CN118211879A - Production process of low-temperature protease - Google Patents
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- 108091005804 Peptidases Proteins 0.000 title claims abstract description 59
- 239000004365 Protease Substances 0.000 title claims abstract description 59
- 102100037486 Reverse transcriptase/ribonuclease H Human genes 0.000 title claims abstract description 59
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 38
- 238000000855 fermentation Methods 0.000 claims abstract description 236
- 230000004151 fermentation Effects 0.000 claims abstract description 236
- 230000002159 abnormal effect Effects 0.000 claims abstract description 227
- 230000005856 abnormality Effects 0.000 claims abstract description 32
- 230000000694 effects Effects 0.000 claims abstract description 24
- 238000009423 ventilation Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000012886 linear function Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 20
- 238000005457 optimization Methods 0.000 abstract description 4
- 239000007788 liquid Substances 0.000 description 4
- 102000004190 Enzymes Human genes 0.000 description 3
- 108090000790 Enzymes Proteins 0.000 description 3
- 238000012258 culturing Methods 0.000 description 3
- 239000001963 growth medium Substances 0.000 description 3
- 244000005700 microbiome Species 0.000 description 3
- 238000011218 seed culture Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 238000000108 ultra-filtration Methods 0.000 description 2
- 241000194108 Bacillus licheniformis Species 0.000 description 1
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 241001052560 Thallis Species 0.000 description 1
- 238000001042 affinity chromatography Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 238000005119 centrifugation Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000002255 enzymatic effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910001453 nickel ion Inorganic materials 0.000 description 1
- 235000019362 perlite Nutrition 0.000 description 1
- 239000010451 perlite Substances 0.000 description 1
- 238000000053 physical method Methods 0.000 description 1
- 238000005185 salting out Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000001694 spray drying Methods 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
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Abstract
The invention belongs to the technical field of protease production, and provides a production process of low-temperature protease, which comprises the following steps: based on the analysis of the activity data of the protease, obtaining a fermentation abnormal value, judging whether the fermentation quality is qualified or not, if not, based on the analysis of the temperature data, obtaining an interference influence value, judging whether the temperature abnormality is the cause of unqualified fermentation quality or not, improving the production quality of the protease, and facilitating the optimization of the production process; based on the reason that the temperature abnormality is the unqualified fermentation quality, based on analyzing ventilation data and temperature data during fermentation, a correlation value is obtained, whether the wind speed has a proportional influence relationship on the temperature is judged, if so, a fitting linear function equation is obtained based on fitting ventilation data at different temperatures in the fermentation time, a wind speed regulation and control range is obtained based on the fitting linear function equation, and the production efficiency of protease is improved while the production quality of the protease is improved.
Description
Technical Field
The invention belongs to the technical field of protease production, and particularly relates to a production process of low-temperature protease.
Background
With the continuous development of biotechnology, low-temperature protease can play a role in high-efficiency catalysis at lower temperature due to the unique enzymatic characteristics, so that energy consumption and equipment investment are reduced, and production efficiency is improved, and more attention is paid. However, the existing low-temperature protease production process still has the problems of low production quality, low production efficiency and the like, and needs to be improved.
One chinese patent with publication No. CN102911925B discloses a protease production process, which comprises: seed culture: inoculating bacillus licheniformis into a slant culture medium, culturing for 24-30 h at 30-37 ℃ under aerobic conditions, inoculating the cultured slant strain into a seed culture medium, and culturing for 32-37 h at a constant temperature of 30-37 ℃ by a shaking table; inoculating the cultured strain into first-stage seed culture, and culturing for 9.5-13 h at 31-38deg.C; 2) ; fermentation: inoculating the cultured first-stage seeds into fermentation culture for 31-35 h based on 32-38 ℃; 3) ; extracting protease: transferring the cultured fermentation broth into a recovery tank, adding diatomite and perlite into the recovery tank, stirring uniformly, performing solid-liquid separation, ultrafiltration membrane ultrafiltration treatment and spray drying.
In the prior art, the analysis of the fermentation quality of the solution in the protease production process is lacking, namely the analysis of the activity of the protease in the fermentation process is lacking, and the analysis of the factors influencing the fermentation in the production process is also lacking, so that the influence factors in the production process cannot be determined while the production quality of the protease cannot be ensured, and the optimization of the production process is inconvenient.
Therefore, the invention provides a production process of low-temperature protease.
Disclosure of Invention
In order to overcome the deficiencies of the prior art, at least one technical problem presented in the background art is solved.
