CN108387548A - A method of sweetener is quickly detected based on infrared spectrum technology - Google Patents
A method of sweetener is quickly detected based on infrared spectrum technology Download PDFInfo
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- CN108387548A CN108387548A CN201810507227.3A CN201810507227A CN108387548A CN 108387548 A CN108387548 A CN 108387548A CN 201810507227 A CN201810507227 A CN 201810507227A CN 108387548 A CN108387548 A CN 108387548A
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- sweetener
- infrared spectrum
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- spectrum technology
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- 235000003599 food sweetener Nutrition 0.000 title claims abstract description 59
- 239000003765 sweetening agent Substances 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 22
- 238000005516 engineering process Methods 0.000 title claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims description 17
- 235000012907 honey Nutrition 0.000 claims description 14
- FTLYMKDSHNWQKD-UHFFFAOYSA-N (2,4,5-trichlorophenyl)boronic acid Chemical compound OB(O)C1=CC(Cl)=C(Cl)C=C1Cl FTLYMKDSHNWQKD-UHFFFAOYSA-N 0.000 claims description 13
- 239000004376 Sucralose Substances 0.000 claims description 13
- 229940085605 saccharin sodium Drugs 0.000 claims description 13
- 235000019408 sucralose Nutrition 0.000 claims description 13
- BAQAVOSOZGMPRM-QBMZZYIRSA-N sucralose Chemical compound O[C@@H]1[C@@H](O)[C@@H](Cl)[C@@H](CO)O[C@@H]1O[C@@]1(CCl)[C@@H](O)[C@H](O)[C@@H](CCl)O1 BAQAVOSOZGMPRM-QBMZZYIRSA-N 0.000 claims description 13
- WBZFUFAFFUEMEI-UHFFFAOYSA-M Acesulfame k Chemical compound [K+].CC1=CC(=O)[N-]S(=O)(=O)O1 WBZFUFAFFUEMEI-UHFFFAOYSA-M 0.000 claims description 12
- 108010011485 Aspartame Proteins 0.000 claims description 12
- 235000010358 acesulfame potassium Nutrition 0.000 claims description 12
- 229960004998 acesulfame potassium Drugs 0.000 claims description 12
- 239000000619 acesulfame-K Substances 0.000 claims description 12
- 239000000605 aspartame Substances 0.000 claims description 12
- 235000010357 aspartame Nutrition 0.000 claims description 12
- IAOZJIPTCAWIRG-QWRGUYRKSA-N aspartame Chemical compound OC(=O)C[C@H](N)C(=O)N[C@H](C(=O)OC)CC1=CC=CC=C1 IAOZJIPTCAWIRG-QWRGUYRKSA-N 0.000 claims description 12
- 229960003438 aspartame Drugs 0.000 claims description 12
- 238000010521 absorption reaction Methods 0.000 claims description 11
- 238000000513 principal component analysis Methods 0.000 claims description 11
- 238000004611 spectroscopical analysis Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 7
- 230000003595 spectral effect Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 abstract description 10
- 235000013305 food Nutrition 0.000 abstract description 6
- 238000009659 non-destructive testing Methods 0.000 abstract description 2
- 238000004445 quantitative analysis Methods 0.000 description 8
- 235000013373 food additive Nutrition 0.000 description 6
- 239000002778 food additive Substances 0.000 description 6
- 238000012545 processing Methods 0.000 description 4
- 238000009499 grossing Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- 239000004384 Neotame Substances 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000019412 neotame Nutrition 0.000 description 1
- HLIAVLHNDJUHFG-HOTGVXAUSA-N neotame Chemical compound CC(C)(C)CCN[C@@H](CC(O)=O)C(=O)N[C@H](C(=O)OC)CC1=CC=CC=C1 HLIAVLHNDJUHFG-HOTGVXAUSA-N 0.000 description 1
- 108010070257 neotame Proteins 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
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- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention belongs to technical field of food detection, relate generally to a kind of method quickly detecting sweetener based on infrared spectrum technology.The present invention relates to being combined with chemometrics method using infrared spectrum technology, levels of sweetener is detected, it is intended to which quick, non-destructive testing for sweetener in food provide new method.
Description
Technical field
The invention belongs to technical field of food detection, relate generally to one kind and quickly detecting sweetener based on infrared spectrum technology
Method.
