**Section 2**

**Cereals, Fruits and Plants** 

164 Infrared Spectroscopy – Life and Biomedical Sciences

Wyatt, J. S., Delpy, D. T., Cope, M., Wray, S., & Reynolds, E. O. R. (1986). Quantification of

spectrophotometry. *Lancet,* Vol.2, pp.1063-1066, ISSN 0140-6736

Cerebral oxygenation and hemodynamics in sick newborn-infants infrared

**11** 

*1Serbia 2Slovenia* 

**The Application of Near Infrared** 

Milica Pojić1, Jasna Mastilović1 and Nineta Majcen2

*1University of Novi Sad, Institute of Food Technology 2Metrology Institute of the Republic of Slovenia, Celje* 

[C] = [A][] + [] (1)

**Spectroscopy in Wheat Quality Control** 

The application of near infrared spectroscopic technique for the quantitative analysis of food products and commodities is nowadays widely accepted. However, 160 years passed from the discover of near infrared part of the spectrum to its first analytical application which is related to the work of Karl Norris who firstly demonstrated the potential of the NIRS in quantitative analysis particularly for prediction of moisture and protein content in wheat. The intense development of this technique during the last 50 years has been challenged by the development of powerful computers, softwares and chemometric tools, since the NIRS data processing is quite demanding task. The near infrared spectroscopy is an instrumental technique based on measuring the intensity of reflectance or intensity of transmission of radiation from the near infrared region of the electromagnetic spectrum (800-2500 nm) by the test sample. The intensity of the reflection and transmission depends on the rate of absorption of radiation by the sample, which leads to excitation of hydrogen bonds (CH, NH, OH). As the tested samples are very complex in composition, it happens that on the same wavelength, several organic bonds involving hydrogen vibrate producing overlapped spectral bands. Therefore, the resulting NIR spectrum looks like a slightly wavy line with no clearly defined features, with very broad and overlapped molecular overtone and combination bands, which complicate to assign them to specific chemical constituent and make impossible to determine the direct relationship between the concentration of

Due to the significant overlapping of NIR bands, the prerequisite for the NIRS application is the development of the calibration model which relates the concentration of certain analyte found in a sample to the spectral data collected from that sample. Calibration model development process implies the extraction of useful information from the NIR spectra by applying chemometrics methods. Multivariate calibration techniques (e.g. principal components analysis, partial least squares, or artificial neural networks) are often employed to extract the desired chemical information from the spectral data. Calibration model allows relating the NIR optical data with the compound (or property) of interest that is used to

ingredients of interest and the absorbed radiation energy (Fig. 1).

define the quality of the sample:

**1. Introduction** 
