EP2281184A1 - Caractérisation de propriétés physico-chimiques d'une matière solide - Google Patents

Caractérisation de propriétés physico-chimiques d'une matière solide

Info

Publication number
EP2281184A1
EP2281184A1 EP09745277A EP09745277A EP2281184A1 EP 2281184 A1 EP2281184 A1 EP 2281184A1 EP 09745277 A EP09745277 A EP 09745277A EP 09745277 A EP09745277 A EP 09745277A EP 2281184 A1 EP2281184 A1 EP 2281184A1
Authority
EP
European Patent Office
Prior art keywords
solid
characterization
determined
chemical
features
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP09745277A
Other languages
German (de)
English (en)
Inventor
Christian W. Huck
Günter K. BONN
Nico Heigl
Christine Petter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Universitaet Innsbruck
Original Assignee
Universitaet Innsbruck
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Universitaet Innsbruck filed Critical Universitaet Innsbruck
Publication of EP2281184A1 publication Critical patent/EP2281184A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N15/0205—Investigating particle size or size distribution by optical means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N2021/3129—Determining multicomponents by multiwavelength light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/9508—Capsules; Tablets
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods

Definitions

  • the present invention relates to a method for the characterization of physicochemical properties of a solid.
  • the characterization (determination) of physicochemical properties of a solid is an important concern, for example, for consistent quality in the production of the solid, and, in the pharmaceutical field, for example, bioequivalence in the administration of a solid in a pharmaceutical composition.
  • the present invention provides a method for determining physicochemical properties of solids characterized by subjecting a solid to near-hi-color spectroscopy while simultaneously determining at least two characterization features of the solid.
  • a solid according to the present invention includes a solid composition, for example a solid, pharmaceutical composition containing at least one active ingredient besides at least one adjuvant; wherein the solid comprises tablets, powders or granules.
  • NIRS near-infrared spectroscopy
  • the prerequisite for the absorption of infrared radiation is an overall change in the dipole moment due to its vibrational or rotational energy, which allows the alternating electric field of the radiation to interact with the molecule and cause a change in the amplitude of its motion.
  • the molecules can only be excited to rotate, ie in the mid and near infrared regions molecular vibrations and in the far-infrared molecular rotation are excited.
  • the absorption bands in the near-infrared (4000 - 12800 cm -1 ) are composed of harmonics and combinations of vibrational states (fundamental vibrations) excited in the mid-infrared range, therefore, the corresponding absorption coefficients of near-infrared substances in general several orders of magnitude smaller than the occurring bands in the middle infrared.
  • the measuring principle in the NIRS is that the light emitted by the light source is adjusted to the specific wavelength using a monochromator and the sample, e.g. a solid is irradiated with this light, whereby an interaction of the light takes place with the sample.
  • the measurement can be done in different ways, so it makes sense to determine the best measurement mode in a preliminary experiment.
  • the light guide is very flexible and can be used for both liquid and solid determinations.
  • -> Measuring mode 2 - Cuvette With the help of a cuvette, which is introduced into a cuvette channel, only liquid substances can be measured. An advantage of the cuvette, however, is that even relatively small sample volumes can be measured. For NIRS measurement various measurement techniques, such as transmission, diffuse reflection, transflection can be used.
  • the light beam During transmission, the light beam penetrates the sample and is thereby attenuated. After emerging from the sample, the light beam is detected. This technique is mainly used for measurements with a cuvette.
  • Diffuse reflection is mainly used for powders and solids with a rough surface. This type of reflection reflects some of the incident light over surface irregularities and physical sample properties. One part penetrates into the sample, where it is partially absorbed and then reflected back to the surface by scattering processes inside.
  • Transflection is a combination of transmission and diffuse reflection.
  • the sample is penetrated by the light beam and then diffusely reflected.
  • the attenuated light beam penetrates the sample again and thus passes through the light guide to the detector again.
  • the transmission, diffuse reflection or transflection, in particular the diffuse reflection of the light is preferably measured.
  • the non-solvent is chloroform, which has little inherent absorption in the near-infrared range has been found to be particularly suitable, the measurement was carried out in diffuse reflection.
  • the information obtained by the NIRS is used to create a qualitative and quantitative model of the solid using mathematical, statistical, multivariate methods and chemometrics (chemometric software tools).
  • characterization features of the solid are determined simultaneously, wherein physico-chemical properties of solids include chemical and physical characterization features, for example physical characterization features, for example two, in particular three, physical characterization features, such as particle size, specific surface area and porosity .
  • the determination of physical characterization features of the present invention may be made according to suitable, e.g. known methods, or as described herein, but preferably at least two, in particular three, physical characterization characteristics are determined simultaneously in a single NIRS measurement.
  • a chemical characterizing feature of the solid comprises a qualitative and quantitative determination of the active ingredient, a qualitative and quantitative determination of the residual solvent content, in particular the water content and, in the case of a solid, pharmaceutical composition, in addition a qualitative and quantitative determination of their total composition.