According to the invention, the fermentation quality is analyzed and judged, so that the production quality of the protease can be improved, in addition, the influence of temperature abnormality on the fermentation quality is analyzed, whether the temperature abnormality is a cause of unqualified fermentation quality or not can be determined, the optimization of a protease production process is facilitated, and whether a proportional influence relationship exists between wind speed and temperature in fermentation time is analyzed, if the proportional influence relationship exists, a wind speed regulation and control range is obtained according to a fitting linear function equation between the wind speed and the temperature, so that the control of the protease production temperature condition is realized, the further optimization of the protease production process is facilitated, and the production efficiency of the protease is improved while the protease production quality is improved.
The technical scheme adopted for solving the technical problems is as follows: a process for the production of a low temperature protease comprising:
Acquiring activity data of protease in fermentation time, wherein the activity data comprise activity values, obtaining fermentation abnormal values FJ based on analysis of the activity data, and judging whether fermentation quality is qualified or not according to the fermentation abnormal values FJ;
Acquiring temperature data in fermentation time based on unqualified fermentation quality, wherein the temperature data comprises a temperature value, analyzing the temperature data to obtain an abnormal temperature ratio and a temperature abnormal period, analyzing the temperature abnormal period and the fermentation abnormal period to obtain a coincidence time length ratio, processing and outputting to obtain an interference influence value GR according to the abnormal temperature ratio and the coincidence time length ratio, and comparing the interference influence value GR with an interference influence threshold;
if the disturbance influence value GR is larger than or equal to the disturbance influence threshold value, the temperature abnormality is the cause of unqualified fermentation quality;
If the disturbance variable GR is smaller than the disturbance variable threshold, it indicates that the abnormal temperature is not a cause of failure in fermentation quality.
The invention further adopts the technical scheme that: the acquisition mode of the fermentation abnormal value FJ is as follows:
Comparing the vitality value with the vitality threshold value, generating a fermentation normal signal if the vitality value is greater than or equal to the vitality threshold value, and generating a fermentation abnormal signal if the vitality value is less than the vitality threshold value;
Acquiring time data and abnormality degree data of the fermentation abnormal signal, wherein the time data comprises an average duration ratio of the fermentation abnormal signal, and the abnormality degree data comprises an abnormality degree ratio of the fermentation abnormal signal;
and multiplying the average duration ratio of the fermentation abnormal signal and the abnormal degree ratio to obtain a fermentation abnormal value FJ.
The invention further adopts the technical scheme that: the average duration ratio of the fermentation abnormal signal is obtained by the following steps:
and in the calibration time, acquiring the time period of each occurrence of the fermentation abnormal signal, marking the time period as a fermentation abnormal time period, extracting the time lengths of all the fermentation abnormal time periods, summing the time periods to obtain the fermentation abnormal total time, counting the occurrence times of the fermentation abnormal signal, carrying out ratio processing on the fermentation abnormal total time and the occurrence times of the fermentation abnormal signal to obtain the average duration of the fermentation abnormal signal, carrying out ratio processing on the average duration of the fermentation abnormal signal and the calibration time to obtain the average duration duty ratio of the fermentation abnormal signal.
The invention further adopts the technical scheme that: the abnormal degree ratio of the fermentation abnormal signals is obtained by the following steps:
Obtaining all vitality values in a fermentation abnormal period, summing the vitality values to obtain a mean value of the vitality values in the fermentation abnormal period, summing the vitality values in the fermentation abnormal period to obtain a mean value of the vitality values in the fermentation abnormal period, performing difference processing on the mean value of the vitality values in the fermentation abnormal period and the vitality threshold value, taking absolute values of the difference values to obtain a mean value difference of the vitality values in the fermentation abnormal period, and performing ratio processing on the mean value difference of the vitality values in the fermentation abnormal period and the vitality threshold value to obtain an abnormality degree ratio of the fermentation abnormal signal.
The invention further adopts the technical scheme that: comparing the abnormal fermentation value FJ with an abnormal fermentation threshold value, and judging whether the fermentation quality is qualified or not according to a comparison result;
Specifically, a fermentation abnormality threshold value is preset as FJY;
If the abnormal fermentation value FJ is greater than or equal to the abnormal fermentation threshold value FJY, the fermentation quality is not qualified;
If the abnormal fermentation value FJ is smaller than the abnormal fermentation threshold value FJY, the fermentation quality is qualified.
The invention further adopts the technical scheme that: the interference influence value GR is obtained by carrying out product processing on an abnormal temperature ratio and a coincidence time length ratio;
the acquisition mode of the overlapping time length ratio is as follows:
Marking the time period of the temperature abnormal signal as a temperature abnormal time period, acquiring all coincidence time periods between all the temperature abnormal time periods and all the fermentation abnormal time periods, extracting the time length of all the coincidence time periods, and carrying out ratio processing on the time length of all the coincidence time periods and the fermentation time to obtain the coincidence time length ratio.
