CN104792948A - Pearl rice ball texture testing method based on response surface method - Google Patents
Pearl rice ball texture testing method based on response surface method Download PDFInfo
- Publication number
- CN104792948A CN104792948A CN201510218248.XA CN201510218248A CN104792948A CN 104792948 A CN104792948 A CN 104792948A CN 201510218248 A CN201510218248 A CN 201510218248A CN 104792948 A CN104792948 A CN 104792948A
- Authority
- CN
- China
- Prior art keywords
- texture
- pearl powder
- factor
- testing method
- rice ball
- 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 pearl rice ball texture testing method based on a response surface method. The method comprises the following steps: firstly, performing a preliminary experiment to determine factors and levels; acquiring an experiment plan by utilizing a central composite design according to the acquired factors and levels; performing texture profile analysis detection on the pearl rice ball according to the experiment plan to obtain texture parameter data; inputting the obtained texture parameter data into response surface analysis software to perform regression analysis to obtain regression relation formula of the factors and the texture parameters to obtain a response surface chart; and finally determining a horizontal parameter combination which is formed by optimizing all factors. According to the pearl rice ball texture testing method, the pearl rice ball texture testing method is improved by using the response surface method; by utilizing the improved method, the texture of the pearl rice ball can be accurately detected, and the method can be directly applied to actual production of the pearl rice ball; meanwhile, the improvement of a formula of the pearl rice ball by manufacturers is facilitated.
Description
Technical field
The invention belongs to field of food, be specifically related to a kind of Pearl powder dumpling texture testing method based on response phase method.
Background technology
Pearl milk tea is a kind of characteristic drink being derived from Taiwan, and unique flavor is delicious good to eat, especially the black pearl powder circle of the inside, resilient enough be extremely welcome drink instantly, and the market outlook of matter structure to Pearl powder dumpling and relevant food of Pearl powder dumpling has significant impact.In prior art, the general Texture instrument that uses carries out texture testing to Pearl powder dumpling, this assay method can determine the value of the texture characteristic such as elasticity, hardness, cohesiveness of Pearl powder dumpling, method is simple, quick, but the value of texture characteristic changes along with condition determination change in mensuration process, therefore, the texture characteristic accomplishing accurately to reflect Pearl powder dumpling is difficult to.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of Pearl powder dumpling texture testing method based on response phase method, the texture testing of the method to Pearl powder dumpling is more accurate.
The technical solution used in the present invention is as follows:
1, based on the Pearl powder dumpling texture testing method of response phase method, comprise the steps:
(1) first preliminary experiment determination factor and level is carried out;
(2) factor obtained according to step (1) and level, utilize center combination design to obtain experimental program, and experimentally scheme carries out texture profile analysis detection to Pearl powder dumpling, obtains the data of matter structure parameter;
(3) regretional analysis is carried out in the data input response surface analysis software of matter structure parameter step (2) obtained, the regression relation of acquisition factor and matter structure parameter, meet with a response face figure, finally determines that the horizontal parameters after each factors optimization combines.
Preferably, factor and level described in described step (1) are two factor two levels, and described factor is compression speed and compression degree, and described compression speed horizontal extent is 1 ~ 5mm/s, and described compression degree horizontal extent is 50 ~ 90%.
Preferably, matter structure parameter described in described step (2) is at least one in hardness, elasticity, cohesiveness, chewiness or recovery.
Preferably, the data of matter structure parameter described in described step (2) are the mean value after repeatedly measuring, and described mean value TPA-Macro analyzes and obtains.
Preferably, response surface analysis software described in described step (3) is Design Expert 8.0 software.
Preferably, described in described step (3), the regression relation of factor and matter structure parameter is as follows:
Hardness Y
1=527.28+95.73 × A+3710.78 × B+142.17 × A × B-390.26 × A
2+ 3027.19 × B
2;
Elasticity Y
2=1.18+0.50 × A-0.67 × B-0.49 × A × B+0.19 × A
2+ 0.16 × B
2;
Cohesiveness Y
3=0.75+0.023 × A-0.098 × B;
Chewiness Y
4=463.78+223.89 × A+1542.65 × B+108.31 × A × B-90.02 × A
2+ 1185.70 × B
2;
Recovery Y
5=0.62+2.229E
-003× A-0.13 × B+0.11 × A × B;
Wherein, A is compression speed, and B is compression degree.
