analysis of hoof features has achieved high accuracy in assessing inflammation severity. Comparable systems detect lameness and abnormal behavior in dairy and poultry operations with impressive precision. The authors emphasize, however, that these algorithms demand large volumes of collected data before they can perform, and that adoption hinges on affordability, interoperability, and farmer training, especially for small- and medium-scale producers who face high initial investment costs.

Beyond the farm, blockchain-based traceability systems are reshaping transparency in livestock supply chains. Because blockchain entries require approval from multiple stakeholders, recorded information becomes resistant to tampering, enabling immutable documentation of production and processing data. These systems can support early detection and tracking of animal epidemics and enable cold-chain monitoring by logging temperature, humidity, and vibration during distribution. Notably, a survey study found that consumers in South Korea, the United States, and Hong Kong showed greater willingness to pay for beef when temperature fluctuations during distribution were tracked on a blockchain, suggesting tangible market value for verifiable transparency. Still, the review cautions that unresolved questions of data ownership, cybersecurity, and standardization require governance frameworks to accompany the technology itself.

The most contested frontier lies in alternative proteins and cellular agriculture. Plant-based meat analogues built from soy, pea, and wheat proteins rely on extrusion, shear processing, and texturization to reproduce fibrous, meat-like textures. Microbial proteins from fungi, algae, and bacteria offer another route, with fermentation advances yielding nutritionally valuable products. Cell-cultivated meat, grown from animal cells in vitro, retains species-specific protein composition and cellular architecture, positioning it as a complement to livestock rather than a wholly separate category. Life cycle assessments generally show reduced greenhouse gas emissions, land use, and water use compared with conventional meat, but the review stresses that these advantages are context-dependent: highly refined plant-based and fermentation-derived products can carry heavy processing and energy burdens, and the environmental profile of cultured meat will depend on the materials and methods used once production reaches commercial scale.

The economic and technical hurdles for cellular agriculture remain formidable. Scaling from laboratory to industrial production requires large bioreactor facilities with high capital costs, expensive culture media, and significant energy demand. Operating such bioreactors is technically demanding because sufficient mass transfer must be maintained while minimizing shear stress that damages delicate animal cells, and bioreactors specifically optimized for cellular agriculture are still scarce. Fully replicating the sensory attributes of conventional meat remains elusive, and even if production succeeds, cultured meat would fall under distinct regulatory frameworks with limited compatibility with existing meat distribution infrastructure. Potential concerns about residual antibiotics or hormones from culture media, along with unresolved religious questions about halal and kosher status, further complicate acceptance. The authors argue that cultured meat should therefore be framed as one component of a diversified protein portfolio rather than a disruptive replacement for farming.

Meanwhile, processing innovations are quietly transforming conventional meat products themselves. Reformulation efforts target reduced fat, sodium, and nitrite in response to links between saturated fat and cardiovascular disease and ongoing debate over nitrite in processed meats. Oleogel technology structures plant-derived oils into gels that mimic the texture, mouthfeel, and flavor release of animal fat while delivering unsaturated lipids, though oxidative stability and flavor compatibility remain obstacles during storage and cooking. Salt reduction is particularly tricky because sodium chloride contributes water-holding capacity, protein solubilization, and texture, not just salty taste; microwave treatment of low-salt meat products can increase sodium ion mobility and saltiness perception, while ultrasound induces protein denaturation that strengthens gel formation at reduced salt levels. Natural curing systems using vegetable-derived nitrate sources and starter cultures lower reliance on synthetic nitrites, and high-pressure processing under optimized conditions promotes myoglobin modification that improves cured color. Enzymatic hydrolysis of meat proteins, including by-products such as skin and blood, generates bioactive peptides with antioxidant and antihypertensive activities, and precision fermentation now enables production of casein and whey with identical amino acid sequences to dairy proteins, without animal farming, albeit at high cost and under regulatory and consumer scrutiny.

Smart packaging rounds out the processing toolkit. Active packaging embeds antimicrobial agents, antioxidants, or oxygen scavengers into materials to inhibit microbial growth and lipid oxidation, extending shelf life for minimally processed and reformulated meats. Intelligent packaging uses pigment-based indicators that change color as spoilage-related volatile compounds shift pH, giving retailers and consumers real-time freshness information. Although multilayer materials and embedded additives complicate recycling, recent life cycle assessments suggest the environmental impact of food waste can exceed that of packaging itself, meaning shelf-life extension may deliver greater environmental benefits than recyclability improvements alone. According to the review’s maturity assessment, salt reduction and smart packaging have reached relatively advanced industrial implementation, while oleogel fat replacement and precision fermentation remain at earlier stages due to cost, supply, and sensory constraints.

Ultimately, the review’s central message is that regulatory readiness, safety governance, and consumer perception form an interdependent triad that can enable or strangle food tech innovation. Regulatory pathways remain fragmented, with the European Union applying precautionary pre-market authorization under its Novel Foods Regulation while the United States relies on shared FDA and USDA oversight of cell-cultivated meat. Consumer studies consistently show higher preference for plant-based alternatives than for cultured meat, which suffers from perceptions of unnaturalness even as its sustainability and welfare benefits are viewed positively. The authors conclude that future livestock food systems will evolve through strategic coexistence: conventional production focusing on quality, welfare, and regional specialization, while hybrid products combining conventional meat with plant proteins or cultured meat balance sensory quality, nutrition, cost, and environmental performance. Food technology, in this vision, is not a singular solution but a portfolio of tools whose success will depend on equitable access, harmonized regulation, rigorous safety assessment, and the public trust that binds them all together.

Subject of Research: Emerging food technologies shaping the future sustainability of the livestock food industry

Article Title: Development of food technology for the future prospect of the livestock food industry

Article References: Kim, Y.-J., Cha, J. Y., Kim, J.-H., Keum, D. H., & Choi, Y.-S. (2026). Development of food technology for the future prospect of the livestock food industry. Food Science of Animal Resources, 46(1), Article 76. https://doi.org/10.1007/s44463-026-00073-w

Image Credits: AI Generated

DOI: 10.1007/s44463-026-00073-w

Keywords: livestock, food technology, precision livestock farming, artificial intelligence, alternative proteins, cultivated meat, cellular agriculture, smart packaging, sustainability, food safety, consumer acceptance, precision fermentation