Background technology
Quickly, food additives are as the important source material in food processing process, for modern food industry development speed
Reach indispensable degree.In recent years, not using according to regulations food additives causes food safety affair frequently to occur, people
The safety problem of food additives is increasingly paid attention to.Sweetener is as a kind of important additive, peace in food additives
Full problem gradually reveals.Food additives national Specification can add Sucralose, saccharin sodium, neotame etc. in food
Sweetener.Artificial synthesis edulcorant is as a kind of important food additives, and in sweetener, status is notable in the market, with people's
It lives closely bound up, the quality safety of artificial synthesis edulcorant is related to the physical health issues of consumer.
The usage amount of sweetener should meet demand for security first, and carrying out fast and accurately detection to the content of sweetener is
Realize the basic guarantee of this target.It is based primarily upon chemical analysis or Instrumental Analysis about the detection technique of sweetener at present,
Detection process needs complicated sample examination, needs expensive analytical instrument, and detection time is long, of high cost and destruction sample, leads
Cause detection efficiency relatively low.Therefore, a kind of fast and easy is worked out, efficient, at low cost, green non-pollution detection method seems outstanding
For necessity.Compared with conventional analytical techniques, infrared spectrum detection has the advantages such as efficient, quick, at low cost and environmentally protective.This
Application be combined with chemometrics method using infrared spectrum technology, detection levels of sweetener, it is intended to be sweetener it is quick,
Non-destructive testing provides new method.
Invention content
The object of the present invention is to be combined with chemometrics method using infrared spectrum technology, a kind of quickly inspection is developed
The method for surveying sweetener.
The method of the present invention is as follows：
A method of sweetener quickly being detected based on infrared spectrum technology, which is characterized in that this method includes following step
Suddenly：(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to difference
The sweetener sample of concentration carries out infrared spectrum analysis to sample, obtains ir data；(2) use principal component analysis and
Partial Least Squares combines and establishes sweetener infrared quantitative prediction model, includes sweetener characteristic information with principal component analysis screening
The corresponding wave-number range of absorption peak, original spectral data is then analyzed by partial least square model, according to obtaining result phase
Close coefficients R2Value further selects most suitable wave-number range；(3) optimal minimum two partially is obtained using preprocess method Optimized model
Multiply Quantitative Analysis Model.
The corresponding wave-number range of absorption peak comprising sweetener characteristic information is：Honey element 1022-1065cm-1,
1119-1258cm-1；Sucralose 1146-1196cm-1, 1277-1412cm-1；Saccharin sodium 1142-1157cm-1, 1204-
1211cm-1, 1246-1269cm-1, 1308-1327cm-1, 1358-1497cm-1；Acesulfame potassium 1065-1069cm-1, 1142-
1200cm-1, 1269-1428cm-1；Aspartame 1208-1497cm-1。
Described preferentially uses spectroscopic data the preprocess method that single order is led.
Description of the drawings
Fig. 1 is the techniqueflow chart of the present invention；
Fig. 2 is the original infrared spectrogram of various concentration honey element sample；
Fig. 3 is the principal component analysis load diagram of honey element sample.
Specific implementation mode
Specific embodiment further described below in conjunction with the accompanying drawings.
A method of sweetener quickly being detected based on infrared spectrum technology, which is characterized in that this method includes following step
Suddenly：(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to difference
The sweetener sample of concentration carries out infrared spectrum analysis to sample, obtains ir data；(2) use principal component analysis and
Partial Least Squares combines and establishes sweetener infrared quantitative prediction model, includes sweetener characteristic information with principal component analysis screening
The corresponding wave-number range of absorption peak, original spectral data is then analyzed by partial least square model, according to obtaining result phase
Close coefficients R2Value further selects most suitable wave-number range；(3) optimal minimum two partially is obtained using preprocess method Optimized model
Multiply Quantitative Analysis Model.
The corresponding wave-number range of absorption peak comprising sweetener characteristic information is：Honey element 1022-1065cm-1,
1119-1258cm-1；Sucralose 1146-1196cm-1, 1277-1412cm-1；Saccharin sodium 1142-1157cm-1, 1204-
1211cm-1, 1246-1269cm-1, 1308-1327cm-1, 1358-1497cm-1；Acesulfame potassium 1065-1069cm-1, 1142-
1200cm-1, 1269-1428cm-1；Aspartame 1208-1497cm-1。
Described preferentially uses spectroscopic data the preprocess method that single order is led.
