WO2007080935A1 - Procede d’examen et de determination de l’environnement hote pour l’obtention d’un bioproduits - Google Patents

Procede d’examen et de determination de l’environnement hote pour l’obtention d’un bioproduits Download PDF

Info

Publication number
WO2007080935A1
WO2007080935A1 PCT/JP2007/050272 JP2007050272W WO2007080935A1 WO 2007080935 A1 WO2007080935 A1 WO 2007080935A1 JP 2007050272 W JP2007050272 W JP 2007050272W WO 2007080935 A1 WO2007080935 A1 WO 2007080935A1
Authority
WO
WIPO (PCT)
Prior art keywords
host
light
analysis
bioproduct
egg
Prior art date
Application number
PCT/JP2007/050272
Other languages
English (en)
Japanese (ja)
Inventor
Akikazu Sakudo
Takaaki Nakaya
Mikihiro Yunoki
Kazuyoshi Ikuta
Original Assignee
The New Industry Research Organization
Osaka University
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 The New Industry Research Organization, Osaka University filed Critical The New Industry Research Organization
Priority to JP2007553934A priority Critical patent/JPWO2007080935A1/ja
Publication of WO2007080935A1 publication Critical patent/WO2007080935A1/fr

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K45/00Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
    • A01K45/007Injecting or otherwise treating hatching eggs

