It can realize real-time online non-destructive detection of fermentation broth components, rapidly analyze the concentrations of substrates, products and metabolites without sampling and pretreatment, achieve full-process monitoring and data closed-loop control during fermentation, and improve process stability and production efficiency.
Based on the Raman scattering effect, a monochromatic laser is applied to the fermentation broth system through a dedicated probe. The unique "molecular fingerprint" formed by molecular inelastic scattering enables accurate identification of various substance characteristics in the system.
The probe collects scattering signals and transmits them to a spectral analysis device. A specialized detector records spectral information, which is converted into concentration data of key substances during fermentation using professional algorithm models, realizing real-time analysis.
An online closed-loop control system is established, with real-time data synchronized to the central control system to coordinately regulate key parameters such as feeding, temperature, pH and stirring during fermentation, achieving precise and intelligent control of the fermentation process.
Optical Probe: Made of hygienic-grade stainless steel, it features high temperature and pressure resistance as well as acid and alkali corrosion resistance. It can undergo steam sterilization, be directly embedded in fermentation tanks or conveying pipelines, and realize in-situ monitoring without sampling.
Laser Light Source: Adopts near-infrared laser, effectively reducing fluorescence interference from biological samples, adapting to high-turbidity fermentation broth environments, and ensuring stable signal collection.
Spectral Analyzer: Designed with high resolution and high sensitivity, it has fast scanning capability and can efficiently complete the collection and processing of spectral signals.
Specialized Software:
Covers monitoring of nutrient concentrations such as carbon and nitrogen sources, detection of product and by-product contents, monitoring of bacterial status (density, biomass, metabolic activity), as well as real-time control of key process indicators including fermentation rate and endpoint.