CN117330622A - Identification method and application of internal and external source attributes of organic chemical composition in human body exhaled air particulate matters - Google Patents
Identification method and application of internal and external source attributes of organic chemical composition in human body exhaled air particulate matters Download PDFInfo
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Abstract
The invention belongs to the technical field of exposure histology in the aspect of environmental health, and discloses a method for identifying internal and external source attributes of organic chemical compositions in exhaled air particulate matters of a human body and application thereof. The method is characterized in that an on-line atmospheric particulate matter sample injection Charon system is used for combining with a proton transfer reaction time-of-flight mass spectrometer to collect and analyze organic chemical compositions and concentrations in the air particulate matters in the environment where the human body is exhaled and is located, a Bootstrap confidence interval method and a single sample t test method are combined to conduct analysis of concentration differences between the organic chemical compositions in the exhaled air and the ambient atmospheric particulate matters, and internal and external source attributes of the organic chemical compositions of the human body exhaled air particulate matters are identified. The method can accurately identify the internal and external source attributes of the organic chemical composition of the particles in the exhaled air of the human body, is simple and rapid to operate, noninvasive and high in accuracy, has wide application prospect, and can play an important role in the fields of medicine, environmental protection, disease diagnosis and the like.
Description
Technical Field
The invention belongs to the technical field of exposure histology in the aspect of environmental health, and particularly relates to a method for identifying internal and external properties of organic chemical compositions in exhaled air particulate matters of a human body and application thereof.
Background
Exhaled particulate matter from the human body contains a variety of complex organic chemical compositions, the sources of which include both endogenous and exogenous classes. Wherein the organic chemical composition of the particulate matter is mainly generated by the physiological metabolic process of human body, the metabolic products of microbial pathogens and substances generated in the pathological reaction process. These endogenous substances can be considered as potential biomarkers for assessing physical health and disease status. Exogenous substances are mainly derived from the environment outside the human body and enter the human body through inhalation and other exposure routes. Exogenous materials may be present in the exhaled breath particulate in an organic form after metabolism and conversion in the body. By analyzing the change degree of the organic chemical composition in the exhaled air particulate matters, the influence of exogenous substances on human bodies and the degree of environmental exposure can be known, the pollutant degree received by workers in the work of professionals can be judged, and corresponding protective measures can be taken to protect the health of the workers. Analysis of the organic chemical composition of exhaled breath particulates can provide important information about human health and disease status, as well as a powerful tool for assessing environmental exposure and pollution levels of professional work environments. By comprehensively analyzing the endogenous and exogenous organic components in the particles of the exhaled breath of the human body, the human body can be comprehensively understood, so that more meaningful data is provided for health evaluation and environmental monitoring. However, currently existing documents and patents are rarely developed for identifying the internal and external properties of organic chemical compositions in the particulate matters of the exhaled breath of a human body. Thus, developing methods that can provide significant technical support for the identification of human health and disease state metabolic processes, or health effects of environmental occupational exposure.
Disclosure of Invention
In order to solve the defects and shortcomings of the prior art, such as lack of a comprehensive, systematic and accurate screening method, and the primary aim is to provide a method for identifying the internal and external properties of the organic chemical composition in the exhaled air particulate matters of the human body, wherein the method has the advantages of proper sample size and simple process, and can rapidly identify the internal and external sources of the organic chemical composition in the particulate matters in the exhaled air of the human body within 10-30 min.
It is a further object of the present invention to provide the use of the above identification method.
