CN104020132A - Quick detection method and device for content of aspartame in diet coke - Google Patents
Quick detection method and device for content of aspartame in diet coke Download PDFInfo
- Publication number
- CN104020132A CN104020132A CN201410251189.1A CN201410251189A CN104020132A CN 104020132 A CN104020132 A CN 104020132A CN 201410251189 A CN201410251189 A CN 201410251189A CN 104020132 A CN104020132 A CN 104020132A
- Authority
- CN
- China
- Prior art keywords
- sugar
- free
- aspartame
- content
- laughable
- 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 Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a quick detection method for content of aspartame in diet coke. The quick detection method comprises the following steps: firstly collecting representative diet coke samples; subsequently analyzing and processing to build a calibration model of the content of the aspartame in the diet coke; finally detecting the content of the aspartame in the diet coke to be detected, processing the content of the aspartame and then inputting the content of the aspartame into the calibration model to quickly obtain the content of the aspartame in the diet coke to be detected. The quick detection method for the content of the aspartame in the diet coke is free of sample pretreatment, quick and real-time in detection, simple and convenient in operation processes, and low in time consumption, the working efficiency is effectively improved, and the manual labor strength and production cost are reduced.
Description
Technical field
The present invention relates to food technology field, be specially method for quick and the device of Aspartame content in a kind of sugar-free cola.
Background technology
Aspartame is a kind of artificial sweetener of non-carbohydrate class, and its sweet taste is 200 times of general sucrose.At present, be there is to very large dispute in the security of Aspartame in the world, there is scientist to think that Aspartame can cause great harm to human body, and sugar-free cola is to replace sugar to add in cola drink using Aspartame as sweetener, because Aspartame sweet taste is high and heat is low, make sugar-free laughable standby welcomed by the people.For protection health, eliminate the potential hazard of Aspartame to human body, be necessary the Aspartame content in sugar-free cola to monitor, the content of Aspartame is controlled in safe range guaranteeing.
At present, in food, the detection method of Aspartame mainly contains high performance liquid chromatography, vapor-phase chromatography, high performance capillary electrophoresis, titrimetry and square wave voltammetry etc.; Yet there is loaded down with trivial details, the consuming time length of operating process, high in cost of production shortcoming in above-mentioned detection method, can not realize field quick detection, inefficiency, and hand labor intensity is large.
Summary of the invention
Technical matters solved by the invention is to provide method for quick and the device of Aspartame content in a kind of sugar-free cola, to solve the shortcoming in above-mentioned background technology.
Technical matters solved by the invention realizes by the following technical solutions:
The method for quick of Aspartame content in a kind of sugar-free cola, first collect the laughable sample of representative sugar-free, then by analyzing and processing, set up the calibration model of Aspartame content in sugar-free cola, finally the Aspartame content detection of sugar-free cola to be measured is inputted in calibration model after treatment, the Aspartame content that can obtain fast sugar-free cola to be measured, concrete steps are as follows:
1) collect the representative laughable sample of sugar-free of different manufacturers and different production time;
2) acquisition step 1) in the near infrared spectrum of the laughable sample of sugar-free collected, adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of the laughable sample spectrum of sugar-free, and the laughable sample spectrum of the sugar-free after denoising is carried out to differential processing, obtain the set of the laughable sample light spectrum signal of sugar-free;
3) determination step 1) in Aspartame real content in the laughable sample of sugar-free collected, obtain the laughable sample Aspartame of sugar-free real content value set;
4) to step 2) set of the laughable sample light spectrum signal of the middle sugar-free obtaining, employing is removed the useless wavelength variable in the laughable sample light spectrum signal of sugar-free without information variable null method, recycle the heavy weighted method of competitive self-adaptation and obtain the characteristic wavelength of Aspartame in the laughable sample light spectrum signal of sugar-free, and extract the spectral value of Aspartame characteristic wavelength in the laughable sample light spectrum signal of sugar-free, obtain the set of sample Aspartame characteristic wavelength spectral value;
5) application particle group optimizing-least square method supporting vector machine method is carried out the sample Aspartame characteristic wavelength spectral value obtaining in step 4) and the real content value of Aspartame in step 3) associated, and then sets up the calibration model of Aspartame content in sugar-free cola;
6) gather the near infrared spectrum of sugar-free cola to be measured, adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of the laughable spectrum of sugar-free to be measured, and the laughable spectrum of the sugar-free to be measured after denoising is carried out to differential processing, obtain the laughable spectral signal of sugar-free to be measured;
7) to the laughable spectral signal of the sugar-free to be measured obtaining in step 6), extract the spectral value of Aspartame characteristic wavelength, obtain the spectral value of the laughable Aspartame characteristic wavelength of sugar-free to be measured;
8) spectral value of the laughable Aspartame characteristic wavelength of sugar-free to be measured step 7) being obtained inputs in the calibration model that step 5) sets up, and obtains the Aspartame content of sugar-free cola to be measured.
