CN100494982C - Non-destructive detection method for quickly detecting inner quality of pear - Google Patents
Non-destructive detection method for quickly detecting inner quality of pear Download PDFInfo
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- CN100494982C CN100494982C CNB2004100986229A CN200410098622A CN100494982C CN 100494982 C CN100494982 C CN 100494982C CN B2004100986229 A CNB2004100986229 A CN B2004100986229A CN 200410098622 A CN200410098622 A CN 200410098622A CN 100494982 C CN100494982 C CN 100494982C
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Abstract
The present invention relates to a rapid nondestructive detection method of the inner quality of pears, which comprises the following steps: (1) OD value of a pear which is to be detected and is colleThe invention discloses a rapid loss-free internal pear quality detecting method, which comprises the following steps: (1) gathering the OD value of two specific wavelengths at (713+/-5) nm and (743+/cted by an instrument one by one is in the two specific wavelength of (713+/-5)nm and (743+/-5)nm; (2) the OD value of the two specific wavelength is obtained and then is substituted into a discrimina-5)nm; (2) putting the OD value in the discrimination pattern of pear black-cored ill to gain the result. The invention reduces the waste of sampling pear, which can detect and monitor the stored peartion model of the black heart of pears, the discrimination model is previously established, and judgment results of the black heart of pears are obtained. The discrimination model of the black heart o to reduce the storage loss. f pears is previously established, and therefore, the pears can be detected one by one on line, the black heart of pears can be rapidly detected out, the waste of the sampling detection fruits is greatly reduced, the quality of each pear is ensured, preservative pears can be frequently monitored, and the loss of preservation is reduced.
Description
Technical field
The present invention relates to detect the fruit internal method for quality, especially relate to a kind of method of utilizing the continuous transmitted spectrum quick nondestructive of Visible-to-Near InfaRed to detect the pear internal soundness.
Background technology
China is the first in the world fruit big producing country, and wherein pear is one of topmost kind, but annual export volume seldom.A little less than a detectability when major reason of restriction China fruit outlet is domestic sorting fruit, speed is slow, and the experimental enviroment condition is poor, and sorting fruit does not reach the requirement of international market.Detecting yali pear black heart is the important indicator of determining pear product interior quality.Yali pear black heart is a fruit physiological disturbance common in the storage, and during morbidity, the pear core forms light brown scab earlier, along with the prolongation of storage period, core slowly becomes pitchy, and constantly expansion, makes pulp organization send out chaff, it is bad that local flavor becomes, and until the large stretch of browning of pulp, can't bear edible.Because it is as broad as long in appearance with normal fruit to produce the sick fruit of yali pear black heart, so original check to disease fruit interior quality is cut into slices by the observation chance sample and is carried out, but this method belongs to the method for destructive sampling Detection, not only waste is very big, and meaningless to the exported product classification.
Nondistructive detecting method promptly comprises the method that pol, acidity, hardness, inner pathology etc. detect and estimate to its inside quality under the situation of not destroying fruit product.Not damaged detects the method for fruit internal quality at present, its research is carried out at the apple internal quality mostly, because pear is the characteristic fruit of China, the present in the world report that the pear Non-Destructive Testing is studied seldom, wherein, Paola etc. utilize the time resolution reflectance spectrum that the brown heart of pears has been carried out the not damaged detection, but can only detect in the following 2cm scope of pericarp, and the slight brown stain around the core is detected relatively difficulty.In China, it is less at present to detect the research of fruit internal quality about quick nondestructive, and this research is to fruit, and particularly production, storage and the outlet classification to pear has very important significance.
Summary of the invention
At the problems referred to above, the purpose of this invention is to provide a kind of method that detects the pear internal soundness at the quick nondestructive of yali pear black heart.
For achieving the above object, the present invention takes following technical scheme: a kind of quick nondestructive detects the method for pear internal soundness, and it may further comprise the steps: (1) gathers pear to be measured in the OD value of two specific wavelengths for (713 ± 5) nm and (743 ± 5) nm place with instrument one by one; The OD value of (713 ± 5) nm that (2) will obtain and (743 ± 5) nm two specific wavelengths is brought the discrimination model of the yali pear black heart of foundation in advance into, obtains the result of determination whether pear has black heart.
Set up the discrimination model of yali pear black heart in advance, it is set up process and may further comprise the steps: (1) gathers the pear sample sets, is the OD value at (713 ± 5) nm and (743 ± 5) nm place at two specific wavelengths with each sample in the instrument detecting sample sets; (2) sample after inciting somebody to action after testing cuts along equatorial direction, and whether observe has the black heart pathology; (3) each sample in the sample sets is all imported computing machine in the OD value and the corresponding sections observation result of (713 ± 5) nm and (743 ± 5) nm two specific wavelengths, after adopting method of difference to carry out computational analysis, obtaining the discriminant equation of judgment threshold and pear evil mind: △ OD ((713 ± 5) nm-(743 ± 5) nm)〉pear is the evil mind pears during judgment threshold; Pear has been pears during △ OD ((713 ± 5) nm-(743 ± 5) nm)≤judgment threshold; (4) bring the tested pear of the unknown into discriminant equation respectively in the OD value of (713 ± 5) nm and (743 ± 5) nm characteristic wavelength, and provide result of determination.