Definitions

  • the present invention relates to a method for examining / determining a host environment for production of a bioproduct. For example,
  • Influenza virus strains, etc. that are the raw materials for vaccines
  • the titer measurement for determining the effect of proliferation is performed using focus forming activity as an index.
  • bioproducts such as vaccines, Levothyroxine
  • a near infrared spectrometer for example, NIRSystem 6500
  • sample information can be obtained immediately.
  • Patent Document 1 discloses a method and device for obtaining information from a subject using visible and near infrared rays. Physically
  • a method for identifying a group to which an unknown subject belongs a method for identifying an unknown subject, and a subject
  • Patent Document 2 includes
  • a method of performing is disclosed.
  • Patent Document 3 describes transmissible spongiform encephalopathy (TSE) in animal and human tissues.
  • a method for diagnosing induced changes by measuring the infrared spectrum of the tissue is disclosed.
  • This method is also a postmortem examination because it examines postmortem pathological tissue fragments.
  • Patent Document 1 Japanese Patent Application Laid-Open No. 2002-5827
  • Patent Document 2 International Publication WO01Z75420
  • Patent Document 3 Japanese Translation of Special Publication 2003-500648
  • the subject of the present invention is an influenza virus that is a raw material for bioproducts, particularly vaccines.
  • the present invention has the following strengths;
  • the absorbance at all wavelengths or specific wavelengths is measured.
  • the manufacturing method of the product is the manufacturing method of the product.
  • Spectroscopic means for performing spectroscopy before or after projection, and reflected light or transmission of light irradiated to the host. Detection means for detecting excessive light or transmitted reflected light;
  • the host environment can be quantitatively or quantitatively analyzed by analyzing the degree of analysis using a prepared analysis model.
  • test can be performed non-invasively on the host,
  • a sample of a host with an increased titer can be collected selectively and the target bioproduct can be collected.
  • FIG. 1 is a diagram showing the structure of a chicken egg.
  • FIG. 2 is a diagram of an apparatus for obtaining absorbance spectral data by irradiating from the air chamber side and receiving light from the lower egg white side using chicken eggs as a host.
  • FIG. 3 shows a PLS model at the dilution stage with eggs for 24 hours after H5 inoculation.
  • FIG. 4 is a diagram showing the results of performing Factor Select.
  • FIG. 5 is a diagram showing total partial regression coefficients of a multiple regression equation created as a quantitative model.
  • FIG. 6 A graph showing the predicted value over time at each dilution stage for 24-hour chicken eggs after H5 inoculation.
  • FIG. 7 A graph showing the predicted value over time at each dilution stage for 24-hour chicken eggs after H5 inoculation.
  • FIG. 8 A PLS model showing a PLS model at the dilution stage after performing regression analysis using the PLS method and inoculating eggs for 24 hours after PR8 inoculation.
  • FIG. 9 is a diagram showing the results of performing Factor Select.
  • FIG. 10 is a diagram showing total partial regression coefficients of a multiple regression equation created as a quantitative model.
  • FIG. 11 A graph showing predicted values over time at each dilution stage for 24-hour chicken eggs after PR8 inoculation.
  • FIG. 12 is a graph showing predicted values over time at each dilution stage for 24-hour eggs after PR8 inoculation.
  • FIG. 13 is a diagram showing comparison of regression coefficients between H5 and PR8.
  • One object of the present invention is to irradiate a host capable of producing a bio product with near-infrared light having a wavelength in the wavelength range of 400 nm to 2500 nm or a partial range thereof, and reflect the light.
  • Absorbance spectrum data is obtained by detecting light, transmitted light, or transmitted / reflected light, and then measurement is performed
  • a bioproduct refers to a biological product that can be prepared using a host.
  • Typical biologics are vaccines or various proteins in vivo
  • influenza vaccines HIV, hepatitis C virus, hepatitis C virus, BDV (Borna disease virus), SARS coronavirus, adult T cell leukemia virus, human parvovirus, Enteroviruses, adenoviruses, kokusatsuki group A ⁇ ⁇ group viruses, echo viruses, simple herpesvirus, influenza viruses, noroviruses, rotaviruses, polioviruses, measles viruses, rubella viruses Examples of various causative viruses of viral diseases
  • Bioproducts are used in engineering fields such as science and medical production.
  • bioactive organic compounds such as cocoons and vitamins extracted from plant power, insulin produced in E. coli, growth hormones, bioactive proteins such as IFN and TGF, and bacteria such as fungi
  • Antibacterial substances such as penicillin collected from the culture supernatant and mammals such as hypridoma
