CN101487833B - Method for recognizing natural apple essence - Google Patents
Method for recognizing natural apple essence Download PDFInfo
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- CN101487833B CN101487833B CN2009100788305A CN200910078830A CN101487833B CN 101487833 B CN101487833 B CN 101487833B CN 2009100788305 A CN2009100788305 A CN 2009100788305A CN 200910078830 A CN200910078830 A CN 200910078830A CN 101487833 B CN101487833 B CN 101487833B
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- XINCECQTMHSORG-UHFFFAOYSA-N Isoamyl isovalerate Chemical compound CC(C)CCOC(=O)CC(C)C XINCECQTMHSORG-UHFFFAOYSA-N 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000002347 injection Methods 0.000 claims description 17
- 239000007924 injection Substances 0.000 claims description 17
- 230000003068 static effect Effects 0.000 claims description 15
- 238000013019 agitation Methods 0.000 claims description 7
- 239000000796 flavoring agent Substances 0.000 abstract description 7
- 239000003960 organic solvent Substances 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 235000019634 flavors Nutrition 0.000 abstract 5
- 238000000513 principal component analysis Methods 0.000 description 12
- 239000000686 essence Substances 0.000 description 7
- 238000009825 accumulation Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000002474 experimental method Methods 0.000 description 5
- 235000019568 aromas Nutrition 0.000 description 4
- 238000002203 pretreatment Methods 0.000 description 4
- 239000003153 chemical reaction reagent Substances 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 2
- 235000013355 food flavoring agent Nutrition 0.000 description 2
- 239000003205 fragrance Substances 0.000 description 2
- 238000004817 gas chromatography Methods 0.000 description 2
- 230000035943 smell Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 239000002671 adjuvant Substances 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 235000015203 fruit juice Nutrition 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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- Sampling And Sample Adjustment (AREA)
Abstract
本发明公开了一种识别天然苹果香精的方法。本发明识别天然苹果香精的方法，是利用传感器型电子鼻，实现对天然苹果香精的识别。采取本发明方法，样品前处理简单；整个实验过程没有利用有机溶剂，无污染；检测速度快，识别准确率高；本发明方法步骤简单，操作方便，便于大规模推广应用。本发明有助于完善苹果香精的检测项目，有助于掌握不同品质苹果香精的变化情况，对于天然苹果香精的生产和销售领域具有重大的经济价值。The invention discloses a method for identifying natural apple essence. The method for identifying the natural apple flavor of the present invention uses a sensor-type electronic nose to realize the identification of the natural apple flavor. With the method of the invention, sample pretreatment is simple; no organic solvent is used in the whole experimental process, and there is no pollution; the detection speed is fast and the recognition accuracy is high; the method of the invention has simple steps, convenient operation, and is convenient for large-scale popularization and application. The invention helps to perfect the detection items of the apple flavor, helps to grasp the variation of apple flavors of different qualities, and has great economic value in the field of production and sales of natural apple flavors.
Description
Technical field
The present invention relates to a kind of method of discerning natural apple essence.
Background technology
Natural apple essence is to obtain in the apple deep-processing process, and owing to deriving from nature, containing hundreds of kind fragrance component, its strong and distinctive apple delicate fragrance is that any compound essence does not all replace.Flavoring apple essence is the very rare adjuvants of industry such as food, cosmetic, and especially wherein distinctive organic substance is a chemical industry material very in short supply, so flavoring apple essence more and more is subjected to the favor of international market.In recent years, natural apple essence outlet increased year by year, and requirement of client is also more and more stricter, and the essence content is being understood under the not enough condition, needed during sale send the client sample earlier, and detect and confirm by the client, be very passive.In today that essence turnout and export volume enlarge day by day, how to improve the test item of flavoring apple essence and the situation of change of grasping different times and different cultivars flavoring apple essence, seeming becomes more and more important.
At present the quality of essence and flavoring agent is mainly by some physical indexs such as refraction index, relative density, acidity value, fugitive constituent total amounts and manually smell fragrant these two links and control.The former can only reflect some characteristic of essence and flavoring agent on the whole; And the latter with the nose sense as identification facility, be subjected to the influence of factors such as subjective consciousness, environment and individual difference, can not accurately reflect the inherent quality and the fluctuation thereof of essence.And above-mentioned operated in accordance with conventional methods complexity, the analytic process required time is long.
Electronic Nose (Electronic Nose), claim artificial olfactory analysis system (Artificial Olfactory) again, be analysis, identification and the detection technique of a kind of novelty of growing up the nineties in 20th century, the artificial intelligence system of forming by sensor-based system and automatic mode recognition system of discerning at various smells, its the similar people's of principle of work nose is so be referred to as " Electronic Nose ".Electronic Nose has merged the current new results in active fields such as materialogy, electronic signal, applied mathematics, sensing and computer science the most, once producing great attention and the common attention that just has been subjected to external scientific circles.
Summary of the invention
The invention provides a kind of method of discerning the natural apple essence aroma quality.
The method of identification natural apple essence aroma quality provided by the invention is to treat the right flavoring apple essence of observation with the sensor type Electronic Nose to discern.