Described two specific wavelengths can be 713nm and 743nm.
Described judgment threshold can be-0.231.
The instrument of gathering two specific wavelengths can be an optical filter type instrument.
The instrument of gathering two specific wavelengths can be the visible-near-infrared spectrum instrument.
The present invention is owing to take above technical scheme, it has the following advantages: 1, the present invention is owing to set up the judgment models of yali pear black heart in advance, therefore no matter when being online detection, when still carrying out sampling Detection, can treat pear and detect one by one, but fast detecting goes out yali pear black heart, a large amount of fruit wastes that reduce because of sampling Detection caused, guarantee the quality of each pear product, and can monitor the pear of storage regularly, reduce storage loss.2, to choose wavelength through a large amount of experiments in the process of modeling be two characteristic wavelengths that 713nm ± 5nm and 743nm ± 5nm judge as yali pear black heart in the present invention, by OD value when these two characteristic wavelengths and the corresponding relation between the sections observation, set up one group and differentiated the discrimination model that whether pear is had black heart, not only can realize yali pear black heart is carried out Non-Destructive Testing, and very high to the correct decision rate of yali pear black heart, reached common method for separating and the inaccessiable target of artificial separation.The grading that the present invention can be widely used in pear detects and preserves in the detection.
Embodiment
The present invention is a kind of method of online Non-Destructive Testing pear, and it may further comprise the steps:
One, at first set up the discrimination model of yali pear black heart:
(1) sample collecting and detecting instrument:
At the different parts on same zone, same harvesting period, different fruit tree strain, in the same fruit tree strain, pluck 200 in representative pear sample at random;
(2) the OD value of sample under the acquisition characteristics wavelength:
Adopt CCD grating type visible-near-infrared spectrum instrument, select near trough of pear spectrum and the crest two wavelength 713nm and 743nm as characteristic wavelength, measuring samples is concentrated the OD value of each sample when these two characteristic wavelengths successively;
(3) sections observation
Whether sample after testing, observing has the black heart pathology if being cut along equatorial direction;
(4) set up the discrimination model of yali pear black heart:
The OD value and the sections observation result of two specific wavelengths of whole samples of obtaining are imported computing machine, after adopting method of difference to carry out computational analysis, the numerical value-0.231 that obtains the pear that can separate the sheep from the goats is as judgment threshold, and sets up the discriminant equation whether pear has black heart, that is:
△ OD (713nm-743nm)〉pear was the evil mind pears-0.231 o'clock
(713nm-743nm)≤-0.231 o'clock pear has been pears to △ OD
(5) bring the tested pear of the unknown into discrimination model respectively in the OD of characteristic wave strong point value and provide result of determination.
Two, pear is detected:
Adopt CCD grating type visible-near-infrared spectrum instrument, identical two characteristic wavelength 713nm and 743nm measure the OD value of each pear when these two characteristic wavelengths successively when selecting with modeling; Behind the OD value input computing machine substitution discrimination model with these two wavelength, just can obtain differentiating the result has been pears or evil mind pears then.
Be to adopt CCD grating type visible-near-infrared spectrum instrument to detect in the foregoing description, can also adopt more cheap optical filter type instrument of price or Other Instruments to measure the OD value of pear under two characteristic wavelengths.
In the foregoing description, can also adopt CCD grating type visible-near-infrared spectrum instrument to be captured in the continuous spectrum that wavelength coverage is 638nm～1295nm, and then select the OD value at two characteristic wavelength 713nm and 743nm place, this is to consider under the situation that has apple and pear all to need to detect, shared with the apple (applying for a patent separately) that needs adopt continuous spectrum to detect with a kind of instrument, use with a kind of measuring method more convenient and adopt.
In the foregoing description, the pear sample of selection is a lot, and this mainly is in order to carry out the needs of multiple situation analysis and checking, in actual use, can to require (for example being no less than 30) to gather according to the routine of collected specimens collection and get final product.200 the pear samples of the present invention to gathering, the result is by the inventive method checking, has 6 quilts to judge into good pears by accident in 168 evil mind pears, False Rate is 3.5%; Have 3 quilts to judge into the evil mind pears by accident in 32 good pears, False Rate is 9.5%, always differentiates accuracy and reaches 95.5%, and the present invention has good practicability value as can be seen.
