ScholarLens Back to search
2005•Chinese Journal of PharmaceuticalsRequires access

Determination of Cefradine Capsules by Near Infrared Spectroscopy

Xiang Jing

Open publisher page 0 citations

Abstract

A near infrared (NIR) spectroscopy was used to determine the content of cefradine capsules. Thirty samples with cefradine contentfrom 5.01% to 91.24% were prepared in thelaboratory,and 49 samples on the marketfrom 7 different factorieswere collected. The NIR spectra werecollected on an Antaris FT-NIRanalyzer. Thepartial least squares regression (PLSR) algorithm was used to build the calibration model. The model was validated by other 21 samples. The root mean square error of prediction (RMSEP) was 1.35%. The correlation coefficient between the true value and prediction value was 0.9968.The average recovery was 99.4%(RSD 1.3%).

About this research paper

What this paper is about

A near infrared (NIR) spectroscopy was used to determine the content of cefradine capsules. Thirty samples with cefradine contentfrom 5.01% to 91.24% were prepared in thelaboratory,and 49 samples on the marketfrom 7 different factorieswere collected. The NIR spectra werecollected on an Antaris FT-NIRanalyzer. Thepartial least squares regression (PLSR) algorithm was used to build the calibration model. The model was validated by other 21 samples. The root mean square error of prediction (RMSEP) was 1.35%. The correlation coefficient between the true value and prediction value was 0.9968.The average recovery was 99.4%(RSD 1.3%).

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A near infrared (NIR) spectroscopy was used to determine the content of cefradine capsules. Thirty samples with cefradine contentfrom 5.01% to 91.24% were prepared in thelaboratory,and 49 samples on the marketfrom 7 different factorieswere collected. The NIR spectra werecollected on an Antaris FT-NIRanalyzer. Thepartial least squares regression (PLSR) algorithm was used to build the calibration model. The model was validated by other 21 samples. The root mean square error of prediction (RMSEP) was 1.35%. The correlation coefficient between the true value and prediction value was 0.9968.The average recovery was 99.4%(RSD 1.3%).

Key concepts: Near-infrared spectroscopy, Chemistry, Calibration, Partial least squares regression, Correlation coefficient, Spectroscopy, Analytical Chemistry (journal), Mean squared error

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Determination of Cefradine Capsules by Near Infrared Spectroscopy — Research Paper | ScholarLens