The aim of the invention is achieved by the following technical scheme:
a method for identifying the internal and external properties of organic chemical composition in the particles of exhaled air of human body comprises the following steps:
s1, collecting a human body exhaled air sample of a target crowd by using a Teflon sampling bag;
s2, acquiring and analyzing organic chemical compositions in the human exhaled air particulate matters of a target crowd by using an online atmospheric particulate matter sample injection Charon system and a proton transfer reaction time-of-flight mass spectrometer;
s3, acquiring and analyzing organic chemical compositions in the environmental atmospheric particulate matters of the target crowd by using an online atmospheric particulate matter sample injection Charon system and a proton transfer reaction time-of-flight mass spectrometer;
s4, subtracting the concentration of the organic chemical composition in the exhaled air of the target crowd and the particulate matters in the environment, namely correcting the concentration of a certain organic chemical composition X in exhaled air particles of each person in the target crowd to be: c (C) x ＝C Human body concentration -C Environmental concentration When n persons exist in the target crowd, the data set formed by X in the target crowd exhaled gas particles is as follows: c (C) Total X ＝[C 1X 、C 2X 、……、C nX ]；
S5, evaluating the data set C in the step S4 through a Bootstrap confidence interval method Total X According to C Total X Mean and confidence interval upper and lower limit assessment C Total X Positive and negative levels of (a);
s6, evaluating the data set C in the step S4 through a single sample T test method Total X According to positive false rejection rate P<0.05 and evaluation C Total X Assuming the degree of difference between the T value and the 0 value, evaluate C Total X Positive and negative levels of (a);
s7, combining the C obtained in the step S5 Total X Positive and negative level and C obtained by S6 method Total X And (3) identifying the internal and external source attributes of the organic chemical composition X in the exhaled air particulate matters of the human body according to the positive and negative value levels.
Steps S5 and S6 are C evaluated differently Total X And the evaluation of the step S7 is to judge the internal and external source properties of the organic chemical composition X in the exhaled air particulate matters of the human body according to the fact that whether the results obtained in the steps S5 and S6 are the same or not.
Preferably, the specific steps for obtaining the organic chemical composition of the particulate matters in the exhaled breath of the human body in the step S1 are as follows: after the subject sits still for 30-60 min, blowing to a clean Teflon air bag, and fully closing the valve, wherein the Teflon air bag has the volume of 0.5-2L, the length of 20-30 cm and the width of 10-20 cm.
Preferably, the specific steps of obtaining the organic chemical composition of the particulate matter in the exhaled breath of the human body and the organic chemical composition of the particulate matter in the ambient atmosphere of the target crowd in the steps S2 and S3 are as follows: connecting collected Teflon bag valve with human body expired air sample or environmental atmospheric particulate matters of target crowd with sampling port of Charon system, high-effectively filtering gas phase organic gas by gas phase filter, enriching particulate matters by aerodynamic lens, heating organic chemical composition in particulate matters by thermal analyzer to convert into gas phase, loading into drift tube of proton transfer reaction flight time mass spectrometer, and ionizing organic chemical composition and ion source to generate H 3 O + Proton transfer reaction occurs to form protonated organic composition, which is then separated in a mass analyzer and detected by an ion detector, and the protonated organic composition is drawn into a mass spectrogram and transmitted to a computer display screen.
Further, the thermal desorption temperature of the Charon system is 80-150 ℃, and the ion source of the proton transfer reaction time-of-flight mass spectrometer is H 3 O + The charge-to-mass ratio (m/z) range is 30-600, the drift tube voltage is 450-470V, the drift tube pressure is 2.3mbar, the drift tube temperature is 80-110 ℃, the reduced electric field strength E/N value is 120-150 TD, E is the electric field strength, and the unit is1 td=10 -17 V cm 2 N is the number density of the neutral gas.
Preferably, the Bootstrap confidence interval method in step S5 evaluates the data set C obtained in step S4 Total X The method specifically comprises the following steps: set data set C Total X The confidence level is 95%, the Bootstrap extraction times are set to 500-1500 times, the following steps take n samples as an example, each Bootstrap sample is taken from the data set C Total X N samples are extracted in a put-back way, wherein n is the sample size, namely the number of target people is n, a new Bootstrap sample is formed, and the average value of each Bootstrap sample is calculated: calculating the average value of each Bootstrap sample to obtain the average value of n Bootstrap samples, and sequencing the n average values according to the sequence from small to large, wherein the n average values are respectively as follows:calculating a confidence interval of the Bootstrap sample mean value by using a percentile method; the specific method comprises the following steps: according to the set confidence level of 95%, calculating the value percentile of the lower limit of 2.5% and the upper limit of 97.5% of the confidence interval, wherein the specific formula is as follows:
finally, according to the upper and lower limits of the confidence interval and the data group C Total X Mean of (C) data set Total X Judging the positive and negative values of (2); if the upper bound of the confidence interval is less than or equal to 0 and the lower bound is less than 0, judging the data group C Total X Is negative; if the upper bound of the confidence interval is more than 0 and the lower bound is more than or equal to 0, judging the data group C Total X Positive values.