In the foregoing description, the selected of two specific wavelength 713nm and 743nm can change to some extent, gets final product but generally change in the scope of ± 5nm.Empirical value is the difference statistics result of selected two characteristic wave strong point OD values in addition; draw and determine according to experimental analysis; because each department; variant trees; reach annual climatic condition and all can cause the situation of pear inside different, therefore in use, can be according to measurement result and actual observation situation; by method provided by the invention the discrimination model of setting up is carried out some adjustment, these adjustment should not got rid of outside protection scope of the present invention.
Claims (6)
1, a kind of quick nondestructive detects the method for pear internal soundness, and it may further comprise the steps:
(1) gathers pear to be measured in the OD value of two specific wavelengths with instrument one by one for (713 ± 5) nm and (743 ± 5) nm place;
The OD value of (713 ± 5) nm that (2) will obtain and (743 ± 5) nm two specific wavelengths is brought the discrimination model of the yali pear black heart of foundation in advance into, obtains the result of determination whether pear has black heart;
The discrimination model of the described yali pear black heart of setting up in advance, it is set up process and may further comprise the steps:
(A) gathering the pear sample sets, is the OD value at (713 ± 5) nm and (743 ± 5) nm place at two specific wavelengths with each sample in the instrument detecting sample sets;
(B) sample after inciting somebody to action after testing cuts along equatorial direction, and whether observe has the black heart pathology;
(C) each sample in the sample sets is all imported computing machine in the OD value and the corresponding sections observation result of (713 ± 5) nm and (743 ± 5) nm two specific wavelengths, after the employing method of difference is carried out computational analysis, obtains the discriminant equation of judgment threshold and pear evil mind:
△ OD ((713 ± 5) nm-(743 ± 5) nm)〉pear is the evil mind pears during judgment threshold
Pear has been pears during △ OD ((713 ± 5) nm-(743 ± 5) nm)≤judgment threshold
(D) bring the tested pear of the unknown into discriminant equation respectively in the OD value of (713 ± 5) nm and (743 ± 5) nm two characteristic wavelengths, and provide result of determination.
2, a kind of quick nondestructive as claimed in claim 1 detects the method for pear internal soundness, and it is characterized in that: described two specific wavelengths are 713nm and 743nm.
3, a kind of quick nondestructive as claimed in claim 1 detects the method for pear internal soundness, and it is characterized in that: described judgment threshold is-0.231.
4, a kind of quick nondestructive as claimed in claim 2 detects the method for pear internal soundness, and it is characterized in that: described judgment threshold is-0.231.
5, as the method for claim 1 or 2 or 3 or 4 described a kind of quick nondestructives detection pear internal soundnesses, it is characterized in that: the instrument of gathering two specific wavelengths is an optical filter type instrument.
6, as the method for claim 1 or 2 or 3 or 4 described a kind of quick nondestructives detection pear internal soundnesses, it is characterized in that: the instrument of gathering two specific wavelengths is the visible-near-infrared spectrum instrument.
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| CNB2004100986229A CN100494982C (en) | 2004-12-14 | 2004-12-14 | Non-destructive detection method for quickly detecting inner quality of pear |
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| CNB2004100986229A CN100494982C (en) | 2004-12-14 | 2004-12-14 | Non-destructive detection method for quickly detecting inner quality of pear |
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| CN100494982C true CN100494982C (en) | 2009-06-03 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103616346A (en) * | 2013-11-22 | 2014-03-05 | 江苏科技大学 | Method for rapidly detecting quality of ample flow pears |
| CN103760128B (en) * | 2014-01-06 | 2016-04-06 | 北京农业质量标准与检测技术研究中心 | Pine nematode method of early diagnosis |
| CN110376159A (en) * | 2019-08-22 | 2019-10-25 | 华东交通大学 | Yali pear black heart method for quick identification based on near-infrared diffusing transmission spectrum |
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Non-Patent Citations (6)
| Title |
|---|
| 基于光物性的鸭梨黑心病无损检测方法的研究. 涂润林.硕士学位论文. 2004 |
| 基于光物性的鸭梨黑心病无损检测方法的研究. 涂润林.硕士学位论文. 2004 * |
| 水果内部品质在线近红外分光检测装置及试验. 何东健，前川孝昭，森岛博.农业工程学报，第17卷第1期. 2001 |
| 水果内部品质在线近红外分光检测装置及试验. 何东健，前川孝昭，森岛博.农业工程学报，第17卷第1期. 2001 * |
| 苹果水心病的光学无损检测. 韩东海，刘新鑫等.农业机械学报，第35卷第5期. 2004 |
| 苹果水心病的光学无损检测. 韩东海，刘新鑫等.农业机械学报，第35卷第5期. 2004 * |
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