  • a host can produce a wide range of bioproducts such as eggs (growing eggs) and cultured cells.
  • Prokaryotic organisms such as E. coli, eukaryotic organisms such as yeast, and multicellular organisms such as silkworms.
  • Vesicles, cell lines, eggs, sperm, ova, etc. also correspond to the host.
  • raw materials for pharmaceuticals are mass-produced using cell engineering, genetic engineering, and developmental engineering technologies.
  • the degree of host decay refers to the egg or the host that is used for the production of bioproducts.
  • Tissue cells have been damaged to a degree that cannot be used as a host for the production of bioproducts.
  • the near-infrared irradiation is performed from a host in an unhealthy state to a host in an unhealthy or abnormal state!
  • Ming is not limited to testing the host for the production of bioproducts.
  • the freshness of the host means the egg or the host that is used for the production of the bio product.
  • Tissue cells represent the degree of novelty as a host for the production of bioproducts. Immediately after sorting
  • the model is irradiated with near-infrared light from a host in a state immediately after production to a host after a certain period of time.
  • the present invention is limited to the assay of the host for the production of bioproducts.
  • compatibility as a production carrier for a host bioproduct is defined as
  • the egg or tissue cell that is the host for production is the host for the production of bioproducts.
  • Means suitability. Near-infrared irradiation from non-conforming host to pre-conforming host
  • the titer and Z or normality determination in bioproduct production in the host are identical to the titer and Z or normality determination in bioproduct production in the host.
  • the bio product ⁇ is the host of eggs or tissue cells that are used to produce the product.
  • a model absorption scan is performed by irradiating the host with near-infrared light at regular intervals during the culture or growth period.
  • One aspect of the present invention is application to bioproduct production using chicken eggs, particularly growing eggs.
  • Chicken eggs are stored at a constant temperature for several days after egg laying, for example, 4 to: L0 days, preferably 6 to 9 days, 30 to 40 ° C, preferably 35 to 38 ° C, and can be used as a host to inoculate the raw material.
  • L0 days preferably 6 to 9 days
  • 30 to 40 ° C preferably 35 to 38 ° C
  • hen's egg is as shown in Fig. 1 consisting of air chamber (3), egg white (1), amniotic cavity (2), allantoic cavity (4), and egg yolk (5). Performed in the membrane cavity (4).
  • the inoculation amount is adjusted to various concentrations of biofluids such as Influenza A virus A / PR / 834 (H1N1), Influenza Avirus A / crow / Kyoto / 53/2004 (H5Nl), and model absorbance spectrum data.
  • the internal environment is estimated. Irradiation is performed, for example, in the vertical direction for chicken eggs. So
  • any of transmitted light, reflected light, and transmitted / reflected light can be used, but more generally transmitted light.
  • Figure 2 shows a device that uses chicken eggs as a host to irradiate from the air chamber (4) side, receive light from the lower egg white (1) side, and acquire absorbance spectrum data.
  • Near-infrared measurement conditions must be exceptional
  • the absorbance spectrum data obtained by the near-infrared light irradiation is the standard absorbance.
  • a manufacturing method is provided.
  • the apparatus used in the present invention has a wavelength of 400 ⁇ !
  • Detection means for detecting reflected light, transmitted light or transmitted reflected light of the light irradiated to the host, and for detection
  • the host environment is analyzed quantitatively or qualitatively by using the analysis model created
  • Inspection / diagnosis using this device is performed by (a) irradiating the host with light having a wavelength in the range of 400 nm to 2500 nm or a partial range thereof, and (b) detecting the reflected light, transmitted light or transmitted / reflected light.
  • the first feature of the present invention is that information in the host can be obtained simply and quickly with high accuracy.
  • the main wavelength range is 400 ⁇ ! It is in the range of ⁇ 2500 nm or a part thereof (for example, 600 to 1000 nm).
  • This wavelength range is set as one or more wavelength ranges including the wavelength light necessary for the inspection 'decision by the analysis model after creating the analysis model.
  • a halogen lamp LED or the like can be used, but it is not particularly limited.
  • the light that is also emitted by the light source is directly or via a light projection means such as a fiber probe.
  • Is irradiated You may adopt a pre-spectral method that uses a spectroscope before irradiating the host.
  • a post-spectral method that performs spectroscopy after irradiation may be employed.
  • the pre-spectral method the light from the light source
  • the light from the light source is
