NIR transflectance spectroscopy was used to analyze fructose, glucose, and moisture in honey. A total of 161 honey samples were collected during 1992 (46), 1995 (58), and 1996 (57). Samples were analyzed by instrumental, enzymatic (fructose and glucose), and refractometric (moisture) methods. Initially, different calibrations were performed for each of the 3 years of sampling. Good predictions were obtained for all three components with equations of the particular year. But good predictions were not always obtained when the equations calculated one year were applied to samples from another year. To perform a lasting calibration, unique calibration (121 samples) and validation (40 samples) sets were built; honeys of the 3 years were included in both sets. Good statistics (bias, standard error of validation (SEV), and R(2)) were obtained for all three components of the validation set. No statistically significant differences (p = 0.05) were found between instrumental and reference methods.
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http://dx.doi.org/10.1021/jf000170v | DOI Listing |
Appl Spectrosc
December 2024
Chair of Waste Processing Technology and Waste Management, Department of Environmental and Energy Process Engineering, Montanuniversitaet Leoben, Leoben, Austria.
The low thickness of plastic films poses a challenge when using near-infrared (NIR) spectroscopy as it affects the spectral quality and classification. This research focuses on offering a solution to the challenge of classifying multilayer plastic film materials with a focus on polyolefin multilayer plastics. It presents the importance of spectral quality on accurate classification.
View Article and Find Full Text PDFInt J Pharm
December 2024
Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark.
Tablet content and content uniformity are essential for the market release of the drug product. For tablets, content and uniformity are determined by the weight ratio of active pharmaceutical ingredient in the tablet and the tablets' total mass. Novel process analytical technology tools for the control of the ratio of the active pharmaceutical ingredient have been proposed and implemented, but more robust, sensitive, and fast sensors for the control of tablet mass are desirable.
View Article and Find Full Text PDFFood Res Int
September 2024
Faculty of Agriculture and Forestry Engineering (ETSIAM), University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain. Electronic address:
In this study, an in-house validation of Visible and Near Infrared Spectroscopy was performed to distinguish between extra virgin olive oil (EVOO) and virgin olive oil (VOO). A total of 161 samples of olive oil of three different categories (EVOO, VOO and lampante (LOO)) were analysed by transflectance using a monochromator instrument. One-class models were initially developed using Partial Least Squares (PLS) Density Modelling to characterize EVOO and VOO category.
View Article and Find Full Text PDFJ Forensic Sci
September 2024
Department of Chemistry and Biochemistry, University of Mississippi, University, Mississippi, USA.
Automobile paint chips are a crucial piece of trace evidence for forensic investigators. This is because automotive paints are composed of multiple layers, including the primer, basecoat, and clearcoat, each of which has its own chemical composition that can vary by vehicle make, model, year, and manufacturing plant. Thus, Fourier-transform infrared (FTIR) spectral databases for automobile paint systems have been established to aid law enforcement in, for example, narrowing search parameters for a suspect's vehicle.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
November 2024
Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy. Electronic address:
Colorectal cancer is one of the most diagnosed types of cancer in developed countries. Current diagnostic methods are partly dependent on pathologist experience and laboratories instrumentation. In this study, we used Fourier Transform Infrared (FTIR) spectroscopy in transflection mode, combined with Principal Components Analysis followed by Linear Discriminant Analysis (PCA-LDA) and Partial Least Squares - Discriminant Analysis (PLS-DA), to build a classification algorithm to diagnose colon cancer in cell samples, based on absorption spectra measured in two spectral ranges of the mid-infrared spectrum.
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