Achievement of Moisture Transfer of Near Infrared Quantitative Model from Small-test Preparation Process to Pilot-test by Directed Direct Orthogonal Signal Correction Combined with Slope/Bias Correction
|更新时间:
|
Achievement of Moisture Transfer of Near Infrared Quantitative Model from Small-test Preparation Process to Pilot-test by Directed Direct Orthogonal Signal Correction Combined with Slope/Bias Correction
杨培, 陈瑾, 吴春颖, 詹雪艳, 臧恒昌. Achievement of Moisture Transfer of Near Infrared Quantitative Model from Small-test Preparation Process to Pilot-test by Directed Direct Orthogonal Signal Correction Combined with Slope/Bias Correction[J]. 2019, 38(9): 1044-1050.
DOI:
杨培, 陈瑾, 吴春颖, 詹雪艳, 臧恒昌. Achievement of Moisture Transfer of Near Infrared Quantitative Model from Small-test Preparation Process to Pilot-test by Directed Direct Orthogonal Signal Correction Combined with Slope/Bias Correction[J]. 2019, 38(9): 1044-1050.DOI: doi:10.3969/j.issn.1004-4957.2019.09.003.
Achievement of Moisture Transfer of Near Infrared Quantitative Model from Small-test Preparation Process to Pilot-test by Directed Direct Orthogonal Signal Correction Combined with Slope/Bias Correction
The near infrared quantitative model established through the small test preparation process is difficult to apply in the pilot or large scale production process directly
which discourage the development of near infrared spectroscopy in the pharmaceutical preparation process.To solve this problem
the fluidized bed granulation process with medicinal dextrin was adopted in this paper.Meanwhile
the NIR spectrum data and the moisture contents of samples in the above preparation process experienced both the small test and the pilot test were collected.Then the near infrared quantitative model for moisture content was established with 3 batches of samples in small test.Based on this
a model transfer method
directed direct orthogonal signal correction combined with slope/bias correction(DDOSC-SBC) was proposed to predict the moisture content of pilot samples.The relative standard errors of prediction for two separate pilot test sets were decreased from 51.04% and 26.64% to 4.90% and 3.99%
respectively after using this directed model-transfer method.Compared with undirected direct orthogonal projection technique combined with slope/bias correction(DOSC-SBC) and the model update
this method could remove the interference spectrum information from pilot test samples more effectively.Consequently
this method provides a new idea for application of the near infrared quantitative model transitting from small test to pilot test or even expanding to the large scale production process.
Construction and Performance Evaluation of Fluidization State Value Feedback Control System for Fluidized Bed Granulation Process Based on Near Infrared Spectroscopy
Research Progress on Matrix-specific Challenges and Analytical Strategies for the Detection of Micro- and Nanoplastics in Food
Research Progress on the Construction Strategy and Mechanism of Genetically Engineered Bacteria to Enhance the Biodegradation of Microplastics
Comparison of Performance and Applicability Analysis of μ-FTIR and Py-GC-MS for the Detection of Microplastics in Airborne Dust
引言
Related Author
YAN Hao-jie
CHEN Hang
QIU Lin-jun
LU Li-ming
QU Hai-bin
Related Institution
Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University
Zhejiang PAT Technology Company
Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University