  • the host By decomposing at a constant wavelength width, the host is irradiated with continuous-wavelength light with continuously changing wavelengths.
  • the analysis model may be used for inspection and judgment, but the peaks in the obtained spectrum may be analyzed spectroscopically.
  • spectroscopic methods include second-order differentiation and Fourier transform, and multivariate solutions.
  • analysis methods include weblet transformation and neural network methods.
  • predetermined conditions may be added to the host.
  • the apparatus can measure a specific wavelength (or measurement) in the obtained absorbance spectrum data.
  • the bioproduct growth status is verified. In other words, to perform a final test,
  • the model is preferably created in advance.
  • this analysis model is used for spectrum measurement.
  • Data is divided into two for analysis model creation and verification, and data for analysis model creation is obtained.
  • the analysis may be performed using the obtained analysis model. For example, detecting a large number of hosts at once
  • a part of the host is used for creating an analysis model.
  • the analysis model can be created by multivariate analysis. For example, influenza virus ⁇
  • Spectral measurements are used to predict the potency (concentration) of raw material in the host for the growth of cutin raw material.
  • the main components that summarize the changes in the amount of vaccine raw material in the host are extracted.
  • the wavelength light necessary for the verification by the analysis model is determined.
  • This device is configured to irradiate the host with one or more wavelength ranges thus determined.
  • the configuration can be further simplified.
  • Preferred host measurement method and data analysis method according to the present invention In the spectrum measurement according to the present invention, a predetermined condition is added to the host.
  • Periodic absorption means the absorption of a sample by setting and measuring multiple types of conditions for a given condition.
  • optical path length By changing the optical path length, temperature, pH, pressure, mechanical vibration, and other conditions.
  • the repeated irradiation of light is performed multiple times by irradiating light continuously or at regular time intervals.
  • Vector data is obtained.
  • spectral data for multivariate analysis such as SIMCA method and PLS method, analysis accuracy can be improved, and highly accurate inspection and diagnosis are possible.
  • the amount of influenza virus vaccine raw material in each host was successfully quantified.
  • class discrimination by SIMCA method is performed using at least two absorbance spectrum data among the obtained three absorbance spectrum data. Can classify each host well, and high-precision testing
  • the number of times of light irradiation is not particularly limited to 3 times, but considering the complexity of data analysis, etc.
  • perturbation due to concentration dilution dilutes the bioproduct raw material to be administered to the host in several stages.
  • spectral data are obtained, and these spectral data can be used for multivariate analysis.
  • Torr is classified using pattern recognition such as SIMCA method.
  • pattern recognition such as SIMCA method.
  • the number of dilutions and the degree of dilution are not particularly limited. Acquired by perturbation due to concentration dilution
  • Quantitative analysis A method for quantifying the target substance in the host, such as the amount of raw material for influenza vaccine, using a quantitative model created by regression analysis such as the PLS method.
  • the quantitative model uses multiple spectral data obtained by perturbation per host.
  • the qualitative model uses multiple spectral data obtained by perturbation per host.
  • the growth status, normality of the host, degree of growth, freshness, host suitability, etc. can be predicted.
  • the regression analysis is performed using a plurality of spectral data obtained by perturbation for one host. Create a class discrimination model of 3 or more classes and separate them by pattern recognition.
  • the apparatus inspection / diagnosis system can be configured to include four elements: a probe (light projection unit), a spectroscopic detection unit, a data analysis unit, and a result display unit.
  • Probe light projection means
  • the probe has a function of guiding light from a light source such as a halogen lamp (LED) (entire range of wavelengths from 400 nm to 2500 nm or a partial range thereof) to a host to be measured.
  • a light source such as a halogen lamp (LED) (entire range of wavelengths from 400 nm to 2500 nm or a partial range thereof)
  • LED halogen lamp
  • a configuration that uses a flexible optical fiber and projects light to the measurement target (host) via a single optical fiber.
  • a near-infrared spectrometer probe can be manufactured at low cost and is low in cost.
  • the light emitted from the light source may be directly projected onto the host to be measured.
