CN112683899A - Aquatic product quality detection method - Google Patents
Aquatic product quality detection method Download PDFInfo
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- CN112683899A CN112683899A CN202010358622.7A CN202010358622A CN112683899A CN 112683899 A CN112683899 A CN 112683899A CN 202010358622 A CN202010358622 A CN 202010358622A CN 112683899 A CN112683899 A CN 112683899A
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- liquid
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- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 239000007788 liquid Substances 0.000 claims abstract description 50
- 241000251468 Actinopterygii Species 0.000 claims abstract description 33
- 238000000034 method Methods 0.000 claims abstract description 10
- GWEVSGVZZGPLCZ-UHFFFAOYSA-N Titan oxide Chemical compound O=[Ti]=O GWEVSGVZZGPLCZ-UHFFFAOYSA-N 0.000 claims description 16
- 239000000243 solution Substances 0.000 claims description 9
- 239000004408 titanium dioxide Substances 0.000 claims description 8
- 238000003756 stirring Methods 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 238000010790 dilution Methods 0.000 claims description 5
- 239000012895 dilution Substances 0.000 claims description 5
- SXRSQZLOMIGNAQ-UHFFFAOYSA-N Glutaraldehyde Chemical compound O=CCCCC=O SXRSQZLOMIGNAQ-UHFFFAOYSA-N 0.000 claims description 4
- 238000010438 heat treatment Methods 0.000 claims description 3
- 239000002504 physiological saline solution Substances 0.000 claims description 3
- 238000004445 quantitative analysis Methods 0.000 claims description 3
- 239000000834 fixative Substances 0.000 claims 1
- 238000001132 ultrasonic dispersion Methods 0.000 claims 1
- 239000003153 chemical reaction reagent Substances 0.000 abstract description 4
- 238000005070 sampling Methods 0.000 abstract description 3
- 238000012545 processing Methods 0.000 abstract description 2
- 102000004169 proteins and genes Human genes 0.000 description 18
- 108090000623 proteins and genes Proteins 0.000 description 18
- 210000000695 crystalline len Anatomy 0.000 description 13
- 210000001508 eye Anatomy 0.000 description 13
- 239000000835 fiber Substances 0.000 description 8
- 239000000047 product Substances 0.000 description 8
- 238000011160 research Methods 0.000 description 6
- 230000002349 favourable effect Effects 0.000 description 5
- 210000005252 bulbus oculi Anatomy 0.000 description 4
- 239000003085 diluting agent Substances 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- SOQBVABWOPYFQZ-UHFFFAOYSA-N oxygen(2-);titanium(4+) Chemical compound [O-2].[O-2].[Ti+4] SOQBVABWOPYFQZ-UHFFFAOYSA-N 0.000 description 4
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 3
- 241000894006 Bacteria Species 0.000 description 2
- 238000007865 diluting Methods 0.000 description 2
- 239000002270 dispersing agent Substances 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 239000002244 precipitate Substances 0.000 description 2
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000004925 denaturation Methods 0.000 description 1
- 230000036425 denaturation Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002906 microbiologic effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 239000011780 sodium chloride Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000010257 thawing Methods 0.000 description 1
Landscapes
- Peptides Or Proteins (AREA)
Abstract
The invention relates to the technical field of aquatic product processing, in particular to a method for detecting the quality of aquatic products; sampling, namely extracting lens content liquid in a fish eye through an injector; unfreezing; fixing a sample; the sample is exaggerated; shooting a sample; scaling the picture into a compressed picture with the size of 8 x 8, wherein the compressed picture has 64 pixels in total, converting the compressed picture into 64-level gray scale, and calculating the average gray scale of the 64 pixels; the invention does not need professional analytical equipment, the electronic equipment only needs a camera and a computer, the detection reagents are all low-cost reagents sold in the market, the detection result can be obtained on the spot, the detection cost of the iced fresh fish is reduced, and the detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of aquatic product processing, in particular to an aquatic product quality detection method.