In the present invention, in described step 3), the Aspartame real content in the laughable sample of the sugar-free of collecting in step 1) is measured and adopted national standard method GB/T 22254-2008.
The device for fast detecting of Aspartame content in a kind of sugar-free cola, method for quick based on Aspartame content in above-mentioned sugar-free cola, it comprises data storage device, CCD spectrometer, optical path switcher, reflection collimation lens, transmission collimation lens, optical filter, objective table, catoptron, beam splitter and light source; Wherein, data storage device is connected with CCD spectrometer, and CCD spectrometer is connected with optical path switcher, and optical path switcher is connected with transmission collimation lens with reflection collimation lens respectively; And be provided with optical filter at reflection collimation lens front end, and transmission collimation lens front end is provided with objective table, and sample to be tested is placed on objective table; In addition, light source is arranged on to the front end of beam splitter, catoptron is arranged on a side of beam splitter, and beam splitter is positioned at the front end of objective table, and catoptron is positioned at the front end of optical filter.
In the present invention, data storage device is storer, is convenient to mobile carrying.
In the present invention, data storage device is computing machine, is convenient to realize detection online data and uploads.
In the present invention, optical filter is neutral density filter, and its minimizing ability to various different wave length light is equal, uniform, only plays the effect that weakens light, and can not produce any impact to the color of the original, is convenient to reflect collimation lens imaging.
In the present invention, optical path switcher is connected with transmission collimation lens with reflection collimation lens respectively by optical fiber.
In the present invention, CCD spectrometer is connected with optical path switcher by optical fiber.
In the present invention, during detection, first sample to be tested is placed on objective table, then adjusts optical path switcher, open light source simultaneously, the light beam that light source produces is after beam splitter, and half light beam is reflected, and becomes folded light beam, and half light beam is transmitted, and becomes transmitted light beam; Folded light beam is reflected after mirror reflection, through optical filter, enters reflection collimation lens, enters optical path switcher and by CCD spectrometer, is gathered the near infrared spectrum of folded light beam, and be kept in data storage device by optical fiber; Again adjust optical path switcher, transmission collimation lens is connected with optical path switcher, transmitted light beam is irradiated to sample to be tested, the light that sees through sample to be tested enters transmission collimation lens, through optical fiber, enter optical path switcher and gather the near infrared spectrum of sample to be tested by CCD spectrometer 7, and be kept in data storage device; Data storage device contrasts both data values, can obtain fast the Aspartame content of sample to be tested.
Beneficial effect: the present invention has advantages of without sample pretreatment, detects in real time fast, and operating process is easy, consuming time low, has effectively improved work efficiency, has reduced hand labor intensity and production cost simultaneously.
Accompanying drawing explanation
Fig. 1 is the structural representation of preferred embodiment of the present invention.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach object and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
Referring to the device for fast detecting of Aspartame content in a kind of sugar-free cola of Fig. 1, comprise catoptron 1, neutral density filter 2, reflection collimation lens 3, optical fiber 4, optical path switcher 5, optical fiber 6, CCD spectrometer 7, computing machine 8, optical fiber 9, transmission collimation lens 10, objective table 11, sample to be tested 12, transmitted light beam 13, beam splitter 14, light beam 15, light source 16 and folded light beam 17.
