CN106248893A - A kind of detection device based on multiple sensors - Google Patents
A kind of detection device based on multiple sensors Download PDFInfo
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- CN106248893A CN106248893A CN201610839574.7A CN201610839574A CN106248893A CN 106248893 A CN106248893 A CN 106248893A CN 201610839574 A CN201610839574 A CN 201610839574A CN 106248893 A CN106248893 A CN 106248893A
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/025—Fruits or vegetables
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Abstract
The invention discloses a kind of detection device based on multiple sensors, it is characterised in that: include detection module, data processing module and analysis module;Described detection module includes organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and pyrethroid detection module;Described detection module passes through data processing module linking parsing module.The pesticide residues analyte detection device of the present invention is easy to carry, volume is little, can be convenient to people and can directly use in buying vegetables;Simple to operate, it is possible to detection Multiple Pesticides residue, solve the problem that existing detection device can only carry out single detection, it is achieved the detection of multiple residue, obtain safer testing result.
Description
Technical field
The present invention relates to food detection field, a kind of detection device based on multiple sensors.
Background technology
Along with the development of agriculture industrialization, the production of agricultural product is increasingly dependent on the external sources such as pesticide, antibiotic and hormone
Material.China's pesticide consumption on grain, veterinary antibiotics, Folium Camelliae sinensis remains high, and the unreasonable use of these materials will
Cause the pesticide residues in agricultural product to exceed standard, affect consumer's edible safety, consumer can be caused time serious to cause a disease, the most just growing
Often, even directly result in and be poisoned to death.The safety of food is worried by people very much, but existing detection in practical operation not
The most convenient, also it is not easy to carry with simultaneously and quickly detects use, the detection of present food residual pesticide typically can only be examined
Surveying one or both, and can not more comprehensively detect most residue, there is potential safety hazard, one can be convenient for carrying
With quickly detection, and detection detects the design of equipment comprehensively and accurately and becomes particularly important.
Chemical method step is various, the longest, and the pesticide variety once detected is few, and the pesticide variety of bioanalysis detection is limited,
It is difficult to the most quantitative detection.
Summary of the invention
The goal of the invention of the present invention is: for the problem of above-mentioned existence, it is provided that a kind of detection based on multiple sensors
Device, provides detection method simultaneously.
The technical solution used in the present invention is as follows:
A kind of detection device based on multiple sensors of the present invention, including detection module, data processing module and analysis mould
Block;Described detection module includes organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and intends deinsectization
Chrysanthemum ester detection module;Described detection module passes through data processing module linking parsing module.
A kind of detection device based on multiple sensors of the present invention, described organophosphor detection module and the inspection of carbamic acid lipid
Survey module and all use acetylcholine esterase sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described acetylcholine esterase sensor:
Glass-carbon electrode is polished on polishing cloth with alumina powder respectively, is carried out with substantial amounts of redistilled water, by glass carbon
Electrode moves in ultrasonic cleaning instrument and uses redistilled water, washes of absolute alcohol successively, dries;Take carboxylated multi-wall carbon nano-tube
Pipe solution drop coating to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, natural drying, then it is molten to instill polysaccharide
Liquid.
A kind of detection device based on multiple sensors of the present invention, described organochlorine detection module uses ferrous ammonification
Ag films sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described ferrous ammonification Ag films: by nitre
Acid silver 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, is joined by silver nitrate solution in potassium ferrocyanide solution,
Whom centrifugation, wash to not silver ion repeatedly by precipitate with;Strong aqua ammonia 25mL is added, after shaking up, by thin in precipitation
Film immerses 5min in suspension ammonia solution, takes out thin film hot blast drying.
A kind of detection device based on multiple sensors of the present invention, described pyrethroid detection module uses cell
Sensor.
A kind of detection device based on multiple sensors of the present invention, the array electrode of described sensor include glass-carbon electrode and
Ion Sensitive Microelectrode;Described ferrous ammonification Ag films sensor includes sensing element and recognition component;Described sensing element is
Ferrous ammonification Ag films;Described recognition component is imageing sensor;Imageing sensor gathers the reaction face of ferrous ammonification Ag films
Chromatic number evidence, carries out image procossing, according to the color of image obtained and the content of corresponding organochlorine and composition, it becomes possible to directly
The content of the organochlorine in detection food and composition.