Preferably, when carrying out preliminary experiment in described step (1), the Texture instrument selected probe model is P50, and test condition is: speed 2mm/s before surveying, test rate and after surveying speed be 1mm/s, stop interval 2s, trigger value 5g
Beneficial effect of the present invention is: the present invention improves by utilizing the assay method of response phase method to Pearl powder dumpling matter structure, method after improvement can more accurately detect the matter structure of Pearl powder dumpling, can directly apply in the actual production of Pearl powder dumpling, contribute to the formula of manufacturer to Pearl powder dumpling simultaneously and improve.
Accompanying drawing explanation
In order to make object of the present invention, technical scheme and beneficial effect clearly, the invention provides following accompanying drawing:
Fig. 1 is the analysis result of hardness influence factor;
Fig. 2 is the analysis result of elasticity effect factor;
Fig. 3 is the analysis result of cohesiveness influence factor;
Fig. 4 is the analysis result of chewiness influence factor;
Fig. 5 is the analysis result of recovery influence factor.
Embodiment
Below the preferred embodiments of the present invention are described in detail.The experimental technique of unreceipted actual conditions in embodiment, the usually conveniently conditioned disjunction condition of advising according to manufacturer.
Pearl powder dumpling is purchased from the large Taibei, Chongqing pearl milk tea; TA.XTplus type Texture instrument is purchased from SMS company of Britain.
Based on the Pearl powder dumpling texture testing method of response phase method, comprise the steps:
(1) first preliminary experiment determination factor and level is carried out;
As further improvement, described factor and level are two factor two levels, and described factor is compression speed and compression degree, and described compression speed horizontal extent is 1 ~ 5mm/s, and described compression degree horizontal extent is 50 ~ 90%.
Example is operating as: when carrying out preliminary experiment with the present invention, select TA.XTplus type Texture instrument to carry out texture profile analysis detection (TPA) to Pearl powder dumpling to measure, probe model is P50, test condition is: speed 2mm/s before surveying, test rate and rear flank speed are 1mm/s, stop interval 2s, trigger value 5g.Preliminary experiment determination compression speed horizontal extent is 1-5mm/s, and compression degree horizontal extent is that the reason of 50-90% is as follows: compression speed is too fast, and Pearl powder dumpling can be pasted and can not be separated in time on probe, affects TPA measured value; Compression speed is excessively slow, and probe is slowly mobile, loses time; Compression degree is too small, accurately cannot reflect elasticity and the recovery value of Pearl powder dumpling; Compression degree is excessive, and probe can destroy Pearl powder dumpling institutional framework, and the measurement result obtained is unavailable.
(2) factor obtained according to step (1) and horizontal extent, utilize center combination design to obtain experimental program, and experimentally scheme carries out texture profile analysis detection to Pearl powder dumpling, obtains the data of matter structure parameter;
As further improvement, matter structure parameter described in described step (2) is at least one in hardness, elasticity, cohesiveness, chewiness or recovery.
As further improvement, the data of matter structure parameter described in described step (2) are the mean value after repeatedly measuring, and described mean value TPA-Macro analyzes and obtains.
For operating process of the present invention:
The experimental program that center combination design Central-Composite Design (CCD) obtains in table 1,
The experimental design of table 1 response surface
The present invention carries out Pearl powder dumpling texture profile analysis detection (TPA) according to the experimental program that center combination design obtains, as shown in table 2,
Table 2 Pearl powder dumpling TPA condition determination and corresponding result
| Compression speed (mm/s) | Compression degree (%) | Hardness | Elasticity | Cohesiveness | Chewiness | Recovery | |
| 1 | 1 | 90 | 4438.594 | 0.723 | 0.595 | 1899.787 | 0.386 |
| 2 | 5 | 50 | 133.034 | 3.374 | 0.917 | 409.617 | 0.728 |
| 3 | 3 | 70 | 544.921 | 1.206 | 0.763 | 490.05 | 0.602 |
| 4 | 1 | 50 | 119.549 | 1.229 | 0.807 | 131.169 | 1.012 |
| 5 | 3 | 70 | 517.913 | 1.344 | 0.765 | 512.802 | 0.604 |
| 6 | 5 | 90 | 5020.774 | 0.905 | 0.609 | 2611.49 | 0.545 |
| 7 | 3 | 41.72 | 77.303 | 2.308 | 0.852 | 172.133 | 0.665 |
| 8 | 3 | 70 | 500.054 | 1.136 | 0.76 | 421.584 | 0.604 |
| 9 | 0.17 | 70 | 422.813 | 0.948 | 0.74 | 297.017 | 0.55 |
| 10 | 3 | 70 | 503.893 | 1.204 | 0.762 | 462.896 | 0.602 |
| 11 | 5.83 | 70 | 543.145 | 2.11 | 0.783 | 863.373 | 0.651 |
| 12 | 3 | 70 | 569.6343 | 0.989 | 0.766 | 431.561 | 0.605 |
| 13 | 3 | 98.28 | 14558.48 | 0.627 | 0.665 | 6091.119 | 0.497 |
Respectively factor levels different in table 2 is combined as condition determination, go the Pearl powder dumpling of same batch to measure, often organize survey ten times, by TPA-Macro, analysis is carried out to each texture characteristic value measured and draw mean value.
