CN107228843B - A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model - Google Patents
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model Download PDFInfo
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- CN107228843B CN107228843B CN201710316199.2A CN201710316199A CN107228843B CN 107228843 B CN107228843 B CN 107228843B CN 201710316199 A CN201710316199 A CN 201710316199A CN 107228843 B CN107228843 B CN 107228843B
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- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
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- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N2021/635—Photosynthetic material analysis, e.g. chrorophyll
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/127—Calibration; base line adjustment; drift compensation
- G01N2201/12746—Calibration values determination
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Abstract
The present invention discloses a kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, include the following steps: four kinds of different classes of pure strain samples of preparation several；It measures the chlorophyll a value of different pure strain samples respectively with traditional experiment room detection method and on-line computing model, and calculates separately the ratio between distinct methods chlorophyll a measured value, as calibration factor；To institute's test sample this progress frond enrichment, advantage algae is determined；Start on-line computing model automatic cleaning function；On-line computing model pure water light transmittance is adjusted to 99% or more；Actual water sample is measured with on-line computing model, obtains different genera frond chlorophyll a component and the total numerical quantity of chlorophyll a；It is calibrated with detection data of the calibration factor to advantage class corresponding in on-line computing model measured value, recalculates on-line checking value, obtain final chlorophyll a detection numerical value.The present invention can significantly improve the data accuracy of fluorescence method chlorophyll a on-line computing model.
Description
Technical field
The present invention discloses a kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, belongs to water body situation and exists
The technical field of line monitor calibration method.
Background technique
Accurately and timely monitoring water body situation is prediction and effectively administers the eutrophic premise of water quality, relative to traditional experiment room
Detection method it is time-consuming and laborious, fluorescence method chlorophyll a on-line computing model can be realized rapidly, continuously, fixed point monitoring, in eutrophy
Monitoring aspect has a clear superiority.Algae when by external light stimulus, by the energy for stimulating light be converted into photosynthesis energy,
Fluorescence and fever, wherein fluorescence is readily possible to detect.When due to same seeds algae by different wave length unit strength excitation,
The fluorescence intensity of sending is different, and different algaes is when by identical wavelength unit intensity excitation, and the fluorescence of sending is strong
Degree is also different.Fluorescence method chlorophyll a on-line computing model, can by selecting the exciting light of different wave length to stimulate measurand
Quantitative analysis different algal species chlorophyll content.But in terms of instrument practical situations, generally believe such on-line computing model anti-
It is with the obvious advantage but relatively poor on data accuracy to reflect data trend aspect.
Summary of the invention
The object of the present invention is to provide a kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, this method
The data accuracy that fluorescence method chlorophyll a on-line computing model can be significantly improved haves no need to change device structure, expense relatively
Low and result reliability is high.
In order to achieve the above objectives, the technical scheme adopted by the invention is as follows:
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, includes the following steps:
Step (1): according to fluorescence method chlorophyll a on-line computing model it is parameter-embedded in classification to frond, four kinds of preparation is not
Generic pure strain sample several；
Step (2): Bu Tong pure algae is measured respectively with fluorescence method chlorophyll a on-line computing model with traditional experiment room detection method
The chlorophyll a value of kind sample, and the ratio between distinct methods chlorophyll a measured value is calculated separately, as fluorescence method chlorophyll a
The calibration factor of on-line computing model frond chlorophyll a of all categories；
Step (3): to institute's test sample this progress frond enrichment, algae constitutes situation in sample after microscopy enrichment, determines advantage
Algae；
Step (4): start completion fluorescence method chlorophyll a on-line computing model automatic cleaning function, and measure pure water blank value；
It is determined the need for repeating automatic cleaning step according to pure water blank value size；
Step (5): fluorescence method chlorophyll a on-line computing model pure water light transmittance values are checked, and adjusts pure water light transmittance and arrives
99% or more；
Step (6): actual water sample is measured with fluorescence method chlorophyll a on-line computing model, obtains different genera frond
Chlorophyll a component and the total numerical quantity of chlorophyll a；
Step (7): obtained calibration factor is measured with step (2), in fluorescence method chlorophyll a on-line computing model measured value
The detection data of corresponding advantage class is calibrated, and on-line checking value is recalculated, and obtains final chlorophyll a detection numerical value.
