AN-NIR-109
2023-04
Determination of Brix, fructose, glucose, and sucrose with NIRS
Cost-effective multiparameter analysis within one minute
Summary
Sucrose, glucose, and fructose are three common sugars that are absorbed differently in the body. Each of these sugars has slightly different effects. A major factor regarding their effects on our health is whether these sugars occur naturally in foods or have been added during a processing stage. The determination of the individual sugars and Brix (°Bx, a measure of dissolved sugar content) are key quality parameters in the food industry.
Determination of these parameters can be done using e.g., high-performance liquid chromatography (HPLC), ion chromatography (IC), and thin-layer chromatography (TLC). However, these methods can be time-consuming and incur high running costs. On the other hand, near-infrared spectroscopy (NIRS) allows the simultaneous determination of many sugars without chemicals or any sample preparation in less than a minute.
Experimental equipment
A total of 50 spectra of aqueous solutions of glucose, fructose, and sucrose were prepared to create a prediction model for quantification. All samples were measured with a Metrohm NIRS DS2500 Liquid Analyzer (400–2500 nm, Figure 1) in transmission mode with a holder for flow cells. A flow cell with 1 mm pathlength was used for this application. Data acquisition and prediction model development were performed with the Vision Air Complete software package from Metrohm.
Table 1. Hardware and software equipment overview.
| Equipment | Article number |
|---|---|
| DS2500 Liquid Analyzer | 2.929.0010 |
| DS2500 Holder Flow cell | 6.7493.000 |
| NIRS quartz cuvette flow 1 mm | 6.7401.310 |
| Vision Air 2.0 Complete | 6.6072.208 |
Result
The obtained Vis-NIR spectra (Figure 2) were used to create a prediction model for quantification of glucose, fructose, sucrose, and Brix. The quality of the prediction model was evaluated using correlation diagrams which display a very high correlation between the Vis-NIR prediction and the reference values. The respective figures of merit (FOM) display the expected precision of a prediction during routine analysis (Figures 3–6).
Result fructose content
| Figures of Merit | Value |
|---|---|
| R2 | 0.9882 |
| Standard Error of Calibration | 0.04% |
| Standard Error of Cross-Validation | 0.06% |
| Standard Error of Validation | 0.05% |
Result glucose content
| Figures of Merit | Value |
|---|---|
| R2 | 0.9877 |
| Standard Error of Calibration | 0.11% |
| Standard Error of Cross-Validation | 0.12% |
| Standard Error of Validation | 0.10% |
Result sucrose content
| Figures of Merit | Value |
|---|---|
| R2 | 0.9886 |
| Standard Error of Calibration | 0.16% |
| Standard Error of Cross-Validation | 0.16% |
| Standard Error of Validation | 0.13% |
Result Brix
| Figures of Merit | Value |
|---|---|
| R2 | 0.9988 |
| Standard Error of Calibration | 0.13 (°Brix) |
| Standard Error of Cross-Validation | 0.15 (°Brix) |
| Standard Error of Validation | 0.09 (°Brix) |
Conclusion
This Application Note demonstrates the feasibility to determine glucose, fructose, sucrose, and Brix in aqueous samples with NIR spectroscopy. Vis-NIR spectroscopy is a faster, easier, highly accurate alternative to other standard analytical methods (Table 2).
Table 2. Time to result overview for the different parameters.
| Parameter | Method | Time to result |
|---|---|---|
| Glucose, Fructose, Sucrose | HPLC | ~5 min (preparation) + ~40 min (HPLC) |
| Brix | Refractometer | ~1 min |
Internal reference: AW NIR CH-0072-042023