Specifically, the data obtained in step S4 of the single sample T-test evaluation step S6 specifically includes the following steps: by applying to data set C Total X Each C of (2) X Kurtosis and skewness of data distribution for normalizationCheck, data set C Total X Data set C using parameter checking in normal distribution Total X Non-parametric testing is used if the distribution is non-normal; data set C Total X Each C of (2) X The kurtosis and the skewness of the data distribution are close to 0, and the data distribution is normal distribution, otherwise, the data distribution is non-normal distribution;
establishing an assumption: the original hypothesis (H0) and the alternative hypothesis (H1) are set. Wherein, the original assumption (H0) is: data set C Total X Is equal to 0, i.e. C Total X Positive and negative properties were not significantly different from 0. The alternative hypothesis (H1) is: data set C Total X Is not equal to 0, i.e. C Total X Has significant difference from 0 in positive and negative properties;
calculating statistics: calculation C Total X Mean of (2)And standard deviation (sd);
calculating T value for comparison of C Total X The statistics of the differences between the mean and the hypothesized values, the T value is calculated according to the following formula:
wherein,C total X Mu is the set test value (where the test value is 0), s is C Total X Standard deviation, n is C Total X Is a sample of the sample.
Calculating a P value: the P value is calculated from the calculated T value and the degree of freedom (typically n-1). The P value indicates that the C is observed under the condition that the original assumption H0 is satisfied Total X The mean difference is at least as extreme as the probability of the current observation;
judging positive and negative values: setting the positive false rejection rate P to 0.05 according to C Total X The P value of (2) determines the positive and negative levels. If P<0.05, reject the original hypothesis, consider C Total X The positive and negative attributes of (2) are obviously different from 0, and C is judged according to the T value Total X If T is positive or negative>Description C of 0 Total X Overall (L)>0, judge C Total X Positive value, otherwise T<0 is C Total X Is negative. If P is greater than or equal to 0.05, the original assumption cannot be rejected, namely C Total X Has no significant difference from 0, namely C Total X Generally 0.
Specifically, C is identified in step S7 Total X The internal and external source attributes of (a) specifically comprise the following steps: comparing the results obtained in steps S5 and S6, when C Total X Identifying X as endogenous when both methods evaluate to positive values; when C Total X When both methods evaluate to negative values, X is recognized as exogenous and C Total X When the two methods evaluate to opposite positive and negative values, X is identified as no difference.
The identification method of the organic chemical composition internal and external properties in the human body exhaled air particulate matter is applied to the field of medical detection or environmental protection.
Compared with the prior art, the invention has the following beneficial effects:
1. the method of the invention combines the online sampling technology with the specific data screening standard, can accurately acquire the data of the organic chemical composition in the particulate matters and accurately identify the internal and external source attributes of the organic chemical composition of the particulate matters of the exhaled air of the human body.
2. The method is simple, convenient and quick to operate, noninvasive and high in accuracy, is favorable for deeply discussing important metabolic processes and mechanisms of the organic chemical composition of the particulate matters in the human body, and provides powerful support for relevant researches on human health. The method has wide application prospect and can play an important role in the fields of medicine, environmental protection, disease diagnosis and the like.
Drawings
Fig. 1 is a flow of identifying internal and external source properties of organic chemistry in exhaled breath particulates in accordance with the present invention.
