CN107942054A - A kind of arginyl butanedioic acid cracks enzyme reagent kit - Google Patents
A kind of arginyl butanedioic acid cracks enzyme reagent kit Download PDFInfo
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- CN107942054A CN107942054A CN201711137385.6A CN201711137385A CN107942054A CN 107942054 A CN107942054 A CN 107942054A CN 201711137385 A CN201711137385 A CN 201711137385A CN 107942054 A CN107942054 A CN 107942054A
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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
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/573—Immunoassay; Biospecific binding assay; Materials therefor for enzymes or isoenzymes
-
- 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
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/531—Production of immunochemical test materials
- G01N33/532—Production of labelled immunochemicals
- G01N33/535—Production of labelled immunochemicals with enzyme label or co-enzymes, co-factors, enzyme inhibitors or enzyme substrates
-
- 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
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/576—Immunoassay; Biospecific binding assay; Materials therefor for hepatitis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/90—Enzymes; Proenzymes
- G01N2333/988—Lyases (4.), e.g. aldolases, heparinase, enolases, fumarase
Abstract
The invention belongs to technical field of biological, discloses a kind of arginyl butanedioic acid cracking enzyme reagent kit, is provided with bottom plate, and the left side of the bottom plate is internally provided with detection cell embedded with detection box, the detection box；Bottle rest area is provided with the right side of the detection box, the lower end of the bottom plate is provided with capillary burette groove and tweezers groove.The arginyl butanedioic acid lyases diagnostic kit determines the activity of arginyl butanedioic acid lyases by measuring the amount of arginyl butanedioic acid cracking enzyme reaction product respectively, and then judge the amount of arginyl butanedioic acid lyases in serum, determine whether the content of arginyl butanedioic acid lyases is exceeded by certain value range, and then judge whether patient's sense is infected.Measure is easy, it is quick, accurate, available for various automatic biochemistry analyzer, easy to spread and popularization.
Description
Technical field
The invention belongs to technical field of biological, more particularly to a kind of arginyl butanedioic acid cracking enzyme reagent kit.
Background technology
Arginyl butanedioic acid lyases (ASAL) is to diagnose hepatitis, carry out Index for diagnosis, the estimation state of an illness, the weight for observing curative effect
Index is wanted, particularly surface antigen positive, the not high patient of glutamic-pyruvic transaminase, can improve early diagnostic rate.Arginyl butanedioic acid
Lyases is a kind of enzyme produced in urea synthesizing metabolic process, its content in liver is most abundant, is present in small intestine and kidney on a small quantity
It is dirty.When lesion occurs for liver, arginyl butanedioic acid lyases can enter blood with liver cell destruction.Arginyl butanedioic acid is split
It is often artificial detection to solve enzyme detection, and fluorescence component photometry is cumbersome, and reaction time length, reagent dosage is big, and accuracy is poor,
Impacted factor is more, it is impossible to which, with automatic biochemistry analyzer, still verification is popularized.
In conclusion problem existing in the prior art is：Arginyl butanedioic acid lyases examines cumbersome, the reaction time
Long, reagent dosage is big, and accuracy is poor, and impacted factor is more, it is impossible to which, with automatic biochemistry analyzer, still verification is popularized.
The content of the invention
In view of the problems of the existing technology, the present invention provides a kind of arginyl butanedioic acid lyases diagnostic kit.
The present invention is achieved in that arginyl butanedioic acid cracking enzyme reagent kit is provided with bottom plate, a left side for the bottom plate
Side is internally provided with detection cell embedded with detection box, the detection box；
Bottle rest area is provided with the right side of the detection box, the lower end of the bottom plate is provided with capillary burette groove and tweezers
Groove.
Further, the bottle rest area is provided with two rows, and upper row rest area is disposed with enzyme mark from left to right
Remember antibody bottle, quasi- product reagent bottle, substrate solution bottle；Lower row rest area be disposed with from left to right buffering agents bottle, tween bottle,
Color-developer reagent bottle.
