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Fish meal analysis by near-infrared spectroscopy

AN-NIR-148

2026-08

Fish meal analysis by near-infrared spectroscopy

NIR spectroscopy reduces analysis time from hours to seconds


Summary

Regarding animal nutrition, fish meal is a premium source of omega-3 fatty acids, protein, and essential minerals. Due to its nutritional properties, it is not only widely used in aquaculture, but also as an additive to swine feed and poultry feed. To analyze the main quality components of fish meal, such as fiber, fat, protein, moisture, and ash content, multiple wet chemistry methods are usually needed.

Instead of waiting hours for the results from these wet chemical techniques, near-infrared spectroscopy (NIRS) delivers results within seconds without the use of chemicals. This allows manufacturers to execute frequent checks against product specifications and perform fish meal quality control with ease.


Experimental equipment

The OMNIS NIR Analyzer Solid from Metrohm.
Figure 1. The OMNIS NIR Analyzer Solid from Metrohm.

More than 1700 samples of fish meal from different suppliers were analyzed with an OMNIS NIR Analyzer Solid (Figure 1) and a large sample cup. Every fish meal powder sample was measured in reflection measurement mode at five different positions to create an average spectrum. This minimizes sample inhomogeneities and results in a more representative NIR spectrum. Model development and validation was performed with the OMNIS Software.


Configuration


Result

The collected NIR spectra of fish meal samples (Figure 2) were used to create prediction models for the following parameters: protein, fat, moisture, ash, and fiber content. To validate the models, 25% of the data set was used to create an independent validation set. Correlation diagrams which display the relation between the NIR prediction and the lab values measured with standard methods are shown in Figures 3–8 together with the respective figures of merit (FOM). The standard errors displayed of cross validation (SECV) and standard errors of prediction (SEP) show the expected accuracy during routine analysis of fish meal in QC laboratories.

Spectral overlay of fish meal powder samples measured in reflection mode with an OMNIS NIR Analyzer Solid.
Figure 2. Spectral overlay of fish meal powder samples measured in reflection mode with an OMNIS NIR Analyzer Solid.

Result protein content

Correlation diagram and the respective FOMs for the prediction of protein content in fish meal using an OMNIS NIR Analyzer Solid.
Figure 3. Correlation diagram and the respective FOMs for the prediction of protein content in fish meal using an OMNIS NIR Analyzer Solid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2SEC (%)SECV (%)SEP (%)
0.9731.251.271.64

Result fat content

Correlation diagram and the respective FOMs for the prediction of fat content in fish meal using an OMNIS NIR Analyzer Solid.
Figure 4. Correlation diagram and the respective FOMs for the prediction of fat content in fish meal using an OMNIS NIR Analyzer Solid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2SEC (%)SECV (%)SEP (%)
0.9020.720.730.80

Result moisture content

Correlation diagram and the respective FOMs for the prediction of moisture content in fish meal using an OMNIS NIR Analyzer Solid.
Figure 5. Correlation diagram and the respective FOMs for the prediction of moisture content in fish meal using an OMNIS NIR Analyzer Solid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2SEC (%)SECV (%)SEP (%)
0.9550.270.280.35

Result ash content

Correlation diagram and the respective FOMs for the prediction of ash content in fish meal using an OMNIS NIR Analyzer Solid.
Figure 6. Correlation diagram and the respective FOMs for the prediction of ash content in fish meal using an OMNIS NIR Analyzer Solid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2SEC (%)SECV (%)SEP (%)
0.9000.780.801.10

Result fiber content

Correlation diagram and the respective FOMs for the prediction of fiber content in fish meal using an OMNIS NIR Analyzer Solid.
Figure 7. Correlation diagram and the respective FOMs for the prediction of fiber content in fish meal using an OMNIS NIR Analyzer Solid. The calibration dataset is shown in blue, and the external validation dataset is in green.
R2SEC (%)SECV (%)SEP (%)
0.6470.210.220.21

Conclusion

This Application Note shows the feasibility of using near-infrared spectroscopy for fish meal feed analysis. The main composition parameters of protein, fat, ash, fiber, and water content are determined in seconds without the use of chemicals. NIRS helps to save costs and improve lab safety when compared to standard wet chemistry methods. By using NIRS for efficient multiparameter analysis, quality control laboratories can save hours of time per sample measurement (Table 1), resulting in much higher sample throughput.

Table 1. Overview of standard methods and time to result for the determination of key parameters in fish meal.
Parameter NormMethodTime to analysis
ProteinISO 5983Kjeldahl method~ 2–4 hours
FatISO 6492Hydrolysis and extraction~ 7–10 hours
MoistureISO 6496LOD: loss on drying~ 5 hours
FiberISO 6865Acid-alkali digestion~ 4–7 hours
AshISO 5984Oven furnace~ 3–6 hours
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