Detailed Description
The present invention is further illustrated below in conjunction with specific examples, but should not be construed as limiting the invention. The technical means used in the examples are conventional means well known to those skilled in the art unless otherwise indicated. Unless specifically stated otherwise, the reagents, methods and apparatus employed in the present invention are those conventional in the art.
Fig. 1 is a flow chart of the identification of the nature of the internal and external sources of organic chemistry in exhaled breath particulate matter of the present invention. As can be seen from fig. 1, first, a sample of the particulate matter exhaled by the human body is collected, and the organic chemical composition and concentration in the particulate matter exhaled by the human body are collected and analyzed by using an on-line atmospheric particulate matter sampling system (Charon) in combination with a proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS), and the organic chemical composition and concentration in the particulate matter in the atmosphere in the environment where the crowd is located are collected. And combining a Bootstrap confidence interval method and a single sample t-test method, carrying out analysis on the concentration difference value of the organic chemical composition in the exhaled air of the human body and the environmental atmospheric particulate matters, and identifying the internal and external source attributes of the organic chemical composition of the exhaled air particulate matters of the human body.
Example 1 identification of organic chemical composition intrinsic and extrinsic Properties in exhaled air particulate from petrochemical workers
1. Experimental procedure
(1) Preparation work before sampling: 100 workers in an industrial area were recruited as subjects for sample collection. The test time of the test subject is that before breakfast, the test subject is kept for 4 hours before eating, does not drink other liquid except purified water and does not smoke, and the interference on the exhaled air data is eliminated as much as possible. Select H 3 O + As an ion source for proton transfer reaction time-of-flight mass spectrometers.
(2) Human body sampling work: after the subject sits still for 30-60 min, air is blown into a 1L Teflon sampling bag with the length of 24cm and the width of 16cm to collect an exhaled air particulate matter sample, and the valve is closed when the air bag is fully blown. Connecting a Teflon bag valve of a collected sample with a sampling port of a Charon, efficiently filtering gas-phase organic gas through a gas-phase filter, enriching particulate matters through an aerodynamic lens, heating and converting organic chemical compositions in the particulate matters into gas phase through a thermal analyzer, loading the gas-phase organic chemical compositions into a drift tube of PTR-TOF-MS, and ionizing H generated by ionization of an ion source 3 O + Proton transfer reaction to form protonated organic composition, separation in mass analyzer, detection in ion detector and drawingAnd transmitting the mass spectrogram to a computer display screen.
Specific parameters for Charon-PTR-TOF MS are: the thermal desorption temperature of Charon is 150 ℃, and the ion source for PTR-TOFMS is H 3 O + The scanning range is m/z=30-400, the drift tube voltage is 460V, the drift tube pressure is 2.3mbar, the drift tube temperature is 110 ℃, E/N (E is the electric field strength, N is the number density of neutral gas 1 TD=10-17 Vcm 2 ) 149TD.
(3) Sampling and detecting organic chemical composition in environmental atmospheric particulate matters: and (3) measuring the environmental sample at the same time by using the method of human body sampling in the experimental step (2) to obtain the molecular formula and concentration level of the organic chemical composition in the atmospheric particulate matters under the environmental background.
(4) Correction data: subtracting the concentration of the organic chemical composition in the obtained exhaled breath of each human body from the concentration of the organic chemical composition in the environmental atmospheric particulates, namely correcting the concentration of a certain organic chemical composition X in the exhaled breath particles of a petrochemical worker to be: c (C) x ＝C Human body concentration -C Environmental concentration In this example there are 100 petrochemical workers, so the petrochemical workers exhale data set C composed of X in the gas particles Total X ＝[C 1X 、C 2X 、……、C 100X ]；
(5) Bootstrap confidence interval method: for all data sets composed by corrected organic composition X, i.e. data set C Total X The positive and negative levels were assessed by boottrap confidence interval method. Set C Total X Confidence level was 95% and the number of Bootstrap samples was 1000. For each Bootstrap sample, 100 samples are extracted from the original sample data in a put-back way, so that a new Bootstrap sample is formed. Calculating the mean value and confidence interval of each Bootstrap sample, and according to the upper and lower limits and C of the confidence interval Total X For C Total X Evaluating positive and negative values, and evaluating C if the upper bound of the confidence interval is less than or equal to 0 and the lower bound is less than 0 Total X Is negative; if the upper bound >0 and the lower bound >0 of the confidence interval, then evaluate C Total X Positive values.
