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  6. Foreign Object Detection in Food Using SIMCA

Foreign Object Detection in Food Using SIMCA

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last updated:Jan 16, 2026

インフォコム サイエンスグループ
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Efficient detection of foreign substances in food using multivariate analysis!

In the food industry, foreign object contamination is a significant issue that not only undermines the quality and safety of products but also leads to a loss of trust in companies. Detecting foreign objects is crucial for protecting consumer health. SIMCA supports foreign object detection in food quality management using multivariate analysis. This enables rapid and accurate detection of foreign objects, thereby enhancing food safety. 【Use Cases】 - Risk assessment of foreign object contamination in food manufacturing lines - Quality evaluation of raw materials and identification of potential foreign object contamination - Anomaly detection in the manufacturing process 【Benefits of Implementation】 - Improved accuracy of foreign object detection - Increased efficiency in quality management - Enhanced food safety

    Statistical analysisOther analysis software
SIMCA

Foreign Object Detection in Food Using SIMCA

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SIMCA top.jpg algorithm3.png Explore2.png spec.png 無題.png umetrics-suite.png
  • SIMCA Basic Webinar on January 7th (for those who want to start with SIMCA and multivariate analysis for the first time)
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【Features】 - Equipped with Principal Component Analysis (PCA) for data overview analysis - Includes the OPLS regression model, which is a superior version of PLS - Incorporates the OPLS-DA classification model, which is a superior version of PLS-DA - Features the SIMCA method to create PCA-Class from existing data and classify unknown samples 【Our Strengths】 We provide advanced software sales, implementation support, and technical support for researchers both domestically and internationally. We support a wide range of research and development activities and deliver IT solutions that are compatible with cutting-edge technologies.

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Analysis of data obtained from mass spectrometry (GCMS, LCMS) Analyzing sensory evaluation and survey data from Excel to understand overall trends and important factors (variables) Analysis of spectral data from mixture analysis (such as IR, NIR) including data correction methods like first derivative and MSC, along with their validation Supporting the resolution of origin fraud issues by identifying existing origins from spectral data obtained through non-destructive testing of unknown samples

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We provide advanced software sales, implementation support, and technical assistance for researchers both domestically and internationally. We support a wide range of research and development activities and deliver IT solutions that are compatible with cutting-edge technologies. By collaborating closely with many developers and related companies, we assist research activities by providing solutions optimized for our customers' needs. Based on over 30 years of rich experience and achievements, we propose solutions that combine effective software products and services, contributing to the digital transformation challenges and improvements in informatics in research settings. As a partner supporting our customers' research and development, we will achieve innovation and growth together.

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