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Abstract by Juan Antonio Fernández - Merging of
spectral datasets from different MIR instruments
used in the routine analysis of milk
This work is
performed in the framework of the OPTIMIR
project. It aims to develop innovative farm
management web applications based on the use of
infrared spectroscopy analysis of milk to enable
a sustainable and profitable management of the
milk production. Mid Infrared (MIR) spectroscopy
has been the method of choice worldwide for
quality control during routine milk testing. It
allows a fast, non destructive and screening
quantification of milk chemical properties, as
the content of fat, protein and lactose. In this
project, the MIR spectrum will be used with a
different purpose and will be considered as a
reflexion of cows’ state in order to obtain
indicators concerning fertility, health and
feeding among others. This innovative approach
of using MIR needs the support of important
spectral databases associated to reference
values for each of the properties to be studied.
For this reason, a large number of commercially
available MIR spectrometers from different
manufacturers installed in different
laboratories from four different countries were
used. Because of differences of the instrumental
responses between different MIR spectrometers,
spectra obtained on one instrument cannot
readily be compared to a library acquired on a
different instrument. Moreover, the use of
calibration models developed on an instrument
with MIR spectra obtained on another instrument
will usually lead to an increased uncertainty of
the prediction model. Then, spectral corrections
adapted to each instrument (standardization) are
needed. In this work, the piecewise direct
standardization (PDS) has been used in order to
reduce the inherent instrument to instrument
variability. The obtained results have shown a
very good correlation between all the spectra
and repeatable results across instruments, which
is an indication that a common database could be
constructed and would permit to develop MIR
breeding tools which should be easily
implemented in practice in many different
countries.
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