(6) Single sample T test: for data set C Total X Positive and negative levels were assessed by a single sample T-test. Specifically comprisesThe method comprises the following steps: by for each C X The kurtosis and skewness of the distribution are subjected to normalization test, C Total X C using parameter test in normal distribution Total X Non-parametric testing is used if the distribution is non-normal; each C X The kurtosis and skewness of the distribution are close to 0, and are normal distribution, otherwise, are non-normal distribution. Calculating statistics, T value and P value after hypothesis is established, and evaluating C according to the P value and the T value Total X Positive and negative values of (c). Then set the significance level P to 0.05 if P<0.05, reject the original hypothesis, consider C Total X Is significantly different from 0, and then C is estimated according to the value of T Total X If T>Description C of 0 Total X >0, evaluate to positive values, otherwise T<0 then evaluate C Total X Is negative. If the P value is greater than or equal to the significance level, the original hypothesis cannot be rejected, i.e., C is considered Total X Has no significant difference from 0, namely C Total X ＝0。
(7) Screening of internal and external attributes: c evaluated in the steps (5) and (6) Total X The positive and negative values are further processed, and the determined final internal and external properties need to further meet the results of Bootstrap confidence interval method and single sample T test at the same time, namely when C Total X Identifying X as endogenous when both methods evaluate to positive values; when C Total X X is recognized as exogenous when both methods evaluate to negative values.
2. Experimental results
In the embodiment, 16 organic compositions are selected for evaluation, the upper bound of the confidence interval evaluated by a Bootstrap confidence interval method is more than 0, the lower bound is more than or equal to 0, 7 organic compositions are selected, the upper bound of the confidence interval of the positive and negative values is less than or equal to 0, and the lower bound is less than 0, and 7 organic compositions are selected; p assessed by single sample T-test<0.05 and T>Positive organic composition of 0 total 7, estimated P<0.05 and T<Negative organic compositions of 0 total 6. Final evaluation of two methods C Total X The positive and negative levels of (2) are relatively consistent, the positive organic composition is totally 7, the negative organic composition is totally 6, namely, the organic chemical composition of the particulate matters exhaled by oil extraction workers is totally 7 endogenous and totally 6 exogenous. Table 1 shows the exhalations of the oil workersThe internal and external source properties of the organic chemical composition of the gas particulate matter, as can be seen from table 1, the finally identified internal and external source properties of the organic chemical composition can be used to assess the health risk of the worker, help assess what exogenous material the worker is exposed to, and help understand the health risk that the worker may be exposed to, especially for exposure to harmful substances.
TABLE 1 internal and external Source Properties of organic chemical composition of exhaled air particulate of oil production workers
Example 2 identification of exogenous and endogenous Properties of organic chemical composition of exhaled breath particulate matter of office population
The difference from example 1 is that: the sampling crowd is an office crowd in the room for a long time. In the embodiment, 16 organic compositions are selected for evaluation, the upper bound of the confidence interval evaluated by a Bootstrap confidence interval method is more than 0, the lower bound is more than or equal to 0, 5 organic compositions are used, the upper bound of the evaluated confidence interval is less than or equal to 0, and the lower bound is less than 0, and 10 organic compositions are used; positive organic compositions of P <0.05 and T >0, assessed by a single sample T test, total 5, negative organic compositions of P <0.05 and T <0, assessed total 10. The final estimated positive and negative levels of the two methods are very consistent, the total positive organic composition is 5, the total negative organic composition is 10, namely the total organic chemical composition of the exhaled air particulate matters of the office population in the area is endogenous 5, and the total exogenous organic composition is 10. Table 2 shows the internal and external source properties of the organic chemistry of the exhaled air particulate matter for office personnel. From table 2, it can be seen that the finally identified intrinsic and extrinsic properties of the organic chemistry can be used to evaluate the environmental level of the office, which can help evaluate the presence of exogenous materials in the office. This helps to understand the health risks that office personnel may be exposed to, especially with respect to exposure to hazardous substances.
