For several years, near-infrared spectroscopy (NIRS) has become an analytical technique of great interest for the pharmaceutical industry, particularly for the non-destructive analysis of dosage forms. The goal of this study is to show the capacity of this new technique to assay the active ingredient in low-dosage tablets. NIR spectroscopy is a rapid, non-destructive technique and does not need any sample preparation. As an example, a binary mixture of microcrystalline cellulose and riboflavin was used to prepare tablets of different weights by direct compression. A prediction model was built by using a partial least square regression fit method. The NIR assay was performed by transmission. The results obtained by NIR spectroscopy were comp...
Production batch samples of paracetamol tablets and specially prepared out-of-specification batches ...
peer reviewedOver the last decade, the growth of the global pharmaceutical market has led to an over...
The overuse of sophisticated spectral data processing has been blamed for slow acceptance of near-in...
In recent years Near Infrared (NIR) Spectroscopy has become a valuable technique for determining the...
The goal of this study was to apply the Process Analytical Technology FDA's initiative in pharmaceut...
Background information: Near-infrared-spectroscopy (NIRS) combined with multivariate data analysis (...
Although the use of herbal medicines has increased in popularity, there is very little quality contr...
Near-infrared (NIR) spectroscopy is a useful technique for quantitative measurements of intact table...
peer reviewedHandheld Raman spectroscopy is actually booming. Recent devices improvements aim at add...
This work explores the comprehensive development of a near infrared (NIR) spectroscopic analytical t...
Near-infrared spectrometry (NIRS) is a new pharmacopoeial method. It is widely used in the pharmaceu...
The use of Process Analytical Technology (PAT) calls for rapid, accurate, and reliable sensors to de...
Fourier transform near-infrared (FT-NIR) spectroscopy can be used as a rapid method to measure the p...
Near infrared (NIR) spectrometers have long been the PAT tools of choice for pharmaceutical and indu...
Near-infrared (NIR)spectroscopy was employed as a process analytical technique in three steps of tab...
Production batch samples of paracetamol tablets and specially prepared out-of-specification batches ...
peer reviewedOver the last decade, the growth of the global pharmaceutical market has led to an over...
The overuse of sophisticated spectral data processing has been blamed for slow acceptance of near-in...
In recent years Near Infrared (NIR) Spectroscopy has become a valuable technique for determining the...
The goal of this study was to apply the Process Analytical Technology FDA's initiative in pharmaceut...
Background information: Near-infrared-spectroscopy (NIRS) combined with multivariate data analysis (...
Although the use of herbal medicines has increased in popularity, there is very little quality contr...
Near-infrared (NIR) spectroscopy is a useful technique for quantitative measurements of intact table...
peer reviewedHandheld Raman spectroscopy is actually booming. Recent devices improvements aim at add...
This work explores the comprehensive development of a near infrared (NIR) spectroscopic analytical t...
Near-infrared spectrometry (NIRS) is a new pharmacopoeial method. It is widely used in the pharmaceu...
The use of Process Analytical Technology (PAT) calls for rapid, accurate, and reliable sensors to de...
Fourier transform near-infrared (FT-NIR) spectroscopy can be used as a rapid method to measure the p...
Near infrared (NIR) spectrometers have long been the PAT tools of choice for pharmaceutical and indu...
Near-infrared (NIR)spectroscopy was employed as a process analytical technique in three steps of tab...
Production batch samples of paracetamol tablets and specially prepared out-of-specification batches ...
peer reviewedOver the last decade, the growth of the global pharmaceutical market has led to an over...
The overuse of sophisticated spectral data processing has been blamed for slow acceptance of near-in...