Found Robust Calibration Model in Fermentation Process by Combining Different Sample Sets

Zhong Hai He; Xin Pan Wang; Zhen He Ma

doi:10.4028/www.scientific.net/AMM.667.372

Paper Titles

Fault Manager of Diagnostic System in the Gasoline Engine ECU
p.353

Stereoeffect of Armored Target with Passive Millimeter Wave Detection
p.358

Study of SnO₂ Gas Sensor Accelerated Degradation Test
p.364

Study on Monitoring Bacillus Subtilis Fermentation Process by Mid-Infrared Spectroscopy
p.368

Found Robust Calibration Model in Fermentation Process by Combining Different Sample Sets
p.372

A Low Power Reference Buffer Used in High-Speed High-Precision Pipelined ADC
p.379

A Novel Three-Phase Current Source Active Power Filter
p.383

Artificial Neural Network Based CNTFETs Modeling
p.390

Research on Efficiency of Solar Cell Integrated with Energy Management Circuitry on Chip
p.396

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 667Found Robust Calibration Model in Fermentation...

Found Robust Calibration Model in Fermentation Process by Combining Different Sample Sets

Abstract:

Robust calibration model is the key factor for spectroscopic measurement. The commonly used way is build calibration model by crude samples collected from process. There are two deficiencies in fermentation processes in that: matrix effects variation always existed for different batch of fermentation and, chance correlation is sure existed which spoil robust of calibration model. In the research being presented, method of overcoming the weakness is examined. By combing the standard analyte and fermentation broth and spiking solvend, the calibration model can correlate specific spectral features only with the measured analyte concentrations so have good robustness.