Table 2 internal and external source Properties of organic chemical composition of exhaled breath particulate matter for office personnel
Example 3 identification of exogenous and endogenous Properties of organic chemical composition of exhaled air particulate of driver population in petrochemical industry
The difference from example 1 is that: the sampling crowd is the crowd engaged in petrochemical industry driver occupation. In the embodiment, 16 organic compositions are selected for carrying out the internal and external identification, the upper bound of the confidence interval estimated by a Bootstrap confidence interval method is more than 0, the lower bound is more than or equal to 0, 5 organic compositions are combined, the upper bound of the estimated confidence interval is less than or equal to 0, and the lower bound is less than 9 organic compositions; positive organic compositions of P <0.05 and T >0, assessed by a single sample T test, total 5, negative organic compositions of P <0.05 and T <0, assessed total 8. The positive organic compositions finally identified by the two methods are 5, the negative organic compositions are 8, namely the organic chemical compositions of the exhaled air particulate matters of the driver industry population in the region are endogenous 5, and the exogenous 8. Table 3 shows the internal and external source properties of the organic chemical composition of the exhaled air particulate matter of the driver population in the petrochemical industry. As can be seen from Table 3, the finally identified intrinsic and extrinsic properties of organic chemistry can be used to evaluate substances that are exposed to the frequent population of people in the petrochemical plant area, which can help evaluate exogenous substances present in the petrochemical plant area. This helps to understand the health risks that factory employees may be exposed to, especially with respect to exposure to hazardous materials.
TABLE 3 internal and external source Properties of organic chemical composition of exhaled air particulate matter of driver population in petrochemical industry
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
Claims (8)
1. The identification method of the organic chemical composition internal and external properties in the exhaled air particulate matter of the human body is characterized by comprising the following steps:
s1, collecting a human body exhaled air sample of a target crowd by using a Teflon sampling bag;
s2, acquiring and analyzing organic chemical compositions in the human exhaled air particulate matters of a target crowd by using an online atmospheric particulate matter sample injection Charon system and a proton transfer reaction time-of-flight mass spectrometer;
s3, acquiring and analyzing organic chemical compositions in the environmental atmospheric particulate matters of the target crowd by using an online atmospheric particulate matter sample injection Charon system and a proton transfer reaction time-of-flight mass spectrometer;
s4, subtracting the concentration of the organic chemical composition in the exhaled air of the target crowd and the particulate matters in the environment atmosphere, namely correcting the concentration of the organic chemical composition X in the exhaled air particulate matters of each person in the target crowd to be: c (C) x ＝C Human body concentration -C Environmental concentration When n persons exist in the target crowd, the data set formed by X in the target crowd exhaled gas particles is as follows: c (C) Total X ＝[C 1X 、C 2X 、……、C nX ]；
S5, evaluating the data set C in the step S4 through a Bootstrap confidence interval method Total X According to C Total X Mean and confidence interval upper and lower limit assessment C Total X Positive and negative levels of (a);
s6, evaluating the data set C in the step S4 through a single sample T test method Total X According to positive false rejection rate P<0.05 and evaluation C Total X Assume that the degree of difference in value Tvalue differs from the value 0Degree of heterogeneity, evaluate C Total X Positive and negative levels of (a);
s7, combining the C obtained in the step S5 Total X Positive and negative level and C obtained by S6 method Total X And (3) identifying the internal and external source attributes of the organic chemical composition X in the exhaled air particulate matters of the human body according to the consistency and the positive and negative value levels of the evaluation in the two steps.
