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Posts Tagged ‘chemometrics’

Chemometrics/Fruit Analysis

Posted on: February 11th, 2021

The application of visible (400 nm to 750 nm) and near-infrared red (750 nm to 2500 nm) region spectroscopy to assess fruit and vegetables is an efficient way to measure the properties of the fruit, as opposed to multi or hyperspectral imaging. Vis spectroscopy targets color assessment and pigment analysis, while NIR spectroscopy has been applied to…

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Chemometric Model and Absorption of Protein Powder

Posted on: September 28th, 2020

Absorption measurements can be used to determine the properties of various samples, such as concentrations of chemicals and the quality of plastics. Not only can absorption spectra be used to identify the characteristics of many types of samples, but it can also be used to characterize the unique spectra of each sample to generate a…

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Model for the Identification of Edible Oils

Posted on: February 26th, 2020

Background/Applications: Absorption measurements can be used to determine the properties of various samples, such as concentrations of chemicals and the quality of plastics. Not only can absorption spectra be used to identify the characteristics of many types of samples, but it can also be used to characterize the unique spectra of each sample to generate…

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NIR Grain Analysis

Posted on: November 21st, 2019

Conducted by: David Ademe, Avantes Inc. Theme: Grains/Agriculture Background/Applications: Absorption and reflection measurements can be used to determine the freshness of various crops, from fruits and vegetables to even grains. Not only can reflection and absorption spectra be used to identify the properties of different types of grains through chemometric models, but it can also…

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CBD Oil Chemometrics Example

Posted on: May 21st, 2019

For the featured spectra of the month, the Avantes team ran a series of experiments for a local Louisville, Colorado producer of hemp and CBD oils and extracts and developed a simple chemometric model for CBD concentration in the process using Panorama © Software from LabCognition.

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