CA2642482A1 - Method of calculating quality parameters of foodstuffs - Google Patents

Method of calculating quality parameters of foodstuffs Download PDF

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Publication number
CA2642482A1
CA2642482A1 CA002642482A CA2642482A CA2642482A1 CA 2642482 A1 CA2642482 A1 CA 2642482A1 CA 002642482 A CA002642482 A CA 002642482A CA 2642482 A CA2642482 A CA 2642482A CA 2642482 A1 CA2642482 A1 CA 2642482A1
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CA
Canada
Prior art keywords
individual
colour
quality parameters
foodstuff
accordance
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.)
Granted
Application number
CA002642482A
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French (fr)
Other versions
CA2642482C (en
Inventor
Orjan Breivik
Siv Kristin Holt
Kurt Fjellanger
Evy Vikene Kallelid
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.)
Trouw International BV
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Individual
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Publication date
Application filed by Individual filed Critical Individual
Publication of CA2642482A1 publication Critical patent/CA2642482A1/en
Application granted granted Critical
Publication of CA2642482C publication Critical patent/CA2642482C/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22BSLAUGHTERING
    • A22B5/00Accessories for use during or after slaughtering
    • A22B5/0064Accessories for use during or after slaughtering for classifying or grading carcasses; for measuring back fat
    • A22B5/007Non-invasive scanning of carcasses, e.g. using image recognition, tomography, X-rays, ultrasound
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02Food
    • G01N33/12Meat; Fish

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Food Science & Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Medicinal Chemistry (AREA)
  • Computer Vision & Pattern Recognition (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)
  • Spectrometry And Color Measurement (AREA)

Abstract

A method for calculating a range of quality parameters, for example colour, pigment content, fat and/or water content, of a foodstuff, in particular a foodstuff of animal origin, for example meat from fish and mammals, the method comprising the steps of providing a representative individual of the foodstuff; determining the characteristic size of the individual, for example length, area, volume and/or weight; positioning the measuring lens of a colour measuring instrument at a surface of the foodstuff representative of the quality parameters, and measuring the L*, a* and b* values (Chroma and Hue values) of the surface; comparing the measured values for the size of the present individual and colorimetric data to a multivariate model provided in advance, representative of a population of the species of the individual, the multivariate model being formed by mathematical processing of chemical analysis results, visual colour evaluation and individual size for the population and comprising correlation factors between the measured colorimetric data and a range of measured quality parameters, in order thereby to derive the quality parameters of the present individual in standardized units of measurement.

Claims (12)

1. A method for calculating a range of quality parameters, for example colour, pigment content, fat and/or water content, of a foodstuff, in particular a foodstuff of animal origin, for example meat from fish and mammals, characterized in that the method comprises the steps of - providing a representative individual of the foodstuff;
- determining the characteristic size of the individual, for example length, area, volume and/or weight;
- positioning the measuring lens of a colour-measuring instrument at a surface of the foodstuff representative of the quality parameters, and measuring the L*, a* and b* values (Chroma and Hue values) of the surface;
- comparing the measured values for the size of the present individual and colorimetric data to a multivariate model provided in advance, representative of a population of the species of the individual, the multivariate model being formed by mathematical processing of chemical analysis results, visual colour evaluation and individual size for the population and comprising correlation factors between the measured colorimetric data and a range of measured quality parameters, in order thereby to - derive the quality parameters of the present individual in standardized units of measurement.
2. The method in accordance with claim 1, charac-terized in that the colour-measuring instrument is taken from a group consisting of colorimeter and digital camera.
3. The method in accordance with claim 3, charac-terized in that the size of the individual is characterized by means of two or more characteristic sizes, including weight.
4. The method in accordance with claim 1, charac-terized in that the chemical analytical results include the contents of carotenoids and also fat and water content.
5. The method in accordance with claim 1, charac-terized in that the carotenoids are taken from the group consisting of astaxanthin, canthaxanthin, lutein and zeaxanthin.
6. The method in accordance with claim 1, charac-terized in that the visual colour evaluation is indicated in a standardized value, for example a colour card value.
7. The method in accordance with claim 1, charac-terized in that the method also includes the-step of recording the date of measuring for the individual, the multivariate model being correlated also with the sampling dates in the population for the chemical analysis results and the visual colour evaluation.
8. The method in accordance with any one of the preceding claims, characterized in that the individual is a salmon.
9. The method in accordance with claim 1, charac-terized in that the derived colour is indicated as a Roche colour card value.
10. Use of a colour-measuring instrument for the calculation of one or more quality parameters of foodstuffs, Chroma and Hue values (L*, a*, b*) being processed in a mathematical multivariate model provided in advance.
11. The use according to claim 10, characteri-zed in that the colour-measuring instrument is taken from a group consisting of colorimeter and digital camera.
12. The use according to claim 10, characteri-zed in that the quality parameters are colour, pigment, fat and/or water content of meat, in particular fish meat.
CA2642482A 2006-02-07 2007-02-02 Method of calculating quality parameters of foodstuffs Active CA2642482C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
NO20060609 2006-02-07
NO20060609A NO324583B1 (en) 2006-02-07 2006-02-07 Method of calculating chemical and visual quality parameters for foods
PCT/NO2007/000034 WO2007091895A1 (en) 2006-02-07 2007-02-02 Method of calculating quality parameters of foodstuffs

