Application of near infrared spectroscopy in monitoring the moisture content in freeze-drying process of human coagulation factor VIII

Wang, Fei; Jiang, Wei; Li, Can; Zhang, Hui; Li, Lian; Wang, Pei; Zang, Hengchang

doi:10.1142/s1793545815500340

Cited by 10 publications

(7 citation statements)

References 29 publications

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“…In order to improve the accuracy of model and reduce the modeling time, more and more wavenumbers selection methods were reported nowadays, such as, regression coefficient analysis (RCA) 17 , Genetic algorithm (GA) 18 and random forests (RF) 19 . In this research, a hybrid wavenumbers selection method, which combined backward interval partial least squares (biPLS) regression 20 , competitive adaptive reweighted sampling (CARS) algorithm 21 and successive projections algorithm (SPA) 22 , was applied for IR spectral wavenumbers selection.…”

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confidence: 99%

Rapid detection of talcum powder in tea using FT-IR spectroscopy coupled with chemometrics

Liu

2016

Sci Rep

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This paper investigated the feasibility of Fourier transform infrared transmission (FT-IR) spectroscopy to detect talcum powder illegally added in tea based on chemometric methods. Firstly, 210 samples of tea powder with 13 dose levels of talcum powder were prepared for FT-IR spectra acquirement. In order to highlight the slight variations in FT-IR spectra, smoothing, normalize and standard normal variate (SNV) were employed to preprocess the raw spectra. Among them, SNV preprocessing had the best performance with high correlation of prediction (RP = 0.948) and low root mean square error of prediction (RMSEP = 0.108) of partial least squares (PLS) model. Then 18 characteristic wavenumbers were selected based on a hybrid of backward interval partial least squares (biPLS) regression, competitive adaptive reweighted sampling (CARS) algorithm and successive projections algorithm (SPA). These characteristic wavenumbers only accounted for 0.64% of the full wavenumbers. Following that, 18 characteristic wavenumbers were used to build linear and nonlinear determination models by PLS regression and extreme learning machine (ELM), respectively. The optimal model with RP = 0.963 and RMSEP = 0.137 was achieved by ELM algorithm. These results demonstrated that FT-IR spectroscopy with chemometrics could be used successfully to detect talcum powder in tea.

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confidence: 99%

Rapid detection of talcum powder in tea using FT-IR spectroscopy coupled with chemometrics

Liu

2016

Sci Rep

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“…18 Prieto et al 19 concluded that pH measurement was feasible for meat products with NIRS. Wang et al 20 demonstrated the feasibility for the determination of moisture content in human coagulation factor VIII freeze-drying process with NIRS. Zhang et al 21 used NIRS to determine the IgG content in the process of alcohol precipitation, and established a quantitative analysis model.…”

Section: Introductionmentioning

confidence: 99%

pH value monitoring during human albumin purification with near infrared spectroscopy and chemometrics

Sun

Wang

et al. 2018

J. Innov. Opt. Health Sci.

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Human albumin (HA) is a very important blood product which requires strict quality control strategy. Acid precipitation is a key step which has a great e®ect on the quality of¯nal product. Therefore, a new method based on quality by design (QbD) was proposed to investigate the feasibility of realizing online quality control with the help of near infrared spectroscopy (NIRS) and chemometrics. The pH value is the critical process parameter (CPP) in acid precipitation process, which is used as the end-point indicator. Six batches, a total of 74 samples of acid precipitation process, were simulated in our lab. Four batches were selected randomly as calibration set and remaining two batches as validation set. Then, the analysis based on material information and three di®erent variable selection methods, including interval partial least squares regression (iPLS), competitive adaptive reweighted sampling (CARS) and correlation coe±cient (CC) were compared for eliminating irrelevant variables. t test and repeatability test showed that the model had good prediction ability and stability. The results indicated that PLSR model could give accurate measurement of the pH value.

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“…Near infrared spectroscopy (NIRS) has the advantage of convenience, and being versatile, nondestructive, and rapid, and hence is a good process analytical technology (PAT) tool for real-time analysis and is widely used in the pharmaceutical industry. It has already shown a great application in the analysis of chemical (Islam et al, 2015) and biological medicines (Wang F. et al, 2015). When it comes to traditional Chinese medicines (TCMs), NIRS was successfully used for quantitative assays and identification (Li et al, 2016) and classification of TCMs (Wang and Yu, 2015).…”

Section: Introductionmentioning

confidence: 99%

Rapid quantification of multi-components in alcohol precipitation liquid of Codonopsis Radix using near infrared spectroscopy (NIRS)

Luo

Huang³

et al. 2017

J. Zhejiang Univ. Sci. B

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A near infrared spectroscopy (NIRS) approach was established for quality control of the alcohol precipitation liquid in the manufacture of Codonopsis Radix. By applying NIRS with multivariate analysis, it was possible to build variation into the calibration sample set, and the Plackett-Burman design, Box-Behnken design, and a concentrating-diluting method were used to obtain the sample set covered with sufficient fluctuation of process parameters and extended concentration information. NIR data were calibrated to predict the four quality indicators using partial least squares regression (PLSR). In the four calibration models, the root mean squares errors of prediction (RMSEPs) were 1.22 μg/ml, 10.5 μg/ml, 1.43 μg/ml, and 0.433% for lobetyolin, total flavonoids, pigments, and total solid contents, respectively. The results indicated that multi-components quantification of the alcohol precipitation liquid of Codonopsis Radix could be achieved with an NIRS-based method, which offers a useful tool for real-time release testing (RTRT) of intermediates in the manufacture of Codonopsis Radix.

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Application of near infrared spectroscopy in monitoring the moisture content in freeze-drying process of human coagulation factor VIII

Cited by 10 publications

References 29 publications

Rapid detection of talcum powder in tea using FT-IR spectroscopy coupled with chemometrics

Rapid detection of talcum powder in tea using FT-IR spectroscopy coupled with chemometrics

pH value monitoring during human albumin purification with near infrared spectroscopy and chemometrics

Rapid quantification of multi-components in alcohol precipitation liquid of Codonopsis Radix using near infrared spectroscopy (NIRS)

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