Background
The quality of aquatic products, particularly fish, is mainly reflected in freshness (freshness). In order to quickly detect the freshness of aquatic products (particularly fish herein), various enterprises adopt various detection modes. Currently, methods for assessing the freshness of aquatic products include organoleptic, chemical, physical, microbiological, and combinations thereof. A method and apparatus for measuring freshness using laser light are currently developed in japan. The principle is as follows: the laser irradiates the eyes of the fish, and the freshness of the fish is measured by following the difference of the reflected light rays of the fish eyes. The method can determine the freshness only according to the amount and frequency of reflected light of fish eyes, has the advantage of rapid determination, and is concerned. It is known that fish eyes transmit light through crystalline lens, the permeability of crystalline lens is affected by the content liquid of crystalline lens, the crystalline lens of dead fish becomes turbid gradually, and the nature of the turbid crystalline lens is protein denaturation and precipitation in the content. Therefore, the technical scheme is not suitable for detecting the iced fresh fish. Because the refractive index of the lens and the incidence of diffuse reflection are greatly different from the original state due to freezing. Even if the thawing operation is performed, the above-mentioned freshness measurement cannot be performed because of irreversible deformation of the shape of the crystalline lens.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for quickly judging the freshness of iced fresh fish.
The technical scheme of the invention is as follows:
a method for detecting the quality of aquatic products is characterized by comprising the following steps: it comprises the following steps:
sampling, namely extracting lens content liquid in a fish eye through an injector;
step two, unfreezing, namely diluting the content liquid by using normal saline, putting the content liquid into a water bath kettle, and heating the content liquid at the temperature of 2 ℃ per minute until the diluted liquid reaches 25 ℃;
fixing the sample, adding the diluted liquid into the fixing liquid and uniformly stirring;
step four, exaggerating the sample, adding the diluted liquid into the nano-scale titanium dioxide, and uniformly stirring; it is easy to understand that, the titanium dioxide is added into the transparent liquid and is uniformly stirred, so that the titanium dioxide is dropped on the filter paper and is adsorbed by the aluminum box to present a more uniform hue, and if the liquid has denatured precipitated protein, a part of the titanium dioxide is easily covered, so that irregular grains are presented, and finally, the picture generates higher average gray scale.
Taking a picture of the sample, sucking the diluted liquid by using a dropper, dripping the diluted liquid on the front surface of the filter paper, wherein the size of the filter paper is 1 cm x 1 cm, and taking a picture of the front surface of the filter paper by using a camera when the filter paper completely absorbs the liquid to obtain the picture; the research provided by the invention finds that the situation that fibers on the front side and the back side of the filter paper are neat and loose and fibers on the back side are disordered after a diluent is dropped into the front side and the back side of the filter paper is discovered unexpectedly, and the research is basically consistent with the fiber difference reflected by the front side and the back side of the filter paper in the experimental performance research of the high-efficiency and ultra-high-efficiency air filter paper most easily-penetrated particle size method published by the Tongjiang university of Tianjin; clearly, clean fibers are more conducive to highlighting denatured precipitated proteins.
And step six, scaling the picture into a compressed picture with the size of 8 x 8, wherein the total number of the compressed picture is 64 pixels, converting the compressed picture into 64-level gray scale, and calculating the average gray scale of the 64 pixels. A plurality of iced fresh fish with standard freshness obtained by detection in other modes can be detected (steps one to six), the average gray level obtained by detection is used as a detection qualified value of the invention, then the iced fresh fish to be detected is detected, the average gray level is compared with the qualified value, the iced fresh fish to be detected is judged to be qualified if the average gray level is lower than the qualified value, and the iced fresh fish to be detected is judged to be unqualified if the average gray level is higher than the qualified value.
