WO2019196107A1

WO2019196107A1 - Method for detecting composition of substance, related device, and computer readable storage medium

Info

Publication number: WO2019196107A1
Application number: PCT/CN2018/083032
Authority: WO
Inventors: 骆磊; 牟涛涛
Original assignee: 深圳达闼科技控股有限公司
Priority date: 2018-04-13
Filing date: 2018-04-13
Publication date: 2019-10-17
Also published as: CN108780047B; CN108780047A

Abstract

A method for detecting the composition of a substance, a related device, and a computer readable storage medium. The method for detecting the composition of a substance comprises: disassembling original spectrum data of a substance to be detected according to different disassembly means so as to obtain a sub-spectrum set, wherein the sub-spectrum set comprises sub-spectrum data obtained by each disassembly means; matching the sub-spectrum data comprised in the sub-spectrum set with standard spectrum data of a known sample in a database respectively so as to obtain a matching result set corresponding to the sub-spectrum set, wherein the matching result set comprises a matching result of each piece of successfully matched sub-spectrum data in the sub-spectrum set; and according to the matching result set, determining a detection result of the composition of the substance to be detected. According to the described method, a substance detecting device may provide an effective composition analysis result when detecting an unidentified substance, thus improving the accuracy of composition analysis for the substance to be detected.

Description

Method for detecting substance composition and related device and computer readable storage medium

Technical field

The present application relates to the field of spectroscopy, and in particular to a method for detecting a composition of matter and related devices and computer readable storage media.

Background technique

At present, detection equipment for detecting the composition of a substance is usually subjected to spectroscopic analysis. For example, a Raman spectrometer detects molecular information by scattering Raman spectroscopy; a laser-induced breakdown spectrometer (Laser-Induced) Breakdown Spectroscopy (referred to as "Libs Spectrometer") detects atomic information by Libs spectroscopy.

Currently, when the component to be detected is subjected to component detection, the acquired spectral data is matched with the standard spectral data of a known sample stored in the database in advance, and the result of the detection is determined based on the similarity matched with the standard spectral data.

technical problem

The inventor found in the process of studying the prior art that due to the wide variety of existing substances, the information stored in the database cannot cover all the existing substances. When an unidentified spectrum appears, only the detection result of the substance to be detected can be determined as unrecognized. When the substance to be detected is a mixture, there is often one or more components in the known sample in the database, but the existing detection method only gives unidentified detection results. Obviously, this It does not meet the needs of people.

Technical solution

A technical problem to be solved by some embodiments of the present application is to provide a method for detecting a substance composition and a related device and a computer readable storage medium, so that the detecting device can provide an effective component analysis result when detecting an unidentified substance, thereby improving The accuracy of the composition analysis of the substance to be tested.

An embodiment of the present application provides a method for detecting a substance composition, comprising: disassembling original spectral data of a substance to be detected according to different disassembly methods to obtain a sub-spectrum set, wherein the sub-spectrum set includes Sub-spectral data obtained by disassembling; respectively matching the sub-spectral data included in the sub-spectral set with standard spectral data of a known sample in the database to obtain a matching result set corresponding to the sub-spectral set, wherein the matching The result set includes a matching result of each of the matched sub-spectral data in the sub-spectrum set; and based on the matching result set, the detection result of the substance to be detected is determined.

An embodiment of the present application further provides a device for detecting a substance composition, comprising: a disassembly module, configured to disassemble original spectral data of a substance to be detected according to different disassembly methods to obtain a sub-spectral set, wherein The sub-spectral set includes sub-spectral data obtained by each disassembly method; a matching module is configured to respectively match sub-spectral data included in each sub-spectral set with standard spectral data of a known sample in the database to obtain a sub-spectrum And a matching matching result set, wherein the matching result set includes a matching result of each matching sub-spectral data in the sub-spectrum set; and a detection result determining module is configured to determine a detection result of the component to be detected according to the matching result set.

An embodiment of the present application further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being at least A processor executes to enable at least one processor to perform the above-described method of detecting a substance composition.

The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by the processor, implements the method for detecting a substance component.

