A review of the application of near-infrared analysis technology in feed detection

Summary:

Key words: near infrared; feed detection

1 Theoretical basis and measurement advantages of near-infrared spectroscopy

2 Progress of near-infrared spectroscopy

2.1 Types and characteristics of near-infrared spectrometers

Filter type

Grating type

Fourier transform

Acousto-optic tunable filter

Fiber optic technology

2.2 Mathematical pretreatment techniques of spectra and their effects

Smoothing, Offset Correction, Detrend, MSC, SNV, derivative processing

2.3 Development of calibration technology

Calibration techniques such as MLR, PCR, PCA, ANN, LOCAL, etc.

2.4 Technical issues of near-infrared calibration model transmission

2.5 Factors affecting the accuracy of NIR prediction results

Calibration sample quantity, distribution and source

Calibration sample size, moisture, color

Test temperature, sampling uniformity

Chemical determination accuracy

Instrument stability factor

3 Evaluation index of near-infrared detection technology

4 Application of near infrared technology in feed detection

4.1 Determination of conventional nutrients

Moisture, crude protein, crude fat, minerals, fiber components

4.2 Determination of amino acids

Determination of amino acids and digestible amino acids in feeds and problems

4.3 Determination of energy

Including total energy, digestive energy, metabolic energy measurement and problems

4.4 Determination of special nutrients

VE

Phytase

fatty acid

Soy isoflavone

4.5 Feed safety applications

Anti-nutritional factors: gossypol, glucoside, phytic acid, glycinin and β-conglycinin, aflatoxin B1

Qualitative and quantitative detection of bovine and sheep source components

Qualitative and quantitative detection of fake products

5 Near Infrared Technology Issues and Prospects