  • the light source functions as a light projecting unit.
  • Wavelength light is determined. This device irradiates the host with one or more wavelength ranges thus determined.
  • the device configuration can be simplified.
  • the present apparatus is preferably configured to perform spectrum measurement while giving a perturbation.
  • This apparatus has a configuration of a near-infrared spectrometer as a measurement system.
  • Near-infrared spectrometers are common
  • light is irradiated to the host that is the object to be measured, and the reflected light, transmitted light or transmitted light from this object is transmitted.
  • the reflected light is detected by the detection unit. Furthermore, the absorbance of the detected light with respect to the incident light for each wavelength.
  • the degree is measured.
  • the spectroscopic methods include pre-spectroscopy and post-spectrometry. Pre-spectrometry is split before projecting on the measurement object
  • Post-spectrometry is performed by detecting the light of the object to be measured.
  • the spectroscopic 'detector of this device is the spectroscopic 'detector of this device
  • Light detection and transmitted light detection detect reflected light and transmitted light from the measurement object, respectively.
  • the light that is emitted and radiated out of the object again detects the light that interferes with the reflected light. Spectroscopic detection of this device
  • the unit adopts any detection method of reflected light detection, transmitted light detection and transmitted reflected light detection
  • the detector in the spectroscopic / detection unit is, for example, a CCD (Charge Coupled Device) which is a semiconductor element.
  • CCD Charge Coupled Device
  • the spectroscope can also be configured by known means.
  • Data analysis unit data analysis means
  • the analysis unit uses the analysis model created in advance based on this absorbance spectrum data,
  • analysis model a plurality of analysis models such as a quantitative model and a qualitative model are prepared.
  • the data analysis unit includes various types of spectrum data, multivariate analysis programs, analysis models, etc.
  • a storage unit that stores data, and performs arithmetic processing based on these data and programs
  • It can be configured with an arithmetic processing unit, and can be realized with, for example, an IC chip
  • the result display unit displays the analysis result in the data analysis unit. Specifically, the analysis model
  • Bioproducts such as the amount of influenza vaccine material in the host obtained as a result of analysis
  • the result display unit is preferably a flat display such as a liquid crystal.
  • Example 1 Inspection by near infrared spectroscopy
  • influenza is used as the raw material for bioproducts in the allantoic cavity of chicken eggs.
  • Influenza Avirus A / PR / 8/34 H1N
  • the final dose (10 3 , 10 2 , 10 1 , 10 °, 10 _1 FFU) was given in 3 cases each.
  • MDCK cells were used for measurement in the Focus Forming Unit.
  • the infectivity titer (HA titer) was measured by the following method.
  • the HA titer is determined by erythrocyte aggregation observed up to a power of 8.2.
  • a near-infrared spectrometer product name ⁇ Fruit-Tester-20 (FT-20) (Japan Fantec Research Institute, Shizuokajapan) '') Measurements were performed with perturbation, specifically, absorption spectra were measured by detecting each transmitted light by irradiating the host with 600 to: L lOOnm wavelength light three times in succession. .
  • the wavelength resolution is 2nm. Permeates the host by sandwiching the egg between the light output part and the light detection part
  • the optical path length was set to the size of the egg.
  • the total time is 8000 msec for eggs and 20 msec for chorioallantoic fluid.
  • Step validation excludes a set of consecutive samples, and cross excludes a model by skipping
  • rsmoothj indicates smoothing.
  • the smoothing transformation is a Savitzky-Golay polynomial filter.
  • the description changes in the window containing the central data points and n points on one side
  • the obtained absorption spectrum was analyzed for each dilution by the PLS method.
  • PLS regression analysis was performed, and a PLS model was prepared at the dilution stage using eggs for 24 hours after H5 inoculation.
  • the infectivity titer FFU (loglO) predicted by near-infrared spectroscopy is displayed on the vertical axis, and a model is created.
  • H5 5-3 24h-2 is a solution of H5N1 stock solution (10 7 FFU / ml) diluted to the fifth power of 10 100 ul
  • the third of 3 eggs inoculated (ie, 10 FFU inoculated) was measured after 24 hours of incubation, indicating the second of 3 consecutive measurements.
  • Figure 4 shows the results of Factor Select, where the horizontal axis represents the Factor number and the vertical axis represents the error (SECV: St a
  • Figure 5 shows the partial regression coefficient (regression vector (Regression on
  • the horizontal axis indicates the wavelength (nm), and the vertical axis indicates the regression coefficient value.