Beneficial effect

With respect to the prior art, in the process of detecting a substance component in some embodiments of the present application, the original spectral data of the substance to be detected is disassembled by different disassembly methods to obtain a sub-spectral set, and the sub-spectral set is obtained. The sub-spectral data obtained by each disassembly method is included, and the original spectral data is refined, so that the original spectral data can be matched to match the result accurately; for an unknown substance, due to various disassembly methods, The sub-spectral data obtained by each disassembly method is matched and analyzed, so that the user can obtain a plurality of effective component analysis results from the detection results, and improve the accuracy of component analysis of the substance to be detected.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a flow chart of a method for detecting a substance component in a first embodiment of the present application;

2 is a schematic flow chart of a disassembling method in a second embodiment of the present application;

3 is a schematic diagram of raw spectral data of a substance to be detected in a second embodiment of the present application;

4 is a schematic structural view of a device for detecting a substance component in a third embodiment of the present application;

FIG. 5 is a schematic structural diagram of an electronic device in a fourth embodiment of the present application.

Embodiments of the invention

In order to make the objects, the technical solutions and the advantages of the present application more clear, some embodiments of the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. However, those of ordinary skill in the art will appreciate that in the various embodiments of the present application, numerous technical details are set forth in order to provide the reader with a better understanding of the application. However, the technical solutions claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.

The first embodiment of the present application relates to a method for detecting a substance component, which is used for detecting a component of an unknown substance, and is suitable for a case where a peak of a characteristic peak is sharp in a spectrum and a peak width is narrow, such as Raman spectroscopy and Libs spectrum. The specific process is shown in Figure 1, including the following steps:

Step 101: Disassemble the original spectral data of the substance to be detected according to different disassembly methods to obtain a sub-spectral set, wherein the sub-spectrum set includes sub-spectral data obtained by each disassembly method.

Specifically, the raw spectral data of the substance to be detected is obtained by a spectrometer, wherein the spectrometer can be a Raman spectrometer or a Libs spectrometer. Of course, it should be noted that before the original spectral data of the substance to be detected is disassembled, the original spectral data can be analyzed and detected by the spectrometer, and if the spectrometer detects the substance component corresponding to the original spectral data, the end is ended. A method for detecting a sub-substance component, and displaying the detection result of the substance to be detected by the spectrometer; otherwise, disassembling the original spectrum data.

It is worth mentioning that when the spectrometer detects the constituents of a substance, it is determined by matching with the standard spectral data of a known sample stored in the database.

In addition, it should be noted that the original spectral data in this embodiment includes at least a spectrum of the substance to be detected. Of course, the raw spectral data may also include other related parameters, which will not be enumerated here.

In a specific implementation, the disassembling the original spectral data specifically includes: determining a number M of characteristic peaks included in the original spectral data, wherein M is a positive integer greater than 1; and M characteristic peaks according to N different combinations The combination is performed to obtain sub-spectral data corresponding to each combination, wherein each sub-spectral data includes at least one characteristic peak, and N is an integer greater than 1.

Specifically, each characteristic peak in the original spectral data is read to determine the number M of characteristic peaks included in the original spectral data. The different characteristic peaks are combined to correspond to the spectral data of different substances. For example, the original spectral data includes five characteristic peaks, which are respectively X1, X2, X3, X4 and X5, assuming that the spectral data formed by the two characteristic peaks of X1 and X3 correspond. The spectral data of the substance 1 and the spectral data formed by the three characteristic peaks of X2+X4+X5 correspond to the spectral data of the substance 2. Therefore, different sub-spectral data can be obtained by combining different characteristic peaks. In the present embodiment, the sub-spectral data corresponding to each combination mode can be obtained by combining the characteristic peaks and removing the remaining characteristic peaks. For example, the original spectral data includes three characteristic peaks, which are X1, X2, and X3, respectively. If N is 3, and de-feature peaks are used, then X2+X3 can be combined to form corresponding sub-spectral data, and X3+X1 combination. Corresponding sub-spectral data is formed, and X1+X2 are combined to form corresponding sub-spectral data. At this time, the obtained sub-spectrum set is {X2+X3, X3+X1, X1+X2}. Of course, in this embodiment, the value of N may be the number of combinations of all possibilities.