Further, the enzymic-labelled antibody bottle is filled with antibody liquid, and the component and content of the antibody liquid are as follows：Citric acid
Sodium 5-20g/L, citric acid 2-10g/L, urea peroxide 0.5-1g/L, sodium pyrophosphate 0.5-5g/L, hydrogen peroxide 0.5-1mL/L, gathers
Ethylene oxide lauryl alcohol 0.2-1mL/L；
Phosphate buffer is filled with the buffering agents bottle 5, phosphate buffer composition is：94.2gNa2HPO4、5.2g
NaH2PO4·H2O、1.4g NH4Cl, is configured to 1000ml solution, phosphate buffer pH value is 7.82, described with distilled water
Phosphate buffer is using preceding needing to be passed through 3 CO2, make every time untill solution becomes colorless by pink, every time 1 it is small when, most
Once it is passed through before use afterwards, to improve the CO of new phosphate buffer2Ownership；
Tween 80-DTPA binary built surfactants are filled with the tween bottle, by Tween 80 and DTPA mixing
Into by mass, the ratio of the Tween 80 and DTPA is 1：4~4: 1；
The color-developer reagent bottle is filled with nitrite ion, and the nitrite ion per 1000mL includes following components：Citric acid 7g-
10g, disodium hydrogen phosphate 15g-25g, sodium perborate 0.2g-0.9g, glycerine 40-60ml, zymolyte 2mg-50mg, 50mL-70mL
Ethanol, the pH value of the anti-interference one-component chromogenic enzyme substrate reagent is 3.0-5.0.
Further, the rear end of the base is movably installed with the fastening lid to match with base, the fastening by hinge
Cover and be provided with transparent windows；
The lower end of the base, which is bolted, is provided with supporting rack, and height is provided with support frame as described above and adjusts rotation
Button.
Further, the adjusting method of the height adjustment knob comprises the following steps：
The current shaping modes of automatic seat are gathered, the shaping modes include high speed/long-distance pattern, congestion/urban district mould
Formula, rugged/pattern of jolting, ramp pattern and automatic mode；
The step of wireless sensor data polymerization of the automatic seat, is as follows：
Step 1, in the deployment region that area is S=LL, the wireless sensor node of the N number of isomorphism of random distribution, sink
Node is located at outside deployment region, the data being collected into the whole wireless sensor network of node processing；
Step 2, non-homogeneous cluster
Sink nodes are located at the top of deployment region；Deployment region X-axis is divided into S swimming lane first, and all swimming lanes have phase
Same width w, and each length of swimming lane and the equal length of deployment region；By the use of the ID from 1 to s as swimming lane, high order end
The ID of swimming lane be 1, then each swimming lane is divided into multiple rectangular mesh along y-axis, each grid in each swimming lane by
A level is defined, the level of the lowermost grid is 1, and each grid and each swimming lane have identical width w；In each swimming lane
Distance dependent of number, length and the swimming lane of grid to sink；The size of grid is adjusted by setting the length of grid；For
Different swimming lanes, the lattice number that swimming lane more remote distance sink contains are smaller；For same swimming lane, net more remote distance sink
The length of lattice is bigger；Assuming that contain S element, the number of k-th of element representation grid in k-th of swimming lane in A；Each grid
ID is used as with an array (i, j), represents that i-th of swimming lane has horizontal j；Define the length of S array representation grid, v-th of number
Group HvRepresent the length of grid in v-th of swimming lane, and HvW-th of element hvwRepresent the length of grid (v, w)；Grid (i,
J) border is：
O_x+ (i-1) × w ＜ x≤o_x+i × w
Non-uniform grid carries out the cluster stage after dividing；Algorithm, which is divided into many wheels, to carry out, and chooses in each round each
The node of dump energy maximum is as cluster head node in grid, remaining node adds cluster according to nearby principle, then again into line number
According to polymerization；
Step 3, Grubbs pretreatment
Sensor node needs to pre-process the data of collection, then transmits data to cluster head node again；Using lattice
The data that this pre- criterion of granny rag collects sensor node carry out pretreatment and assume that some cluster head node contains a sensor
