Blar i NOFIMA vitenarkiv på tidsskrift "Applied Spectroscopy"
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Assessment of bulk composition of heterogeneous food matrices using Raman spectroscopy
(Peer reviewed; Journal article, 2021)Raman spectroscopy (RS) has for decades been considered a promising tool for food analysis, but widespread adoption has been held back by, e.g., high instrument costs and sampling limitations regarding heterogeneous samples. ... -
Chemical imaging of heterogeneous muscle foods using near-infrared hyperspectral imaging in transmission mode
(Peer reviewed; Journal article, 2016)Foods and biomaterials are, in general, heterogeneous and it is often a challenge to obtain spectral data which are representative for the chemical composition and distribution. This paper presents a setup for near-infrared ... -
Chemical imaging of heterogeneous muscle foods using near-infrared hyperspectral imaging in transmission mode
(Peer reviewed; Journal article, 2016)Foods and biomaterials are, in general, heterogeneous and it is often a challenge to obtain spectral data which are representative for the chemical composition and distribution. This paper presents a setup for near-infrared ... -
Feasibility of In-Line Raman Spectroscopy for Quality Assessment in Food Industry: How Fast Can We Go?
(Peer reviewed; Journal article, 2022)Raman spectroscopy is a viable tool within process analytical technologies due to recent technological advances. In this article, we evaluate the feasibility of Raman spectroscopy for in-line applications in the food ... -
Near-Infrared (NIR) Interactance System for Non-Contact Monitoring of the Temperature Profile of Baked Liver Pâté
(Peer reviewed; Journal article, 2011)This article investigates the possibility of using non-contact interactance as a method for profiling the temperature in a processed meat product (liver pâté) as it comes out of the oven. The application was defined by an ... -
Optimizing Savitzky-Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy
(Peer reviewed; Journal article, 2013)Calculating derivatives of spectral data by the Savitzky–Golay (SG)numerical algorithm is often used as a preliminary preprocessing step to resolve overlapping signals, enhance signal properties, and suppress unwanted ... -
Sample-Specific Prediction Error Measures in Spectroscopy
(Peer reviewed; Journal article, 2020)In applied spectroscopy, the purpose of multivariate calibration is almost exclusively to relate analyte concentrations and spectroscopic measurements. The multivariate calibration model provides estimates of analyte ...