Monitoring Pork Fat Rendering with NIR
BUCHI NIR-Online® sensors: Determination of Free Fatty Acids, Iodine Value (IV), Peroxide Value (PV), and Moisture
NIR spectroscopy has emerged as a powerful tool for quality control in the pork fat rendering industry. It can quantify essential quality indicators such as moisture content, free fatty acids, protein, iodine value, or peroxide values.
The implementation of NIR spectroscopy in the pork fat rendering process offers several advantages. Firstly, it significantly reduces the need for time-consuming and costly traditional laboratory methods, promoting real-time analysis and process optimization. Secondly, the non-destructive nature of the technique allows for continuous monitoring without compromising the integrity of the product. As a result, pork fat rendering companies can enhance product consistency, optimize resource utilization, and maintain high-quality standards, leading to improved efficiency and profitability in the industry.
Find out how NIR-Online sensors can be applied to monitor the melting of pork fat in this application note.
S'inscrire pour télécharger
Instruments correspondants
Applications similaires
Guide complet de l’analyse de l’alimentation
Ce guide présente un résumé complet de la façon dont le proche infrarouge (NIR) et les méthodes de référence, telles que l’extraction de matières grasses et la méthode Kjeldahl de détermination des protéines, sont utilisés à chaque étape de la chaîne de transformation des aliments. Vous aurez ainsi un aperçu détaillé des techniques, notamment la préparation d’échantillons, les dispositions réglementaires, le dépannage, les questions fréquemment posées (FAQ) et les études propres à un cas.
Monitoring the Degumming Step of Crude Oils
The implementation of a BUCHI NIR-Online® process sensor after the degumming step provides full quality control of degummed oil. Within milli-seconds, different parameters such as phosphorus, moisure or free fatty acids, are continuously, simultaneously, and accurately measured with NIR.