Node, the data that sensor node is collected into are x1,x2,…,xn, Normal Distribution, and set：
According to order statistics principle, Grubbs statistic is calculated：
After given significance (α=0.05), measured value meets gi≤g0(n, α), then it is assumed that measured value is effective, surveys
Value participates in the data aggregate of next level；It is on the contrary, then it is assumed that measured value is invalid, it is therefore desirable to reject, that is, be not involved in down
The data aggregate of one level；
Step 4, adaptive aggregating algorithm
The unbiased estimator of each node measurement data is obtained by iteration, asks for the measurement data of each sensor node
Euclidean distance between value and estimate, adaptive weighted warm weights are used as using normalized Euclidean distance；Select in cluster
The average value of the maxima and minimas of data that collects of sensor node as centre data；
There is a sensor node in some cluster, with dimensional vector D=(d1,d2,…,dn) represent respective nodes measured value,
Euclidean distance by calculating each node data and centre data reacts the deviation between different node datas and centre data
Size, wherein liCalculation formula be：
According to the corresponding weights size of Euclidean distance adaptive setting, the bigger weights of distance are smaller, got over apart from smaller weights
Greatly；
WhereinwiFor corresponding weights；
Collection is used for the current state value for characterizing the parameter preset of vehicle-state；
The current state value is made comparisons with the seat shape state value scope of the current shaping modes, one is obtained and compares
As a result；
When the comparative result meets the seat shape state value scope for the current state value, draw corresponding current
The correction amount at moment；
The correction amount at the current time is handled, obtains an end value；
The automatic seat is adjusted according to the end value.
Further, the bottom of the bottle rest area is provided with sterile trays, and the inside of the base is embedded with storage battery, institute
Storage battery is stated to be electrically connected with the sterile trays.
Advantages of the present invention and good effect are：The arginyl butanedioic acid lyases diagnostic kit by measuring essence respectively
The amount of aminoacyl butanedioic acid cracking enzyme reaction product determines the activity of arginyl butanedioic acid lyases, and then judges essence ammonia in serum
The amount of acyl butanedioic acid lyases, determines whether the content of arginyl butanedioic acid lyases is exceeded by certain value range, into
And judge whether patient's sense is infected.Measure is easy, it is quick, accurate, available for various automatic biochemistry analyzer, it is easy to spread and general
And.
Brief description of the drawings
Fig. 1 is the structure diagram of malic dehydrogenase diagnostic kit provided in an embodiment of the present invention；
In figure：1st, box is detected；2nd, detection cell；3rd, enzymic-labelled antibody bottle；4th, quasi- product reagent bottle；5th, substrate solution bottle；6th, buffer
Liquid reagent bottle；7th, tween bottle；8th, color-developer reagent bottle；9th, bottom plate；10th, capillary burette groove；11st, tweezers groove.
Embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Describe in detail as follows.
1 pair of structure of the invention is explained in detail below in conjunction with the accompanying drawings.
Arginyl butanedioic acid cracking enzyme reagent kit is provided with bottom plate 9, and the left side of the bottom plate 9 is embedded with detection box 1, institute
That states detection box 1 is internally provided with detection cell 2；
The right side of the detection box 1 is provided with bottle rest area, and the lower end of the bottom plate 9 is provided with 10 He of capillary burette groove
Tweezers groove 11.
As the preferred embodiment of the present invention, the bottle rest area is provided with two rows, upper row rest area from a left side to
The right side is disposed with enzymic-labelled antibody bottle 3, quasi- product reagent bottle 4, substrate solution bottle 5；Lower row rest area is disposed with from left to right
Buffering agents bottle 5, tween bottle 7, color-developer reagent bottle 8.
