AI-Powered Microbial Oil Production Optimization System

Publication ID: 24-11856952_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Microbial Oil Production Optimization System,” Published Technical Disclosure No. 24-11856952_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856952_0008_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. 11,856,952.

Background and Problem Solved

The original patent described a microbial oil composition with high content of polyunsaturated fatty acids. However, the production process was limited by the lack of real-time quality control, inefficient rectification, and inadequate tracking of microbial biomass origin. The present invention addresses these limitations by integrating AI-powered quality control, IoT-enabled rectification, and blockchain-based tracking, thereby ensuring a more efficient, high-quality, and transparent production process.

Novelty and Inventive Step

The integration of AI, IoT, and blockchain technologies with the microbial oil production process is novel and non-obvious compared to the original patent. The AI-powered quality control module, IoT-enabled rectification, and blockchain-based tracking system provide a unique combination of features that enhance the efficiency, quality, and transparency of microbial oil production.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different AI algorithms, IoT sensors, or blockchain platforms. Variations may include the integration of additional technologies, such as graphene-based additives or machine vision systems, to further enhance the production process and product quality.

Potential Commercial Applications and Market

The invention has significant commercial potential in the food, pharmaceutical, and cosmetic industries, where high-quality microbial oil is in demand. The integrated system can provide a competitive advantage in terms of efficiency, quality, and transparency, making it an attractive solution for companies seeking to improve their microbial oil production processes.

CPC Classifications

SectionClassGroup
A A01 A01N37/06
A A23 A23D9/013
A A23 A23D9/02
A A23 A23K20/158
A A23 A23L33/115
A A61 A61K8/361
A A61 A61K8/9706
A A61 A61K8/9728
A A61 A61K8/99
A A61 A61K31/202
A A61 A61K36/06
A A61 A61Q19/00
C C11 C11B1/025
C C11 C11B3/10
C C11 C11B3/12
C C11 C11C1/005
C C11 C11C3/10
C C12 C12N1/28
C C12 C12P7/6427
C C12 C12P7/6436
C C12 C12P7/6463

Field of Art

Biotechnology and food science, specifically microbial oil production, with expertise in fatty acid extraction, purification, and advanced processing techniques

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biotechnology, biochemical engineering, or food science, experienced in microbial cultivation, lipid extraction, and industrial processing techniques, familiar with emerging technologies in process optimization

Obviousness Rationale

A PHOSITA would recognize that integrating modern digital technologies like AI, IoT, and blockchain into microbial oil production represents a predictable application of known optimization techniques to an established industrial process. The core microbial oil production methodology remains fundamentally unchanged, with digital technologies merely providing enhanced monitoring, control, and tracking capabilities. These technological extensions would be considered routine engineering improvements that leverage standard industrial automation and data management principles.

Obvious Combinations & Variations

Source Patent Element
Microbial oil production method involving fatty acid extraction and purification
PTD Variation
AI-powered quality control module for real-time process monitoring and optimization
Obviousness Reasoning
Implementing machine learning and AI for industrial process control is a well-established technique, representing a predictable application of known computational methods to improve existing production processes
Source Patent Element
Fatty acid composition with specific polyunsaturated fatty acid concentrations
PTD Variation
Graphene-based additive for enhancing oil stability and shelf-life
Obviousness Reasoning
Material science techniques for improving oil stability through additive technologies are known in the art, and graphene's properties make it a foreseeable candidate for enhancing lipid product characteristics
Source Patent Element
Microbial oil production involving multiple processing stages
PTD Variation
IoT sensors and blockchain tracking for production monitoring and biomass origin verification
Obviousness Reasoning
Implementing distributed sensor networks and blockchain for industrial traceability represents a standard digital transformation approach applicable across multiple manufacturing domains
Source Patent Element
Fatty acid rectification and concentration techniques
PTD Variation
Robotic automation system and machine vision quality control
Obviousness Reasoning
Automated manufacturing with computer vision inspection is a predictable technological progression for improving precision and consistency in industrial processing
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856952 and the disclosed technological variations, a person having ordinary skill in the art would find the integration of AI, IoT, blockchain, and advanced automation technologies into microbial oil production to be obvious and non-inventive. The proposed modifications represent routine engineering extensions that would be apparent to a skilled practitioner seeking to improve industrial processing efficiency and product quality.

Original Patent Information

Patent NumberUS 11,856,952
TitleMicrobial oil, production method for microbial oil, concentrated microbial oil, and production method for concentrated microbial oil
Assignee(s)NIPPON SUISAN KAISHA, LTD.