Further, the first step also comprises pretreatment of fish eyes, the fish eyes are dug out and placed in warm water with the temperature of 30 ℃ for 5 minutes, and the advantage is that the sufficient liquefaction and extraction of the content liquid in the lens are facilitated. Some fish eyes freeze to ice around the eyeball, making it difficult to insert the syringe into the eyeball. In addition, a small part of the content liquid of the crystalline lens is difficult to extract in a frozen state, and the scheme can solve the problem.
Further, the amount of the physiological saline used in the second step is 10 times of the volume of the content liquid, for example, 10 ml of the content liquid should be diluted when 1 ml of the content liquid is extracted. After dilution, the putrefaction degree of the content liquid can be distinguished. For example, the a sample contains 10 denatured and precipitated proteins, while the b sample contains 20 denatured and precipitated proteins, each denatured and precipitated protein occupies 1 unit of optical field, and within 10 units of optical field, these denatured and precipitated proteins are very close to each other, even stacked, which is not favorable for counting, and the counted result may be 10 denatured and precipitated proteins, which is not favorable for distinguishing the corruption degree of the two.
Further, the fixing solution in the third step is glutaraldehyde fixing solution with volume fraction of 4%, and the using amount of the fixing solution is equal to that of the diluted liquid obtained in the second step. The fixing solution is used for avoiding the generation of new precipitates of undenatured proteins in the diluent due to the influence of external bacteria.
Furthermore, the dosage of the nano-titanium dioxide in the fourth step is 0.1 mg, and the nano-titanium dioxide is added and then is dispersed for 10 seconds by adopting ultrasonic waves. Since the introduction of the dispersing agent is likely to affect the form of the denatured and precipitated protein, ultrasonic waves are used for non-contact dispersion.
Further, in the fifth step, the filter paper is a quantitative analysis filter paper. The filter holes are uniform and consistent, and the influence of the filter paper on the image subject recognition can be reduced.
The invention has the beneficial effects that: the invention does not need professional analytical equipment, the electronic equipment only needs a camera and a computer, the detection reagents are all low-cost reagents sold in the market, the detection result can be obtained on the spot, the detection cost of the iced fresh fish is reduced, and the detection efficiency is improved.
Detailed Description
The following is further described in conjunction with the detailed description:
a method for detecting the quality of aquatic products is characterized by comprising the following steps: it comprises the following steps:
step one, sampling, digging out fish eyes, placing the fish eyes in warm water at 30 ℃ and placing the fish eyes for 5 minutes, and the advantage is that the content liquid of the crystalline lens can be liquefied and extracted fully. Some fish eyes freeze to ice around the eyeball, making it difficult to insert the syringe into the eyeball. In addition, a small part of the content liquid of the crystalline lens is difficult to extract in a frozen state, and the scheme can solve the problem; extracting the lens content liquid in the fish eye through an injector;
step two, unfreezing, namely diluting the content liquid by using normal saline, putting the content liquid into a water bath kettle, and heating the content liquid at the temperature of 2 ℃ per minute until the diluted liquid reaches 25 ℃; the amount of saline used is 10 times the volume of the content liquid, for example, 10 ml of content liquid should be diluted by drawing 1 ml of content liquid. After dilution, the putrefaction degree of the content liquid can be distinguished. For example, the a sample contains 10 denatured and precipitated proteins, while the b sample contains 20 denatured and precipitated proteins, each denatured and precipitated protein occupies 1 unit of optical field, and within 10 units of optical field, these denatured and precipitated proteins are very close to each other, even stacked, which is not favorable for counting, and the counted result may be 10 denatured and precipitated proteins, which is not favorable for distinguishing the corruption degree of the two.
Fixing the sample, adding the diluted liquid into the fixing liquid and uniformly stirring; and (4) adopting glutaraldehyde fixing solution with volume fraction of 4%, wherein the amount of the glutaraldehyde fixing solution is equal to that of the diluted solution obtained in the second step. The fixing solution is used for avoiding the generation of new precipitates of undenatured proteins in the diluent due to the influence of external bacteria.