  • At least one chemical and at least one physical characterization feature is determined (determined) by a single measurement.
  • mathematical, statistical and multivariate methods and chemometric software tools are used to determine the characterization features.
  • NIRS neurodegenerative senor
  • mathematical, statistical and multivariate methods and chemometric software tools can be done by appropriate methods, e.g. computer technology.
  • calibration tables, qualitative and quantitative, which correspond to the various characterization features of the solids can be prepared, which then serve as a basis for the determination of unknown samples by comparison of the respectively measured values.
  • the present invention provides a method of determining physico-chemical properties of solids, characterized by i) subjecting a solid to near-infrared spectroscopy, ii) the near infrared data Spectroscopy for a specific
  • the NIRS of a sample and its evaluation according to an embodiment of the present invention is shown schematically in FIG. 1, for example.
  • light emitted by the light source (light source) is adjusted to the specific wavelength with the aid of a monochromator and the irradiation and interaction with the sample (sample) take place.
  • the measurement of both transmitted and diffused light is carried out with the aid of appropriate detectors (Detector Transmittance, Detector Diffuse Reflectance).
  • the physico-chemical information contained in the transmitted or reflected light is used to determine it by means of mathematical, statistical, multivariate data analysis and chemometrics (determination of physico-chemical parameters). to determine qualitative and quantitative information on physical and chemical properties (physical, chemical properties) of the sample (sample).
  • the present invention provides a method for determining the present invention
  • Characterization features particle size, porosity and / or specific surface of a solid, especially pharmaceutical, composition is available, which is characterized in that i) a solid is subjected to near-infrared spectroscopy, ii) the measured data with values from calibration tables, the before iii) the characterization characteristics of the solid composition are determined from the comparison, and at the same time, in particular with the aid of a single measurement, at least two of the above characterization characteristics of the solid are determined.
  • a method according to the present invention is performed outside of a living organism (non-invasive).
  • the specific surface area can also be determined simultaneously within the quantitative analysis, which is not possible with the image analysis. Furthermore, if desired, according to the present invention, other parameters can be determined simultaneously.
  • a further advantage of the method according to the invention is the possibility of simultaneously carrying out a qualitative analysis as part of a single measurement carried out.
  • pictures 1 shows the NIRS of a sample and its evaluation according to an embodiment of the present invention.
  • Fig. 2 shows a near-infrared absorption spectrum of the amoxicillin trihydrate (wavenumber in cm -1 versus absorption).
  • FIG. 3 shows, in a two-dimensional factor plot, the first two main components (PC 1, PC 2) which reflect the two most influential distinguishing features of the samples according to Table 1 in the example.
  • FIG. 5 shows a regression model for determining the particle size and shows the small deviation from the particle size predicted according to the calibra to the particle size determined according to the present invention.
  • Fig. 6 shows a regression model for determining the specific surface area and shows a deviation from the predicted specific surface area to the specific surface area determined according to the present invention.
  • FIG. 8 shows the measurement 6 of unknown samples in a calibration model according to FIG. 7.
  • Amoxicillin trihydrate (AMOX-1 to AMOX-V) contain the near-infrared
  • X 5 o, 3 ⁇ m (also referred to in the figures as “x (50,3)) is a measure of the particle size in ⁇ m, in which 80% of the particles have the particle size distribution which under " 80% ⁇ m "and 68% of the particles have the particle size distribution, the under
  • Spec. OF m / g is the specific surface area of the particles in m per g.
  • the samples are suspended in chloroform, the suspensions obtained are each dried for a defined period of time and irradiated with monochromatic light of a wavelength corresponding to the near infrared.
  • the measurement is carried out by means of a horizontal sample measuring table in diffuse reflection.
  • the qualitative model should provide a confirmation that the selected and established
  • Fig. 2 shows an infrared absorption spectrum of the amoxicillin trihydrate.
  • PCA Principal Component Analysis
  • the two-dimensional factor plot in Figure 3 shows the first two major components (PC 1, PC 2) which reflect the 2 most influential distinguishing features of the samples.
  • PC 1 PC 2
  • PC 1 PC 2
  • each sample can be displayed in an independent cluster ( Figure 4), which in turn shows that sufficient spectral differences of the samples measured occur.
  • each sample has a characteristic spectrum. Based on this model, unknown samples could now be classified.
  • the existing reference values are used to create quantitative calibration models, so each spectrum is "linked” to the corresponding reference values, and the so-called calibration set (spectra used for calibration) is validated by an independent second test set (spectra used to test the calibration) to check the quality (accuracy, robustness) of the model Particle size calibration uses the x 50> 3 value because the particle sizes scatter in a relatively large area. Only one value can be used for the calibration.
  • a low prediction error (SEP) 0.597033 ⁇ m (see FIG. 5) was achieved and for the determination of the spec.
  • Surface a SEP of 0.0131379 m 2 / g (see Fig. 6).
  • a very precise predictive model could thus be calculated.
  • 6 unknown samples were measured in the model.
  • a prediction error (SEP) of only 0.174401 ⁇ m shows the predictive accuracy of the model with respect to unknown samples.
  • the SEP could be reduced from 0.97033 ⁇ m to 0.174401 ⁇ m in comparison to the previous investigations.