  • the wavelength used is 600 nm to lOOm, and the wavelength resolution is 2 nm.
  • the regression coefficient is
  • Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are
  • the thing of the thing shows that the light absorbency of the wavelength is so high that the thing of a low infectious value is high.
  • the regression coefficient is
  • a value of 0 indicates that the absorbance at that wavelength is not related to the level of infectivity.
  • Figures 6 and 7 show the near red color obtained over time using the PLS model prepared with chicken eggs 24 hours after H5 inoculation.
  • the change in the predicted value [NIRS method: FFU (loglO)] calculated from the outer spectrum was shown.
  • Figure 6 is the result of FFU10 3 and FFU10- 1, reference numeral H5 3-1 H5 3-2 H5 3- 3 and H5 7-1 H5 7-2 H5 7-3, for H5, three consecutive times Three absorbance values obtained by irradiation
  • This file is saved as a file, and this file is called during inspection and diagnosis of unknown samples.
  • H53-2 is the second of three eggs inoculated with H5N1 10 3 FFU
  • H5 7-1 is the largest of three eggs inoculated with H5N1 10-
  • Figure 7 shows FFU10 3 , FFU10 2 , And FFU10 0 result, H5 3 in the figure
  • H5 6-3 uses 3 absorbance data obtained for 3 consecutive irradiations of H5.
  • this file is called during testing and diagnosis of unknown samples, and the H5 titer of the target host is determined.
  • the Dependent variable 10 1-fold diluted is defined as LoglOdo l
  • the 10 2 BaiNozomi dilution logl0 (10 2) 2
  • H5 4-2 is the second of three eggs inoculated with H5N1 10 2 FFU.
  • H5 6-1 is the first of three eggs inoculated with H5N1 10 ° FFU
  • FIG. 8 shows the model diagram, and the horizontal axis shows the infectious titer FFU (Lo glO) using existing measurement methods.
  • the infectivity titer FFU (loglO) predicted by near-infrared spectroscopy is displayed on the vertical axis, and a model is created.
  • PR8 5-3 24h-2 was inoculated with 10 to the fifth power of PR8 undiluted chorioallantoic fluid (10 8 FFU / ml) (ie, 10 3 FFU inoculated) 3rd of 3 eggs This was measured after 24 hours of culture, and indicates the second measurement out of three consecutive measurements.
  • Figure 9 shows the results of Factor Select, where the horizontal axis represents the Factor number and the vertical axis represents the error (SECV: St a ndard Error of cross-Validation: standard deviation of cross validation). Since the PLS model with the smallest SECV is the best, this Factor Select will minimize the SEV F actor
  • Equation 9 (correlation coefficient r is 0.6089 at this time) was selected, and analysis was performed using the PLS model at this time.
  • Fig. 10 shows a partial regression coefficient (regression vector (Regres si).
  • the horizontal axis indicates the wavelength (nm), and the vertical axis indicates the regression coefficient value.
  • the wavelength used is 600nm to llOOnrn, and the wavelength resolution is 2nm.
  • the regression coefficient is
  • Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are the most important and which are almost useless. Wavelengths with high regression coefficients are
  • the thing of the thing shows that the light absorbency of the wavelength is so high that the thing of a low infectious value is high.
  • the regression coefficient is
  • a value of 0 indicates that the absorbance at that wavelength is not related to the level of infectivity.
  • Figures 11 and 12 show the predicted value over time at each dilution level for chicken eggs 24 hours after PR8 inoculation [NIRS
  • Figure 11 is the result of FFU10 4 and FFU10 0, drawing PR8 3-1 PR8 3-2 PR8 3-3 and PR8 7-1 PR8 7-2 PR8 7-3, for PR8, 3 consecutive irradiation Obtained in 3
  • the PR8 titer of the target host is predicted using an analytical model. This allows simple and rapid host inspection. “LoglO” indicates that each explanatory variable has been converted to a common logarithm.
  • PR8 3-2 is 3 eggs inoculated with PR8 10 4 FFU
  • PR8 7-1 is the first of three eggs inoculated with PR8 10 ° FFU.
  • Figure 12 shows the results for FFU10 4 , FFU10 3 , FFU10 2 , and FFU10 1 , and PR 8 3-1 PR8 3-2 PR8 3-3, PR8 4-1 PR8 4-2 PR8 4-3, PR8 5-1 PR8 5-2 P R8
  • PR8 6-1 PR8 6-2 PR8 6-3 were obtained for PR8 by three consecutive irradiations.
  • sample names for example, PR8 4-2 has three eggs inoculated with PR8 10 3 FFU.
  • PR8 6-1 is the first of three eggs inoculated with PR8 10 1 FFU.
  • Wavelengths corresponding to peaks and valleys of regression coefficients common to H5 and PR8 are those of influenza
  • Wavelengths corresponding to peaks and troughs with different regression coefficients for H5 and PR8 are the influence
  • the model of the present invention is a PLS model created based on spectral data at 24 hours,
  • the present invention irradiates a host capable of producing a bioproduct with light having a wavelength in the range of 400 nm to 2500 nm or a partial range thereof, and reflects and transmits the light.
  • the measured total wavelength is

