Automating the Kjeldahl: The OR-KNA 100 and the Standardization of Protein Analysis


OR-KNA 100 fully-automatic Kjeldahl nitrogen analyzer

The OR-KNA 100 nitrogen analyzer captures a broader shift: the quiet automation of legacy wet-chemistry methods across China’s food, feed, and fertilizer labs. Its specifications reveal the operational logic of high-throughput quality control.

The Kjeldahl method has been a workhorse of protein determination for over a century, but its manual execution remains tedious and error-prone. The OR-KNA 100 is a fully-automated instrument designed to eliminate those variables in a standard lab workflow.

It handles the full sequence—acid, alkali, dilution, distillation, titration—via a microcomputer and color touchscreen. The critical engineering lies in its uninterrupted steam generation and simultaneous distillation-titration, which reduces runtime per sample to 3–8 minutes while maintaining a recovery rate above 99.5%.

Safety is built in at the system level: real-time temperature and pressure monitoring, dual liquid-level control to prevent dry burning, and automated alarms for cooling water flow. These features reduce the need for constant operator attention, a practical advantage in high-throughput environments.

The instrument’s data management capabilities—USB or wireless upload, 10,000-sample memory, and optional permission controls meeting 21 CFR Part 11—align with modern audit and traceability demands. This is not just a lab tool; it is a node in a regulated data chain.

China’s food safety and agricultural testing sectors are large and fragmented. Devices like the OR-KNA 100, built with corrosion-resistant ABS and long-life components, standardize testing across labs that previously relied on inconsistent manual processes.

For buyers, the metric that matters is not precision alone but repeatability—RSD under 0.5%—which directly translates to fewer retests and lower operational cost per batch.

Why it matters:
The OR-KNA 100 reflects how China’s instrumentation sector is closing the gap between manual methodology and automated, data-compliant workflows. For labs scaling up protein analysis, it offers a predictable, auditable path from sample to result.


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