In the present invention, four kinds of different classes of pure strain samples can be prepared by appropriate ways, can specifically pass through reality
The modes such as oneself cultivate after algae from corresponding mechanism are directly ordered or are bought in water sample separation.
As the further setting of above-metioned scheme, it in the step (4), when pure water blank value is greater than 0.5 micrograms per litre, needs
Repeat automatic cleaning step.
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model of the present invention, can significantly improve fluorescence method
The data accuracy of chlorophyll a on-line computing model, haves no need to change that device structure, expense are relatively low and result reliability is high.
Meanwhile basin is used for relatively-stationary, this method has certain growth, it may be assumed that by experience accumulation, improves chlorophyll a
Detection data accuracy can become to be more easier.
Specific embodiment
Below by specific embodiment, the invention will be further described, but the present invention is not limited by following embodiment
It is fixed.
Embodiment 1
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, includes the following steps:
Step (1): according to fluorescence method chlorophyll a on-line computing model it is parameter-embedded in classification to frond, four kinds of preparation is not
Generic pure strain sample several, comprising: Chlorococcum, the aphanizomenon flos aquae of " blue algae "；The common bead of " green algae "
Algae, medium-sized Euglena；The more dinoflagellates of shank Zao, Parapet shape of " brown algae " mutation such as not；The hidden algae of " hidden algae ".
Step (2): Bu Tong pure algae is measured respectively with fluorescence method chlorophyll a on-line computing model with traditional experiment room detection method
The chlorophyll a value of kind sample, and the ratio between distinct methods chlorophyll a measured value is calculated separately, as fluorescence method chlorophyll a
The calibration factor (being shown in Table 1) of on-line computing model frond chlorophyll a of all categories.
The different classes of typical algae correction coefficient of table 1
Step (3): to institute's test sample this progress frond enrichment, algae constitutes situation in sample after microscopy enrichment, determines advantage
Algae is Chlorella.
Step (4): start completion fluorescence method chlorophyll a on-line computing model automatic cleaning function, and measure pure water blank value.
When pure water blank value is greater than 0.5 micrograms per litre, need to repeat automatic cleaning step.
Step (5): fluorescence method chlorophyll a on-line computing model pure water light transmittance values are checked, and adjusts pure water light transmittance and arrives
99% or more.
Step (6): actual water sample is measured with fluorescence method chlorophyll a on-line computing model, obtains different genera frond
Chlorophyll a component and the total numerical quantity of chlorophyll a (being shown in Table 2).
Step (7): measuring obtained calibration factor 0.61 with step (2), measures to fluorescence method chlorophyll a on-line computing model
The detection data of corresponding advantage class green algae is calibrated in value, is recalculated on-line checking value, is obtained final chlorophyll a
The relative deviation of detection numerical value and traditional experiment room detection numerical value is reduced to -10.4% by 46.0%.
2 correction coefficient application example one of table
Embodiment 2
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, includes the following steps:
Step (1): according to fluorescence method chlorophyll a on-line computing model it is parameter-embedded in classification to frond, four kinds of preparation is not
Generic pure strain sample several, comprising: Chlorococcum, the aphanizomenon flos aquae of " blue algae "；The common bead of " green algae "
Algae, medium-sized Euglena；The more dinoflagellates of shank Zao, Parapet shape of " brown algae " mutation such as not；The hidden algae of " hidden algae ".
Step (2): Bu Tong pure algae is measured respectively with fluorescence method chlorophyll a on-line computing model with traditional experiment room detection method
The chlorophyll a value of kind sample, and the ratio between distinct methods chlorophyll a measured value is calculated separately, as fluorescence method chlorophyll a
The calibration factor (being shown in Table 1) of on-line computing model frond chlorophyll a of all categories.
Step (3): to institute's test sample this progress frond enrichment, algae constitutes situation in sample after microscopy enrichment, determines advantage
Algae is coral Trentepohlia, egg capsule Trentepohlia.
Step (4): start completion fluorescence method chlorophyll a on-line computing model automatic cleaning function, and measure pure water blank value.
When pure water blank value is greater than 0.5 micrograms per litre, need to repeat automatic cleaning step.
Step (5): fluorescence method chlorophyll a on-line computing model pure water light transmittance values are checked, and adjusts pure water light transmittance and arrives
99% or more.
Step (6): actual water sample is measured with fluorescence method chlorophyll a on-line computing model, obtains different genera frond
Chlorophyll a component and the total numerical quantity of chlorophyll a (being shown in Table 3).