It is worth mentioning that, in this embodiment, the sub-spectral data obtained by the N combinations is combined into one sub-spectral set, that is, the original spectral data is disassembled to obtain a sub-spectral set.

Step 102: respectively matching the sub-spectral data included in the sub-spectrum set with the standard spectral data of the known sample in the database to obtain a matching result set corresponding to the sub-spectral set, wherein the matching result set includes the sub-spectral set The result of matching each of the matched sub-spectral data.

Specifically, a plurality of sub-spectral data are included in the sub-spectral set, and each sub-spectral data is matched one by one, wherein a process of matching one sub-spectral data with standard spectral data of a known sample in the database is: The sub-spectral data is matched with the standard spectral data of the known sample in the database. If the sub-spectral data is successfully matched with the standard spectral data, the matching is successfully recorded in the matching result of the sub-spectral data, and the record matching the sub-spectral data is successfully recorded. Knowing the identification of the sample; if the sub-spectral data fails to match the standard spectral data of the known sample in the database, the matching failure is recorded in the matching result of the sub-spectral data, and the matching result of each matching sub-spectral data is placed. The matching result set corresponding to the sub-spectrum set.

It is worth mentioning that the matching result of each matched sub-spectral data includes the identification of the known sample that successfully matches the sub-spectral data, but the other included in the matching result of each matching sub-spectral data is included. The data is not limited and can be set according to the actual situation.

In addition, the matching sub-spectral data may not record the matching result, which is not limited in this application.

Step 103: Determine a detection result of the component to be detected according to the matching result set.

In a specific implementation, determining whether the matching result set is empty, if it is determined to be empty, determining that the component of the substance to be detected is not detected; determining that if it is not empty, according to the identifier of the known sample included in the matching result set, Determining each subset of each parent set and each parent set, and deleting a subset of each parent set, and identifying the identification of the known sample contained in the retained parent set as the component of the substance to be detected, wherein The set contains the identification of all known samples in the subset.

Specifically, according to the matching result set, the detection result of the component to be detected obtained in the N disassembly modes can be determined. If the matching result set is empty, it means that each sub-spectral data obtained in each disassembling mode cannot be identified, and then it is determined that the constituent components of the detecting substance are not detected. If the matching solution set is not empty, the analysis is performed according to the matching result set. The process of this analysis is detailed below:

It can be understood that the matching result set includes a matching result of each matched sub-spectral data in the corresponding sub-spectrum set, and obtains a known sample identifier included in each matching result in the matching result set, and then respectively Judging each matching result, determining whether the identifier of the known sample included in the current matching result includes all known sample identifiers included in other matching results, and if so, determining that the current matching result is a parent set, and will be included in The matching result to which the known sample identifier of the mother set belongs is determined as a subset. After determining each subset of each parent set and each parent set, deleting a subset of each parent set, retaining each parent set, and identifying the known sample contained in the parent set as the composition of the substance to be detected Identification of ingredients. The following will give an example of the details:

For example, suppose there are 3 matching results in the matching result set, which are matching result A (substance 1), matching result B (substance 1 + substance 2), matching result C (substance 1 + substance 2+ substance 3), and acquiring each The identification of the known samples contained in the matching result, respectively, the matching results A, B and C are judged, wherein the substance 1+substance 2+ substance 3 in the matching result C contains all of the matching result A and the matching result B The identification of the known sample, therefore, determines that the matching result C is a parent set, the matching results A and B are a subset of the matching result C, the matching results A and B are deleted, and the matching result C is retained. Then the substance 1 + substance 2+ substance 3 is the identification of the constituents of the substance to be detected.

After determining the detection result of the component to be detected, the detection result can be output. In a specific implementation, the identification of known samples contained in each parent set is displayed.

It will be appreciated that the constituents of the substance to be detected may be an identification of an unknown sample contained in a parent set and an unidentified substance. When the test result is displayed, the identification of the known sample contained in each of the retained master sets and the unidentified identifier may be displayed according to the stripe. For example, it is assumed that two parent sets are reserved, respectively, the parent set A (substance 1 + substance 3) ), parent set B (substance 5), assuming that the unidentified identifier is "unidentified substance". Then the display is as follows:

(a) Substance 1 + Substance 3 + Unidentified Substance;

(b) Substance 5+ unidentified substance;

Of course, other display modes can also be used to display the identification of known samples contained in the reserved master set.

