Fourier transform infrared (FT-IR) spectroscopy is a simple, rapid, and reliable technique that has been widely researched and applied for analysis of food components, which can identify types of chemical bonds in a molecule by producing an infrared absorption spectrum that is like a molecular "fingerprint". FTIR combined with chemometrics, including SIMCA and PLS, makes it a strong technique to identify unknown materials, determine the quality or consistency of a sample, and determine the amount of components in a mixture. The world snack food market reached an estimated $66 billion in 2003, with the United States accounting for about a third of it. However the sensor devices currently available are not suitable in a food process...
Thanks to what has been achieved by the Fourier transform, infrared spectrometry can now become a st...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...
Testing of foods to ensure safety and quality is the cornerstone of a successful food quality assura...
Fourier transform infrared (FT-IR) spectroscopy is a physico-chemical method based on measurement of...
Over the past years, infrared spectroscopy (IRS) has proved to be one of the most efficient and adva...
Over the past years, infrared spectroscopy (IRS) has proved to be one of the most efficient and adva...
A variety of analytical methods is used in both, academia and industry for the analysis of food and ...
The methods of vibrational spectroscopy, such as NIR and FT-IR, are fast and easy to use fingerprint...
Foodomics has been defined by as a new discipline that studies both the food and nutritional domain ...
Public interest in food quality and methods of production has increased significantly in recent deca...
Currently, the authentication analysis of edible fats and oils is an emerging issue not only by prod...
Mid InfraRed (MIR) spectrometry is traditionally applied for quantitative determination of major com...
The application of Fourier transform infrared (FTIR) spectroscopy in the assessment of oil quality a...
The use of Fourier transform infrared (FT-IR) spectroscopy as a method for routine analysis of the d...
Thanks to what has been achieved by the Fourier transform, infrared spectrometry can now become a st...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...
Testing of foods to ensure safety and quality is the cornerstone of a successful food quality assura...
Fourier transform infrared (FT-IR) spectroscopy is a physico-chemical method based on measurement of...
Over the past years, infrared spectroscopy (IRS) has proved to be one of the most efficient and adva...
Over the past years, infrared spectroscopy (IRS) has proved to be one of the most efficient and adva...
A variety of analytical methods is used in both, academia and industry for the analysis of food and ...
The methods of vibrational spectroscopy, such as NIR and FT-IR, are fast and easy to use fingerprint...
Foodomics has been defined by as a new discipline that studies both the food and nutritional domain ...
Public interest in food quality and methods of production has increased significantly in recent deca...
Currently, the authentication analysis of edible fats and oils is an emerging issue not only by prod...
Mid InfraRed (MIR) spectrometry is traditionally applied for quantitative determination of major com...
The application of Fourier transform infrared (FTIR) spectroscopy in the assessment of oil quality a...
The use of Fourier transform infrared (FT-IR) spectroscopy as a method for routine analysis of the d...
Thanks to what has been achieved by the Fourier transform, infrared spectrometry can now become a st...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...
Infrared (IR) spectroscopy has been widely used for component analysis because it is simple, fast, a...