In the described method, the head space injection parameters of Electronic Nose can be set to: volume injected 200-300 μ l, injection speed 200-300 μ l/s, 60-80 ℃ of entry needle temperature.The head space injection parameters of Electronic Nose specifically can be set to: volume injected 200-250 μ l, injection speed 200-250 μ l/s, 60-70 ℃ of entry needle temperature.The head space injection parameters of Electronic Nose specifically also can be set to: volume injected 250-300 μ l, injection speed 250-300 μ l/s, 70-80 ℃ of entry needle temperature.
In the described method, the static headspace gas sample size of natural apple essence to be measured can be 100 μ l-1ml, as can be 100 μ l-250 μ l or 250 μ l-1ml.
In the described method, the head space of Electronic Nose produces parameter and can be set to: it is 25-80 ℃ that head space produces temperature, head space generation time 100-200s, and the sample agitation speed is 100-300rpm.Described head space produces temperature and specifically can be 60-80 ℃.
In the described method, the head space of Electronic Nose produces parameter and specifically can be set to: it is 60-70 ℃ that head space produces temperature, head space generation time 100-150s, and the sample agitation speed is 100-200rpm.The head space of Electronic Nose produces parameter and specifically also can be set to: it is 70-80 ℃ that head space produces temperature, head space generation time 150-200s, and the sample agitation speed is 200-300rpm.
The present invention is applied to the sensor type Electronic Nose identification of natural apple essence first, and by a large amount of tests, has obtained best parameter setting scope, and when adopting the parameter in this scope, discrimination index is very high.Take the inventive method, sample pre-treatments is simple; Whole experiment is not utilized organic solvent, and is pollution-free; Detection speed was fast, and the corresponding steps of static headspace gas generation step required time and gas chromatography is approaching, but the analysis recognition time of each sample only needs about 3 minutes, much smaller than 0.5-1 hour of gas chromatography; The recognition accuracy height; The inventive method step is simple, and is easy to operate, is convenient to large-scale promotion application.The present invention helps to improve the test item of flavoring apple essence, helps to grasp the situation of change of different quality flavoring apple essences, has great economic worth for the production and selling field of natural apple essence.
Embodiment
Following embodiment is convenient to understand better the present invention, but does not limit the present invention.Experimental technique among the following embodiment if no special instructions, is conventional method.Reagent among the following embodiment if no special instructions, is can buy from routine biochemistry reagent and obtains.
Used sensor type Electronic Nose is available from French Alpha MOS instrument company in following examples, and model is FOX4000.Natural apple essence sample used in following examples is as follows:
The natural apple essence sample standard deviation is purchased in northern An Deli fruit juice company limited by shares, has the sample of 36 different production batch of three aroma quality grades.Wherein the natural apple essence of each grade comprises the sample of 12 different production batch.
The recognition capability of Electronic Nose to sample represented in following discrimination index (Discrimination Index is called for short DI), calculated by following formula:
DI=[1-(the gross space areas of the summation of each cohort spatial area/all cohorts of containing)] * 100.
In principal component analysis (PCA) (PCA) collection of illustrative plates of sample, if when not superposeing between the cohort, DI be on the occasion of, when between the cohort stack being arranged, DI is a negative value, shows between the sample and can not distinguish fully.The maximal value of DI is 100, and DI just shows effective differentiation between 80-100, and the DI value is big more, and it is good more to distinguish.
The identification of embodiment 1, natural apple essence
Each sample detects respectively, and is specific as follows:
1 μ l natural apple essence is put into sample bottle (the sample bottle specification is 10ml), be positioned over the static headspace gas generating means, it is 25 ℃ that head space produces temperature, and the head space generation time is 100s, and the sample agitation speed is 100rpm.Extract static headspace gas with the Electronic Nose sample introduction needle then, be expelled in the Electronic Nose injection port, the static headspace gas sample size is 100 μ l, the static headspace gas injection parameters: volume injected 200 μ l, injection speed 200 μ l/s, 60 ℃ of entry needle temperature.
Each sample carries out revision test 6 times.
Through principal component analysis (PCA) (PCA) software that Electronic Nose carries the data of being obtained are analyzed.Analysis result shows: the accumulation variance contribution ratio of first principal component (PC1) and Second principal component, (PC2) is 92.342%, 2.587%, is 94 by the two-dimensional map discrimination index (DI) that PC1 (X-axis)-PC2 (Y-axis) is constituted.Wherein the accumulation variance contribution ratio sum of PC1 and PC2 is 94.929%, and greater than 85%, this explanation PC1 and PC2 have comprised the very big quantity of information of sample, can reflect the Global Information of sample.Discrimination index (DI) is 94, and the sample of this explanation different brackets can well be distinguished, and recognition result conforms to actual, and recognition result is correct.In 6 repeated experiments, the discrimination index unanimity, repeatability is fabulous.Adopt the sample of method identification different aromas quality of the present invention, it is short to analyze recognition time, and sample pre-treatments is simple, does not also utilize organic solvent in the experimentation.