Embodiment 1
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) use principal component analysis and Partial Least Squares to combine and establish sweetener infrared quantitative prediction model, with it is main at
The corresponding wave-number range of absorption peak for dividing Analysis and Screening to include sweetener characteristic information, is then analyzed by partial least square model
Original spectral data, according to obtaining result coefficient R2Value further selects most suitable wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
The preprocess method for first using single order to lead.
Embodiment 2
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) sweetener infrared quantitative prediction model is established using principal component analytical method, includes with principal component analysis screening
The corresponding wave-number range of absorption peak of sweetener characteristic information, according to obtaining result coefficient R2Further selection is most suitable for value
Wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
The preprocess method for first using single order to lead.
Embodiment 3
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) use principal component analysis and Partial Least Squares to combine and establish sweetener infrared quantitative prediction model, with it is main at
The corresponding wave-number range of absorption peak for dividing Analysis and Screening to include sweetener characteristic information, is then analyzed by partial least square model
Original spectral data, according to obtaining result coefficient R2Value further selects most suitable wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
First use the preprocess method of smoothing processing.
Embodiment 4
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) sweetener infrared quantitative prediction model is established using principal component analytical method, includes with principal component analysis screening
The corresponding wave-number range of absorption peak of sweetener characteristic information, according to obtaining result coefficient R2Further selection is most suitable for value
Wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
First use the preprocess method of smoothing processing.
Embodiment 5
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) sweetener infrared quantitative prediction model is established using Partial Least Squares, according to original spectrogram information acquisition packet
Then the corresponding wave-number range of absorption peak of the characteristic information containing sweetener analyzes original spectrum number by partial least square model
According to according to obtaining result coefficient R2Value further selects most suitable wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
The preprocess method for first using single order to lead.
Embodiment 6
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to
The sweetener sample of various concentration carries out infrared spectrum analysis to sample, obtains ir data.
(2) sweetener infrared quantitative prediction model is established using Partial Least Squares, according to original spectrogram information acquisition packet
Then the corresponding wave-number range of absorption peak of the characteristic information containing sweetener analyzes original spectrum number by partial least square model
According to according to obtaining result coefficient R2Value further selects most suitable wave-number range.
(3) optimal offset minimum binary Quantitative Analysis Model is obtained using preprocess method Optimized model, it is excellent to spectroscopic data
First use the preprocess method of smoothing processing.
Claims (3)
1. a kind of method quickly detecting sweetener based on infrared spectrum technology, which is characterized in that this approach includes the following steps：
(1) the five kinds of sweeteners detected include：Honey element, Sucralose, saccharin sodium, acesulfame potassium, Aspartame, are configured to various concentration
Sweetener sample, to sample carry out infrared spectrum analysis, obtain ir data；(2) using principal component analysis and partially most
Small square law combines and establishes sweetener infrared quantitative prediction model, and the suction of sweetener characteristic information is included with principal component analysis screening
The corresponding wave-number range in peak is received, original spectral data is then analyzed by partial least square model, according to obtaining result phase relation
Number R2Value further selects most suitable wave-number range；(3) preprocess method Optimized model is utilized, it is fixed to obtain optimal offset minimum binary
Measure analysis model.
2. a kind of method quickly detecting sweetener based on infrared spectrum technology according to claim 1, which is characterized in that
The corresponding wave-number range of absorption peak comprising sweetener characteristic information is：Honey element 1022-1065cm-1, 1119-
1258cm-1；Sucralose 1146-1196cm-1, 1277-1412cm-1；Saccharin sodium 1142-1157cm-1, 1204-1211cm-1,
1246-1269cm-1, 1308-1327cm-1, 1358-1497cm-1；Acesulfame potassium 1065-1069cm-1, 1142-1200cm-1,
1269-1428cm-1；Aspartame 1208-1497cm-1。
3. a kind of method quickly detecting sweetener based on infrared spectrum technology according to claim 1, which is characterized in that
Described preferentially uses spectroscopic data the preprocess method that single order is led.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111599416A (en) * | 2020-06-04 | 2020-08-28 | 广东省生物工程研究所（广州甘蔗糖业研究所） | Method for rapidly determining formula and using amount of sweetener and application thereof |
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