In addition, in order to facilitate the user to obtain more effective information, it is also possible to display the identification of the known sample contained in each parent set, and the unidentified spectral data corresponding to the parent set. Specifically, since the original spectral data is disassembled to obtain each sub-spectral data, and each of the parent sets is sub-spectral data that successfully matches the standard spectral data, then each of the parent sets has a corresponding Identifyed spectral data. For example, the raw spectral data includes five characteristic peaks X1, X2, X3, X4, and X5, the retained parent set A is (substance 1 + substance 3), and the parent set B is (substance 5), assuming substance 1 + substance 3 The characteristic peak in the spectral data is (X1+X2+X3), and the characteristic peak in the spectral data of the substance 5 is (X2+X3+X5), then the characteristic peak in the unrecognized spectral data corresponding to the parent set A is (X4+X5). ), the characteristic peak in the unrecognized spectral data corresponding to the parent set B is (X1+X4).

In this embodiment, the identifier included in each parent set and the unidentified spectral data corresponding to the parent set may also be displayed in a strip display manner. Of course, since it is unidentified spectral data, it may be directly displayed during display. The unrecognized spectral data.

It should be noted that, in this embodiment, if it is determined that the component of the substance to be detected is not detected, the possible reason may be that the substance to be detected is a single molecule, and the standard spectrum corresponding to the substance to be detected is not stored in the database. data. A possible reason may also be that the substance is a mixture, but standard spectral data corresponding to each component of the mixture is not stored in the database. Of course, there is also a possibility that the substance to be detected is a mixture, but it is coincident that two or more substances in the composition have peaks whose peak-to-horizontal coordinates are completely identical, or peaks of a position from two or more substances are superimposed. It becomes a characteristic peak that cannot be split normally, and the characteristic peak position remaining after going to the characteristic peak cannot reflect the correct spectral data (the probability is 0 in the Libs spectrum).

The second embodiment of the present application relates to a method for detecting a substance composition, and the second embodiment is substantially the same as the first embodiment, and the main difference is that the embodiment specifically illustrates that M pairs are performed according to N different combinations. The characteristic peaks are combined to obtain an implementation of the sub-spectral data corresponding to each combination.

Specifically, in the present embodiment, N is the number of combinations including all possibilities. That is to say, in the present embodiment, N is the number of all possible combinations obtained by disassembling the original spectral data.

It can be understood that in the present embodiment, the original spectral data is disassembled according to the principle of the number of de-featured peaks. That is, each time the disassembly is performed, after the preset number of characteristic peaks are removed, all possible combinations of the remaining characteristic peaks are obtained. The specific process is shown in Figure 2.

Step 201: Set the number i of the de-featured peaks to an initial value of 1.

Step 202: Select M-i characteristic peaks from the M characteristic peaks in all possible ways to obtain C(M, M-i) sub-spectral data, wherein C(M, M-i) is a combination number formula.

It can be understood that the combination is represented by the symbol "C" in mathematics, and the number of combinations in the embodiment can be represented by "C(M, Mi)". For ease of understanding, the step 202 will be described below with a detailed example. .

For example, as shown in FIG. 3, the number of characteristic peaks M of a substance to be detected is 6, and X1 to X6 respectively represent six characteristic peaks, wherein the number of de-featured peaks is i=1, then 5 out of 6 characteristic peaks is selected. Characteristic peaks. At this time, the selected five characteristic peaks are combined according to all possible combinations, and the sub-spectral data corresponding to all possible modes when i=1 is obtained. Using the mathematical combination formula, it can be known that when i=1, The number of all possible sub-spectral data is C(M,Mi), ie C(6,5), and the specific sub-spectral data are: (X2+X3+X4+X5+X6) (X1+ X3+X4+X5+X6), (X1+X2+X4+X5+X6), (X1+X2+X4+X5+X6), (X1+X2+X3+X5+X6)(X1+X2+X3) +X4+X6), (X1+X2+X3+X4+X5).

