CN104062411A - Method for determining crude fiber content in citrus by texture determination - Google Patents
Method for determining crude fiber content in citrus by texture determination Download PDFInfo
- Publication number
- CN104062411A CN104062411A CN201310113644.7A CN201310113644A CN104062411A CN 104062411 A CN104062411 A CN 104062411A CN 201310113644 A CN201310113644 A CN 201310113644A CN 104062411 A CN104062411 A CN 104062411A
- Authority
- CN
- China
- Prior art keywords
- oranges
- tangerines
- test
- characteristic information
- fiber content
- 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.)
- Pending
Links
Landscapes
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The invention discloses a method for determining crude fiber content in citrus. The method comprises the following steps: 1) citrus pretreatment; 2) TPA testing and shearing testing of the citrus; 3) extraction of citrus texture characteristic information data; 4) citrus crude fiber content determination by a Van Soest method; 5) establishment of a regression model. A sample to be determined is subjected to TPA testing and shearing testing, and citrus texture characteristic information data are extracted and inputted into the regression model to calculate the crude fiber content in the citrus sample. The method of the invention has the advantages of high speed, high efficiency, no use of any chemical reagents, low analysis cost, no environment pollution, and the like, and can provide reliable basis for citrus crude fiber content determination.
Description
Technical field
The present invention relates to the assay method of crude fiber content in oranges and tangerines, relate in particular to a kind of method with crude fiber content in instrumental test oranges and tangerines.
Background technology
Dietary fiber is a kind of important nutrient in citrus fruit, and this class nutrient is that health diet is indispensable, and it is keeping the important role of performer in digestion health, simultaneously can prevention of various diseases.Cellulose in dietary fiber and hemicellulose can clean wall of digestive, strengthen digestive function, simultaneously can dilute and add removing of carcinogen in food and noxious material, protect fragile alimentary canal and prevent colon cancer.Therefore, in food, the mensuration of crude fibre just seems very important.Dietary fiber in citrus product comprises cellulose, hemicellulose, lignin and protopectin etc., and wherein cellulose, hemicellulose and lignin are coarse-fibred chief component.At present China adopts Detergent method to measure the crude fiber content in oranges and tangerines, and this assay method process is very loaded down with trivial details, and can inevitably produce error, such as the error producing in the measuring of reagent, temperature control, residue flushing process.Therefore, need to find a kind of objective, method of measuring simply, quickly and accurately oranges and tangerines crude fiber content.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the object of patent of the present invention is to provide a kind of method with crude fiber content in matter structure test determination oranges and tangerines, and the method rapid and convenient, can be used for industrialization continued operation.
The assay method of a kind of oranges and tangerines crude fiber content provided by the invention, comprises the steps:
1) oranges and tangerines pre-service;
2) to described step 1) oranges and tangerines that obtain carry out TPA test and shear test, obtain oranges and tangerines matter structure characteristic information;
3) to described step 2) the matter structure characteristic information that obtains carries out pre-service, obtains oranges and tangerines matter structure characteristic information data;
4) to described step 2) oranges and tangerines that obtain measure crude fiber content by Fan Shi method, obtain its chemical assay value;
5) foundation of regression model:
Using described step 3) the matter structure characteristic information data of gained are as independent variable, step 4) crude fiber content of gained is as dependent variable, sets up the regression model (being also the mapping relations between crude fiber content and matter structure characteristic information data) between described independent variable and described dependent variable with statistic algorithm;
6) mensuration of the oranges and tangerines sample of unknown crude fiber content:
More desirable oranges and tangerines samples to be measured also in addition, repeating said steps 1) to step 3), by step 3) the matter structure characteristic information data that obtain input described step 5) regression model, obtain the coarse-fibred content in described oranges and tangerines sample to be measured.
Above-mentioned steps 1) in, described pre-service is, after oranges and tangerines are plucked, to peel off pericarp after preserving 36 hours at 8 DEG C-15 DEG C.
Described step 2) in, described TPA test matter structure characteristic information is: consistency and elasticity; Described shear test matter structure characteristic information is: maximum shear stress and shear work.
Described step 2) in, in described TPA test, matter structure instrument adopts the probe of P100/R, and before surveying, speed is that 1mm/s, test rate are that after 0.5mm/s, survey, speed is 2mm/s, and test interval is 1s, and compression percentages is 30%; In described shear test, matter structure instrument adopts dove-tail form stainless steel scissors to test, and before surveying, after speed, survey, speed is 1mm/s, and test rate is 0.5mm/s, and shear distance is 15mm.