The identification of embodiment 2, natural apple essence
Each sample detects respectively, and is specific as follows:
1 μ l natural apple essence is put into sample bottle (the sample bottle specification is 10ml), be positioned over the static headspace gas generating means, it is 70 ℃ that head space produces temperature, and the head space generation time is 150s, and the sample agitation speed is 200rpm.Extract static headspace gas with the Electronic Nose sample introduction needle then, be expelled in the Electronic Nose injection port, the static headspace gas sample size is 250 μ l, the static headspace gas injection parameters: volume injected 250 μ l, injection speed 250 μ l/s, 70 ℃ of entry needle temperature.
Each sample carries out revision test 6 times.
Through principal component analysis (PCA) (PCA) software that Electronic Nose carries the data of being obtained are analyzed.Analysis result shows: the accumulation variance contribution ratio of first principal component (PC1) and Second principal component, (PC2) is 97.382%, 2.521%, is 98 by the two-dimensional map discrimination index (DI) that PC1 (X-axis)-PC2 (Y-axis) is constituted.Wherein the accumulation variance contribution ratio sum of PC1 and PC2 is 99.903%, and greater than 85%, this explanation PC1 and PC2 have comprised the very big quantity of information of sample, can reflect the Global Information of sample.Discrimination index (DI) is 98, and the sample of this explanation different brackets can well be distinguished, and recognition result conforms to actual, and recognition result is correct.In 6 repeated experiments, the discrimination index unanimity, repeatability is fabulous.Adopt the sample of method identification different aromas quality of the present invention, it is short to analyze recognition time, and sample pre-treatments is simple, does not also utilize organic solvent in the experimentation.
The identification of embodiment 3, natural apple essence
Each sample detects respectively, and is specific as follows:
1 μ l natural apple essence is put into sample bottle (the sample bottle specification is 10ml), be positioned over the static headspace gas generating means, it is 80 ℃ that head space produces temperature, and the head space generation time is 200s, and the sample agitation speed is 300rpm.Extract static headspace gas with the Electronic Nose sample introduction needle then, be expelled in the Electronic Nose injection port, the static headspace gas sample size is 1ml, the static headspace gas injection parameters: volume injected 300 μ l, injection speed 300 μ l/s, 80 ℃ of entry needle temperature.
Each sample carries out revision test 6 times.
Through principal component analysis (PCA) (PCA) software that Electronic Nose carries the data of being obtained are analyzed.Analysis result shows: the accumulation variance contribution ratio of first principal component (PC1) and Second principal component, (PC2) is 90.196%, 3.343%, is 92 by the two-dimensional map discrimination index (DI) that PC1 (X-axis)-PC2 (Y-axis) is constituted.Wherein the accumulation variance contribution ratio sum of PC1 and PC2 is 93.539%, and greater than 85%, this explanation PC1 and PC2 have comprised the very big quantity of information of sample, can reflect the Global Information of sample.Discrimination index (DI) is 92, and the sample of this explanation different aromas quality can well be distinguished, and recognition result conforms to actual, and recognition result is correct.In 6 repeated experiments, the discrimination index unanimity, repeatability is fabulous.Adopt the sample of method identification different aromas quality of the present invention, it is short to analyze recognition time, and sample pre-treatments is simple, does not also utilize organic solvent in the experimentation.
Claims (2)
1. a method of discerning natural apple essence is to treat the right flavoring apple essence of observation with the sensor type Electronic Nose to discern;
The head space injection parameters of Electronic Nose is: volume injected 200-300 μ l, injection speed 200-300 μ l/s, 60-80 ℃ of entry needle temperature;
The head space of Electronic Nose produces parameter: head space produces 25-80 ℃ of temperature, head space generation time 100-200s, and the sample agitation speed is 100-300rpm;
The static headspace gas sample size of natural apple essence to be measured is 100 μ l-1ml.
2. the method for claim 1 is characterized in that: in the described method, it is 60-80 ℃ that head space produces temperature.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100788305A CN101487833B (en) | 2009-03-03 | 2009-03-03 | Method for recognizing natural apple essence |
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| CN2009100788305A CN101487833B (en) | 2009-03-03 | 2009-03-03 | Method for recognizing natural apple essence |
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| CN101487833A CN101487833A (en) | 2009-07-22 |
| CN101487833B true CN101487833B (en) | 2011-12-21 |
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| CN104897729A (en) * | 2015-06-04 | 2015-09-09 | 安徽农业大学 | Sorting method of storage time of melon slice tea by using electronic nose |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1381721A (en) * | 2002-06-04 | 2002-11-27 | 复旦大学 | Portable intelligent electronic nose and its preparing process |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1381721A (en) * | 2002-06-04 | 2002-11-27 | 复旦大学 | Portable intelligent electronic nose and its preparing process |
Non-Patent Citations (3)
| Title |
|---|
| 陈晓明.天然苹果香精香气质量综合评价模型的建立及电子鼻的应用研究.《中国农业大学硕士学位论文》.2006,1-70. * |
| 陈晓明等.电子鼻在天然苹果香精检测中的应用.《食品科学》.2007,第28卷(第3期),261页. * |
| 陈晓明等.电子鼻在食品工业中的应用研究进展.《传感器与微系统》.2006,第25卷(第4期), * |
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