Step four, exaggerating the sample, adding the diluted liquid into the nano-scale titanium dioxide, and uniformly stirring; the dosage of the nano-titanium dioxide is 0.1 mg, and the nano-titanium dioxide is added and then dispersed for 10 seconds by adopting ultrasonic waves. Since the introduction of the dispersing agent is likely to affect the form of the denatured and precipitated protein, ultrasonic waves are used for non-contact dispersion.
Taking a picture of the sample, sucking the diluted liquid by using a dropper, dripping the diluted liquid on the front surface of the filter paper, wherein the size of the filter paper is 1 cm x 1 cm, and taking a picture of the front surface of the filter paper by using a camera when the filter paper completely absorbs the liquid to obtain the picture; the research provided by the invention finds that the situation that fibers on the front side and the back side of the filter paper are neat and loose and fibers on the back side are disordered after a diluent is dropped into the front side and the back side of the filter paper is discovered unexpectedly, and the research is basically consistent with the fiber difference reflected by the front side and the back side of the filter paper in the experimental performance research of the high-efficiency and ultra-high-efficiency air filter paper most easily-penetrated particle size method published by the Tongjiang university of Tianjin; obviously, neat fibers are more favorable for highlighting denatured precipitated proteins; the filter paper is quantitative analysis filter paper. The filter holes are uniform and consistent, and the influence of the filter paper on the image subject recognition can be reduced.
And step six, scaling the picture into a compressed picture with the size of 8 x 8, wherein the total number of the compressed picture is 64 pixels, converting the compressed picture into 64-level gray scale, and calculating the average gray scale of the 64 pixels. A plurality of iced fresh fish with standard freshness obtained by detection in other modes can be detected (steps one to six), the average gray level obtained by detection is used as a detection qualified value of the invention, then the iced fresh fish to be detected is detected, the average gray level is compared with the qualified value, the iced fresh fish to be detected is judged to be qualified if the average gray level is lower than the qualified value, and the iced fresh fish to be detected is judged to be unqualified if the average gray level is higher than the qualified value.
The foregoing embodiments and description have been presented only to illustrate the principles and preferred embodiments of the invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention as hereinafter claimed.
Claims (6)
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| CN202010358622.7A CN112683899A (en) | 2020-04-29 | 2020-04-29 | Aquatic product quality detection method |
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| CN202010358622.7A CN112683899A (en) | 2020-04-29 | 2020-04-29 | Aquatic product quality detection method |
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07213488A (en) * | 1994-01-26 | 1995-08-15 | Nishi Nippon Ryutai Giken:Kk | Postmortem elapsed time deciding method and fish freshness deciding method and deciding device |
| WO1999016353A1 (en) * | 1997-10-01 | 1999-04-08 | Applied Spectral Imaging Ltd. | Spectral bio-imaging of the eye |
| CN1662813A (en) * | 2002-06-15 | 2005-08-31 | 朴相奎 | Freshness indicator of foodstuffs |
| JP2007033339A (en) * | 2005-07-28 | 2007-02-08 | Dainippon Printing Co Ltd | Method and device for determining detection of fisheye |
| CN201508328U (en) * | 2009-05-07 | 2010-06-16 | 浙江大学 | Real-time detection and grading device for pork appearance quality based on machine vision |
