1995
DOI: 10.1016/0731-7085(95)01333-g
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Quality control in manufacturing process by near infrared spectroscopy

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Cited by 29 publications
(13 citation statements)
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“…With the advance in chemometrics and computational technology, useful information can be extracted from the weak signals in NIR spectra [12]. Indeed, it has been successfully used for on-line analysis of monitoring pharmaceutical production and bio-fermentation [13][14][15][16]. However, the NIR method has not been used to analyze a single component and the impure components of structurally similar multi-component drugs in aqueous solution.…”
Section: Introductionmentioning
confidence: 99%
“…With the advance in chemometrics and computational technology, useful information can be extracted from the weak signals in NIR spectra [12]. Indeed, it has been successfully used for on-line analysis of monitoring pharmaceutical production and bio-fermentation [13][14][15][16]. However, the NIR method has not been used to analyze a single component and the impure components of structurally similar multi-component drugs in aqueous solution.…”
Section: Introductionmentioning
confidence: 99%
“…In industrial fields like pharmaceutics this vibrational spectroscopic technique has become a standard tool for quality control since the 1970s [1][2][3][4][5][6][7]. In the last 40 years data processing and prediction became faster and more precise because of high performance computational systems.…”
Section: Introductionmentioning
confidence: 99%
“…In the development of the identification test for nicarbazin raw material, the NIR conformance testing approach was utilised to perform sample qualification. [25][26][27] In conformance testing, a calibration set (library) of NIR spectra are recorded from a representative collection of approved batches. After digital pre-processing, such as second derivatisation to remove baseline offset differences between the spectra, the calibration set is represented as an average spectrum and a standard deviation spectrum.…”
Section: Introductionmentioning
confidence: 99%