Andere Kunden interessierten sich auch für
![Modern Solid State Fermentation]( "Modern Solid State Fermentation")
Modern Solid State Fermentation147,99 €![Fixed bed column bioreactor]( "Fixed bed column bioreactor")
Fixed bed column bioreactor29,99 €![Data-Driven and Model-Based Methods for Fault Detection and Diagnosis]( "Data-Driven and Model-Based Methods for Fault Detection and Diagnosis")
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis98,99 €![Additive Manufacturing]( "Additive Manufacturing")
Additive Manufacturing129,99 €![Fault Detection and Fault-Tolerant Control for Nonlinear Systems]( "Fault Detection and Fault-Tolerant Control for Nonlinear Systems")
Fault Detection and Fault-Tolerant Control for Nonlinear Systems37,99 €![Methods to Assess and Manage Process Safety in Digitalized Process System]( "Methods to Assess and Manage Process Safety in Digitalized Process System")
Methods to Assess and Manage Process Safety in Digitalized Process System129,99 €![Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems]( "Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems")
Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems147,99 €
Solid-state fermentation (SSF) is a fermentation method close to the natural state, which can directly use industrial and agricultural waste residues and other wood fiber raw materials as substrates to produce various products. The SSF has advantages over submerged fermentation (SmF) in many aspects, such as simple medium, the fermentation process does not require strict aseptic operation, high product yield, and simple fermentation equipment. However, in the actual production, the SSF is used less than the SmF. This is mainly because the SSF is a heterogeneous reaction. Currently, there is no complete mathematical model to describe its fermentation process. So far, there is no relevant biosensor that can measure the SSF process parameters online. Therefore, it is mainly guided by artificial experience. Non-destructive testing technologies such as electronic nose and near-infrared (NIR) spectroscopy have the advantages of no sample pretreatment, fast and convenient, and objectivetest results, and are suitable for online process analysis. This book focuses on the monitoring of the SSF process parameters based on the electronic nose and the NIR spectroscopy techniques.