As the preferred embodiment of the present invention, the enzymic-labelled antibody bottle 3 is filled with antibody liquid, the component of the antibody liquid
And content is as follows：Sodium citrate 5-20g/L, citric acid 2-10g/L, urea peroxide 0.5-1g/L, sodium pyrophosphate 0.5-5g/L are double
Oxygen water 0.5-1mL/L, Brij30 0.2-1mL/L；
Phosphate buffer is filled with the buffering agents bottle 5, phosphate buffer composition is：94.2gNa2HPO4、5.2g
NaH2PO4·H2O、1.4g NH4Cl, is configured to 1000ml solution, phosphate buffer pH value is 7.82, described with distilled water
Phosphate buffer is using preceding needing to be passed through 3 CO2, make every time untill solution becomes colorless by pink, every time 1 it is small when, most
Once it is passed through before use afterwards, to improve the CO of new phosphate buffer2Ownership；
Tween 80-DTPA binary built surfactants are filled with the tween bottle 7, by Tween 80 and DTPA mixing
Into by mass, the ratio of the Tween 80 and DTPA is 1：4~4: 1；
The color-developer reagent bottle 8 is filled with nitrite ion, and the nitrite ion per 1000mL includes following components：Citric acid 7g-
10g, disodium hydrogen phosphate 15g-25g, sodium perborate 0.2g-0.9g, glycerine 40-60ml, zymolyte 2mg-50mg, 50mL-70mL
Ethanol, the pH value of the anti-interference one-component chromogenic enzyme substrate reagent is 3.0-5.0.
As the preferred embodiment of the present invention, the rear end of the base is movably installed with what is matched with base by hinge
Fastening lid, is provided with transparent windows in the fastening lid；
The lower end of the base, which is bolted, is provided with supporting rack, and height is provided with support frame as described above and adjusts rotation
Button.
As the preferred embodiment of the present invention, the adjusting method of the height adjustment knob comprises the following steps：
The current shaping modes of automatic seat are gathered, the shaping modes include high speed/long-distance pattern, congestion/urban district mould
Formula, rugged/pattern of jolting, ramp pattern and automatic mode；
The step of wireless sensor data polymerization of the automatic seat, is as follows：
Step 1, in the deployment region that area is S=LL, the wireless sensor node of the N number of isomorphism of random distribution, sink
Node is located at outside deployment region, the data being collected into the whole wireless sensor network of node processing；
Step 2, non-homogeneous cluster
Sink nodes are located at the top of deployment region；Deployment region X-axis is divided into S swimming lane first, and all swimming lanes have phase
Same width w, and each length of swimming lane and the equal length of deployment region；By the use of the ID from 1 to s as swimming lane, high order end
The ID of swimming lane be 1, then each swimming lane is divided into multiple rectangular mesh along y-axis, each grid in each swimming lane by
A level is defined, the level of the lowermost grid is 1, and each grid and each swimming lane have identical width w；In each swimming lane
Distance dependent of number, length and the swimming lane of grid to sink；The size of grid is adjusted by setting the length of grid；For
Different swimming lanes, the lattice number that swimming lane more remote distance sink contains are smaller；For same swimming lane, net more remote distance sink
The length of lattice is bigger；Assuming that contain S element, the number of k-th of element representation grid in k-th of swimming lane in A；Each grid
ID is used as with an array (i, j), represents that i-th of swimming lane has horizontal j；Define the length of S array representation grid, v-th of number
Group HvRepresent the length of grid in v-th of swimming lane, and HvW-th of element hvwRepresent the length of grid (v, w)；Grid (i,
J) border is：
O_x+ (i-1) × w ＜ x≤o_x+i × w
Non-uniform grid carries out the cluster stage after dividing；Algorithm, which is divided into many wheels, to carry out, and chooses in each round each
The node of dump energy maximum is as cluster head node in grid, remaining node adds cluster according to nearby principle, then again into line number
According to polymerization；
Step 3, Grubbs pretreatment
