infralum ft - 10 near-ir ft spectrometer near infrared analyzer certification
TRANSCRIPT
InfraLum FT - 10InfraLum FT - 10NEAR-IR FT SPECTROMETERNEAR-IR FT SPECTROMETER
Near Infrared Analyzer Near Infrared Analyzer
CERTIFICATIONCERTIFICATION
DEVICE LAYOUTDEVICE LAYOUT
LightSource
Interferometer Optical Unit
Sample Compartment
DetectorElrctronic
Processingsystem
ADVANTAGEADVANTAGESS
Simultaneous determination of several components in a couple of minutes
No consumption of reagents
Simple in use
No sample preparation
Non-destructive analysis
Development. transfer, and modification of calibration models
CALIBRATIONCALIBRATION
Input the reference data
Measure the reference spectra
Take a Sample
Fill a Cell
Placethe Cell
Define a project
Analyzersettings
Calculate the calibration
Define the analysis method
Test the calibration Training data set is collected, and the parameters of interest are
measured using reference methods Near infrared spectra of the samples from the training data set are
recorded Using the spectral responses of the samples and the reference
data, calibration models are built suing chemometic algorithms The parameters of interest of unknown samples are determined
using the spectral data of the sample against the calibration model
ROUTINE MEASUREMENTROUTINE MEASUREMENT
Take a Sample
Fill a Cell
Placethe Cell
Measure
Complete a Report
Take a Sample
ROUTINE MEASUREMENTROUTINE MEASUREMENT
Take a Sample
Fill a Cell
Placethe Cell
Measure
Complete a Report
Fill a Cell
ROUTINE MEASUREMENTROUTINE MEASUREMENT
Take a Sample
Fill a Cell
Placethe Cell
Measure
Complete a Report
Placethe Cell
ROUTINE MEASUREMENTROUTINE MEASUREMENT
Take a Sample
Fill a Cell
Placethe Cell
Measure
Complete a Report
Measure
ROUTINE MEASUREMENTROUTINE MEASUREMENT
Take a Sample
Fill a Cell
Placethe Cell
Measure
Complete a Report
Complete a Report
MAIN APPLICATIONSMAIN APPLICATIONS
Whole grain analysis (wheat)
Mixed feed analysis (different types)
Whole grain analysis (barley)
MAIN APPLICATIONSMAIN APPLICATIONS
Agriculture and food industry fast determinationof quality control
parameters of agricultural products Quality control of raw materials,
finished products, and waste Monitoring of technological
processes
Veterinary monitoring
control of composition and quality of feed and fodder
Fertilizers
determination of composition of raw materials
Scientific research
control of hardness of cellulose and whiteness and quality of paper in technological processes
Pulp and paper industry
determination of composition of raw materials
Metallurgy
ANALYSIS EXAMPLEANALYSIS EXAMPLE
The NIR spectrum of a fish flour sample
PARAMETERPARAMETER
Sample wheat rye Corn Soy beans and flourgrain flour grain flour
Protein • • • •
Moisture • • • • • •
Fat • • • •
Gluten • •
Ashes • • •
Glassiness •
Whiteness •
Sort • •
Size •
Sugar •
Starch •
PARAMETERPARAMETER
Samle Mixed Fodder Wheat, barley, oats, oilcake, meat-meal
Fish flour
Raw protein • • •Moisture • • •Raw fat • • •Metabolic energy • • •
Raw ash • • •
Acidity •Phosphorus • • •Calcium • • •Fiber • •Protein
Ash
Lipides
PARAMETERPARAMETER
Sample Brewing barley Dry milk Curd
Protein • •
Moisture • • •
Acidity •
Extract content •
Protein •
Ash •
Fat • •
HARDWEARHARDWEAR
Names Specification
Optical System Single Beam Optics
Interferometer “Double Cats Eye” interferometer, Sealed and Desiccated
Beam Splitter Multi-layer coated quartz plate
Light Source Tungsten halogen lamp
Detector Silicon photodiode
Size 580х515х295 mm
Weight 37 kg
Power Requirements 110/220Vac, 60/50 Hz
Operating Conditions Temperature: 10oC to 35oC, Humidity: Below 80%
SPECIFICATIONSSPECIFICATIONS
Names Specification
Spectral resolution 0.8 – 1.6 nm
Spectral range 800 – 1163 nm
(12500 – 8600 cm-1)
Wavenumber accuracy < 0.1 nm
Noise level of 100% line < 0.1 % (peak to peak)
Photometric accuracy 0.1 % T
Spectral
SPECIFICATIONSSPECIFICATIONS
AnalyticalNames Specification
Typical analysis time 2 3 min
Number of measured points Up to 30
Cell volume 3 60 cm3 (depending on type)
Cell pathlengths 1.5 to 27 mm
Accuracy (systematic relative error of the control sample parameters)
2.0 %
Long-term scatter (relative, r.m.s.) 0.1%
Short-term scatter (relative, r.m.s.) 0.05%