NIR spectra are the result of the interaction of radiation with the
sample, and their physical and chemical properties are reflected in
it. The interactions occur with molecular groups associated with
quality attributes such as the C–H group in sugars and acids and
the O–H group in the water. Most of the NIR absorption bands
associated with these groups is overtones or combination bands
of the fundamental absorption bands in the near infrared region,
which are themselves due to vibrational and rotational transitions
(Nicolai et al., 2007). Scattering from microstructures can indirectly
indicate physical parameters (Nicolai et al., 2007). The measurement
modes most often used for the prediction of SSC and TA
in intact fruits are reflectance, transmittance and interactance.
Reflectance is the easiest operating mode to obtain measurements,
since no contact with the fruit is required and light levels are relatively
high. These spectra can then be manipulated using multivariate
data analysis techniques to develop prediction models for
NIR spectra are the result of the interaction of radiation with thesample, and their physical and chemical properties are reflected init. The interactions occur with molecular groups associated withquality attributes such as the C–H group in sugars and acids andthe O–H group in the water. Most of the NIR absorption bandsassociated with these groups is overtones or combination bandsof the fundamental absorption bands in the near infrared region,which are themselves due to vibrational and rotational transitions(Nicolai et al., 2007). Scattering from microstructures can indirectlyindicate physical parameters (Nicolai et al., 2007). The measurementmodes most often used for the prediction of SSC and TAin intact fruits are reflectance, transmittance and interactance.Reflectance is the easiest operating mode to obtain measurements,since no contact with the fruit is required and light levels are relativelyhigh. These spectra can then be manipulated using multivariatedata analysis techniques to develop prediction models for
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