Sensor node needs to pre-process the data of collection, then transmits data to cluster head node again；Using lattice
The data that this pre- criterion of granny rag collects sensor node carry out pretreatment and assume that some cluster head node contains a sensor
Node, the data that sensor node is collected into are x1,x2,…,xn, Normal Distribution, and set：
According to order statistics principle, Grubbs statistic is calculated：
After given significance (α=0.05), measured value meets gi≤g0(n, α), then it is assumed that measured value is effective, surveys
Value participates in the data aggregate of next level；It is on the contrary, then it is assumed that measured value is invalid, it is therefore desirable to reject, that is, be not involved in down
The data aggregate of one level；
Step 4, adaptive aggregating algorithm
The unbiased estimator of each node measurement data is obtained by iteration, asks for the measurement data of each sensor node
Euclidean distance between value and estimate, adaptive weighted warm weights are used as using normalized Euclidean distance；Select in cluster
The average value of the maxima and minimas of data that collects of sensor node as centre data；
There is a sensor node in some cluster, with dimensional vector D=(d1,d2,…,dn) represent respective nodes measured value,
Euclidean distance by calculating each node data and centre data reacts the deviation between different node datas and centre data
Size, wherein liCalculation formula be：
According to the corresponding weights size of Euclidean distance adaptive setting, the bigger weights of distance are smaller, got over apart from smaller weights
Greatly；
WhereinwiFor corresponding weights；
Collection is used for the current state value for characterizing the parameter preset of vehicle-state；
The current state value is made comparisons with the seat shape state value scope of the current shaping modes, one is obtained and compares
As a result；
When the comparative result meets the seat shape state value scope for the current state value, draw corresponding current
The correction amount at moment；
The correction amount at the current time is handled, obtains an end value；
The automatic seat is adjusted according to the end value.
As the preferred embodiment of the present invention, the bottom of the bottle rest area is provided with sterile trays, the base it is interior
Portion is embedded with storage battery, and the storage battery is electrically connected with the sterile trays.
The changing value (△ A/ minutes) of ASAL absorbances is measured under 340nm wavelength, calculates its activity.Major technique is joined
Number：Reaction temperature：37 DEG C, minute：90s, delay time：60s, 12.5/ μ L of amount of samples, 125/ μ L of reagent dosage, instead
Answer direction positive reaction.Blood is for liquid sample, daily morning 6：00~9：When 00, extracting vein blood 2.5ml, puts in vacuum blood collection tube, treats
Survey.Agents useful for same is enzymic-labelled antibody (30 times concentration) HRPIgG, affinity purification 0.4mL, standard items 60.5mL, EIA buffer solution
Containing 1%BSA, 0.05% polysorbas20 BPS12mL, color developing agent TMB, substrate solution 15mL, terminate liquid 1N sulfuric acid 1.2mL, thickening and washing
Liquid (40 times of concentrations) contains 1%BSA, 0.05% polysorbas20 BPS50mL.Blood preparation daily early 6：00~9：Gather, take quiet when 00
Arteries and veins blood 2.5ml, puts in vacuum blood collection tube, to be measured.Use the kit being prepared into.
Arginyl butanedioic acid lyases is determined by measuring the amount of arginyl butanedioic acid cracking enzyme reaction product respectively
Activity, and then judge the amount of arginyl butanedioic acid lyases in serum, arginyl butanedioic acid is determined by certain value range
Whether the content of lyases is exceeded, and then judges whether patient's sense is infected.
The above is only the preferred embodiments of the present invention, and not makees limitation in any form to the present invention,
Every technical spirit according to the present invention belongs to any simple modification made for any of the above embodiments, equivalent variations and modification
In the range of technical solution of the present invention.