Before carrying out test experience, first gather the near infrared spectrum of the laughable sample of representative sugar-free of 260 different manufacturers and different production times, and the near infrared spectrum of 260 samples is processed: 1) adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of sample spectrum, and the sample spectrum after denoising is carried out to differential processing; 2) according to national standard method GB/T 22254-2008, measure the Aspartame real content in the laughable sample of 260 sugar-frees; 3) to the sample spectrum after differential processing, employing is removed useless wavelength variable in sample spectrum without information variable null method, recycle the heavy weighted method of competitive self-adaptation and obtain the characteristic wavelength of sample Aspartame, and extract the spectral value of Aspartame characteristic wavelength in sample spectrum; 4) application particle group optimizing-least square method supporting vector machine method is carried out associated by the spectral value of Aspartame characteristic wavelength in sample spectrum with the real content value of Aspartame, set up the calibration model of Aspartame content in sugar-free cola, and input in computing machine 8.
Then sample to be tested 12 is placed on objective table 11, adjusts optical path switcher 5, optical fiber 4 is communicated with optical fiber 6; Open light source 16, the light beam 15 that light source 16 produces is after beam splitter 14 simultaneously, and 50% light beam 15 is reflected, and the light beam 15 that becomes folded light beam 17,50% is transmitted, and becomes transmitted light beam 13; Folded light beam 17 is reflected after mirror 1 reflection, sees through neutral density filter 2 and enters reflection collimation lens 3, then pass through optical fiber 4, optical path switcher 5 and optical fiber 6, gathers the near infrared spectrum of folded light beam 17, and be kept at 8 li, computing machine by CCD spectrometer 7; Again adjust optical path switcher 5, optical fiber 9 is communicated with optical fiber 6, transmitted light beam 13 is irradiated to sample to be tested 12, the light that sees through sample to be tested 12 enters transmission collimation lens 10, again through optical fiber 9, optical path switcher 5 and optical fiber 6, by CCD spectrometer 7, gather the near infrared spectrum of sample to be tested 12, and be kept at 8 li, computing machine.
In the present embodiment, for eliminating the impact of light source 16 fluctuations, the near infrared spectrum by the near infrared spectrum of sample to be tested 12 divided by folded light beam 17, as the final near infrared spectrum of sample to be tested 12.
Near infrared spectrum to sample to be tested 12 is processed: 1) adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of sample spectrum, and the sample spectrum after denoising is carried out to differential processing; 2), to the sample spectrum after differential processing, extract the spectral value of Aspartame characteristic wavelength; 3) spectral value of Aspartame characteristic wavelength is inputed in interior the set up calibration model of computing machine 8, can obtain the Aspartame content of sample to be tested 12.
More than show and described ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and instructions, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (7)
1. the method for quick of Aspartame content in a sugar-free cola, it is characterized in that, first collect the laughable sample of representative sugar-free, then by analyzing and processing, set up the calibration model of Aspartame content in sugar-free cola, finally the Aspartame content detection of sugar-free cola to be measured is inputted in calibration model after treatment, the Aspartame content that can obtain fast sugar-free cola to be measured, concrete steps are as follows:
1) collect the representative laughable sample of sugar-free of different manufacturers and different production time;
2) acquisition step 1) in the near infrared spectrum of the laughable sample of sugar-free collected, adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of the laughable sample spectrum of sugar-free, and the laughable sample spectrum of the sugar-free after denoising is carried out to differential processing, obtain the set of the laughable sample light spectrum signal of sugar-free;
3) determination step 1) in Aspartame real content in the laughable sample of sugar-free collected, obtain the laughable sample Aspartame of sugar-free real content value set;
4) to step 2) set of the laughable sample light spectrum signal of the middle sugar-free obtaining, employing is removed the useless wavelength variable in the laughable sample light spectrum signal of sugar-free without information variable null method, recycle the heavy weighted method of competitive self-adaptation and obtain the characteristic wavelength of Aspartame in the laughable sample light spectrum signal of sugar-free, and extract the spectral value of Aspartame characteristic wavelength in the laughable sample light spectrum signal of sugar-free, obtain the set of sample Aspartame characteristic wavelength spectral value;
5) application particle group optimizing-least square method supporting vector machine method is carried out the sample Aspartame characteristic wavelength spectral value obtaining in step 4) and the real content value of Aspartame in step 3) associated, and then sets up the calibration model of Aspartame content in sugar-free cola;
6) gather the near infrared spectrum of sugar-free cola to be measured, adopt Adaptive Fuzzy Neural-network to eliminate the noise signal of the laughable spectrum of sugar-free to be measured, and the laughable spectrum of the sugar-free to be measured after denoising is carried out to differential processing, obtain the laughable spectral signal of sugar-free to be measured;
7) to the laughable spectral signal of the sugar-free to be measured obtaining in step 6), extract the spectral value of Aspartame characteristic wavelength, obtain the spectral value of the laughable Aspartame characteristic wavelength of sugar-free to be measured;
8) spectral value of the laughable Aspartame characteristic wavelength of sugar-free to be measured step 7) being obtained inputs in the calibration model that step 5) sets up, and obtains the Aspartame content of sugar-free cola to be measured.