2. The method for identifying the internal and external properties of the organic chemical composition of the particulate matter in the exhaled breath of the human body according to claim 1, wherein the specific steps for obtaining the organic chemical composition of the particulate matter in the exhaled breath of the human body in the step S1 are as follows: after the subject sits still for 30-60 min, blowing to a clean Teflon air bag, and fully closing the valve, wherein the Teflon air bag has the volume of 0.5-2L, the length of 20-30 cm and the width of 10-20 cm.
3. The method for identifying the internal and external properties of the organic chemical composition in the particulate matters of the exhaled breath of the human body according to claim 1, wherein the specific steps of obtaining the organic chemical composition of the particulate matters of the exhaled breath of the human body and the organic chemical composition of the particulate matters of the ambient atmosphere in which the target group is located in the steps S2 and S3 are as follows: connecting collected Teflon bag valve with human body expired air sample or environmental atmospheric particulate matters of target crowd with sampling port of Charon system, high-effectively filtering gas phase organic gas by gas phase filter, enriching particulate matters by aerodynamic lens, heating organic chemical composition in particulate matters by thermal analyzer to convert into gas phase, loading into drift tube of proton transfer reaction flight time mass spectrometer, and ionizing organic chemical composition and ion source to generate H 3 O + Proton transfer reaction occurs to form protonated organic composition, which is then separated in a mass analyzer and detected by an ion detector, and the protonated organic composition is drawn into a mass spectrogram and transmitted to a computer display screen.
4. The method for identifying the internal and external properties of organic chemical compositions in the particulate matter of human exhaled breath as in claim 3, wherein the thermal desorption temperature of said Charon systemThe ion source of the proton transfer reaction time-of-flight mass spectrometer is H with the temperature of 80-150 DEG C 3 O + The charge-to-mass ratio (m/z) range is 30-600, the drift tube voltage is 450-470V, the drift tube pressure is 2.3mbar, the drift tube temperature is 80-110 ℃, and the reduced electric field strength E/N value is 120-150 multiplied by 10 -17 V cm 2 。
5. The method for identifying the internal and external properties of organic chemical compositions in the particulate matter of exhaled breath of human body according to claim 1, wherein said Bootstrap confidence interval method in step S5 evaluates the data set C obtained in step S4 Total X From C Total X Upper and lower limits of confidence interval of (C) and data set C Total X Mean to data set C Total X Judging the positive and negative values of (2); if the upper bound of the confidence interval is less than or equal to 0 and the lower bound is less than 0, judging the data group C Total X Is negative; if the upper bound of the confidence interval is more than 0 and the lower bound is more than or equal to 0, judging the data group C Total X Positive values.
6. The method for recognizing organic chemical composition of internal and external attributes in particulate matter exhaled by human body as set forth in claim 1, wherein the single sample T-test method in step S6 evaluates the data obtained in step S4, based on the generated C Total X The positive error rejection rate P value and the differential T value of the test paper are judged to be the positive value level and the negative value level; if P<0.05, then consider C Total X The positive and negative attributes of (2) are obviously different from 0, and C is judged according to the T value Total X If T is positive or negative>Description C of 0 Total X Overall (L)>0, judge C Total X Positive value, otherwise T<0 is C Total X Is negative; if P.gtoreq.0.05, then C is considered Total X Has no significant difference from 0, namely C Total X Generally 0.
7. The method for identifying the intrinsic and extrinsic properties of organic chemical composition in exhaled breath of human body as recited in claim 1, wherein C is identified in step S7 Total X The internal and external source attributes of (a) specifically comprise the following steps: comparing the results obtained in steps S5 and S6, when C Total X In two directionsIdentifying X as endogenous when both methods evaluate to positive values; when C Total X When both methods evaluate to negative values, X is recognized as exogenous and C Total X When the two methods evaluate to opposite positive and negative values, X is identified as no difference.
8. Use of the method for identifying an intrinsic and extrinsic property in organic chemical composition in exhaled breath particulate matter of a human body according to any one of claims 1 to 7 in the field of medical detection or environmental protection.
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