(3) regretional analysis is carried out in the data input response surface analysis software of matter structure parameter step (2) obtained, the regression relation of acquisition factor and matter structure parameter, meet with a response face figure, finally determines that the horizontal parameters after each factors optimization combines.
As further improvement, response surface analysis software described in described step (3) is Design Expert 8.0 software.
For operating process of the present invention: result is input in the experimental program form designed by Design Expert8.0 software, use the experimental data in Design Expert8.0 software his-and-hers watches 2 to carry out regretional analysis, obtain hardness (Y respectively
1), elasticity (Y
2), cohesiveness (Y
3), chewiness (Y
4), recovery (Y
5) regression relation as follows:
Hardness (Y
1)=527.28+95.73 × A+3710.78 × B+142.17 × A × B-390.26 × A
2+ 3027.19 × B
2;
Elasticity (Y
2)=1.18+0.50 × A-0.67 × B-0.49 × A × B+0.19 × A
2+ 0.16 × B
2;
Cohesiveness (Y
3)=0.75+0.023 × A-0.098 × B;
Chewiness (Y
4)=463.78+223.89 × A+1542.65 × B+108.31 × A × B-90.02 × A
2+ 1185.70 × B
2;
Recovery (Y
5)=0.62+2.229E
-003× A-0.13 × B+0.11 × A × B;
Wherein, A is compression speed, and B is compression degree.
1. hardness analysis
The variance analysis of table 3 hardness
Note: " Prob>F " < 0.001, highly significant; * " Prob>F " < 0.01, extremely significantly; * " Prob>F " <0.05, significantly; NS " Prob>F " > 0.05, not significantly.
As shown in Table 3, hardness regression model F value is 12.34, Prob>F<0.0100, and illustrate that regression effect is extremely remarkable, A is not remarkable on hardness impact, and B affects highly significant to hardness, AB and A
2not remarkable on hardness impact, B
2extremely remarkable on hardness impact.
The analysis of hardness influence factor: as can be seen from result shown in Fig. 1, compression speed one timing, compression degree is within the scope of 50-58%, and along with the increase of compression degree, hardness measurements reduces gradually; Compression degree is within the scope of 58-90%, and along with the increase of compression degree, hardness measurements increases gradually, and when 58%, hardness reaches minimum value, and compression degree is to sample effects highly significant.Compression degree one timing, compression speed is within the scope of 1-3mm/s, and along with speeding of compression speed, hardness measurements increases gradually; Compression degree is within the scope of 3-4mm/s, and hardness measurements change is mild; Compression speed is within the scope of 4-5mm/s, and along with the increase of compression speed, hardness measurements reduces gradually, but compression speed is not remarkable on hardness measurements impact.
2. flexibility analysis
The variance analysis of table 4 elasticity
Note: " Prob>F " < 0.001, highly significant; * " Prob>F " < 0.01, extremely significantly; * " Prob>F " <0.05, significantly; NS " Prob>F " > 0.05, not significantly.
As shown in Table 4, resilient model F value is 54.69, Prob>F<0.0010; Resilient effect highly significant, A to elasticity effect highly significant, B to elasticity effect highly significant, AB to elasticity effect highly significant, A
2and B
2remarkable to elasticity effect.
The analysis of elasticity effect factor: as can be seen from Figure 2, compression degree and compression speed affect highly significant to flexibility test value, and compression degree is certain, and when compression speed is increased to 5mm/s gradually by 1mm/s, elasticity increases gradually; When compression speed is certain, when compression degree increases gradually by 50% to 90%, elasticity reduces gradually.
3. cohesiveness analysis
The variance analysis of table 5 cohesiveness
Note: " Prob>F " < 0.001, highly significant; * " Prob>F " < 0.01, extremely significantly; * " Prob>F " <0.05, significantly; NS " Prob>F " > 0.05, not significantly.
