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.
Experimental equipment
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.
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).
Result moisture in flour
Figures of Merit | Value |
R2 | 0.827 |
Standard Error of Calibration | 0.47% |
Standard Error of Cross-Validation | 0.48% |
Result protein in flour
Figures of Merit | Value |
R2 | 0.789 |
Standard Error of Calibration | 1.89% |
Standard Error of Cross-Validation | 2.68% |
Result ash in flour
Figures of Merit | Value |
R2 | 0.929 |
Standard Error of Calibration | 0.221% |
Standard Error of Cross-Validation | 0.231% |
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.