Abstract/Details

Intra and inter-brand calibration transfer for near infrared spectrometers


2009 2009

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Abstract (summary)

Robust modeling methods were implemented for the transfer of near-infrared calibration models in intra and inter-brand situations. A network of four instruments from two brands (Foss Infratecs and Bruins OmegAnalyzerGs) was used to implement spectral pretreatment methods, local and variable selection techniques, and orthogonal methods to transfer protein, oil, and linolenic acid models across instruments of the same brand and across instruments of different brands. A total of fifty seven techniques were implemented among which spectral filtering methods based on the smoothing of high frequency components of Fourier and wavelet transforms. A new approach to local similarity was introduced. Results showed that the effectiveness of the various methods was instrument, parameter, and validation set dependent. In some situations, no differences could be observed between master and secondary unit predictions. Local methods appeared to be the weakest methods, most likely due to a problem of over-fitting (specialization) of the calibration set. The transfer of calibrations across brands was possible with performances similar, or better, than in intra-brand calibration transfer.

Indexing (details)


Subject
Statistics;
Analytical chemistry
Classification
0463: Statistics
0486: Analytical chemistry
Identifier / keyword
Pure sciences; Calibration transfer; Chemometrics; Near-infrared spectroscopy; Soybeans; Standardization
Title
Intra and inter-brand calibration transfer for near infrared spectrometers
Author
Igne, Benoit
Number of pages
162
Publication year
2009
Degree date
2009
School code
0097
Source
DAI-B 70/05, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781109143362
Advisor
Hurburgh, Charles R.
Committee member
Bern, Carl J.; Dixon, Philip M.; Jung, Stephanie; Steward, Brian L.
University/institution
Iowa State University
Department
Agricultural and Biosystems Engineering
University location
United States -- Iowa
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3355508
ProQuest document ID
304902000
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304902000
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