Step 203: Update the number of de-featured peaks i=i+1.

It can be understood that after removing i characteristic peaks and obtaining all possible sub-spectral data, the number of de-coring peaks is updated, and the number of de-coring peaks is updated to i+1. For example, initial i=1, i=2 after update.

Step 204: Determine whether i is less than M. If yes, go to step 202, otherwise, go to step 205.

Specifically, since the number of de-feature peaks cannot be increased arbitrarily and cannot be equal to or greater than the number M of feature peaks, it is determined whether the updated i is less than M, and if so, step 202 is performed; otherwise, step 205 is performed.

Step 205: Determine to obtain sub-spectral data containing all possibilities.

Specifically, when i=M, no characteristic peaks can be combined, and it can be determined that all the possible sub-spectral data have been obtained at this time.

It should be noted that the determined sub-spectral data including all possibilities is put into the same sub-spectral set.

Compared with the prior art, the method for detecting the composition of the substance provided by the embodiment, by deducting the number of characteristic peaks, exhaustively disassembling all the possible sub-spectral data obtained after the original spectral data, maximizes the originality. The spectral data, in turn, ensures the accuracy of the analysis of the substance to be tested.

The third embodiment of the present application relates to a substance composition detecting apparatus 40, comprising: a disassembling module 401, a matching module 402, and a detection result determining module 403, and a block diagram thereof is shown in FIG.

The disassembly module 401 is configured to disassemble the original spectral data of the substance to be detected according to different disassembly methods to obtain sub-spectral data, wherein the sub-spectral data obtained by each disassembly method is included in the sub-spectrum set.

The matching module 402 is configured to respectively match the sub-spectral data included in each sub-spectral set with the standard spectral data of the known sample in the database to obtain a matching result set corresponding to the sub-spectral set, wherein the matching result set includes the The matching result of each of the sub-spectral sets matching the successful sub-spectral data.

The detection result determining module 403 is configured to determine a detection result of the component to be detected according to the matching result set.

It should be noted that the detecting component 40 of the substance component further includes: a display module 404, configured to display the identifier of the known sample contained in each parent set after determining the detection result of the component to be detected.

This embodiment is a virtual device embodiment corresponding to the method for detecting a substance component, and the technical details in the foregoing method embodiments are still applicable in this embodiment, and details are not described herein again.

It should be noted that the foregoing device embodiments are merely illustrative and do not limit the scope of protection of the present application. In practical applications, those skilled in the art may select some or all of the modules according to actual needs. To achieve the purpose of the solution of the embodiment, no limitation is made herein.

A fourth embodiment of the present application relates to an electronic device 50 having a structure as shown in FIG. The method includes: at least one processor 501; and a memory 502 communicatively coupled to the at least one processor 501. The memory 502 stores instructions that are executable by at least one processor 501. The instructions are executed by at least one processor 501 to enable the at least one processor 501 to perform the method of detecting the substance composition described above.

Memory 502 and processor 501 are connected in a bus manner, and the bus can include any number of interconnected buses and bridges that link together one or more processors 501 and various circuits of memory 502. The bus can also link various other circuits, such as peripherals, voltage regulators, and power management circuits, as is well known in the art and, therefore, will not be further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be an element or a plurality of elements, such as multiple receivers and transmitters, providing means for communicating with various other devices on a transmission medium. Data processed by processor 501 is transmitted over the wireless medium via an antenna. Further, the antenna also receives the data and transmits the data to processor 501.

The processor 501 is responsible for managing the bus and normal processing, and can also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory 502 can be used to store data used by the processor when performing operations.

It should be noted that the processor in this embodiment can perform the steps in the foregoing method embodiments, and the specific implementation functions are not described in detail. For details, refer to the technical details in the method embodiments, and details are not described herein.

A fifth embodiment of the present application is directed to a computer readable storage medium, which is a computer readable storage medium having stored therein computer instructions that enable a computer to perform the present application A method of lens detection involved in one or second method embodiments.