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  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

La présente concerne un procédé de détermination de propriétés physico-chimiques de matières solides telles que des comprimés, des poudres ou des granulés, une matière solide subissant une spectroscopie proche infrarouge, au moins deux caractéristiques de la matière solide étant déterminées simultanément. Les caractéristiques peuvent comprendre des caractéristiques chimiques et physiques, les caractéristiques physiques pouvant être la granulométrie, la surface spécifique et la porosité.
EP09745277A 2008-05-13 2009-05-13 Caractérisation de propriétés physico-chimiques d'une matière solide Withdrawn EP2281184A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AT0076208A AT506681B1 (de) 2008-05-13 2008-05-13 Charakterisierung von physiko-chemischen eigenschaften eines feststoffes
PCT/AT2009/000195 WO2009137855A1 (fr) 2008-05-13 2009-05-13 Caractérisation de propriétés physico-chimiques d'une matière solide

Publications (1)

Publication Number Publication Date
EP2281184A1 true EP2281184A1 (fr) 2011-02-09

Family

ID=40912298

Family Applications (1)

Application Number Title Priority Date Filing Date
EP09745277A Withdrawn EP2281184A1 (fr) 2008-05-13 2009-05-13 Caractérisation de propriétés physico-chimiques d'une matière solide

Country Status (4)

Country Link
US (1) US20110260063A1 (fr)
EP (1) EP2281184A1 (fr)
AT (1) AT506681B1 (fr)
WO (1) WO2009137855A1 (fr)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101957311A (zh) * 2010-09-13 2011-01-26 北京中医药大学 一种素片干燥过程的定性分析方法
WO2013150290A1 (fr) * 2012-04-05 2013-10-10 Renishaw Diagnostics Limited Procédé d'étalonnage d'appareil de spectroscopie équipement destiné à être utilisé dans le procédé
US9820943B2 (en) * 2013-09-03 2017-11-21 Dsm Sinochem Pharmaceuticals Netherlands B.V. Micronized amoxicillin
DE102015109263A1 (de) * 2015-06-11 2016-12-15 Thilo Kraemer Messsystem zur Qualitätsüberwachung von Prüflingen
CN109738342B (zh) * 2019-03-18 2022-02-18 山东金璋隆祥智能科技有限责任公司 一种基于近红外光谱技术检测粒度分布的方法

Family Cites Families (4)

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Publication number Priority date Publication date Assignee Title
GB2150917B (en) * 1983-12-07 1986-08-28 Ranks Hovis Mcdougall Plc Sampling and testing particulate material
JPS6311841A (ja) * 1986-03-20 1988-01-19 Satake Eng Co Ltd 米の食味評価装置
IE65900B1 (en) * 1988-10-15 1995-11-29 Satake Eng Co Ltd Apparatus for evaluating quality of raw coffee beans
DE102004008321B3 (de) * 2004-02-20 2005-11-17 Fette Gmbh Verfahren und Vorrichtung zur Qualitätsüberwachung bei der Herstellung von Tabletten

Non-Patent Citations (1)

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Title
See references of WO2009137855A1 *

Also Published As

Publication number Publication date
US20110260063A1 (en) 2011-10-27
WO2009137855A1 (fr) 2009-11-19
AT506681A1 (de) 2009-11-15
AT506681B1 (de) 2010-02-15

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