Quality control of non-nutritive sweeteners with NIR spectroscopy

Quality Control of Non-Nutritive Sweeteners with NIR Spectroscopy

Significance of the Topic

The demand for non-nutritive sweeteners has grown substantially in food and beverage sectors over the last decade. Ensuring accurate quantification of additives such as sucralose and Stevia is critical for maintaining product safety, meeting regulatory requirements, and upholding quality standards.

Objectives and Study Overview

This study aimed to establish a rapid, reliable near-infrared (NIR) spectroscopy method for the simultaneous determination of sucralose and Stevia in sucrose matrices. Sample blends containing 0.5–4.5% of each sweetener in sucrose were prepared to build and validate predictive models.

Methodology and Instrumentation

Vis-NIR spectra were recorded in reflection mode using a DS2500 Solid Analyzer equipped with a DS2500 Iris accessory and 15 mm disposable vials. All data acquisition and multivariate model development were conducted with Vision Air Complete software.

Main Results and Discussion

Predictive models showed excellent agreement between NIR predictions and HPLC reference measurements. Key performance metrics:

• Sucralose: R2 = 0.9854; Standard Error of Calibration (SEC) = 0.1898%; Standard Error of Cross-Validation (SECV) = 0.1997%
• Stevia: R2 = 0.9885; SEC = 0.1500%; SECV = 0.1997%

These figures indicate high precision and accuracy for routine analysis, with results available in under one minute.

Benefits and Practical Applications

NIR spectroscopy offers a fast, cost-effective, and reagent-free alternative to traditional HPLC methods, which involve longer sample preparation and run times. The DS2500 Analyzer is suitable for both laboratory and production environments, enabling real-time quality control of sweetener concentrations.

Future Trends and Potential Applications

The adoption of NIR spectroscopy in automated quality control workflows is expected to increase, driven by advances in chemometric algorithms and instrument portability. Inline and handheld NIR devices may further streamline monitoring of food additives, contaminants, and process variables in real time.

Conclusion

The application note demonstrates that NIR spectroscopy with the DS2500 Solid Analyzer can accurately quantify sucralose and Stevia in sucrose blends. This method delivers rapid, reliable results, supporting efficient quality control and regulatory compliance.

Reference

• Internal reference: AW NIR AE10-0002-072021