| CN103543153A (en) * | 2013-10-24 | 2014-01-29 | 浙江农林大学 | Fish freshness optical detection device |
| CN104880412A (en) * | 2014-02-28 | 2015-09-02 | 松下电器产业株式会社 | Method for outputting freshness information and freshness information output apparatus |
| US20150330906A1 (en) * | 2014-05-15 | 2015-11-19 | Panasonic Corporation | Freshness estimation method, freshness estimation apparatus, and non-volatile recording medium |
| JP2016070914A (en) * | 2014-09-26 | 2016-05-09 | パナソニック株式会社 | Elapsed time estimation apparatus and preservation state estimation apparatus |
| JP2016202385A (en) * | 2015-04-17 | 2016-12-08 | パナソニックＩｐマネジメント株式会社 | Fish preservation state output method, fish preservation state output device, and control program |
| CN108433046A (en) * | 2018-02-26 | 2018-08-24 | 海南远生渔业有限公司 | The bone and flesh squama isolation technics of Tilapia mossambica and its preparation method of squama product |
| CN109089992A (en) * | 2018-06-04 | 2018-12-28 | 浙江海洋大学 | A kind of classification method and system of the Estimation of The Fish Freshness based on machine vision |
| CN109122424A (en) * | 2018-09-17 | 2019-01-04 | 海南儋州翔泰养殖有限公司 | Method for preventing and treating bacterial infection of tilapia |
| CN110443262A (en) * | 2019-08-22 | 2019-11-12 | 上海海洋大学 | Fish body freshness fast non-destructive detection method and its device based on computer vision |
-
2020
- 2020-04-29 CN CN202010358622.7A patent/CN112683899A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07213488A (en) * | 1994-01-26 | 1995-08-15 | Nishi Nippon Ryutai Giken:Kk | Postmortem elapsed time deciding method and fish freshness deciding method and deciding device |
| WO1999016353A1 (en) * | 1997-10-01 | 1999-04-08 | Applied Spectral Imaging Ltd. | Spectral bio-imaging of the eye |
| CN1662813A (en) * | 2002-06-15 | 2005-08-31 | 朴相奎 | Freshness indicator of foodstuffs |
| JP2007033339A (en) * | 2005-07-28 | 2007-02-08 | Dainippon Printing Co Ltd | Method and device for determining detection of fisheye |
| CN201508328U (en) * | 2009-05-07 | 2010-06-16 | 浙江大学 | Real-time detection and grading device for pork appearance quality based on machine vision |
| CN103543153A (en) * | 2013-10-24 | 2014-01-29 | 浙江农林大学 | Fish freshness optical detection device |
| CN104880412A (en) * | 2014-02-28 | 2015-09-02 | 松下电器产业株式会社 | Method for outputting freshness information and freshness information output apparatus |
| US20150330906A1 (en) * | 2014-05-15 | 2015-11-19 | Panasonic Corporation | Freshness estimation method, freshness estimation apparatus, and non-volatile recording medium |
| JP2015232543A (en) * | 2014-05-15 | 2015-12-24 | パナソニック株式会社 | Fish freshness estimation method and freshness estimation apparatus |
| JP2016070914A (en) * | 2014-09-26 | 2016-05-09 | パナソニック株式会社 | Elapsed time estimation apparatus and preservation state estimation apparatus |
| JP2016202385A (en) * | 2015-04-17 | 2016-12-08 | パナソニックＩｐマネジメント株式会社 | Fish preservation state output method, fish preservation state output device, and control program |
| CN108433046A (en) * | 2018-02-26 | 2018-08-24 | 海南远生渔业有限公司 | The bone and flesh squama isolation technics of Tilapia mossambica and its preparation method of squama product |
| CN109089992A (en) * | 2018-06-04 | 2018-12-28 | 浙江海洋大学 | A kind of classification method and system of the Estimation of The Fish Freshness based on machine vision |
| CN109122424A (en) * | 2018-09-17 | 2019-01-04 | 海南儋州翔泰养殖有限公司 | Method for preventing and treating bacterial infection of tilapia |
| CN110443262A (en) * | 2019-08-22 | 2019-11-12 | 上海海洋大学 | Fish body freshness fast non-destructive detection method and its device based on computer vision |
Non-Patent Citations (1)
| Title |
|---|
| 王锋: ""化学计量学在水产品质量检测分析中的研究"", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》, no. 08, 15 August 2013 (2013-08-15), pages 024 - 137 * |
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Application publication date: 20210420 |