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Environmental Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Birds (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • Animal Husbandry (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Health & Medical Sciences (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)

Abstract

Les problèmes à résoudre consistent à trouver un moyen permettant de calibrer progressivement l’environnement d’un hôte sous prolifération en faisant proliférer un matériau de départ pour obtenir un bioproduit, notamment un vaccin (par exemple une souche du virus de la grippe) dans un hôte (par exemple un œuf embryonné de poule) afin de parvenir à un titre élevé. Grâce aux solutions proposées, il devient possible d’évaluer l’environnement d’un hôte à partir duquel un bioproduit peut être obtenu en irradiant l’hôte avec une lumière dont la longueur d’ondes chute sur une plage de 400 nm à 2500 nm ou une partie de cette plage, en détectant la lumière reflétée, la lumière transmise ou la lumière transmise et détectée afin d’obtenir des données spectrales d’absorption, puis en analysant les absorbances sur toute la longueur d’ondes de mesure ou une longueur d’ondes spécifique au moyen d’un modèle analytique préalablement mis au point.
PCT/JP2007/050272 2006-01-12 2007-01-11 Procede d’examen et de determination de l’environnement hote pour l’obtention d’un bioproduits WO2007080935A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2007553934A JPWO2007080935A1 (ja) 2006-01-12 2007-01-11 バイオプロダクトの製造用宿主環境の検査・判定方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2006-005368 2006-01-12
JP2006005368 2006-01-12

Publications (1)

Publication Number Publication Date
WO2007080935A1 true WO2007080935A1 (fr) 2007-07-19

Family

ID=38256340

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2007/050272 WO2007080935A1 (fr) 2006-01-12 2007-01-11 Procede d’examen et de determination de l’environnement hote pour l’obtention d’un bioproduits

Country Status (2)

Country Link
JP (1) JPWO2007080935A1 (fr)
WO (1) WO2007080935A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009038206A1 (fr) * 2007-09-21 2009-03-26 Suntory Holdings Limited Procédé d'analyse du spectre visible/infrarouge proche et fermentation de raisin
WO2014103715A1 (fr) * 2012-12-25 2014-07-03 住友電気工業株式会社 Procédé de production d'une matière organique, procédé de surveillance dudit procédé de production d'une matière organique, et dispositif de surveillance associé
WO2020111262A1 (fr) * 2018-11-29 2020-06-04 キユーピー株式会社 Procédé de sélection d'œuf en coquille, procédé d'évaluation d'œuf en coquille et procédé de production d'œuf à la coque
EP2446258B1 (fr) 2009-06-25 2021-03-31 Yissum Research Development Company of the Hebrew University of Jerusalem Ltd. Identification hyperspectrale de la fécondation d'un oeuf et du sexe du poussin

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001509895A (ja) * 1997-01-17 2001-07-24 エンブレクス,インコーポレイテッド 家禽卵に選択的に注射するための方法及び装置
JP2004516475A (ja) * 2000-12-20 2004-06-03 エンブレクス,インコーポレイテッド 多重波長スペクトルの比較によって卵の状態を非侵襲的に識別する方法及び装置
JP2005291704A (ja) * 2003-11-10 2005-10-20 New Industry Research Organization 可視光・近赤外分光分析方法
JP2005532046A (ja) * 2002-05-06 2005-10-27 エンブレクス,インコーポレイテッド 胚の心拍数および/または動きを検出することによって生存卵を識別するための方法および装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001509895A (ja) * 1997-01-17 2001-07-24 エンブレクス,インコーポレイテッド 家禽卵に選択的に注射するための方法及び装置
JP2004516475A (ja) * 2000-12-20 2004-06-03 エンブレクス,インコーポレイテッド 多重波長スペクトルの比較によって卵の状態を非侵襲的に識別する方法及び装置
JP2005532046A (ja) * 2002-05-06 2005-10-27 エンブレクス,インコーポレイテッド 胚の心拍数および/または動きを検出することによって生存卵を識別するための方法および装置
JP2005291704A (ja) * 2003-11-10 2005-10-20 New Industry Research Organization 可視光・近赤外分光分析方法