A kind of detection device based on multiple sensors of the present invention, also includes data fusion unit in described data module,
The method of its data fusion includes following step:
Step one: the number that acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor are gathered
According to being sent in data processing module, collection data being carried out initialization and obtains sensor Support matrix, the structure K moment senses
N+1 between device ties up Support matrix Tn+1(k);
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k);
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
Step 5: calculate fusion results according to merging estimated value.
Existing Support matrix data fusion method, it is considered that sensor sample value at a time consistent
Property, and not can be shown that it is all consistent on whole surveying range, the difference equally existed between the moment, at whole surveying range
Upper structure Support matrix, by Support matrix, can reflect sensor reliability on whole interval more accurately.
A kind of detection device based on multiple sensors of the present invention, builds the K moment in described data fusion method step one
N+1 between sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp
(-a|yi(k)-yn+1(k) |), T(n+1)j(k)=exp (-a | yn+1(k)-yj(k)|);yn+1K () is to merge in front K-1 the moment to estimate
The average of value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate;
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
1, easy to carry, complicated compared to the operation of existing pesticide residues analyte detection device, inconvenient to carry, the present invention's
Test device body is amassed little, can be convenient to people and can directly use in buying vegetables.
2, simple to operate, directly by the sample embedding device of detection article uses, testing result can be clearly showed that,
Detection need not numerous and diverse operation, it is not necessary to user possesses special use knowledge.
3, Multiple Pesticides residue can be detected, solve the problem that existing detection device can only carry out single detection, it is achieved
The detection of multiple residue, obtains safer testing result.
4, realize the Data Fusion of multiple sensors, according to the convergence analysis of multiple detection data, obtain optimization
Testing result, get rid of the Data duplication of multiple sensors Data processing and mistake.
Accompanying drawing explanation
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is a kind of detection device based on multiple sensors of the present invention.
Detailed description of the invention
All features disclosed in this specification, or disclosed all methods or during step, except mutually exclusive
Feature and/or step beyond, all can combine by any way.
Any feature disclosed in this specification (including any accessory claim, summary), unless specifically stated otherwise,
By other equivalences or there is the alternative features of similar purpose replaced.I.e., unless specifically stated otherwise, each feature is a series of
An example in equivalence or similar characteristics.
Embodiment one:
Such as Fig. 1, a kind of detection device based on multiple sensors of the present invention, including detection module, data processing module and
Analyze module;Described detection module include organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and
Pyrethroid detection module;Described detection module passes through data processing module linking parsing module.
A kind of detection device based on multiple sensors of the present invention, described organophosphor detection module and the inspection of carbamic acid lipid
Survey module and all use acetylcholine esterase sensor.
Embodiment two:
Compared with embodiment one, embodiment adds technical characteristic, it is the preparation side of acetylcholine esterase sensor
Method: glass-carbon electrode is polished on polishing cloth with alumina powder respectively, is carried out with substantial amounts of redistilled water, by glass
Carbon electrode moves in ultrasonic cleaning instrument and uses redistilled water, washes of absolute alcohol successively, dries;Take carboxylated many walls carbon to receive
Mitron solution drop coating to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, natural drying, then it is molten to instill polysaccharide
Liquid.
A kind of detection device based on multiple sensors of the present invention, described organochlorine detection module uses ferrous ammonification
Ag films sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described ferrous ammonification Ag films: by nitre
Acid silver 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, is joined by silver nitrate solution in potassium ferrocyanide solution,
Whom centrifugation, wash to not silver ion repeatedly by precipitate with;Strong aqua ammonia 25mL is added, after shaking up, by thin in precipitation
Film immerses 5min in suspension ammonia solution, takes out thin film hot blast drying.
A kind of detection device based on multiple sensors of the present invention, described pyrethroid detection module uses cell
Sensor.