Claims (5)
1. a kind of arginyl butanedioic acid cracks enzyme reagent kit, it is characterised in that the arginyl butanedioic acid cracking enzyme reagent kit is set
Bottom plate is equipped with, the left side of the bottom plate is internally provided with detection cell embedded with detection box, the detection box；
Bottle rest area is provided with the right side of the detection box, the lower end of the bottom plate is provided with capillary burette groove and tweezers groove；
The bottle rest area is provided with two rows, and upper row rest area is disposed with enzymic-labelled antibody bottle, standard from left to right
Product reagent bottle, substrate solution bottle；Lower row rest area is disposed with buffering agents bottle, tween bottle, color-developer reagent from left to right
Bottle.
2. arginyl butanedioic acid as claimed in claim 1 cracks enzyme reagent kit, it is characterised in that the enzymic-labelled antibody bottle is filled out
Filled with antibody liquid, the component and content of the antibody liquid are as follows：Sodium citrate 5-20g/L, citric acid 2-10g/L, urea peroxide
0.5-1g/L, sodium pyrophosphate 0.5-5g/L, hydrogen peroxide 0.5-1mL/L, Brij30 0.2-1mL/L；
Phosphate buffer is filled with the buffering agents bottle 5, phosphate buffer composition is：94.2gNa2HPO4、5.2g
NaH2PO4·H2O、1.4g NH4Cl, is configured to 1000ml solution, phosphate buffer pH value is 7.82, described with distilled water
Phosphate buffer is using preceding needing to be passed through 3 CO2, make every time untill solution becomes colorless by pink, every time 1 it is small when, most
Once it is passed through before use afterwards, to improve the CO of new phosphate buffer2Ownership；
Tween 80-DTPA binary built surfactants are filled with the tween bottle, is mixed, pressed by Tween 80 and DTPA
Quality meter, the ratio of the Tween 80 and DTPA is 1：4~4: 1；
The color-developer reagent bottle is filled with nitrite ion, and the nitrite ion per 1000mL includes following components：Citric acid 7g-10g, phosphorus
Sour disodium hydrogen 15g-25g, sodium perborate 0.2g-0.9g, glycerine 40-60ml, zymolyte 2mg-50mg, 50mL-70mL ethanol, institute
The piece pH value for stating anti-interference one-component chromogenic enzyme substrate reagent is 3.0-5.0.
3. arginyl butanedioic acid as claimed in claim 1 cracks enzyme reagent kit, it is characterised in that the rear end of the base passes through
Hinge is movably installed with the fastening lid to match with base, and transparent windows are provided with the fastening lid；
The lower end of the base, which is bolted, is provided with supporting rack, and height adjustment knob is provided with support frame as described above.
4. arginyl butanedioic acid as claimed in claim 3 cracks enzyme reagent kit, it is characterised in that the height adjustment knob
Adjusting method comprises the following steps：
Gather the current shaping modes of automatic seat, the shaping modes include at a high speed/long-distance pattern, congestion/urban district pattern, rugged
Rugged/pattern of jolting, ramp pattern and automatic mode；
The step of wireless sensor data polymerization of the automatic seat, is as follows：
Step 1, in the deployment region that area is S=LL, the wireless sensor node of the N number of isomorphism of random distribution, sink nodes
Outside deployment region, the data that are collected into the whole wireless sensor network of node processing；
Step 2, non-homogeneous cluster
Sink nodes are located at the top of deployment region；Deployment region X-axis is divided into S swimming lane first, and all swimming lanes have identical
Width w, and each length of swimming lane and the equal length of deployment region；By the use of the ID from 1 to s as swimming lane, the swimming of high order end
The ID in road is 1, and then each swimming lane is divided into multiple rectangular mesh along y-axis, and each grid in each swimming lane is defined
One level, the level of the lowermost grid is 1, and each grid and each swimming lane have identical width w；Grid in each swimming lane
Number, length and swimming lane to sink distance dependent；The size of grid is adjusted by setting the length of grid；For difference