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009038206A1 (fr) * 2007-09-21 2009-03-26 Suntory Holdings Limited Procédé d'analyse du spectre visible/infrarouge proche et fermentation de raisin
JP5441703B2 (ja) * 2007-09-21 2014-03-12 サントリーホールディングス株式会社 可視光線・近赤外線分光分析法及びブドウ醸造方法
EP2446258B1 (fr) 2009-06-25 2021-03-31 Yissum Research Development Company of the Hebrew University of Jerusalem Ltd. Identification hyperspectrale de la fécondation d'un oeuf et du sexe du poussin
WO2014103715A1 (fr) * 2012-12-25 2014-07-03 住友電気工業株式会社 Procédé de production d'une matière organique, procédé de surveillance dudit procédé de production d'une matière organique, et dispositif de surveillance associé
WO2020111262A1 (fr) * 2018-11-29 2020-06-04 キユーピー株式会社 Procédé de sélection d'œuf en coquille, procédé d'évaluation d'œuf en coquille et procédé de production d'œuf à la coque
JP2020095008A (ja) * 2018-11-29 2020-06-18 キユーピー株式会社 殻付き鶏卵の選別方法、殻付き鶏卵の評価方法及びゆで卵の製造方法

Also Published As

Publication number Publication date
JPWO2007080935A1 (ja) 2009-06-11

Similar Documents

Publication Publication Date Title
US20080113337A1 (en) Method of Examining/Judging Presence of Virus Infection such as HIV or Presence of Prion Infection by Near-Infrared Spectroscopy and Device Used in Same
Liu Recent progress in fourier transform infrared (FTIR) spectroscopy study of compositional, structural and physical attributes of developmental cotton fibers
Virkler et al. Blood species identification for forensic purposes using Raman spectroscopy combined with advanced statistical analysis
AU2015283366A1 (en) Method and device for the Raman spectroscopic, in ovo sex determination of fertilised and incubated birds' eggs
Potůčková et al. Comparison of reflectance measurements acquired with a contact probe and an integration sphere: Implications for the spectral properties of vegetation at a leaf level
Cui et al. Prediction of sweet corn seed germination based on hyperspectral image technology and multivariate data regression
Tamburini et al. Development of FT-NIR models for the simultaneous estimation of chlorophyll and nitrogen content in fresh apple (Malus domestica) leaves
Amanah et al. Near-infrared hyperspectral imaging (NIR-HSI) for nondestructive prediction of anthocyanins content in black rice seeds
WO2007080935A1 (fr) Procede d’examen et de determination de l’environnement hote pour l’obtention d’un bioproduits
Patel et al. Predicting the content of 20 minerals in beef by different portable near-infrared (NIR) spectrometers
CN105603125A (zh) 一种快速检测禽病病毒的检测试剂盒及其检测方法
Bogomolov et al. Synergy effect of combining fluorescence and mid infrared fiber spectroscopy for kidney tumor diagnostics
Rajewicz et al. Leaf-level spectral fluorescence measurements: comparing methodologies for broadleaves and needles
Basak et al. Determination of leaf nitrogen concentrations using electrical impedance spectroscopy in multiple crops
Ma et al. Quantification of water, protein and soluble sugar in mulberry leaves using a handheld near-infrared spectrometer and multivariate analysis
Jiang et al. Evaluation of three portable optical sensors for non-destructive diagnosis of nitrogen status in winter wheat
Ghaedian et al. Discrimination of sound and granary-weevil-larva-infested wheat kernels by near-infrared diffuse reflectance spectroscopy
Borowik et al. Development of a Low-Cost Electronic Nose with an Open Sensor Chamber: Application to Detection of Ciboria batschiana
JP2007285922A (ja) 近赤外光を用いた臨床血液検査方法
Jia et al. A review of key techniques for in ovo sexing of chicken eggs
Han et al. Detection of spray-dried porcine plasma (SDPP) based on electronic nose and near-infrared spectroscopy data
Tejerina et al. Use of Near-Infrared Spectroscopy to Discriminate DFD Beef and Predict Meat Quality Traits in Autochthonous Breeds
Jia et al. Differentiating tobacco budworm and corn earworm using near-infrared spectroscopy
Steiner et al. Label free molecular sexing of monomorphic birds using infrared spectroscopic imaging
EP1959249A1 (fr) Procédé et appareil pour examiner et diagnostiquer une maladie liée au mode de vie utilisant une spectroscopie de proche infrarouge

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application
ENP Entry into the national phase

Ref document number: 2007553934

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 07706619

Country of ref document: EP

Kind code of ref document: A1