The NIRS Analysis Of Fish Meal, Concentrate Supplement And MBM Content Inside

The measurement of feed quality is a crucial technical method to ensure the quality and safety of feed products. In order to investigate the method of near infrared reflectance spectroscopy (NIRS) technology for rapidly analysis of the chemical composition and meat and bone(MBM) content in fishmeal and concentrate supplement, 145 fishmeal samples, 151 concentrate supplement samples and 34 meat and bone meal(MBM) samples were collected, and deliberately adulterated with meat and bone meal (MBM) in the different proportion (fishmeal at 5-60%, concentrate supplement at 0.5-7%). the samples were scanned at the NIRS region 1000 cm^-14000cm(-1). The calibration models to predict the chemical conposition and amino acid in fishmeal, the chemical conposition and gross energy, the MBM content in fishmeal and concentrate supplement were developed using partial least squares (PLS) technique. The results were as follows:1 .The coefficient of determination in calibration (R²) of moisture, crude protein, crude fat, crude ash, total phosphor in fishmeal were all over 0.90, the RSD all less than 10%, and the RPD all over 3; the R² of NaCl was 0.8782, the RSD and RPD of salt were 9.86% and 2.98 respectively; the R² of Calcium was 0.7575, the RSD and RPD of calcium were 17.81% and 2.14 respectively. The results shows that NIRS analysis technique could be adopted to correctly measure the content of moisture, crude protein, crude fat, crude ash and total phosphor in fishmeal, and to predict salt content roughly. However, it could hardly be employed on measurement of Calcium content in practice.2.The coefficient of determination in calibration (R² ) of chemical analysis value and NIRS prediction value of aspartic acid, methionine, lysine, threonine, glutamic acid, glycine, alanine, valine, isoleucine, leucine, phenylalanine, arginine, proline and total amino acid were all over 0.87, the RSD all less than 10%, RPD all over 3; the R² of Tyrosine was 0.8678, the RSD was 8.65, the RPD was 2.77; the R² for histidine, serine and cysteine were 0.9005, 0.7436 and 0.3541 respectively, the RSD were 14.19%, 17.859% and 33.85% respectively, the RPD were 2.96, 1.98 and 1.04 respectively. The results shows that NIRS analysis technique could be used to measure the contents of 14 kinds of amino acids, such as aspartic acid, methionine, lysine, threonine and total amino acid in fish meal accurately and to predict Tyrosine content roughly. However, it can hardly be employed to measure histidine, serine and cysteine content in practice.3. The coefficient of determination in calibration (R²) of moisture, crude protein, crude fat, crude ash, total phosphor, salt, crude fiber and gross energy in concentrate supplement were all over 0.90, the RSD all less than 10%, the RPD all over 3. The results shows that NIRS analysis technique could be used to quantitatively predict the contents of moisture, crude protein, crude fat, crude ash, crude fiber, total phosphor, salt, and gross energy in concentrate supplement, and a good measuring precision could be expected.4.The NIRS quantitative analysis model was developed for measuring meat and bone meal(MBM) in fish meal. The coefficient of determination (R²) and standard errors (RMSEC) in calibration sets were0.9509 and 3.222 respectively; the RSD and the RPD were 9.25 and 4.79 respectively. The coefficient of determination (r⁾ and standard errors (RMSEP) in validation sets were 0.9668 and 2.68 respectively; the RSD and the RPD were 9.325 and 5.484 respectively. The results shows that it is feasible to employ NIRS analysis technique to quantitatively measure the MBM content in fish meal with a good measuring precision.5.The NIRS quantitative analysis model was developed for measuring meat and bone meal content in concentrate supplement. The coefficient of determination R² and standard errors (RMSEC) in calibration sets were 0.9447 and 0.392 respectively; the RSD and RPD 9.63 and 4.73 respectively. The coefficient of determination r² and standard errors (RMSEP) in validation sets were 0.9618 and 0.345 respect...