2. a device for fast detecting for Aspartame content in sugar-free cola, comprises data storage device, CCD spectrometer, optical path switcher, reflection collimation lens, transmission collimation lens, optical filter, objective table, catoptron, beam splitter and light source; It is characterized in that, data storage device is connected with CCD spectrometer, and CCD spectrometer is connected with optical path switcher, and optical path switcher is connected with transmission collimation lens with reflection collimation lens respectively; And be provided with optical filter at reflection collimation lens front end, and transmission collimation lens front end is provided with objective table, and sample to be tested is placed on objective table; In addition, light source is arranged on to the front end of beam splitter, catoptron is arranged on a side of beam splitter, and beam splitter is positioned at the front end of objective table, and catoptron is positioned at the front end of optical filter.
3. the device for fast detecting of Aspartame content in a kind of sugar-free cola according to claim 2, is characterized in that, data storage device is storer.
4. the device for fast detecting of Aspartame content in a kind of sugar-free cola according to claim 2, is characterized in that, data storage device is computing machine.
5. the device for fast detecting of Aspartame content in a kind of sugar-free cola according to claim 2, is characterized in that, optical filter is neutral density filter.
6. the device for fast detecting of Aspartame content in a kind of sugar-free cola according to claim 2, is characterized in that, optical path switcher is connected with transmission collimation lens with reflection collimation lens respectively by optical fiber.
7. the device for fast detecting of Aspartame content in a kind of sugar-free cola according to claim 2, is characterized in that, CCD spectrometer is connected with optical path switcher by optical fiber.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410251189.1A CN104020132A (en) | 2014-06-09 | 2014-06-09 | Quick detection method and device for content of aspartame in diet coke |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410251189.1A CN104020132A (en) | 2014-06-09 | 2014-06-09 | Quick detection method and device for content of aspartame in diet coke |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104020132A true CN104020132A (en) | 2014-09-03 |
Family
ID=51437010
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410251189.1A Pending CN104020132A (en) | 2014-06-09 | 2014-06-09 | Quick detection method and device for content of aspartame in diet coke |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104020132A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105044021A (en) * | 2015-07-08 | 2015-11-11 | 湖南环境生物职业技术学院 | Mid-autumn crispy jujube sugar degree nondestructive test method |
| CN105866060A (en) * | 2016-05-01 | 2016-08-17 | 王会 | Method for quickly measuring content of thickener in milk beverage through near-infrared spectrometry |
| CN107192690A (en) * | 2017-05-19 | 2017-09-22 | 重庆大学 | Near infrared spectrum Noninvasive Blood Glucose Detection Methods and its detection network model training method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5533509A (en) * | 1993-08-12 | 1996-07-09 | Kurashiki Boseki Kabushiki Kaisha | Method and apparatus for non-invasive measurement of blood sugar level |
| CN1400460A (en) * | 2002-08-15 | 2003-03-05 | 上海交通大学 | Infrared three-point detection device of greasy dirt content in gas |
-
2014
- 2014-06-09 CN CN201410251189.1A patent/CN104020132A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5533509A (en) * | 1993-08-12 | 1996-07-09 | Kurashiki Boseki Kabushiki Kaisha | Method and apparatus for non-invasive measurement of blood sugar level |
| CN1400460A (en) * | 2002-08-15 | 2003-03-05 | 上海交通大学 | Infrared three-point detection device of greasy dirt content in gas |
Non-Patent Citations (5)
| Title |
|---|
| 伍世虔 等编著: "《动态模糊神经网络——设计与应用》", 31 January 2008, 清华大学出版社 * |