Described step 3) described pre-service comprises: by described step 2) the matter structure characteristic information that obtains is transformed to 4-6 mutual incoherent variable.
Described step 4) in, described robust fibre comprises cellulose, hemicellulose and lignin; The chemical assay value of described oranges and tangerines crude fiber content is used Fan Shi method to record.
Described step 5) in, described statistic algorithm is arithmetic of linearity regression.
In addition, can be in accordance with the following steps to step 5) gained regression model tests: get in addition some oranges and tangerines samples to be measured, repeating said steps 1) to step 3), by step 3) the matter structure characteristic information data that obtain input described step 5) regression model, obtain the coarse-fibred content in described oranges and tangerines sample to be measured.
The present invention has for example collected a collection of representative oranges and tangerines sample: Olympic reaches oranges and tangerines, volt makes how 9 Citrus Cultivars such as oranges and tangerines, Si Jiagesi oranges and tangerines, large fruit oranges and tangerines, Fu Luosite oranges and tangerines of oranges and tangerines, seedless oranges and tangerines, red oranges and tangerines, Kang Beier oranges and tangerines, honey.Using this batch of oranges and tangerines as the sample of setting up regression model, a kind of method of utilizing matter structure instrument oranges and tangerines to be carried out TPA test and shear test and measured crude fiber content has wherein been proposed, the method application multivariate statistical method is carried out association study to oranges and tangerines matter structure characteristic information data and crude fiber content, can determine the qualitative or quantitative relationship between the two, i.e. regression model.Set up after regression model, as long as measure the matter structure characteristic information data of unknown sample, just can determine the coarse-fibred content of oranges and tangerines according to regression model.The method has that analysis speed is fast, analysis efficiency is high, inapplicable any chemical reagent, and analysis cost is low, and environment is not caused to the advantage of any pollution.
Embodiment
Below in conjunction with specific embodiment, and comparable data is described the present invention in further detail.Should be understood that these embodiment just in order to demonstrate the invention, and not limit the scope of the invention by any way.
In following examples, the unified SPSS software that adopts carries out data analysis.Testing index is the hardness (hardness of oranges and tangerines, HN), elasticity (springiness, SN), cellulose, hemicellulose, the lignin of maximum shear stress (shear force, SF), shear work (shear work, SW) and oranges and tangerines.
Test apparatus: the matter structure instrument, juice extractor, water-bath, thermometer of the TMS-CONSOLE model that FTC company of the U.S. produces etc.
Embodiment 1:
1) oranges and tangerines pre-service: in May, 2012, early and middle ten days was plucked Zigui County of Three Gorges Reservoir Region oranges and tangerines, comprise that Olympic reaches oranges and tangerines, volt and makes how 9 Citrus Cultivars such as oranges and tangerines, Si Jiagesi oranges and tangerines, large fruit oranges and tangerines, Fu Luosite oranges and tangerines of oranges and tangerines, seedless oranges and tangerines, red oranges and tangerines, Kang Beier oranges and tangerines, honey, each kind is 30 of tree crown middle part peripheral difference fruit pickings, get spheroidal, not damaged, immaculate, smooth outer surface fruit.Oranges and tangerines after plucking are preserved 36 hours at 8 DEG C-15 DEG C, peelled off the pericarp of oranges and tangerines.
2) TPA test and shear test:
TPA test: by step 1) pretreated oranges and tangerines are placed on experiment table, adopt the probe of P100/R, before surveying speed be 1mm/s, test rate be 0.5mm/s, survey after speed be 2mm/s, test interval is 1s, compression percentages is 30%.Mode is longitudinal compression, and compression position is carpopodium district, oranges and tangerines top, and each kind is chosen immediately 10 and tested, and experimental result is averaged.
Shear test: pretreated step 1 oranges and tangerines are got to a lobe and be placed in matter structure instrument platform, take dove-tail form stainless steel scissors to test, before surveying, after speed, survey, speed is 1mm/s, and test rate is 0.5mm/s, and shear distance is 15mm.Sample is measured at ambient temperature.Every veriety is chosen 6-8 fruit sample, and each sample extraction 4 lobes carry out parallel experiment.