Swimming lane, the lattice number that swimming lane more remote distance sink contains is smaller；For same swimming lane, grid more remote distance sink
Length is bigger；Assuming that contain S element, the number of k-th of element representation grid in k-th of swimming lane in A；Each grid is with one
A array (i, j) is used as ID, represents that i-th of swimming lane has horizontal j；Define the length of S array representation grid, v-th of array Hv
Represent the length of grid in v-th of swimming lane, and HvW-th of element hvwRepresent the length of grid (v, w)；Grid (i, j)
Border is：
O_x+ (i-1) × w ＜ x≤o_x+i × w
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Non-uniform grid carries out the cluster stage after dividing；Algorithm, which is divided into many wheels, to carry out, and chooses each grid in each round
The node of middle dump energy maximum adds cluster according to nearby principle, then carries out data again and gather as cluster head node, remaining node
Close；
Step 3, Grubbs pretreatment
Sensor node needs to pre-process the data of collection, then transmits data to cluster head node again；Using Ge Labu
The data that this pre- criterion collects sensor node carry out pretreatment and assume that some cluster head node contains a sensor node,
The data that sensor node is collected into are x1,x2,…,xn, Normal Distribution, and set：
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<mn>0</mn>
</msub>
<mo>,</mo>
<mi>&delta;</mi>
<mo>=</mo>
<msqrt>
<mrow>
<mfrac>
<mn>1</mn>
<mi>n</mi>
</mfrac>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</msubsup>
<msub>
<mi>v</mi>
<mi>i</mi>
</msub>
</mrow>
</msqrt>
<mo>;</mo>
</mrow>
According to order statistics principle, Grubbs statistic is calculated：
<mrow>
<msub>
<mi>g</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>x</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>x</mi>
<mn>0</mn>
</msub>
</mrow>
<mi>&delta;</mi>
</mfrac>
<mo>;</mo>
</mrow>
After given significance (α=0.05), measured value meets gi≤g0(n, α), then it is assumed that measured value is effective, measured value
Participate in the data aggregate of next level；It is on the contrary, then it is assumed that measured value is invalid, it is therefore desirable to reject, that is, be not involved in next layer
Secondary data aggregate；
Step 4, adaptive aggregating algorithm
The unbiased estimator of each node measurement data is obtained by iteration, ask for the measured data values of each sensor node with
Euclidean distance between estimate, adaptive weighted warm weights are used as using normalized Euclidean distance；Select the biography in cluster
The average value of the maxima and minima for the data that sensor node collects is as centre data；
There is a sensor node in some cluster, with dimensional vector D=(d1,d2,…,dn) represent respective nodes measured value, pass through
The deviation size between the different node datas of Euclidean distance reaction of each node data and centre data and centre data is calculated,
Wherein liCalculation formula be：
<mrow>
<msub>
<mi>l</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<msqrt>
<msup>
<mrow>
<mo>(</mo>
<msub>
<mi>d</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mi>T</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</msqrt>
<mo>;</mo>
</mrow>
According to the corresponding weights size of Euclidean distance adaptive setting, the bigger weights of distance are smaller, bigger apart from smaller weights；
<mrow>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mn>1</mn>
<mo>/</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>l</mi>
<mi>i</mi>
</msub>
<mo>/</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<mn>1</mn>
<mo>/</mo>
<msub>
<mi>l</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
WhereinwiFor corresponding weights；
Collection is used for the current state value for characterizing the parameter preset of vehicle-state；
The current state value is made comparisons with the seat shape state value scope of the current shaping modes, one is obtained and compares knot
Fruit；
When the comparative result meets the seat shape state value scope for the current state value, corresponding current time is drawn
Correction amount；
The correction amount at the current time is handled, obtains an end value；
The automatic seat is adjusted according to the end value.