Publications (2)

Publication Number Publication Date
CA2642482A1 true CA2642482A1 (en) 2007-08-16
CA2642482C CA2642482C (en) 2012-03-20

Family

ID=38345413

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2642482A Active CA2642482C (en) 2006-02-07 2007-02-02 Method of calculating quality parameters of foodstuffs

Country Status (8)

Country Link
EP (1) EP1984730A4 (en)
JP (1) JP2009526222A (en)
AU (1) AU2007212825B2 (en)
CA (1) CA2642482C (en)
DK (1) DK177150B1 (en)
NO (1) NO324583B1 (en)
NZ (1) NZ569591A (en)
WO (1) WO2007091895A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5164267B2 (en) * 2008-11-11 2013-03-21 島根県 How to discriminate quality of salmon
CN102353632A (en) * 2011-06-28 2012-02-15 上海谷绿旺农业投资管理有限公司 Color atla for determining pork freshness and manufacturing method thereof
CN104569273B (en) * 2015-01-21 2016-06-22 华南理工大学 The HPLC-MS/MS detection method of 11 kinds of edible synthesized coloring matters in a kind of meat or meat products
CN104931428B (en) * 2015-05-26 2017-11-28 南京中医药大学 A kind of method of cape jasmine concocting process On-line Control
JP7187931B2 (en) * 2018-09-27 2022-12-13 東芝ライテック株式会社 Light source evaluation method
CN117092041A (en) * 2023-08-22 2023-11-21 中国水产科学研究院 Rapid detection method for muscle quality of living carp based on hyperspectral imaging technology

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0246275B2 (en) * 1984-10-05 1990-10-15 Anzai Seisakusho KOKURUITONOSHIKISAISENBETSUKI
JPH07167780A (en) * 1994-10-25 1995-07-04 Makio Akimoto Food preshness-judging device
NO306652B1 (en) 1998-03-10 1999-12-06 Nutreco Aquaculture Res Centre Farmed fish feed in the form of a diet feed and the use of feed for a special feeding period
NZ517247A (en) * 1999-07-28 2003-02-28 Marine Harvest Norway As Method and apparatus for determining quality properties of fish
NO317714B1 (en) 2002-11-08 2004-12-06 Akvaforsk Inst For Akvakulturf Lighting Box

Also Published As

Publication number Publication date
JP2009526222A (en) 2009-07-16
NO324583B1 (en) 2007-11-26
EP1984730A1 (en) 2008-10-29
CA2642482C (en) 2012-03-20
WO2007091895A1 (en) 2007-08-16
NO20060609L (en) 2007-08-08
NZ569591A (en) 2011-12-22
DK177150B1 (en) 2012-02-20
AU2007212825B2 (en) 2010-09-09
EP1984730A4 (en) 2013-05-22
DK200801232A (en) 2008-09-05
AU2007212825A1 (en) 2007-08-16

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