As shown in Table 5, cohesiveness regression model F value is 30.12, Prob>F<0.0010; Cohesiveness regression effect highly significant, A is not remarkable on cohesiveness impact, and B affects highly significant to cohesiveness.
The analysis of cohesiveness influence factor: as can be seen from Figure 3, compression speed one timing, compression degree affects highly significant to cohesiveness measured value, and compression degree increases within the scope of 50-90%; Cohesiveness measured value reduces gradually, compression degree one timing, and compression speed is not remarkable on cohesiveness impact.
4. chewiness analysis
The variance analysis of table 6 chewiness
As shown in Table 6, chewiness regression model F value Prob>F<0.0100; Chewiness regression effect is extremely remarkable, and A is not remarkable on chewiness impact, and B affects highly significant to chewiness, and AB is not remarkable on chewiness impact, A
2not remarkable on chewiness impact, B
2chewiness impact is extremely remarkable.
The analysis of chewiness influence factor: as can be seen from Figure 4, compression speed one timing, on chewiness impact significantly, compression degree increases compression degree in the scope of 50-58%, and chewiness measured value reduces gradually; Compression degree increases in the scope of 58-90%, and chewiness measured value increases gradually.Compression degree one timing, compression speed increases gradually, and chewiness measured value increases gradually, but impact is not remarkable.
5. recovery analysis
The variance analysis of table 7 recovery
As shown in Table 7, recovery regression model F value Prob>F<0.0100; Recovery regression effect is extremely remarkable, and A is not remarkable on chewiness impact, and B is extremely remarkable on chewiness impact, and AB on chewiness impact significantly.
The analysis of recovery influence factor: as can be seen from Figure 5, compression speed one timing, compression degree increases in the scope of 50-90%, and recovery measured value reduces gradually, and compression degree affects highly significant to recovery; Compression speed is comparatively complicated on restorative impact, and compression degree is within the scope of 50-71%, and compression speed increases, and recovery reduces gradually, and compression degree is within the scope of 71-90%, and compression speed increases, and restorative measured value increases gradually, but impact is not remarkable.
Comprehensive texture testing condition confrontation structure characteristic value must affect known, and compression degree, within the scope of 30-90%, has highly significant to affect on hardness, elasticity, cohesiveness and chewiness, has pole appreciable impact to recovery; Compression speed, within the scope of 1-5mm/s, affects remarkable, to elasticity effect highly significant on hardness, cohesiveness, chewiness, recovery.Optimal compression speed 3.07mm/s, the compression degree 73.05% that response surface data analysis draws is carried out by design expert 8.0 software, therefore in practical measurement process, select compression degree 70%, during compression speed 3mm/s, the product performance of Pearl powder dumpling can be reflected preferably.
What finally illustrate is, above preferred embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although by above preferred embodiment to invention has been detailed description, but those skilled in the art are to be understood that, various change can be made to it in the form and details, and not depart from claims of the present invention limited range.
Claims (7)
1., based on the Pearl powder dumpling texture testing method of response phase method, it is characterized in that, comprise the steps:
(1) first preliminary experiment determination factor and level is carried out;
(2) factor obtained according to step (1) and level, utilize center combination design to obtain experimental program, and experimentally scheme carries out texture profile analysis detection to Pearl powder dumpling, obtains the data of matter structure parameter;
(3) regretional analysis is carried out in the data input response surface analysis software of matter structure parameter step (2) obtained, the regression relation of acquisition factor and matter structure parameter, meet with a response face figure, finally determines that the horizontal parameters after each factors optimization combines.
2. the Pearl powder dumpling texture testing method based on response phase method according to claim 1, it is characterized in that, factor and level described in described step (1) are two factor two levels, described factor is compression speed and compression degree, described compression speed horizontal extent is 1 ~ 5mm/s, and described compression degree horizontal extent is 50 ~ 90%.
3. the Pearl powder dumpling texture testing method based on response phase method according to claim 2, it is characterized in that, described in described step (2), matter structure parameter is hardness, elasticity, cohesiveness, chewiness and recovery.
4. the Pearl powder dumpling texture testing method based on response phase method according to claim 1, is characterized in that, the data of matter structure parameter described in described step (2) are the mean value after repeatedly measuring, and described mean value TPA-Macro analyzes and obtains.