It should be noted that those skilled in the art can understand that the display method in the above embodiment is completed by a program instructing related hardware, and the program is stored in a storage medium, and includes a plurality of instructions for making a device (may be It is a single chip, a chip, etc. or a processor that performs all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), and a random access memory (RAM, Random-Access). A variety of media that can store program code, such as a memory, a disk, or an optical disk.

A person skilled in the art can understand that the above embodiments are specific embodiments of the present application, and various changes can be made in the form and details without departing from the spirit and scope of the application. range.

Claims

A method for detecting a substance composition, comprising:

The original spectral data of the substance to be detected is disassembled according to different disassembly methods to obtain a sub-spectral set, wherein the sub-spectral set includes sub-spectral data obtained by each disassembly method;

Matching the sub-spectral data included in the sub-spectral set with the standard spectral data of a known sample in the database to obtain a matching result set corresponding to the sub-spectral set, wherein the matching result set includes the sub-spectrum The matching result of each matching sub-spectral data in the set;

And determining a detection result of the component to be detected according to the matching result set.
The method for detecting a substance composition according to claim 1, wherein the original spectral data of the substance to be detected is disassembled according to different disassembly methods to obtain a sub-spectral set, which specifically includes:

Determining, by the original spectral data, a number M of characteristic peaks, wherein the M is a positive integer greater than one;

The M characteristic peaks are combined according to N different combinations to obtain sub-spectral data corresponding to each combination mode, wherein each sub-spectral data includes at least one characteristic peak, and N is an integer greater than 1.
The method of detecting a substance component according to claim 2, wherein said N is a number of combinations including all possibilities.
The method for detecting a substance composition according to claim 3, wherein the M characteristic peaks are combined in different combinations of N to obtain sub-spectral data corresponding to each combination, including:

Step a, setting the number i of the de-featured peaks to an initial value of 1;

Step b, selecting M-i characteristic peaks from the M characteristic peaks in all possible ways to obtain C(M, M-i) sub-spectral data, wherein C(M, M-i) is a combination number formula;

Step c, updating the number of the de-featured peaks i=i+1;

In step d, it is judged whether the i is smaller than M, and if so, the process proceeds to step b, otherwise, it is determined that the sub-spectral data including all possibilities is obtained.
The method for detecting a substance composition according to any one of claims 1 to 4, wherein the matching result of each of the matched sub-spectral data includes an identification of a known sample that successfully matches the sub-spectral data .
The method for detecting a substance composition according to claim 5, wherein determining the detection result of the substance to be detected according to the matching result set specifically includes:

Determining whether the matching result set is empty;

If it is judged to be empty, it is determined that the composition of the substance to be detected is not detected;

Determining, if not empty, determining a subset of each of the parent set and each of the parent sets according to an identifier of a known sample included in the matching result set, and deleting a subset of each of the parent sets, The identification of the known sample contained in the retained master set serves as an identification of the constituents of the substance to be detected, wherein the parent set contains the identification of all known samples in the subset.
The method for detecting a substance composition according to claim 6, wherein, after the detection result of the component to be detected is determined according to the matching result set, the detecting method further comprises:

Displays the ID of the known sample contained in each parent set.
The method for detecting a substance composition according to claim 6, wherein, after the detection result of the component to be detected is determined according to the matching result set, the detecting method further comprises:

An identification of the known samples contained in each of the parent sets is displayed, as well as unidentified spectral data corresponding to the parent set.
A device for detecting a substance component, comprising:

a disassembling module, configured to disassemble the original spectral data of the substance to be detected according to different disassembly methods to obtain a sub-spectral set, wherein the sub-spectral set includes sub-spectral data obtained by each disassembling method;

a matching module, configured to respectively match sub-spectral data included in the sub-spectral set with standard spectral data of a known sample in a database to obtain a matching result set corresponding to the sub-spectral set, wherein the matching result set And including matching results of each of the matched sub-spectral data in the set of sub-spectra;

The detection result determining module is configured to determine a detection result of the component to be detected according to the matching result set.
An electronic device, comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8 The method of detecting the substance composition.
A computer readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the method for detecting a substance component according to any one of claims 1 to 8.