Published Technical Disclosure Archive

AI-Driven Stevia Extract Innovation: RebM Optimization

Publication ID: 24-11856972_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Driven Stevia Extract Innovation: RebM Optimization,” Published Technical Disclosure No. 24-11856972_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856972_0005_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. 11,856,972.

Background and Problem Solved

The original patent disclosed a process for preparing Stevia extracts with high RebM content. However, the limitations of traditional farming practices, manual processing, and static RebM levels in sweetener products hindered widespread adoption. This invention addresses these limitations by introducing machine learning, IoT sensors, CRISPR-Cas9 genome editing, modular processing units, and smart packaging systems.

Novelty and Inventive Step

The new claims introduce a paradigm shift in Stevia rebaudiana cultivation, extraction, and processing by integrating cutting-edge technologies, enabling unprecedented precision, efficiency, and customization. The inventive step lies in the synergistic combination of machine learning, IoT sensors, CRISPR-Cas9 genome editing, modular processing units, and smart packaging systems.

Alternative Embodiments and Variations

Alternative embodiments may include the use of other machine learning algorithms, different IoT sensor configurations, or alternative genome editing techniques. Variations may also include the application of these innovations to other crops or industries.

Potential Commercial Applications and Market

The invention has far-reaching commercial potential in the sweetener industry, enabling the creation of premium, customizable Stevia-based products with enhanced RebM content. Target industries include food and beverage manufacturing, pharmaceuticals, and nutraceuticals.

CPC Classifications

SectionClassGroup
A A23 A23L2/60
A A01 A01H4/005
A A01 A01H4/008
A A01 A01H5/12
A A01 A01H6/1488
A A21 A21D2/181
A A21 A21D2/36
A A21 A21D13/062
A A23 A23C9/1307
A A23 A23G3/36
A A23 A23G4/06
A A23 A23L2/52
A A23 A23L2/54
A A23 A23L27/36
A A23 A23L33/105
A A61 A61K8/9789
A A61 A61Q1/00
A A61 A61Q11/00
C C07 C07H1/08
C C07 C07H15/24
C C07 C07H15/256
C C12 C12N15/8282
A A23 A23G3/42
A A23 A23G4/10
A A23 A23V2002/00
A A23 A23V2250/262
A A61 A61K36/00

Field of Art

Agricultural biotechnology, plant breeding, food science, with a focus on high-intensity sweetener extraction and genetic modification of Stevia rebaudiana plants

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in plant biotechnology, genetic engineering, or food science, possessing expertise in crop improvement techniques, molecular breeding, extraction technologies, and sweetener production processes

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed innovations represent predictable extensions of existing Stevia glycoside extraction and optimization technologies. The integration of machine learning, IoT sensors, and genome editing represents a natural progression of known techniques for improving agricultural productivity and sweetener yield. The systematic approach to enhancing RebM content through targeted genetic modifications and precision farming aligns with established paradigms in crop improvement research.

Obvious Combinations & Variations

Source Patent Element
Stevia rebaudiana leaves obtained from selectively bred cultivars with enhanced glycoside content
PTD Variation
CRISPR-Cas9 genome editing to generate cultivars with enhanced RebM biosynthesis
Obviousness Reasoning
Selective breeding and genetic modification are well-established techniques for crop improvement, with predictable outcomes in targeting specific metabolic pathways
Source Patent Element
Extraction process for obtaining steviol glycoside compositions
PTD Variation
Modular micro-reactor system with blockchain tracking for extraction and purification
Obviousness Reasoning
Incremental improvements in extraction technologies using modular design and digital tracking represent standard engineering problem-solving approaches
Source Patent Element
Purification of Stevia extract to achieve specific glycoside content percentages
PTD Variation
Machine learning models predicting optimal cultivation conditions for maximizing RebM yield
Obviousness Reasoning
Computational approaches to optimizing agricultural processes are routine applications of data science in biotechnology, representing a predictable technological evolution
Source Patent Element
Stevia extract preparation from specific cultivars
PTD Variation
IoT sensor networks for real-time monitoring and environmental condition adjustment
Obviousness Reasoning
Integration of sensor technologies for precision agriculture is a known technique for improving crop management and yield optimization
Source Patent Element
Steviol glycoside composition with specific concentration parameters
PTD Variation
Smart packaging system enabling dynamic RebM content monitoring and control
Obviousness Reasoning
Product tracking and quality control technologies represent standard innovations in food science and biotechnology product development
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856972 and the disclosed technological variations, a Person Having Ordinary Skill In The Art would find the proposed innovations obvious and lacking inventive step. The systematic integration of machine learning, genome editing, precision farming, and digital tracking technologies represents predictable evolutionary improvements in Stevia glycoside production, thereby rendering potential patent claims obvious and anticipated by existing prior art.

Original Patent Information

Patent NumberUS 11,856,972
TitleStevia extracts
Assignee(s)THE COCA-COLA COMPANY, PURECIRCLE SDN BHD