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2008•The Chinese Journal of Modern Applied PharmacyRequires access

Application of Near Infrared Diffuse Reflectance Spectroscopy to Rapid Determination of Rifampicin Capsules

Teng Li-rong

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Abstract

OBJECTIVE Develop a method for content determination of rifampicin in rifampicin capsules. METHODS The near infrared (NIR) diffuse reflectance spectra of the samples was collected to establish a relative model between the spectra data and the rifampicin contents in rifampicin capsules by partial least squares regression, and then the samples were determined using the model. RESULTS The regression coefficient (R) of the model is up to 0.955 87. The root mean square error of calibration (RMSEC) is 0.006 51. The root mean square error of prediction (RMSEP) is 0.003 80.CONCLUSION This model possesses high precision of prediction, it must be popularized in the in situ measurement and the on-line quality control for rifampicin capsules production.

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OBJECTIVE Develop a method for content determination of rifampicin in rifampicin capsules. METHODS The near infrared (NIR) diffuse reflectance spectra of the samples was collected to establish a relative model between the spectra data and the rifampicin contents in rifampicin capsules by partial least squares regression, and then the samples were determined using the model. RESULTS The regression coefficient (R) of the model is up to 0.955 87. The root mean square error of calibration (RMSEC) is 0.006 51. The root mean square error of prediction (RMSEP) is 0.003 80.CONCLUSION This model possesses high precision of prediction, it must be popularized in the in situ measurement and the on-line quality control for rifampicin capsules production.

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Available abstract

OBJECTIVE Develop a method for content determination of rifampicin in rifampicin capsules. METHODS The near infrared (NIR) diffuse reflectance spectra of the samples was collected to establish a relative model between the spectra data and the rifampicin contents in rifampicin capsules by partial least squares regression, and then the samples were determined using the model. RESULTS The regression coefficient (R) of the model is up to 0.955 87. The root mean square error of calibration (RMSEC) is 0.006 51. The root mean square error of prediction (RMSEP) is 0.003 80.CONCLUSION This model possesses high precision of prediction, it must be popularized in the in situ measurement and the on-line quality control for rifampicin capsules production.

Key concepts: Partial least squares regression, Rifampicin, Calibration, Diffuse reflectance infrared fourier transform, Diffuse reflection, Mean squared error, Analytical Chemistry (journal), Near-infrared spectroscopy

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Application of Near Infrared Diffuse Reflectance Spectroscopy to Rapid Determination of Rifampicin Capsules — Research Paper | ScholarLens