5. arginyl butanedioic acid as claimed in claim 1 cracks enzyme reagent kit, it is characterised in that the bottom of the bottle rest area
Portion is provided with sterile trays, and the inside of the base is embedded with storage battery, and the storage battery is electrically connected with the sterile trays.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590453A (en) * | 2012-02-17 | 2012-07-18 | 徐�明 | Phosphate buffer for in-vitro rumen gas production method |
| CN103645181A (en) * | 2013-12-13 | 2014-03-19 | 山东博科生物产业有限公司 | Enzyme-linked immunosorbent assay chromogenic substrate solution |
| CN103805359A (en) * | 2012-11-13 | 2014-05-21 | 刘一江 | Tween-80-DTPA (diethylenetriamine pentaacetic acid) binary combinational surfactant |
| CN103818272A (en) * | 2014-03-17 | 2014-05-28 | 北京汽车股份有限公司 | Electric seat adjusting method and system and vehicle |
| US20140275294A1 (en) * | 2013-03-15 | 2014-09-18 | Banyan Biomarkers, Inc. | Devices and methods for biomarker detection process and assay of liver injury |
| CN104458719A (en) * | 2014-11-25 | 2015-03-25 | 成都威尔诺生物科技有限公司 | Preparation method for sing-component TMB color development solution |
| CN104618997A (en) * | 2015-01-28 | 2015-05-13 | 西安电子科技大学 | Data aggregation method based on non-uniform grids |
| WO2016209826A1 (en) * | 2015-06-22 | 2016-12-29 | Abbvie, Inc. | Components of the urea cycle as biomarkers for inflammatory disease and methods of using same |
| CN206540922U (en) * | 2017-03-15 | 2017-10-03 | 潍坊市康华生物技术有限公司 | A kind of PAPP A detection kits |
-
2017
- 2017-11-16 CN CN201711137385.6A patent/CN107942054A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590453A (en) * | 2012-02-17 | 2012-07-18 | 徐�明 | Phosphate buffer for in-vitro rumen gas production method |
| CN103805359A (en) * | 2012-11-13 | 2014-05-21 | 刘一江 | Tween-80-DTPA (diethylenetriamine pentaacetic acid) binary combinational surfactant |
| US20140275294A1 (en) * | 2013-03-15 | 2014-09-18 | Banyan Biomarkers, Inc. | Devices and methods for biomarker detection process and assay of liver injury |
| CN103645181A (en) * | 2013-12-13 | 2014-03-19 | 山东博科生物产业有限公司 | Enzyme-linked immunosorbent assay chromogenic substrate solution |
| CN103818272A (en) * | 2014-03-17 | 2014-05-28 | 北京汽车股份有限公司 | Electric seat adjusting method and system and vehicle |
| CN104458719A (en) * | 2014-11-25 | 2015-03-25 | 成都威尔诺生物科技有限公司 | Preparation method for sing-component TMB color development solution |
| CN104618997A (en) * | 2015-01-28 | 2015-05-13 | 西安电子科技大学 | Data aggregation method based on non-uniform grids |
| WO2016209826A1 (en) * | 2015-06-22 | 2016-12-29 | Abbvie, Inc. | Components of the urea cycle as biomarkers for inflammatory disease and methods of using same |
| CN206540922U (en) * | 2017-03-15 | 2017-10-03 | 潍坊市康华生物技术有限公司 | A kind of PAPP A detection kits |
Non-Patent Citations (4)
| Title |
|---|
| BENAMAR M ET AL.,: "Changes in argininosuccinate lyase gene expression in the rat liver during development", 《BIOL NEONATE.》 * |
| CAMPANINI RZ ET AL.,: "Evaluation of serum argininosuccinate lyase (ASAL) concentrations as an index to parenchymal liver disease", 《CLIN CHEM.》 * |
| SAHEKI T ET AL.,: "Molecular basis of enzyme abnormalities in urea cycle disorders", 《ENZYME》 * |
| 李彬先 等: "精氨酰琥珀酸裂解酶(ASAL)、苹果酸脱氢酶(MDH)的测定方法及在肝炎诊断中应用的研究", 《第二届世界华人临床生化和检验医学大会暨第六届全国检验医学学术会议》 * |
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