The invention further adopts the technical scheme that: the abnormal temperature ratio is obtained by the following steps:
comparing the temperature value with a temperature standard range, generating a temperature normal signal if the temperature value is in the temperature standard range, generating a temperature abnormal signal if the temperature value is not in the temperature standard range, and marking the temperature value corresponding to the temperature abnormal signal as an abnormal temperature value;
If the abnormal temperature value is higher than the maximum temperature standard value in the temperature standard range, marking the abnormal temperature value as an abnormal high temperature value, and if the abnormal temperature value is lower than the minimum temperature standard value in the temperature standard range, marking the abnormal temperature as an abnormal low temperature value;
Dividing all abnormal high temperature values by fermentation time after summation in fermentation time to obtain an abnormal high temperature average value, dividing all abnormal low temperature values by fermentation time after summation to obtain an abnormal low temperature average value, carrying out ratio processing on the abnormal high temperature average value and a maximum temperature standard value to obtain an abnormal high temperature average value ratio, and carrying out ratio processing on the abnormal low temperature average value and a minimum temperature standard value to obtain an abnormal low temperature average value ratio;
and summing the abnormal high temperature average value ratio and the abnormal low temperature average value ratio to obtain the abnormal temperature ratio.
The invention further adopts the technical scheme that: further comprises:
Based on the reason that the abnormal temperature is the unqualified fermentation quality, ventilation data in the fermentation time are obtained, wherein the ventilation data comprise wind speed values, the correlation value GL is obtained based on analysis of the ventilation data and the temperature data in the fermentation, the correlation value GL is compared with a correlation threshold value, and whether the wind speed has a proportional influence relationship on the temperature is judged according to a comparison result;
based on the proportional influence relationship of wind speed on temperature, fitting ventilation data at different temperatures in fermentation time to obtain a fitting linear function equation, and acquiring a wind speed regulation range based on the fitting linear function equation.
The invention further adopts the technical scheme that: the related value GL is obtained in the following manner:
Dividing fermentation time into a plurality of continuous and equal time subunits, obtaining a maximum temperature value and a minimum temperature value in the time subunits, and summing the maximum temperature value and the minimum temperature value to obtain an average temperature value in the time subunits;
obtaining a maximum wind speed value and a minimum wind speed value in a time subunit, summing the maximum wind speed value and the minimum wind speed value to obtain an average wind speed value in the time subunit, multiplying the average temperature value and the average wind speed value in the time subunit to obtain an influence relation representation value, and summing the influence relation representation values corresponding to all the time subunits to obtain an influence relation representation mean;
Performing difference processing on the influence relation representation value and the influence relation representation mean value corresponding to the time subunit, taking an absolute value of the difference value to obtain an influence relation representation deviation value, comparing the influence relation representation deviation value with an influence relation representation deviation threshold, marking the time subunit as an abnormal time subunit if the influence relation representation deviation value is greater than or equal to the influence relation representation deviation threshold, and marking the time subunit as a normal time subunit if the influence relation representation deviation value is smaller than the influence relation representation deviation threshold;
counting the number of the normal time subunits, and carrying out ratio processing on the number of the normal time subunits and the number of all the time subunits to obtain a correlation value GL.
The invention further adopts the technical scheme that: the wind speed regulation and control range is obtained by the following steps:
Marking the average wind speed value and the average temperature value in different time subunits in an X-Y two-dimensional coordinate system, and fitting the average wind speed value marking points by using a least square method to obtain a fitting straight line and a fitting function equation;
Substituting the maximum temperature value in the temperature standard range into a fitting function equation to obtain a first regulation and control wind speed value. Substituting the minimum temperature value in the temperature standard range into a fitting function equation to obtain a second regulation and control wind speed value;
The interval range between the first regulation wind speed value and the second regulation wind speed is the wind speed regulation range.
The beneficial effects of the invention are as follows:
1. The method comprises the steps of analyzing activity data of protease to obtain a fermentation abnormal value FJ, comparing the fermentation abnormal value FJ with a fermentation abnormal threshold value, judging whether fermentation quality is qualified according to a comparison result, acquiring temperature data in fermentation time based on unqualified fermentation quality, analyzing the temperature data to obtain an abnormal temperature ratio and a temperature abnormal period, analyzing the temperature abnormal period and the fermentation abnormal period to obtain a coincidence time length ratio, processing and outputting an interference influence value GR according to the abnormal temperature ratio and the coincidence time length ratio, comparing the interference influence value GR with an interference influence threshold value, and judging whether the temperature abnormality is a cause of unqualified fermentation quality according to a comparison result.
