Establishing a predictive model for total fat content in Lipomyces starkeyi CBS 1807 by FT-NIR analysis
This study investigates the potential of using near- infrared spectroscopy (FT-NIR) to establish a predictive model for total fat content in the oleaginous yeast Lipomyces strakeyi CBS 1807. FT-NIR- based quantification allows for rapid lipid determination compared to traditional extraction methods....
| Main Author: | |
|---|---|
| Format: | M2 |
| Language: | Inglés |
| Published: |
SLU/Department of Molecular Sciences
2018
|
| Subjects: |
Similar Items: Establishing a predictive model for total fat content in Lipomyces starkeyi CBS 1807 by FT-NIR analysis
- Prediction of soil nutrients through PLSR and SVMR models by VIs-NIR reflectance spectroscopy
- Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
- NIR instruments and prediction methods for rapid access to grain protein content in multiple cereals
- Análisis de calidad de cervezas mediante tecnología NIRS
- Fritt T4 hos katt : referensvärden och användbarhet vid diagnostik av hypertyreos
- Establecimiento y validación de curvas de calibración NIRS para determinar la calidad química del jamón Virginia