A kind of detection device based on multiple sensors of the present invention, the array electrode of described sensor include glass-carbon electrode and
Ion Sensitive Microelectrode;Described ferrous ammonification Ag films sensor includes sensing element and recognition component;Described sensing element is
Ferrous ammonification Ag films;Described recognition component is imageing sensor;Imageing sensor gathers the reaction face of ferrous ammonification Ag films
Chromatic number evidence, carries out image procossing, according to the color of image obtained and the content of corresponding organochlorine and composition, it becomes possible to directly
The content of the organochlorine in detection food and composition.
Embodiment three:
Compared with embodiment one and two, the present embodiment also discloses and also includes data fusion unit in data module, its number
Following step is included according to the method merged:
Step one: the number that acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor are gathered
According to being sent in data processing module, collection data being carried out initialization and obtains sensor Support matrix, the structure K moment senses
N+1 between device ties up Support matrix Tn+1(k);
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k);
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
Step 5: calculate fusion results according to merging estimated value.
A kind of detection device based on multiple sensors of the present invention, builds the K moment in described data fusion method step one
N+1 between sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp
(-a|yi(k)-yn+1(k) |), T(n+1)j(k)=exp (-a | yn+1(k)-yj(k)|);yn+1K () is to merge in front K-1 the moment to estimate
The average of value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate;
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
The invention is not limited in aforesaid detailed description of the invention.The present invention expands to any disclose in this manual
New feature or any new combination, and the arbitrary new method that discloses or the step of process or any new combination.
Claims (8)
1. a detection device based on multiple sensors, it is characterised in that: include detection module, data processing module and analysis
Module;Described detection module includes that organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and plan are removed
Worm chrysanthemum ester detection module;Described detection module passes through data processing module linking parsing module.
2. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described organophosphor detection module
Acetylcholine esterase sensor is all used with carbamic acid lipid detection module.
3. detection device based on multiple sensors as claimed in claim 2, it is characterised in that: described acetylcholine esterase passes
The preparation method of sensor: glass-carbon electrode is polished on polishing cloth with alumina powder respectively, uses substantial amounts of redistilled water
It is carried out, glass-carbon electrode is moved into ultrasonic cleaning instrument uses redistilled water, washes of absolute alcohol successively, dry;Take carboxylic
The multi-walled carbon nano-tubes solution drop coating of base to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, naturally do
Dry, then instill polysaccharide solution.
4. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described organochlorine detection module
Use ferrous ammonification Ag films sensor;Described ferrous ammonification Ag films sensor includes sensing element and recognition component;
Described sensing element is ferrous ammonification Ag films;Described recognition component is imageing sensor;Imageing sensor gathers ferrous ammonification
The reaction color data of Ag films, carry out image procossing, according to the content of the color of image obtained and corresponding organochlorine with become
Point, it becomes possible to obtain detecting content and the composition of the organochlorine in food.
5. detection device based on multiple sensors as claimed in claim 4, it is characterised in that: described ferrous ammonification Ag films
Preparation method: silver nitrate 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, silver nitrate solution is joined Asia
In potassium ferricyanide solution, centrifugation, whom precipitate is washed to not silver ion repeatedly with;Strong aqua ammonia is added in precipitation
25mL, after shaking up, immerses thin film 5min in suspension ammonia solution, takes out thin film hot blast drying.
6. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described pyrethroid detects
Module uses cell sensor.
7. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described data module is also wrapped
Including data fusion unit, the method for its data fusion includes following step:
Step one: the data of acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor collection are sent out
Deliver in data processing module, collection data are carried out initialization and obtains sensor Support matrix, build between K moment sensor
N+1 tie up Support matrix Tn+1(k);
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k);
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
Step 5: calculate fusion results according to merging estimated value.
8. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described data fusion method walks
The n+1 built in rapid one between K moment sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp (-ayi
(k)-yn+1(k)), T(n+1)j(k)=exp (-ayn+1(k)-yj(k));
yn+1K () is the average front K-1 the moment merging estimated value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate;
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
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