2. According to the invention, based on the reason that temperature abnormality is the unqualified cause of fermentation quality, ventilation data in fermentation time is obtained, based on analysis of the ventilation data and temperature data in fermentation, a correlation value GL is obtained, the correlation value GL is compared with a correlation threshold, whether the wind speed has a proportional influence relationship on temperature or not is judged according to a comparison result, based on the proportional influence relationship on temperature of the wind speed, fitting treatment is carried out on ventilation data at different temperatures in fermentation time, a fitting linear function equation is obtained, and based on the fitting linear function equation, whether a proportional influence relationship exists between the wind speed and the temperature in fermentation time is obtained.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart showing a process for producing a low-temperature protease according to example 1 of the present invention;
FIG. 2 is a flow chart showing a process for producing a low-temperature protease according to example 2 of the present invention;
FIG. 3 is a flow chart showing a process for producing a low-temperature protease according to example 3 of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Example 1
As shown in fig. 1, the production process of the low-temperature protease according to the embodiment of the invention comprises the following steps:
S1: selecting a psychrophilic microorganism with low-temperature growth and enzyme production capability, and performing low-temperature domestication step by step, wherein the domestication temperature is from high to low, and is from 25 ℃ to 22 ℃ to 20 ℃ to 18 ℃ to 16 ℃ to 14 ℃, so that the psychrophilic microorganism grows well in a low-temperature environment;
s2: inoculating the domesticated psychrophilic microorganism strain into a culture medium, and performing liquid fermentation;
S3: collecting fermentation liquor, and removing solid impurities such as thalli, cell fragments and the like by physical methods such as centrifugation, filtration and the like;
s4: a salting-out method is adopted to initially extract crude enzyme liquid from the treated fermentation liquid;
s5: and purifying the crude enzyme solution by utilizing a nickel ion affinity chromatography technology to obtain the high-purity low-temperature protease.
Example 2
As shown in fig. 2, based on the embodiment 1, the production process of the low-temperature protease according to the embodiment of the invention includes:
step one: acquiring activity data of protease in fermentation time, wherein the activity data comprise activity values, and obtaining fermentation abnormal values FJ based on analysis of the activity data;
in some embodiments, during the fermentation time, detecting the protease in the solution during the fermentation by a biosensor to obtain a vitality value;
illustratively, the fermentation anomaly value FJ is obtained by:
Comparing the vitality value with the vitality threshold value, generating a fermentation normal signal if the vitality value is greater than or equal to the vitality threshold value, and generating a fermentation abnormal signal if the vitality value is less than the vitality threshold value;
Acquiring time data and abnormality degree data of the fermentation abnormal signal, wherein the time data comprises an average duration ratio of the fermentation abnormal signal, and the abnormality degree data comprises an abnormality degree ratio of the fermentation abnormal signal;
Multiplying the average duration ratio of the fermentation abnormal signal and the abnormal degree ratio to obtain a fermentation abnormal value FJ;
The fermentation anomaly value FJ is the degree of protease activity anomaly in the fermentation anomaly time combined with the time of fermentation anomaly, and reflects the overall fermentation quality of solution fermentation;
illustratively, the average duration ratio of the fermentation anomaly signal is obtained by:
In the calibration time, obtaining the time period of each occurrence of the fermentation abnormal signal, marking the time period as a fermentation abnormal time period, extracting the time lengths of all the fermentation abnormal time periods, summing the time periods to obtain the fermentation abnormal total time, counting the occurrence times of the fermentation abnormal signal, carrying out ratio processing on the fermentation abnormal total time and the occurrence times of the fermentation abnormal signal to obtain the average duration of the fermentation abnormal signal, carrying out ratio processing on the average duration of the fermentation abnormal signal and the calibration time to obtain the average duration duty ratio of the fermentation abnormal signal;
exemplary, the abnormal degree ratio of the fermentation abnormal signal is obtained by:
Obtaining all vitality values in a fermentation abnormal period, summing the vitality values to obtain a vitality average value in the fermentation abnormal period, summing the vitality average values in all the fermentation abnormal period to obtain an average vitality average value in the fermentation abnormal period, performing difference processing on the average vitality average value in the fermentation abnormal period and a vitality threshold value, taking absolute values of the difference values to obtain an average vitality average value difference in the fermentation abnormal period, and performing ratio processing on the average vitality average value difference in the fermentation abnormal period and the vitality threshold value to obtain an abnormal degree ratio of a fermentation abnormal signal;
step two: comparing the abnormal fermentation value FJ with an abnormal fermentation threshold value, and judging whether the fermentation quality is qualified or not according to a comparison result;
Specifically, a fermentation abnormality threshold value is preset as FJY;
