title: Evaluating Spectral Signals to Identify Spectral Error.
abstract: Since the precision and accuracy level of a chemometric model is highly influenced by the quality of the raw spectral data, it is very important to evaluate the recorded spectra and describe the erroneous regions before qualitative and quantitative analyses or detailed band assignment. This paper provides a collection of basic spectral analytical procedures and demonstrates their applicability in detecting errors of near infrared data. Evaluation methods based on standard deviation, coefficient of variation, mean centering and smoothing techniques are presented. Applications of derivatives with various gap sizes, even below the bandpass of the spectrometer, are shown to evaluate the level of spectral errors and find their origin. The possibility for prudent measurement of the third overtone region of water is also highlighted by evaluation of a complex data recorded with various spectrometers.
authors.affiliation: Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.|Institute of Food and Agricultural Product Qualification, Faculty of Agricultural and Environmental Sciences, Kaposvar University, Kaposvar, Hungary.
authors.forename: George
authors.initials: G
authors.lastname: Bazar
authors.affiliation: Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.|Department of Physics and Control, Faculty of Food Science, Corvinus University of Budapest, Budapest, Hungary.
authors.forename: Zoltan
authors.initials: Z
authors.lastname: Kovacs
authors.affiliation: Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.
authors.forename: Roumiana
authors.initials: R
authors.lastname: Tsenkova
mesh_terms: D002138:Calibration; D008962:Models, Theoretical; D019265:Spectroscopy, Near-Infrared / Q000379:methods*