Intelligent Bacteriocin-Based Feed Additives for Sustainable Livestock Production

Publication ID: 24-11857596_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Bacteriocin-Based Feed Additives for Sustainable Livestock Production,” Published Technical Disclosure No. 24-11857596_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857596_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,596.

Summary of the Inventive Concept

A next-generation feed additive system leveraging AI, genomics, and precision farming to promote sustainable livestock production, improve animal health, and reduce environmental impact.

Background and Problem Solved

The original patent disclosed a coated-type feed additive composition for improving body weight gain of livestock or feed conversion ratio. However, this approach has limitations in terms of scalability, customization, and environmental sustainability. The present inventive concept addresses these limitations by integrating cutting-edge technologies to create a more efficient, adaptive, and eco-friendly feed additive system.

Detailed Description of the Inventive Concept

The inventive concept encompasses a system comprising a sensor network for monitoring livestock gut microbiome, an AI-powered feed additive dispenser, and a novel bacteriocin-based feed additive composition. The system integrates genomic data of bacteriocin-producing microorganisms with environmental and nutritional factors to identify high-risk animal populations and provide targeted feed supplements. The feed additive composition features a blend of bacteriocins with complementary modes of action and a biodegradable, plant-based coating material. The system is designed to continuously monitor and adapt to the gut health and nutritional needs of individual animals, minimizing waste, reducing antibiotic use, and promoting sustainable agriculture.

Novelty and Inventive Step

The inventive concept's novelty lies in the integration of AI, genomics, and precision farming to create a customized, adaptive, and sustainable feed additive system. The inventive step resides in the combination of these technologies to address the limitations of the original patent and provide a paradigm shift in the field of livestock production.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, AI algorithms, or bacteriocin-producing microorganisms. Variations could also involve integrating the system with existing farm management software or incorporating additional data sources, such as weather patterns or soil health metrics.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the livestock industry, particularly in the areas of precision farming, sustainable agriculture, and animal health. The target market includes large-scale livestock producers, feed manufacturers, and agricultural technology companies seeking to improve efficiency, reduce environmental impact, and promote animal welfare.

CPC Classifications

SectionClassGroup
A A61 A61K38/12
A A23 A23K10/16
A A23 A23K20/111
A A23 A23K20/142
A A23 A23K20/195
A A23 A23K20/26
A A23 A23K40/30
A A23 A23K50/75
A A61 A61K31/198
A A61 A61K31/405
A A61 A61K31/683
A A61 A61K35/747
A A61 A61K47/22
A A61 A61K47/44
A A23 A23V2400/157
A A23 A23V2400/169

Field of Art

Agricultural biotechnology, specifically animal nutrition and feed additive development with a focus on microbial-based supplements for livestock. Requires expertise in microbiology, nutritional science, and biotechnology with knowledge of bacterial cultures, protein engineering, and animal health

Person of Ordinary Skill (PHOSITA) Profile

A professional with a PhD or Masters in agricultural biotechnology, microbiology, or veterinary science, with 3-5 years of experience in developing animal feed technologies, familiar with genomic data analysis, bacterial protein characterization, and agricultural sustainability techniques

Obviousness Rationale

The proposed variations represent a natural technological progression from the original patent's core concepts of bacteriocin-based feed additives. A skilled practitioner would recognize the potential for integrating digital technologies and genomic data to enhance the original patent's core innovation of targeted bacterial interventions in livestock nutrition. The proposed AI-driven customization and precision monitoring represent logical extensions of existing agricultural biotechnology approaches.

Obvious Combinations & Variations

Source Patent Element
Core composition of bacteriocins from specific microorganisms like Bacillus subtilis and Lactobacillus plantarum
PTD Variation
AI-powered system for selecting and customizing bacteriocin combinations based on genomic data and animal health profiles
Obviousness Reasoning
Known techniques in bioinformatics and machine learning make algorithmic selection of bacterial strains a predictable technological advancement
Source Patent Element
Coated feed additive composition targeting intestinal membrane strengthening
PTD Variation
Plant-based biodegradable coating with enhanced stability and targeted delivery mechanisms
Obviousness Reasoning
Material science developments in encapsulation technologies represent a standard approach to improving bioavailability and targeted delivery
Source Patent Element
Original patent's focus on improving livestock body weight and feed conversion ratio
PTD Variation
Real-time sensor network for continuous monitoring of animal gut microbiome and health parameters
Obviousness Reasoning
Continuous monitoring and data-driven interventions represent a natural technological progression in agricultural precision technologies
Source Patent Element
Core technology of using bacteriocins as feed additives
PTD Variation
Integration of environmental and market trend data to optimize feed supplement recommendations
Obviousness Reasoning
Contextual data integration is a standard approach to improving technological systems in agricultural biotechnology
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. Section 103, the technical variations disclosed herein constitute obvious extensions of the original US 11857596 patent's core innovations. The proposed advancements represent predictable technological progressions in agricultural biotechnology, characterized by standard techniques of digital integration, precision monitoring, and data-driven customization of microbial interventions.

Original Patent Information

Patent NumberUS 11,857,596
TitleAnimal feed additive and animal feed
Assignee(s)AJINOMOTO CO., INC.