Introducing a technology that provides rapid assessment of abnormal milk samples using infrared spectroscopy!
In this document, we introduce "Abnormal Milk Spectrum Screening." We explain the reasons for multivariate analysis, multivariate data analysis PCA, abnormal milk samples (outliers), the procedure of ASM, calibration models, and more. Abnormal milk spectrum screening is a rapid screening method that utilizes principal component analysis (PCA) to extract important information about hidden contaminants in raw milk. 【Contents (partial)】 ■ Why multivariate analysis? ■ Multivariate data analysis PCA ■ Abnormal milk samples (outliers) ■ Procedure of ASM ■ Calibration model ■ Number of factors *For more details, please download the PDF or feel free to contact us.
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【Other Published Content】 ■Threshold ■Limit of Detection (LOD) ■Summary *For more details, please download the PDF or feel free to contact us.
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Download All Catalogs![[Data] Abnormal Milk Screening Using FT-IR Application](https://image.mono.ipros.com/public/catalog/image/01/c09/798671/IPROS7571106355563308242.jpeg?w=120&h=170)
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Our company was established in 1974 and specializes in the development and manufacturing of analytical instruments. We provide fast and reliable optimized solutions for daily management of quality and processes across the entire supply chain in the fields of agricultural products, food, pharmaceuticals, and chemical products. Our concept focuses on reducing time in production processes, utilizing raw materials more efficiently, producing stable high-quality products, and optimizing food safety, delivering high-precision and user-friendly analytical instruments to our customers.
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