Composition and nutritional value
Determine protein and CHNS/O composition in ingredients, raw materials and finished products.
View equipment for this pathway →Composition, origin and quality control. Solutions for elemental composition, protein, botanical and geographical origin, adulteration and traceability of food and beverages.
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Determine protein and CHNS/O composition in ingredients, raw materials and finished products.
View equipment for this pathway →Verify botanical or geographical origin and identify dilution or substitution in beverages, honey, sugars, oils and other products.
View equipment for this pathway →Assess phenolic compounds, dyes, deterioration and adulteration using absorbance, fluorescence and A-TEEM.
View equipment for this pathway →Quantify metals and trace elements and investigate dioxins, furans and persistent organic pollutants in foods, ingredients and beverages.
View equipment for this pathway →Platforms are organized by analytical objective, making them easier to compare without losing technical context.
Elemental quantification for the control of raw materials, formulations and finished products.
Isotope ratios and dedicated methods for traceability, origin and adulteration detection.
Optical signatures for screening, quality control and investigation of matrix changes.
A-TEEM fingerprints for wine quality, phenolic compounds, and the identification of adulteration or deterioration in olive oils and beverages.
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Fluorescence and absorbance for rapid screening of dyes and fluorescent compounds, olive-oil assessment, and adulteration studies in ingredients such as saffron.
See technical page →Multielement analysis and high selectivity for regulated contaminants in foods, ingredients and beverages.
Multielement quantification of metal contaminants and trace elements after appropriate sample preparation.
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The selection should consider the complete analytical flow, not just the detector.
Identify analytes, matrix, concentration range and information that should be obtained.
Related preparation, sample introduction, measurement technique and infrastructure requirements.
Evaluate automation, throughput, calibration, consumables, training and support.
Report matrix, analytes, expected range and sample routine for an initial technical evaluation.