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AN-NIR-123

2025-07

Flour analysis by near-infrared spectroscopy (NIRS)

NIR flour analysis determines moisture, protein, ash, gluten, starch, and rheological properties within seconds


Summary

Monitoring ash content, along with key quality parameters such as protein and moisture content, can significantly enhance the milling yield of flour. Next to these chemical parameters, rheological parameters like baking strength or tenacity influence the product quality. Near-infrared (NIR) spectroscopy enables chemical-free quality control of both chemical and rheological parameters, producing results within seconds. This simple, efficient, and rapid analysis method is ideal for continuous quality checks and can be implemented in laboratory settings or atline, requiring minimal training for effective use.

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Configuration


Experimental equipment

OMNIS NIR Analyzer Solid
Figure 1. OMNIS NIR Analyzer Solid

A total of 237 flour samples, including wheat flour, spelt flour, and other types, were analyzed on a Metrohm OMNIS NIR Analyzer Solid (Figure 1) with the large cup OMNIS NIR, 100 mm and OMNIS software. The samples were filled into the sample cup and analyzed in diffuse reflection mode. To include sample variety, the sample cup rotated during measurement to collect spectra from different locations. The automatically averaged spectra were used for model development. Reference values for moisture, protein, and ash content were obtained with the respective primary methods: moisture analysis followed AOAC 953.10, protein according to AOAC 2001.11, and ash content followed AOAC 923.03.

Table 1. Hardware and software equipment overview.
Equipment Article number
OMNIS NIR Analyzer Solid 2.1071.0010
Large holder OMNIS NIR, 100 mm 6.07402.100
Large cup OMNIS NIR, 100 mm 6.07402.110
OMNIS Stand-Alone license 6.06003.010
Quant Development software license 6.06008.002

Result

The obtained NIR spectra (Figure 2) were used to create prediction models for the different reference parameters. Correlation diagrams which display the relation between the NIR prediction and the reference values are shown in Figures 3–5 together with the respective figures of merit (FOM).

Overlaid NIR spectra of flour samples. Data was obtained with an OMNIS NIR Analyzer Solid.
Figure 2. Overlaid NIR spectra of flour samples. Data was obtained with an OMNIS NIR Analyzer Solid.

Result moisture in flour

Correlation diagram and the respective FOMs for the prediction of moisture in flour.
Figure 3. Correlation diagram and the respective FOMs for the prediction of moisture in flour. Blue dots represent calibration samples; green dots represent samples used to validate the model.
Figures of Merit Value
R2 0.827
Standard Error of Calibration 0.47%
Standard Error of Cross-Validation 0.48%

Result protein in flour

Correlation diagram and the respective FOMs for the prediction of protein in flour.
Figure 4. Correlation diagram and the respective FOMs for the prediction of protein in flour. Blue dots represent calibration samples; green dots represent samples used to validate the model.
Figures of Merit Value
R2 0.789
Standard Error of Calibration 1.89%
Standard Error of Cross-Validation 2.68%

Result ash in flour

Correlation diagram and the respective FOMs for the prediction of ash in flour.
Figure 5. Correlation diagram and the respective FOMs for the prediction of ash in flour. Blue dots represent calibration samples; green dots represent samples used to validate the model.
Figures of Merit Value
R2 0.929
Standard Error of Calibration 0.221%
Standard Error of Cross-Validation 0.231%
Table 2. Aside from the key quality parameters, additional parameters can be determined in flour using near-infrared spectroscopy.
Parameter  Range SEC  SECV R²CV
Gluten 15–35% 1.39% 1.40% 0.918
Starch 15–26% 0.86% 0.97% 0.755
Baking strength 36–444 29.94 30.75 0.919
Elasticity index 30–65 2.32 2.67 0.906
Tenacity 43–382 20.00 21.69 0.910

Conclusion

This Application Note shows the feasibility of using NIR spectroscopy for the analysis of several quality parameters in flour. With no chemicals involved, near-infrared spectroscopy is an ideal way to avoid time-consuming sample preparation and reduce costs. NIRS instruments from Metrohm allow users to not only to monitor the flour milling process, but also to predict the rheological properties of the dough the flour is produced with. 

Contact

Metrohm AG

Ionenstrasse
9100 Herisau

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