If the abnormal fermentation value FJ is greater than or equal to the abnormal fermentation threshold value FJY, the fermentation quality is not qualified;
If the abnormal fermentation value FJ is smaller than the abnormal fermentation threshold value FJY, the fermentation quality is qualified;
If the fermentation quality is not qualified, it means that the time of low protease activity may be longer or the protease activity is lower in the fermentation time, the reason for influencing the protease activity in the fermentation process needs to be analyzed, if the fermentation quality is qualified, the phenomenon of low protease activity is not existed or obvious in the fermentation time, and the duration of low protease activity is extremely short, and it means that the whole protease activity accords with the standard in the fermentation, and the next operation can be performed in the production;
Step three: acquiring temperature data in fermentation time based on unqualified fermentation quality, wherein the temperature data comprises a temperature value, analyzing the temperature data to obtain an abnormal temperature ratio and a temperature abnormal period, analyzing the temperature abnormal period and the fermentation abnormal period to obtain a coincidence time length ratio, processing and outputting to obtain an interference influence value GR according to the abnormal temperature ratio and the coincidence time length ratio, comparing the interference influence value GR with an interference influence threshold value, and judging whether the temperature abnormality is a cause of unqualified fermentation quality according to a comparison result;
In some embodiments, the temperature sensor detects the temperature during solution fermentation, so as to obtain a temperature value;
specifically, the interference influence value GR is obtained by performing product processing on an abnormal temperature ratio and a coincidence time length ratio;
exemplary, the abnormal temperature ratio is obtained by:
comparing the temperature value with a temperature standard range, generating a temperature normal signal if the temperature value is in the temperature standard range, generating a temperature abnormal signal if the temperature value is not in the temperature standard range, and marking the temperature value corresponding to the temperature abnormal signal as an abnormal temperature value;
If the abnormal temperature value is higher than the maximum temperature standard value in the temperature standard range, marking the abnormal temperature value as an abnormal high temperature value, and if the abnormal temperature value is lower than the minimum temperature standard value in the temperature standard range, marking the abnormal temperature as an abnormal low temperature value;
dividing all abnormal high temperature values after summation by fermentation time in fermentation time to obtain an abnormal high temperature average value, and dividing all abnormal low temperature values after summation by fermentation time to obtain an abnormal low temperature average value;
carrying out ratio processing on the abnormal high temperature average value and the maximum temperature standard value to obtain an abnormal high temperature average value ratio;
Performing ratio processing on the abnormal low-temperature average value and the minimum temperature standard value to obtain an abnormal low-temperature average value ratio;
summing the abnormal high temperature average value ratio and the abnormal low temperature average value ratio to obtain an abnormal temperature ratio;
exemplary, the overlapping time length ratio is obtained by:
Marking the time period of the temperature abnormal signal as a temperature abnormal time period, acquiring all coincidence time periods between all temperature abnormal time periods and all fermentation abnormal time periods, extracting the time length of all coincidence time periods, and carrying out ratio processing on the time length of all coincidence time periods and the fermentation time to obtain the coincidence time length ratio;
The interference influence value GR is analyzed by combining the high difficulty of temperature abnormality planning in the fermentation time and the coincidence degree between the temperature abnormality time and the fermentation abnormality time, and reflects the influence correlation degree of the temperature abnormality on the fermentation abnormality, so that whether the temperature abnormality is the cause of unqualified fermentation quality or not is judged by the interference influence value GR;
comparing the interference influence value GR with an interference influence threshold, wherein the specific comparison process is as follows:
Presetting an interference influence threshold as GRY;
if the disturbance influence value GR is larger than or equal to the disturbance influence threshold GRY, the temperature abnormality is the reason for unqualified fermentation quality;
if the interference influence value GR is smaller than the interference influence threshold GRY, the temperature abnormality is not the cause of unqualified fermentation quality;
The technical scheme of the embodiment of the invention is as follows: based on analyzing the activity data of the protease to obtain a fermentation abnormal value FJ, comparing the fermentation abnormal value FJ with a fermentation abnormal threshold value, judging whether the fermentation quality is qualified or not according to a comparison result, based on unqualified fermentation quality, acquiring temperature data in fermentation time, based on analyzing the temperature data to obtain an abnormal temperature ratio and a temperature abnormal period, analyzing the temperature abnormal period and the fermentation abnormal period to obtain a coincidence time length ratio, processing and outputting to obtain an interference influence value GR according to the abnormal temperature ratio and the coincidence time length ratio, and comparing the interference influence value GR with an interference influence threshold value.