5. the Pearl powder dumpling texture testing method based on response phase method according to claim 3, is characterized in that, response surface analysis software described in described step (3) is Design Expert 8.0 software.
6. the Pearl powder dumpling texture testing method based on response phase method according to claim 5, it is characterized in that, described in described step (3), the regression relation of factor and matter structure parameter is as follows:
Hardness Y
1=527.28+95.73 × A+3710.78 × B+142.17 × A × B-390.26 × A
2+ 3027.19 × B
2;
Elasticity Y
2=1.18+0.50 × A-0.67 × B-0.49 × A × B+0.19 × A
2+ 0.16 × B
2;
Cohesiveness Y
3=0.75+0.023 × A-0.098 × B;
Chewiness Y
4=463.78+223.89 × A+1542.65 × B+108.31 × A × B-90.02 × A
2+ 1185.70 × B
2;
Recovery Y
5=0.62+2.229E
-003× A-0.13 × B+0.11 × A × B;
Wherein, A is compression speed, and B is compression degree.
7. the Pearl powder dumpling texture testing method based on response phase method according to claim 1, it is characterized in that, when carrying out preliminary experiment in described step (1), the Texture instrument probe model selected is P50, test condition is: speed 2mm/s before surveying, test rate and the rear speed of survey are 1mm/s, stop interval 2s, trigger value 5g.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510218248.XA CN104792948A (en) | 2015-04-30 | 2015-04-30 | Pearl rice ball texture testing method based on response surface method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510218248.XA CN104792948A (en) | 2015-04-30 | 2015-04-30 | Pearl rice ball texture testing method based on response surface method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104792948A true CN104792948A (en) | 2015-07-22 |
Family
ID=53557926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510218248.XA Pending CN104792948A (en) | 2015-04-30 | 2015-04-30 | Pearl rice ball texture testing method based on response surface method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104792948A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109270229A (en) * | 2018-07-24 | 2019-01-25 | 广州粮将电子商务有限公司 | Rice assessment method |
| CN112034116A (en) * | 2020-07-31 | 2020-12-04 | 厦门超技仪器设备有限公司 | Method for measuring chewing texture of noodles by using texture analyzer to perform three-stage compression test |
| CN112946209A (en) * | 2021-02-03 | 2021-06-11 | 太原理工大学 | Non-contact detection tracking method and detection system for walnut powder freshness |
| CN114791477A (en) * | 2021-01-25 | 2022-07-26 | 北京中医药大学 | Application of large honeyed pill texture sensory attribute detection method in quality control |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101241118A (en) * | 2008-03-20 | 2008-08-13 | 上海理工大学 | Method for predicating fumigated boiled sausage texture sensory evaluation based on BP nerval net |
| CN101781641A (en) * | 2009-10-09 | 2010-07-21 | 天津科技大学 | Optimization method of culture conditions of alkaline pectinase gene engineering bacteria |
| CN101919520A (en) * | 2009-06-17 | 2010-12-22 | 东北农业大学 | Technology of microwave vacuum extrusion of lonicera edulis chip |
| CN102605012A (en) * | 2011-01-21 | 2012-07-25 | 国家***第三海洋研究所 | Method for improving microalgae-oil-and-fat-prepared biodiesel productivity under optimum enzymic catalytic reaction condition |
| CN102830027A (en) * | 2012-08-12 | 2012-12-19 | 南京农业大学 | Determination method for texture properties of meat product |
| CN103497105A (en) * | 2013-10-18 | 2014-01-08 | 厦门大学 | Method for preparing ethyl levulinate through ultralow acid catalysis tapioca starch |
| CN103622074A (en) * | 2013-11-15 | 2014-03-12 | 福建安井食品股份有限公司 | Processing method of extraction recombinant low-value fish protein |
| CN103792153A (en) * | 2014-02-25 | 2014-05-14 | 山东东阿阿胶股份有限公司 | Method for quantitatively detecting hardness of donkey-hide gelatin cakes |
-
2015
- 2015-04-30 CN CN201510218248.XA patent/CN104792948A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101241118A (en) * | 2008-03-20 | 2008-08-13 | 上海理工大学 | Method for predicating fumigated boiled sausage texture sensory evaluation based on BP nerval net |
| CN101919520A (en) * | 2009-06-17 | 2010-12-22 | 东北农业大学 | Technology of microwave vacuum extrusion of lonicera edulis chip |