| 刘君华 主编: "《智能传感器系统》", 31 May 2010, 西安电子科技大学出版社 * |
| 唐志国: "近红外（NIR）光谱法测定果冻中甜蜜素的研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 孙通 等: "可见／近红外漫透射光谱结合ＣＡＲＳ变量优选预测脐橙可溶性固形物", 《光谱学与光谱分析》 * |
| 赵杰文 等编著: "《食品、农产品检测中的数据处理和分析方法》", 31 May 2012, 科学出版社 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105044021A (en) * | 2015-07-08 | 2015-11-11 | 湖南环境生物职业技术学院 | Mid-autumn crispy jujube sugar degree nondestructive test method |
| CN105044021B (en) * | 2015-07-08 | 2018-07-17 | 湖南环境生物职业技术学院 | A kind of mid-autumn crisp jujube pol lossless detection method |
| CN105866060A (en) * | 2016-05-01 | 2016-08-17 | 王会 | Method for quickly measuring content of thickener in milk beverage through near-infrared spectrometry |
| CN107192690A (en) * | 2017-05-19 | 2017-09-22 | 重庆大学 | Near infrared spectrum Noninvasive Blood Glucose Detection Methods and its detection network model training method |
| CN107192690B (en) * | 2017-05-19 | 2019-04-23 | 重庆大学 | Near infrared spectrum Noninvasive Blood Glucose Detection Methods and its detection network model training method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103926274B (en) | Infrared thermal wave radar imaging nondestructive testing method for defects of carbon fiber reinforced plastic (CFRP) plywood | |
| CN103822879B (en) | A kind of Fructus actinidiae chinensis based on high light spectrum image-forming technology expand fruit lossless detection method | |
| CN102631198B (en) | Dynamic spectrum data processing method based on difference value extraction | |
| CN103018179A (en) | Device and method for near-infrared polarization detection of crop water stress | |
| CN101949686A (en) | Online nondestructive testing (NDT) method and device for comprehensive internal/external qualities of fruits | |
| CN103837492B (en) | A kind of Kiwi berry based on near-infrared spectrum technique expand fruit lossless detection method | |
| CN104458766B (en) | A kind of cloth surface flaw detection method based on structural texture method | |
| CN108956545B (en) | Fruit internal quality nondestructive testing model establishing method and system | |
| CN102175775A (en) | Food quality testing system and method based on laser ultrasound erosion mechanism | |
| CN103439270A (en) | Device and method for detecting cold damage of peach fruits based on hyperspectral images | |
| CN104020132A (en) | Quick detection method and device for content of aspartame in diet coke | |
| CN105004722A (en) | Method for rapidly detecting maturity of tobacco leaves | |
| CN103728132A (en) | Reduction box transmission efficiency/fault detection system and method | |
| CN105092579A (en) | Mango quality non-destructive testing device | |
| CN203894165U (en) | Collinear double-pulse laser-induced breakdown spectroscopy (LIBS) technology-based device for rapidly detecting benzopyrene content in edible oil | |
| CN105823728A (en) | Femtosecond laser high-speed digital microscopic imaging method and apparatus based on coherent receiver | |
| CN106706320B (en) | A kind of Bearing Initial Fault Diagnosis method based on feedforward control accidental resonance | |
| CN101907551A (en) | Ultrasonic detection device for Chinese medicament extract concentrated solution density and application | |
| CN107831157A (en) | Based on the Raman spectrum fluorescence background subtraction method except spectrum | |
| Senni et al. | Multispectral laser imaging for advanced food analysis | |
| CN203894158U (en) | Quick detection device for content of aspartame in sugar-free coke | |
| CN203287313U (en) | Rapid pesticide residue detection device | |
| CN102735340B (en) | Fruit color grading method based on compressive sensing | |
| CN204630927U (en) | The navel orange place of production, south, a kind of Jiangxi device for quickly identifying | |
| CN106442396A (en) | Rapidly detecting method for bagasse saccharose content based on near infrared technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into 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: 20140903 |