Example 3
As shown in fig. 3, based on the embodiment 2, the production process of the low-temperature protease according to the embodiment of the invention includes:
step four: based on the reason that the abnormal temperature is the unqualified fermentation quality, ventilation data in the fermentation time are obtained, wherein the ventilation data comprise wind speed values, the correlation value GL is obtained based on analysis of the ventilation data and the temperature data in the fermentation, the correlation value GL is compared with a correlation threshold value, and whether the wind speed has a proportional influence relationship on the temperature is judged according to a comparison result;
The proportional influence relationship indicates that the relative change between the wind speed and the temperature is proportional, for example, when the temperature is 40 ℃, the corresponding wind speed is 20 m/s, when the temperature is 20 ℃, the corresponding wind speed is 40 m/s, when the temperature is 80 ℃, the corresponding wind speed is 80 m/s,
In some embodiments, the wind speed is detected by a wind speed sensor in the fermentation time, so that a wind speed value is obtained;
specifically, the fermentation time is divided into a plurality of continuous and equal time subunits, a maximum temperature value and a minimum temperature value in the time subunits are obtained, and the maximum temperature value and the minimum temperature value in the time subunits are summed to obtain an average temperature value in the time subunits;
obtaining a maximum wind speed value and a minimum wind speed value in the time subunit, and summing the maximum wind speed value and the minimum wind speed value to obtain an average wind speed value in the time subunit;
Performing product processing on the average temperature value and the average wind speed value in the time subunit to obtain an influence relation representation value;
Summing the influence relation representation values corresponding to all the time subunits to obtain an average value, and obtaining an influence relation representation average value;
Performing difference processing on the influence relation representation value and the influence relation representation mean value corresponding to the time subunit, taking an absolute value of the difference value to obtain an influence relation representation deviation value, comparing the influence relation representation deviation value with an influence relation representation deviation threshold, marking the time subunit as an abnormal time subunit if the influence relation representation deviation value is greater than or equal to the influence relation representation deviation threshold, and marking the time subunit as a normal time subunit if the influence relation representation deviation value is smaller than the influence relation representation deviation threshold;
Counting the number of the normal time subunits, and carrying out ratio processing on the number of the normal time subunits and the number of all the time subunits to obtain a correlation value GL;
It should be noted that, the correlation value GL is obtained through the number analysis of the normal time subunits, and the larger the number of the normal time subunits is, the larger the correlation value is, wherein the larger the number of the normal time subunits is, the more the influence relationship representation mean values corresponding to the more time subunits are approximately the same, and the more the influence relationship representation mean values corresponding to the more time subunits are approximately the same, which can reflect that there is a correlation between the temperature and the wind speed, for example, the correlation is: the temperature is reduced while the wind speed is increased, and the temperature is increased while the wind speed is reduced;
the correlation value GL is compared with the correlation threshold value, and the specific comparison process is as follows:
Presetting an association threshold as GLY;
if the correlation value GL is larger than or equal to the correlation threshold GLY, the relationship of the proportional influence of the wind speed on the temperature is shown;
If the correlation value GL is smaller than the correlation threshold GLY, the fact that the wind speed has no proportional influence relation on the temperature is indicated;
Step five: based on the proportional influence relationship of wind speed on temperature, fitting ventilation data at different temperatures in fermentation time to obtain a fitting linear function equation, and acquiring a wind speed regulation range based on the fitting linear function equation;
Specifically, marking the average wind speed value and the average temperature value in different time subunits in an X-Y two-dimensional coordinate system, wherein the X axis represents the average temperature value and the Y axis represents the average wind speed value;
Fitting the average wind speed value mark points by using a least square method to obtain a fitting straight line and a fitting function equation, wherein the fitting function equation is as follows: y=kx+b, where k represents the slope of the fitted line, and b represents the intercept of the fitted line to the Y axis;
substituting the maximum temperature value in the temperature standard range into a fitting function equation to obtain a first regulation and control wind speed value;
Substituting the minimum temperature value in the temperature standard range into a fitting function equation to obtain a second regulation and control wind speed value;
The interval range between the first regulation wind speed value and the second regulation wind speed is a wind speed regulation range;
When the fermentation temperature reaches the maximum temperature value in the temperature standard range in the fermentation time, the temperature rise can be controlled according to the wind speed regulation range, and when the fermentation temperature reaches the minimum temperature value in the temperature standard range in the fermentation time, the temperature drop can be controlled according to the wind speed regulation range;
