Published Technical Disclosure Archive

Synergistic Animal Feed Optimization System

Publication ID: 24-11857596_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Animal Feed Optimization System,” Published Technical Disclosure No. 24-11857596_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857596_0003_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 novel system integrating a coated-type feed additive composition with AI, IoT, blockchain, and advanced materials to optimize animal feed, enhance livestock nutrition, and improve productivity.

Background and Problem Solved

The original patent addresses the need for improving body weight gain and feed conversion ratio in livestock. However, it does not account for the complexities of modern livestock farming, such as real-time monitoring, data-driven decision-making, and supply chain transparency. The new inventive concept solves these limitations by combining the coated-type feed additive composition with cutting-edge technologies.

Detailed Description of the Inventive Concept

The system consists of a coated-type feed additive composition containing a physiologically active substance, which is integrated with an AI-powered monitoring module to track feed conversion ratios and body weight gain. Additionally, IoT-enabled sensors monitor and adjust feed composition in real-time, while a blockchain-based platform tracks the origin and quality of animal feed additives. The system also utilizes novel material compositions for animal feed additive coatings, comprising a polymer matrix infused with nanoparticles and a physiologically active substance.

Novelty and Inventive Step

The new claims introduce a synergistic combination of the coated-type feed additive composition with AI, IoT, blockchain, and advanced materials, providing a non-obvious and innovative solution for optimizing animal feed and enhancing livestock nutrition.

Alternative Embodiments and Variations

Alternative embodiments include using different types of AI algorithms, IoT sensors, or blockchain platforms. Variations may include integrating the system with existing farm management software or using different types of nanoparticles in the material composition.

Potential Commercial Applications and Market

The Synergistic Animal Feed Optimization System has significant commercial potential in the livestock industry, particularly in the areas of precision farming, animal nutrition, and supply chain management. Target industries include poultry, swine, and cattle farming, as well as animal feed manufacturers and distributors.

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

Animal nutrition and feed technology, specifically focused on livestock feed additives, microbiological compositions, and nutritional enhancement technologies. Requires expertise in microbiology, veterinary nutrition, materials science, and agricultural biotechnology.

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degree (MS/PhD) in animal science, veterinary nutrition, or biotechnology, having practical experience in developing feed additives, understanding microbial interactions, and applying advanced materials in agricultural applications.

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies and advanced materials with existing feed additive compositions represents a predictable technological evolution. The core innovation of the source patent's coated bacteriocin feed additive naturally invites optimization through emerging technologies like AI, IoT, and advanced material science. The proposed variations demonstrate standard engineering problem-solving approaches to enhance the functionality and monitoring capabilities of existing nutritional technologies.

Obvious Combinations & Variations

Source Patent Element
Coated-type feed additive composition containing bacteriocins for improving livestock body weight gain
PTD Variation
Adding AI-powered monitoring module to track feed conversion ratios and body weight gain
Obviousness Reasoning
Integrating digital monitoring with existing nutritional technologies is a predictable application of known data tracking techniques to improve agricultural performance measurement
Source Patent Element
Physiologically active substances targeting intestinal epithelial cell membrane strengthening
PTD Variation
Incorporating nanoparticle-enhanced polymer matrix for improved substance delivery
Obviousness Reasoning
Nanotechnology represents a known method for enhancing drug/substance delivery, and a PHOSITA would recognize its potential for improving existing feed additive compositions
Source Patent Element
Bacteriocin-based feed additives from microorganisms like Bacillus subtilis
PTD Variation
Blockchain platform for tracking feed additive origin and quality
Obviousness Reasoning
Supply chain transparency and provenance tracking are standard technological improvements for agricultural and biological products, representing an obvious extension of existing quality control methods
Source Patent Element
Feed additive composition for improving livestock nutrition
PTD Variation
Machine learning algorithm for predicting and preventing disease outbreaks
Obviousness Reasoning
Predictive health monitoring using computational techniques is a standard approach in veterinary and agricultural management, representing a logical technological progression
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857596 and the technological context of animal nutrition and feed technology, the claimed variations in the published technical disclosure would be considered obvious to a person having ordinary skill in the art. The combination of known feed additive technologies with emerging digital monitoring, materials science, and computational techniques represents a predictable and incremental innovation that does not rise to the level of non-obvious invention.

Original Patent Information

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