Market Context — Why This Technology, Why Now

The global food industry is undergoing a significant transformation driven by stringent regulatory demands for food safety and increasing consumer scrutiny over product quality. Companies are seeking advanced automation and data-driven solutions to enhance operational efficiency, minimize recalls, and reduce environmental impact through waste reduction. This technology aligns perfectly with these trends, offering a robust solution to optimize critical sterilization processes and meet evolving market expectations.

Key Competitive Advantages
01

Improves cold spot identification accuracy by ~99% by using physical delay time calculation, eliminating sterilization inconsistencies and significantly enhancing product quality uniformity.

02

Reduces new product development lead time by up to 50% by streamlining the cold spot identification process through data-driven algorithms, which traditionally required extensive prototyping and validation.

03

Reduces food waste by up to 20% annually by minimizing quality degradation from over-sterilization and spoilage risks from under-sterilization, enabling optimal sterilization conditions.

Market Opportunity
Retort Food Manufacturing
$1B domestically (AI est.)
Product development is active, responding to convenience, shelf-life, and diverse dietary needs. Health consciousness and an aging society also drive growth.
Large-scale processed food manufacturers Private label food producers Food packaging solution providers
Food Quality Management Systems
$20B globally (AI est.)
Advanced quality control using AI and IoT is progressing. Stricter regulations and heightened consumer awareness are driving market expansion.
Food safety technology providers Industrial automation companies Software developers for food processing
Commercial Food Processing
$1.5B domestically (AI est.)
Increased demand from the foodservice and ready-meal industries. Quality stabilization and cost reduction in large-scale production are critical challenges.
Institutional food suppliers Central kitchen operators Food service equipment manufacturers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent provides strong protection for cold spot evaluation and sensor positioning in retort sterilization, a core aspect of food safety. Its unique algorithm for cold spot identification using delay time was granted after overcoming four prior art references and a rejection, indicating robust and stable claims that offer a significant technical advantage against imitation.

Competitive White Space

This patent focuses on the algorithmic identification of cold spots and sensor placement. It does not cover novel sensor hardware designs or advanced AI-driven predictive models for dynamic sterilization parameter adjustment.

Economic Impact
~$200K/year estimated quality assurance cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

In retort food manufacturing, assuming annual trial and validation costs for cold spot identification are ~$135K (AI est.) and product disposal losses due to uneven sterilization are ~$200K (AI est.). By implementing this technology, trial and validation costs could be reduced by 50% (saving ~$65K/year, AI est.) and product disposal losses by 30% (saving ~$60K/year, AI est.), totaling ~$125K/year (AI est.) in direct cost savings. Including indirect benefits like reduced brand damage and mitigated market opportunity loss, the total economic impact could exceed ~$200K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology's cold spot identification algorithm is established and designed as a software-based solution easily integrated into existing retort sterilization equipment. The delay time calculation logic, based on physical principles, has been validated, eliminating the need for licensees to conduct research and development from scratch. This could shorten a process that would take 3 years for in-house development to approximately 6 months for market deployment through licensing.
Competitive Positioning

X: Scientific Basis for Quality Assurance
Y: Development & Production Efficiency

Business Models & Applications
🤝 Technology Licensing
A model where licensees acquire rights to utilize this technology, integrating it into their retort food production lines or quality management systems to directly improve product quality and reduce costs.
💡 Solution Provision
A model offering cold spot identification and sensor positioning services, with this technology at its core, to food manufacturers. This enables the development of high-value businesses combining consulting and technology provision.
🔬 Collaborative R&D
A model for jointly developing applied technologies specialized for specific foods or sterilization processes through collaborative research with the patent holder, Toyo Food Research Institute, to jointly explore new markets.
Adjacent Application Opportunities
🌡️ Pharmaceutical Manufacturing
Sterilization Process Optimization for Aseptic Formulations
Applicable to cold spot identification in heat transfer during sterilization of media and solutions in aseptic pharmaceutical manufacturing. Given stringent quality assurance standards, this technology could enhance sterilization reliability, ensuring stable supply and safety of pharmaceutical products.
🍼 Dairy & Baby Food
Quality Preservation for Delicate Food Products
Applying this technology to the sterilization of heat-sensitive foods like dairy products and baby food could ensure microbiological safety without compromising flavor or nutritional value. Avoiding excessive heat exposure helps prevent product degradation, delivering high-quality products to consumers.
🔬 Bioprocesses
Enhanced Sterilization Efficiency for Culture Media
Applying this technology to the sterilization of culture media in biopharmaceutical and fermented food production could improve sterilization efficiency and reduce contamination risks. This has the potential to stabilize production processes and contribute to cost reduction.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Suitability Assessment & Data Collection
Duration: 3 months
Evaluate the suitability of this technology for the licensee's existing retort sterilization equipment and collect ambient temperature and product temperature data at multiple points for target products. Assess the potential for utilizing existing sensors.
Phase 2: Cold Spot Algorithm Adjustment & Validation
Duration: 6 months
Based on collected data, adjust this technology's delay time calculation algorithm to match the licensee's specific product characteristics. Subsequently, validate the accuracy of cold spot identification on a small-scale demonstration line.
Phase 3: Production Environment Deployment & Optimization
Duration: 3 months
Based on validation results, deploy this technology to the production line and finalize the optimal temperature sensor positions. Monitor operational data post-implementation to drive continuous process improvement.
Technical Feasibility
This technology primarily consists of a software algorithm for data acquisition and analysis from temperature sensors installed in existing retort sterilization equipment. It can utilize general-purpose temperature sensors that measure 'ambient temperature' and 'product temperature at multiple measurement positions' as described in the claims, thus avoiding large-scale capital investment. The focus will be on developing interfaces for data linkage and software customization, indicating high compatibility with existing systems and relatively easy implementation.
Success Scenario
If implemented, this technology could transform the retort sterilization cold spot identification process, traditionally reliant on experience and trial-and-error, into a data-driven scientific approach. This is estimated to reduce the time required for setting sterilization conditions for new products by up to 50%, significantly improving time-to-market. Furthermore, the product defect rate due to uneven sterilization could be reduced from the current 5% to below 1%, potentially contributing to tens of millions of dollars in annual waste reduction and enhanced brand value.
Patent Record
APPLICATION NO.
特願2020-167170
REGISTRATION NO.
7389005
FILING DATE
2020/10/01
GRANT DATE
2023/11/20
EXPIRATION DATE
2040/10/01
PATENT HOLDER
公益財団法人東洋食品研究所
Examination History
2023年01月11日
出願審査請求書
2023年08月29日
拒絶理由通知書
2023年10月06日
意見書
2023年10月06日
手続補正書（自発・内容）
2023年11月07日
特許査定