scholarly journals Research on Protein Content and Total Nitrogen and a Cob of Maize Strains by FT-NIR Spectrometry

1970 ◽  
Vol 66 (1) ◽  
Author(s):  
Ioan ROTAR ◽  
Laura Monica DALE ◽  
Roxana VIDICAN ◽  
Alin Mogos ◽  
Ovidiu Ceclan
Keyword(s):  
Total Nitrogen ◽  
Agricultural Development ◽  
Near Infrared ◽  
Direct Analysis ◽  
Infrared Spectrometry ◽  
Physico Chemical ◽  
Kjeldahl Method ◽  
Near Infrared Spectrometry ◽  
Maize Stalks

Using Near Infrared Spectrometry has become lately quite a developed technique in the different physico-chemical parameters of the feed as a procedure is extremely elegant and precise use. This paper aims to highlight a way of direct analysis method undestructive protein and total nitrogen using near infrared spectrometry in conjunction with reflected attenuated total. Tests were conducted on samples of maize cob and maize stalks from The Research - Agricultural Development Turda. Samples done at each variant separately. Each sample was subjected to destructive method calculations: Kjeldahl method for determinating the protein, and then collected with NIR spectrum. We have built mathematical models for both the cob and stalks, based on these techniques and multivariated analysis allows the determination of an error prediction for the best protein 0.5% and the total nitrogen of 0.1%.

scholarly journals Research on Crude Fat and Crude Fiber Content on Maize Cob and Strains by FT-NIR Spectrum

2010 ◽  
Vol 67 (1) ◽  
Author(s):  
Laura Monica DALE ◽  
Ioan ROTAR ◽  
Roxana VIDICAN ◽  
Anca BOGDAN ◽  
Gratian BUDUREA
Keyword(s):  
Agricultural Development ◽  
Near Infrared ◽  
Direct Analysis ◽  
Crude Fiber ◽  
Infrared Spectrometry ◽  
Crude Fiber Content ◽  
Physico Chemical ◽  
Soxhlet Method ◽  
Near Infrared Spectrometry ◽  
Maize Cob

Using Near Infrared Spectrometry has become lately quite a developed technique in the different physico-chemical parameters of the feed as a procedure is extremely elegant and precise use. This paper aims to highlight a way of direct analysis method undestructive crude fat and crude fiber using near infrared spectrometry in conjunction with reflected attenuated total. Tests were conducted on samples of maize cob and maize strains from The Research - Agricultural Development Turda. Samples done at each variant separately. Each sample was subjected to destructive method, Soxhlet method for determinating the crude fat and Hennenberg - Stohmann for crude fiber and then they were collected with NIR spectrum. We have built mathematical models for both the cob and strains, based on these techniques and multivariated analysis allows the determination of an error prediction for the best crude fat 0.71% and the crude fiber of 0.34%.

Flow-injection determination of water in organic solvents by near-infrared spectrometry

1993 ◽  
Vol 281 (2) ◽  
pp. 259-264 ◽  
Author(s):  
Salvador Garrigues ◽  
Máximo Gallignani ◽  
Miguel de la Guardia
Keyword(s):  
Organic Solvents ◽  
Flow Injection ◽  
Near Infrared ◽  
Infrared Spectrometry ◽  
Near Infrared Spectrometry

On-line non-destructive determination of proteins and infiltrated fat in Iberian pork loin by near infrared spectrometry with a remote reflectance fibre optic probe

2002 ◽  
Vol 453 (2) ◽  
pp. 281-288 ◽  
Author(s):  
Inmaculada González-Martı́n ◽  
Claudio González-Pérez ◽  
Jesús Hernández-Méndez ◽  
Noelia Alvarez-Garcı́a ◽  
José-Luis Hernández Andaluz
Keyword(s):  
Near Infrared ◽  
Infrared Spectrometry ◽  
Fibre Optic ◽  
Fibre Optic Probe ◽  
On Line ◽  
Near Infrared Spectrometry ◽  
Pork Loin ◽  
Optic Probe ◽  
Non Destructive

Spectral Amplification in near Infrared Spectrometry

1998 ◽  
Vol 6 (A) ◽  
pp. A207-A210
Author(s):  
Marc Meurens
Keyword(s):  
Prediction Error ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Infrared Spectrometry ◽  
Chemical Analyses ◽  
Wavelength Selection ◽  
Near Infrared Spectrometry

“SPECTRAL AMPLIFICATION” is the significant name of a new algorithm of wavelength selection developed to improve the precision of the partial least squares (PLS) calibration of near infrared a (NIR) spectrometer for quantitative chemical analyses. This algorithm amplifies selectively some spectral data by mutiplicative coefficients so that they are predominant in the spectra and lower the prediction error of the PLS calibration. The poster presents a demonstration of “spectral amplification” in the determination of moisture on milk powders by NIR diffuse reflectance spectroscopy.

Sign in / Sign up

Export Citation Format

Share Document