The technical scheme of the embodiment of the invention is as follows: based on the reason that temperature abnormality is unqualified, obtain ventilation data in fermentation time, based on analyzing ventilation data and temperature data in fermentation, obtain the association value GL, compare the association value GL with the association threshold, judge whether there is proportional influence relation to temperature according to the comparison result, there is proportional influence relation to temperature based on the wind speed, based on carrying out fitting treatment to ventilation data in different temperatures in fermentation time, obtain the fit straight line function equation, obtain wind speed regulation and control range based on the fit straight line function equation, whether there is proportional influence relation between wind speed and temperature in fermentation time is analyzed, if there is, obtain wind speed regulation and control range according to the fit straight line function equation between wind speed and temperature, realize the control to protease production temperature condition, further optimize protease production technology afterwards, thereby improve protease production quality while improving protease production efficiency.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A production process of low-temperature protease is characterized in that: comprising the following steps:
Acquiring activity data of protease in fermentation time, wherein the activity data comprise activity values, obtaining fermentation abnormal values FJ based on analysis of the activity data, and judging whether fermentation quality is qualified or not according to the fermentation abnormal values FJ;
Acquiring temperature data in fermentation time based on unqualified fermentation quality, wherein the temperature data comprises a temperature value, analyzing the temperature data to obtain an abnormal temperature ratio and a temperature abnormal period, analyzing the temperature abnormal period and the fermentation abnormal period to obtain a coincidence time length ratio, processing and outputting to obtain an interference influence value GR according to the abnormal temperature ratio and the coincidence time length ratio, and comparing the interference influence value GR with an interference influence threshold;
if the disturbance influence value GR is larger than or equal to the disturbance influence threshold value, the temperature abnormality is the cause of unqualified fermentation quality;
If the disturbance variable GR is smaller than the disturbance variable threshold, it indicates that the abnormal temperature is not a cause of failure in fermentation quality.
2. The process for producing a low-temperature protease according to claim 1, wherein: the acquisition mode of the fermentation abnormal value FJ is as follows:
Comparing the vitality value with the vitality threshold value, generating a fermentation normal signal if the vitality value is greater than or equal to the vitality threshold value, and generating a fermentation abnormal signal if the vitality value is less than the vitality threshold value;
Acquiring time data and abnormality degree data of the fermentation abnormal signal, wherein the time data comprises an average duration ratio of the fermentation abnormal signal, and the abnormality degree data comprises an abnormality degree ratio of the fermentation abnormal signal;
and multiplying the average duration ratio of the fermentation abnormal signal and the abnormal degree ratio to obtain a fermentation abnormal value FJ.
3. The process for producing a low-temperature protease according to claim 2, wherein: the average duration ratio of the fermentation abnormal signal is obtained by the following steps:
and in the calibration time, acquiring the time period of each occurrence of the fermentation abnormal signal, marking the time period as a fermentation abnormal time period, extracting the time lengths of all the fermentation abnormal time periods, summing the time periods to obtain the fermentation abnormal total time, counting the occurrence times of the fermentation abnormal signal, carrying out ratio processing on the fermentation abnormal total time and the occurrence times of the fermentation abnormal signal to obtain the average duration of the fermentation abnormal signal, carrying out ratio processing on the average duration of the fermentation abnormal signal and the calibration time to obtain the average duration duty ratio of the fermentation abnormal signal.
4. The process for producing a low-temperature protease according to claim 2, wherein: the abnormal degree ratio of the fermentation abnormal signals is obtained by the following steps:
Obtaining all vitality values in a fermentation abnormal period, summing the vitality values to obtain a mean value of the vitality values in the fermentation abnormal period, summing the vitality values in the fermentation abnormal period to obtain a mean value of the vitality values in the fermentation abnormal period, performing difference processing on the mean value of the vitality values in the fermentation abnormal period and the vitality threshold value, taking absolute values of the difference values to obtain a mean value difference of the vitality values in the fermentation abnormal period, and performing ratio processing on the mean value difference of the vitality values in the fermentation abnormal period and the vitality threshold value to obtain an abnormality degree ratio of the fermentation abnormal signal.
5. The process for producing a low-temperature protease according to claim 2, wherein: comparing the abnormal fermentation value FJ with an abnormal fermentation threshold value, and judging whether the fermentation quality is qualified or not according to a comparison result;
Specifically, a fermentation abnormality threshold value is preset as FJY;
If the abnormal fermentation value FJ is greater than or equal to the abnormal fermentation threshold value FJY, the fermentation quality is not qualified;
If the abnormal fermentation value FJ is smaller than the abnormal fermentation threshold value FJY, the fermentation quality is qualified.