3) by step 2) and step 3) the matter structure characteristic information that obtains after TPA test and shear test carries out pre-service, obtains matter structure characteristic information data;
4) coarse-fibred mensuration: to described step 2) the oranges and tangerines Fan Shi method obtaining carries out the mensuration of crude fiber content, and step is as follows:
Measure 3 kinds of principal ingredients in robust fibre: cellulose, hemicellulose and lignin.Before experiment, oranges and tangerines are squeezed the juice and made dry sample, 3% neutral detergent (SDS) for 0.5g dry sample is hydrolyzed to lh in boiling water bath, after filtering, wash residue 3 times with distilled water and acetone, 100 DEG C of insulation 50min of 2M HCl for residue, filter, and rinsing residue is to pH6.5-7.0, filtrate is settled to the mensuration of 100ml for hemicellulose level, method is orcin method, taking wood sugar as standard specimen, and all replications 3 times.Use 72%H2SO4 in 35 DEG C of hydrolysis 1h the residue after washing, then add the distilled water of 4 times of volumes, 100 DEG C of hydrolysis 1h, get filtrate after filtration, with green onion ketone colorimetric method for determining content of cellulose.Lignin is the 80 DEG C of weight to constant weight of residue after cellulose filters.Equal replication 3 times above.The summation of cellulose, hemicellulose and content of lignin is oranges and tangerines crude fiber content.
5) foundation of regression model: using described step 3) the matter structure characteristic information data of gained are as independent variable, step 4) crude fiber content of gained is as dependent variable, sets up the regression model (being also the mapping relations between crude fibre content and matter structure characteristic information data) between described independent variable and described dependent variable with arithmetic of linearity regression; Gained model result is as shown in table 1:
The correlation analysis of table 1 matter structure characteristic information data and crude fiber content
Note:
*. at the upper significant correlation of 0.05 level (bilateral).
*. at the upper significant correlation of .01 level (bilateral).
As shown in Table 1: the main and hardness of fruit robust fibre, elastic relevance, therefore, using fruit robust fibre (CC) as dependent variable, carry out stepwise regression analysis, obtain regression equation as follows:
CC＝312.62+0.99HN-4.324SN+0.343SF+0.358SW (R＝0.917)
Go up according to this equation, between matter structure characteristic information data and crude fiber content, all showing certain correlativity, there is negative correlation in consistency and elasticity and crude fibre, and maximum shear stress and cut-out merit and the significant positive correlation of its existence, shear parameters is larger, and crude fiber content is higher.
The coarse-fibred regression equation coefficient of determination of fruit reaches more than 0.9, illustrates that its fitting degree is very high, can be by this equation of matter structure characteristic information data substitution of oranges and tangerines is obtained to the coarse-fibred content of oranges and tangerines.
Claims (7)
1. an assay method for oranges and tangerines crude fiber content, comprises the steps:
1) oranges and tangerines are carried out to pre-service;
2) to described step 1) pretreated oranges and tangerines sample carries out TPA test and shear test, obtains the matter structure characteristic information of oranges and tangerines sample;
3) to described step 1) the matter structure characteristic information that obtains carries out pre-service, obtains characteristic information data;
4) to described step 2) oranges and tangerines that obtain measure crude fiber content by Fan Shi method, obtain its chemical assay value;
5) using described step 3) the matter structure characteristic information data of gained are as independent variable, step 4) crude fiber content of gained is as dependent variable, sets up the regression model between described independent variable and described dependent variable with statistic algorithm.
2. method according to claim 1, is characterized in that: described step 1) in, described pre-service is, after oranges and tangerines are plucked, at 8 DEG C-15 DEG C, to preserve 36 hours.
3. method according to claim 1, is characterized in that: described step 2) in, described TPA test matter structure characteristic information is: consistency and elasticity; Described shear test matter structure characteristic information is: maximum shear stress and shear work.
4. method according to claim 1, it is characterized in that: described step 2) in, in described TPA test, matter structure instrument adopts the probe of P100/R, before surveying, speed is that 1mm/s, test rate are that after 0.5mm/s, survey, speed is 2mm/s, test interval is 1s, and compression percentages is 30%; In described shear test, matter structure instrument adopts dove-tail form stainless steel scissors to test, and before surveying, after speed, survey, speed is 1mm/s, and test rate is 0.5mm/s, and shear distance is 15mm.
5. method according to claim 1, is characterized in that: described step 4) in, the chemical assay value of described oranges and tangerines crude fiber content is used Fan Shi method to record.
6. according to the arbitrary described method of claim 1-4, it is characterized in that: described step 3) described pre-service comprises: by described step 2) the matter structure characteristic information that obtains is transformed to 4-6 mutual incoherent variable.
