Nexera Reducing Sugar Analysis System

Significance of the Topic

The accurate quantification of reducing sugars is a critical requirement in food science, fermentation monitoring, quality control, and industrial process analytics. Traditional refractive index detectors often lack the sensitivity and selectivity needed for low-concentration samples or complex matrices. The Nexera reducing sugar analysis system addresses these limitations by combining post-column fluorescence derivatization with advanced chromatographic control to deliver reliable results across a wide concentration range.

Aims and Overview of the Study

This work introduces the Shimadzu Nexera reducing sugar analysis system. Its primary objectives are to demonstrate high sensitivity detection of multiple sugars without sample dilution; to compare anion exchange and ligand exchange separation modes; and to illustrate cost-saving automated features that extend column life and improve operational efficiency.

Methodology

The analytical approach relies on a post-column derivatization reaction using arginine reagent in a boric acid buffer. Following chromatographic separation, sugars react in a heated chemical bath and pass through a fluorescence detector (excitation at 320 nm, emission at 430 nm). Two main separation strategies are evaluated:

• Borate complex–anion exchange chromatography using Shim-pack ISA-09 columns with a gradient of boric acid buffers.
• Ligand exchange chromatography on Shim-pack SCR series columns using pure water as mobile phase and elevated temperatures to prevent anomer separation.

Used Instrumentation

• Nexera reducing sugar analysis system configured with dual solvent delivery pumps, mixer, autosampler, column oven, reaction coil, and fluorescence detector.
• Shim-pack ISA-09 (250 × 4.0 mm and 50 × 4.0 mm) borate complex–anion exchange columns.
• Shim-pack SCR-101 series ligand exchange columns (300 × 7.9 mm) and matching guard columns.
• FlowPilot smart flow control module for gradual pump start-up and ramped gradient management.

Main Results and Discussion

The system achieved linear quantification of glucose from 0.005 µmol/mL to 1 µmol/mL (R2 = 0.9999) and successfully detected cellobiose, sucrose, maltose, lactose, fructose, galactose, rhamnose, mannose, and xylose in standards and complex samples (red wine and vinegar) without dilution. Chromatograms confirmed high selectivity, minimal baseline interference, and distinct peak resolution across different separation modes. FlowPilot reduced pressure spikes at start-up, preserving column integrity.

Benefits and Practical Applications

• High sensitivity fluorescence detection enables accurate measurement of trace sugars in heterogeneous matrices.
• Wide dynamic range accommodates significant concentration differences without manual dilution.
• Flexible choice of separation mode allows method optimization for specific sample types.
• Automated flow control extends column lifetime and reduces maintenance costs.
• Integrated analytical intelligence (M2M, IoT, AI) ensures reproducible, high-quality data independent of operator skill.

Future Trends and Opportunities

Emerging developments may include deeper integration of machine learning for predictive maintenance, real-time method optimization, and remote system monitoring. Expansion into portable or miniaturized platforms could broaden applications in field testing. Advances in derivatization chemistries and multimodal detectors promise even greater selectivity for comprehensive carbohydrate profiling.

Conclusion

The Shimadzu Nexera reducing sugar analysis system delivers a robust solution for simultaneous, high-sensitivity analysis of multiple sugars. Its combination of post-column fluorescence derivatization, versatile chromatographic modes, and digital intelligence features meets the demands of modern laboratories seeking reliable, cost-effective, and user-independent operations.