6. The process for producing a low-temperature protease according to claim 1, wherein: the interference influence value GR is obtained by carrying out product processing on an abnormal temperature ratio and a coincidence time length ratio;
the acquisition mode of the overlapping time length ratio is as follows:
Marking the time period of the temperature abnormal signal as a temperature abnormal time period, acquiring all coincidence time periods between all the temperature abnormal time periods and all the fermentation abnormal time periods, extracting the time length of all the coincidence time periods, and carrying out ratio processing on the time length of all the coincidence time periods and the fermentation time to obtain the coincidence time length ratio.
7. The process for producing a low-temperature protease according to claim 6, wherein: the abnormal temperature ratio is obtained by the following steps:
comparing the temperature value with a temperature standard range, generating a temperature normal signal if the temperature value is in the temperature standard range, generating a temperature abnormal signal if the temperature value is not in the temperature standard range, and marking the temperature value corresponding to the temperature abnormal signal as an abnormal temperature value;
If the abnormal temperature value is higher than the maximum temperature standard value in the temperature standard range, marking the abnormal temperature value as an abnormal high temperature value, and if the abnormal temperature value is lower than the minimum temperature standard value in the temperature standard range, marking the abnormal temperature as an abnormal low temperature value;
Dividing all abnormal high temperature values by fermentation time after summation in fermentation time to obtain an abnormal high temperature average value, dividing all abnormal low temperature values by fermentation time after summation to obtain an abnormal low temperature average value, carrying out ratio processing on the abnormal high temperature average value and a maximum temperature standard value to obtain an abnormal high temperature average value ratio, and carrying out ratio processing on the abnormal low temperature average value and a minimum temperature standard value to obtain an abnormal low temperature average value ratio;
and summing the abnormal high temperature average value ratio and the abnormal low temperature average value ratio to obtain the abnormal temperature ratio.
8. The process for producing a low-temperature protease according to claim 1, wherein: further comprises:
Based on the reason that the abnormal temperature is the unqualified fermentation quality, ventilation data in the fermentation time are obtained, wherein the ventilation data comprise wind speed values, the correlation value GL is obtained based on analysis of the ventilation data and the temperature data in the fermentation, the correlation value GL is compared with a correlation threshold value, and whether the wind speed has a proportional influence relationship on the temperature is judged according to a comparison result;
based on the proportional influence relationship of wind speed on temperature, fitting ventilation data at different temperatures in fermentation time to obtain a fitting linear function equation, and acquiring a wind speed regulation range based on the fitting linear function equation.
9. The process for producing a low-temperature protease according to claim 8, wherein: the related value GL is obtained in the following manner:
Dividing fermentation time into a plurality of continuous and equal time subunits, obtaining a maximum temperature value and a minimum temperature value in the time subunits, and summing the maximum temperature value and the minimum temperature value to obtain an average temperature value in the time subunits;
obtaining a maximum wind speed value and a minimum wind speed value in a time subunit, summing the maximum wind speed value and the minimum wind speed value to obtain an average wind speed value in the time subunit, multiplying the average temperature value and the average wind speed value in the time subunit to obtain an influence relation representation value, and summing the influence relation representation values corresponding to all the time subunits to obtain an influence relation representation mean;
Performing difference processing on the influence relation representation value and the influence relation representation mean value corresponding to the time subunit, taking an absolute value of the difference value to obtain an influence relation representation deviation value, comparing the influence relation representation deviation value with an influence relation representation deviation threshold, marking the time subunit as an abnormal time subunit if the influence relation representation deviation value is greater than or equal to the influence relation representation deviation threshold, and marking the time subunit as a normal time subunit if the influence relation representation deviation value is smaller than the influence relation representation deviation threshold;
counting the number of the normal time subunits, and carrying out ratio processing on the number of the normal time subunits and the number of all the time subunits to obtain a correlation value GL.
10. The process for producing a low-temperature protease according to claim 8, wherein: the wind speed regulation and control range is obtained by the following steps:
Marking the average wind speed value and the average temperature value in different time subunits in an X-Y two-dimensional coordinate system, and fitting the average wind speed value marking points by using a least square method to obtain a fitting straight line and a fitting function equation;
Substituting the maximum temperature value in the temperature standard range into a fitting function equation to obtain a first regulation and control wind speed value, and substituting the minimum temperature value in the temperature standard range into the fitting function equation to obtain a second regulation and control wind speed value;
The interval range between the first regulation wind speed value and the second regulation wind speed is the wind speed regulation range.
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