Step (7): measuring obtained calibration factor 0.61 with step (2), measures to fluorescence method chlorophyll a on-line computing model
The detection data of corresponding advantage class (green algae) is calibrated in value, recalculates on-line checking value, it is green to obtain final leaf
The relative deviation of plain a detection numerical value and traditional experiment room detection numerical value is reduced to 0.2% by 51.6%.
3 correction coefficient application example two of table
Embodiment 3
A kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, includes the following steps:
Step (1): according to fluorescence method chlorophyll a on-line computing model it is parameter-embedded in classification to frond, four kinds of preparation is not
Generic pure strain sample several, comprising: Chlorococcum, the aphanizomenon flos aquae of " blue algae "；The common bead of " green algae "
Algae, medium-sized Euglena；The more dinoflagellates of shank Zao, Parapet shape of " brown algae " mutation such as not；The hidden algae of " hidden algae ".
Step (2): Bu Tong pure algae is measured respectively with fluorescence method chlorophyll a on-line computing model with traditional experiment room detection method
The chlorophyll a value of kind sample, and the ratio between distinct methods chlorophyll a measured value is calculated separately, as fluorescence method chlorophyll a
The calibration factor (being shown in Table 1) of on-line computing model frond chlorophyll a of all categories.
Step (3): to institute's test sample this progress frond enrichment, algae constitutes situation in sample after microscopy enrichment, determines advantage
Algae is Euglena.
Step (4): start completion fluorescence method chlorophyll a on-line computing model automatic cleaning function, and measure pure water blank value.
When pure water blank value is greater than 0.5 micrograms per litre, need to repeat automatic cleaning step.
Step (5): fluorescence method chlorophyll a on-line computing model pure water light transmittance values are checked, and adjusts pure water light transmittance and arrives
99% or more.
Step (6): actual water sample is measured with fluorescence method chlorophyll a on-line computing model, obtains different genera frond
Chlorophyll a component and the total numerical quantity of chlorophyll a (being shown in Table 4).
Step (7): measuring obtained calibration factor 2.63 with step (2), measures to fluorescence method chlorophyll a on-line computing model
The detection data of corresponding advantage class (green algae) is calibrated in value, recalculates on-line checking value, it is green to obtain final leaf
The relative deviation of plain a detection numerical value and traditional experiment room detection numerical value is reduced to -14.9% by -50.6%.
4 correction coefficient application example three of table
Above-described embodiment is only used for illustrating inventive concept of the invention, rather than the restriction to rights protection of the present invention,
It is all to be made a non-material change to the present invention using this design, protection scope of the present invention should all be fallen into.
Claims (2)
1. a kind of calibration method applied to fluorescence method chlorophyll a on-line computing model, it is characterised in that include the following steps:
Step (1): according to fluorescence method chlorophyll a on-line computing model it is parameter-embedded in classification to frond, prepare four kinds of inhomogeneities
Other pure strain sample several；
Step (2): different pure strain samples are measured respectively with traditional experiment room detection method and fluorescence method chlorophyll a on-line computing model
This chlorophyll a value, and the ratio between distinct methods chlorophyll a measured value is calculated separately, it is online as fluorescence method chlorophyll a
The calibration factor of monitor frond chlorophyll a of all categories；
Step (3): to institute's test sample this progress frond enrichment, algae constitutes situation in sample after microscopy enrichment, determines advantage algae；
Step (4): start completion fluorescence method chlorophyll a on-line computing model automatic cleaning function, and measure pure water blank value；According to
Pure water blank value size determines the need for repeating automatic cleaning step；
Step (5): checking fluorescence method chlorophyll a on-line computing model pure water light transmittance values, and adjust pure water light transmittance to 99% with
On；
Step (6): being measured actual water sample with fluorescence method chlorophyll a on-line computing model, and it is green to obtain different genera frond leaf
Plain a component and the total numerical quantity of chlorophyll a；
Step (7): measuring obtained calibration factor with step (2), to corresponding in fluorescence method chlorophyll a on-line computing model measured value
The detection data of advantage class is calibrated, and on-line checking value is recalculated, and obtains final chlorophyll a detection numerical value.
2. a kind of calibration method applied to fluorescence method chlorophyll a on-line computing model as described in claim 1, feature exist
In: in the step (4), when pure water blank value is greater than 0.5 micrograms per litre, need to repeat automatic cleaning step.
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