7. according to the arbitrary described method of claim 1-5, it is characterized in that: described statistic algorithm is arithmetic of linearity regression.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310113644.7A CN104062411A (en) | 2013-03-22 | 2013-03-22 | Method for determining crude fiber content in citrus by texture determination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310113644.7A CN104062411A (en) | 2013-03-22 | 2013-03-22 | Method for determining crude fiber content in citrus by texture determination |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104062411A true CN104062411A (en) | 2014-09-24 |
Family
ID=51550218
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310113644.7A Pending CN104062411A (en) | 2013-03-22 | 2013-03-22 | Method for determining crude fiber content in citrus by texture determination |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104062411A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104374887A (en) * | 2014-11-20 | 2015-02-25 | 江西农业大学 | Physical checking method for melting property of citrus fruit |
| CN106323803A (en) * | 2016-08-16 | 2017-01-11 | 天津市农业质量标准与检测技术研究所 | Method for rapidly determining coarse fiber content in plant-caused agricultural product |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202049082U (en) * | 2011-04-14 | 2011-11-23 | 济南海能仪器有限公司 | Crude fiber test instrument |
-
2013
- 2013-03-22 CN CN201310113644.7A patent/CN104062411A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202049082U (en) * | 2011-04-14 | 2011-11-23 | 济南海能仪器有限公司 | Crude fiber test instrument |
Non-Patent Citations (5)
| Title |
|---|
| VIRGINIA K. CORRIGAN: "Assessment of objective texture measurements for characterising and predicting the sensory quality of squash(Cucurbita maxima)", 《NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE》 * |
| 尹玲等: "南瓜的感官品质、质构及生化分析", 《食品科学》 * |
| 潘永康等: "《中华人民共和国国家标准GB10469-89》", 1 October 1989 * |
| 蒋永清: "纤维性物质分析方法的演变", 《国外畜牧学：饲料》 * |
| 雷莹: "柑橘果实化渣性研究", 《万方学位论文库》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104374887A (en) * | 2014-11-20 | 2015-02-25 | 江西农业大学 | Physical checking method for melting property of citrus fruit |
| CN106323803A (en) * | 2016-08-16 | 2017-01-11 | 天津市农业质量标准与检测技术研究所 | Method for rapidly determining coarse fiber content in plant-caused agricultural product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102749370A (en) | Nondestructive rapid detection method of quality index of shell agricultural products | |
| Wolfrum et al. | Correlating detergent fiber analysis and dietary fiber analysis data for corn stover collected by NIRS | |
| CN104849321A (en) | Method for quickly detecting citrus quality based on olfactory fingerprint atlas | |
| CN104255118B (en) | Rapid lossless testing method based on near infrared spectroscopy technology for paddy rice seed germination percentage | |
| CN108414376B (en) | Convenient nondestructive peach fruit hardness determination model establishing method | |
| CN105138834A (en) | Tobacco chemical value quantifying method based on near-infrared spectrum wave number K-means clustering | |
| Nunes et al. | Search for suitable maturation parameters to define the harvest maturity of plums (Prunus domestica L.): a case study of candied plums | |
| CN104062411A (en) | Method for determining crude fiber content in citrus by texture determination | |
| CN101710072A (en) | Method for detecting physical and chemical indexes of reconstituted tobacco extracting solution and tobacco extracting paste by near infrared spectrum detection paper making method | |
| Zaki Dizaji et al. | Application of E-nose technique to predict sugarcane syrup quality based on purity and refined sugar percentage | |
| CN108181260B (en) | Method for identifying squeezed tea oil and leached tea oil | |
| CN105105311A (en) | Determination method of paper-making reconstituted tobacco raw material extraction rate | |
| CN103353445A (en) | Technical method for quickly identifying drought resistance of wheat by using near-infrared spectroscopy | |
| Wang et al. | Monitoring model for predicting maize grain moisture at the filling stage using NIRS and a small sample size | |
| CN110308247B (en) | Efficient plant cold resistance in-vivo identification method | |
| CN105588818A (en) | Near-infrared determination method for content of gossypol in cottonseed powder | |
| CN107132141B (en) | Method for rapidly determining content of waxiness on pear fruit epidermis | |
| Chen et al. | Quality detection and variety classification of pecan seeds using hyperspectral imaging technology combined with machine learning | |
| CN105675533B (en) | Method based on FTIR spectrum technology early detection fingered citron anthracnose | |
| CN106248613A (en) | A kind of method measuring the Eucalyptus cloeziana mechanical property of wood | |
| CN1789976A (en) | Non-destructive detection method for quickly detecting brown core of pear | |
| CN105181639A (en) | Method for quickly determining content of pentosan in broad-leaved wood based on near infrared spectrum technology | |
| CN111537467A (en) | Method for nondestructively measuring starch content of mung beans | |
| CN105136704B (en) | A kind of method of quick measure brewer's yeast milk dry matter content | |
| CN115420708B (en) | Near-infrared nondestructive detection method for capsaicin substances in dry peppers |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140924 |