| CN101781641A (en) * | 2009-10-09 | 2010-07-21 | 天津科技大学 | Optimization method of culture conditions of alkaline pectinase gene engineering bacteria |
| CN102605012A (en) * | 2011-01-21 | 2012-07-25 | 国家***第三海洋研究所 | Method for improving microalgae-oil-and-fat-prepared biodiesel productivity under optimum enzymic catalytic reaction condition |
| CN102830027A (en) * | 2012-08-12 | 2012-12-19 | 南京农业大学 | Determination method for texture properties of meat product |
| CN103497105A (en) * | 2013-10-18 | 2014-01-08 | 厦门大学 | Method for preparing ethyl levulinate through ultralow acid catalysis tapioca starch |
| CN103622074A (en) * | 2013-11-15 | 2014-03-12 | 福建安井食品股份有限公司 | Processing method of extraction recombinant low-value fish protein |
| CN103792153A (en) * | 2014-02-25 | 2014-05-14 | 山东东阿阿胶股份有限公司 | Method for quantitatively detecting hardness of donkey-hide gelatin cakes |
Non-Patent Citations (3)
| Title |
|---|
| 孙承锋 等: "响应面法研究测试条件对熏煮火腿质构特性值的影响", 《食品工业》 * |
| 肖璐 等: "ＲSM 分析测试条件对蓝莓 TPA 质构参数的影响", 《烟台大学学报( 自然科学与工程版)》 * |
| 肖璐 等: "RSM法分析压缩程度与压缩速率对樱桃番茄TPA质构特性参数的影响", 《食 品 科 技》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109270229A (en) * | 2018-07-24 | 2019-01-25 | 广州粮将电子商务有限公司 | Rice assessment method |
| CN112034116A (en) * | 2020-07-31 | 2020-12-04 | 厦门超技仪器设备有限公司 | Method for measuring chewing texture of noodles by using texture analyzer to perform three-stage compression test |
| CN114791477A (en) * | 2021-01-25 | 2022-07-26 | 北京中医药大学 | Application of large honeyed pill texture sensory attribute detection method in quality control |
| CN112946209A (en) * | 2021-02-03 | 2021-06-11 | 太原理工大学 | Non-contact detection tracking method and detection system for walnut powder freshness |
| CN112946209B (en) * | 2021-02-03 | 2023-01-03 | 太原理工大学 | Non-contact detection tracking method and detection system for walnut powder freshness |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104792948A (en) | Pearl rice ball texture testing method based on response surface method | |
| CN101871767B (en) | System and method for detecting form and position tolerance of components | |
| JP2012531947A5 (en) | ||
| KR20180048449A (en) | Method and Apparatus for Evaluating Cooking Quality | |
| WO2010084302A3 (en) | Method for optimising a measurement cycle of a contacting coordinate positioning apparatus | |
| US20150177315A1 (en) | Dynamically determining measurement uncertainty (mu) of measurement devices | |
| CN104280616A (en) | Silicon wafer resistivity measurement device and method | |
| CN106197745A (en) | Clinical thermometer and measuring method thereof | |
| CN110231302A (en) | A kind of method of the odd sub- seed crude fat content of quick measurement | |
| CN105527596B (en) | A kind of wafer acceptance testing board pressurization calibration method | |
| CN102507501B (en) | Special protein testing method and special protein testing device | |
| CN203203560U (en) | Automatic measuring device for weight and size of crystal | |
| CN114441469B (en) | Calibration method and device of moisture meter and computer equipment | |
| CN110007087B (en) | Blood glucose measuring method based on rechargeable glucometer | |
| CN104819795B (en) | Barkhausen stress detection method reducing temperature influence | |
| JP2007078435A5 (en) | ||
| CN105372139A (en) | Method for measuring dry matter content of sweet potato rapidly | |
| 洪长桥 et al. | Estimation of CaCO 3 content in coastal soil of North Jiangsu with reflectance spectroscopy | |
| CN102125322A (en) | Optimized manual measurement method based on regression equation | |
| CN202648591U (en) | Large-size axle diameter measuring scale | |
| CN105136704B (en) | A kind of method of quick measure brewer's yeast milk dry matter content | |
| CN204788112U (en) | A device for detecting thin hole of high accuracy size | |
| CN110514796A (en) | A kind of sample collection detection method and device based on experience curve | |
| CN109991367A (en) | Soy sauce physical and chemical composition detection method, device, medium and equipment based on electronic tongues | |
| CN211784854U (en) | Bending resistance measuring device for hand-held dry thin straight-strip-shaped food |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150722 |