Soybean meal testing—Rapid detection and real-time control

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Quality Control in Chemical Industrial Processes

Near-infrared spectrometers collect material spectral data in real time. Combined with specialized chemical algorithms, they can quickly analyze reaction progress, mixture composition, and key indicators—such as moisture, solvent residue, and mixing uniformity. Laboratory equipment provides high-precision benchmarks for process development, while inline equipment is embedded into production lines to deliver real-time data feedback to control systems. These systems dynamically adjust parameters like temperature, flow rate, and valve settings, forming a closed-loop “detection–analysis–control” management cycle. This enables whole-process standardization of production and optimization of resources.
Quality Management in Grain and Oil Processing

Near infrared spectroscopy technology, with its "non-destructive, fast, real-time" detection capabilities, runs through the entire grain and oil processing industry chain—from raw grain storage to refined processing—achieving second-level analysis of key indicators (such as moisture, protein, and oil), empowering enterprises with precise grading, intelligent decision-making, and process optimization, helping to reduce costs, increase efficiency, and upgrade quality, while providing core technological support for the high-quality development of the grain and oil industry.
Intelligent Agricultural and Precision Farming

Based on the principles of molecular spectroscopy, near-infrared spectroscopy technology builds an efficient and green digital solution for smart agriculture. This technology captures the vibrational absorption characteristics of substances in the near-infrared band, establishing a highly correlated mapping relationship between complex spectral information and the intrinsic components of agricultural objects, achieving non-contact quality monitoring across the entire chain from soil to crops and products. Compared to traditional chemical analysis methods, its key advantages lie in a sustainable working mode with zero reagent consumption and multi-component collaborative detection, completely eliminating dependence on laboratory settings and making on-site agricultural testing possible.
Feed Quality Monitoring and Process Optimization

IAS ANALYSIS has a deep understanding of the feed industry chain and related processes. Leveraging extensive experience in feed industry analysis and detection technology, we provide professional, customized near-infrared spectroscopy analysis solutions for clients in areas such as raw material production and finished product deep processing.
Tobacco Grading and Process Optimization

Near-infrared spectroscopy technology, with its non-destructive, real-time, and Whole Process detection advantages, covers the entire lifecycle of tobacco from planting and processing to finished products. It accurately monitors core indicators such as moisture, nicotine, and sugar content, enabling intelligent management from raw material grading and quality monitoring to process optimization and final product quality control. This helps tobacco companies improve quality consistency, reduce loss costs, and strengthen market competitiveness.
Semiconductor Process Monitoring

To address the needs of chemical wet process liquid concentration management, we have developed a high-precision chemical liquid concentration meter." This device uses near-infrared spectroscopy absorption and electrochemical principles to complete concentration measurements of common etchants/cleaners such as HF, H2SO4, TMAH, and others in seconds, with an accuracy of ±0.01%. The device can operate continuously in high-temperature strong acid environments (resistant to PFA materials). It features built-in compensation algorithms to eliminate measurement errors caused by temperature and bubble interference, enabling real-time data transmission with factory central control systems, and the product has passed SEMI S2, CE, and other certifications.

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Soybean meal testing—Rapid detection and real-time control

18

Jun
2025

Current status and pain points: Reliance on offline laboratory testing leads to long detection times, preventing real-time guidance for process adjustments and causing delays in key parameters for drying and desolventizing, which can result in energy waste or quality fluctuations.

Solutions: Near-infrared online systems monitor the dynamic changes in moisture and residual solvents during drying and desolventizing processes in real time, stabilizing pressing and extraction conditions; they also monitor indicators such as moisture, protein, and fiber for precise detection of Soybean meal quality grades.

Core value: Real-time monitoring of key indicators to reduce batch variations, meet feed or food-grade standards; achieve a shift from "passive quality inspection to active quality control," directly increasing profit margins per ton of meal.

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