CN-121994615-A - Honey nutrient component detection method and system

CN121994615ACN 121994615 ACN121994615 ACN 121994615ACN-121994615-A

Abstract

The invention relates to the technical field of component detection and analysis, in particular to a method and a system for detecting nutritional components of honey. The method comprises the steps of conducting honey matrix characteristic analysis of disturbance state response based on honey matrix state data to generate honey matrix characteristic data, conducting microenvironment excitation induced nutrition medium response characteristic spectrum analysis based on the honey matrix characteristic data to generate honey nutrition medium induction response characteristic spectrum data, conducting time sequence level response characteristic analysis of the honey nutrition medium on the honey nutrition medium induction response characteristic spectrum data to generate honey nutrition medium time sequence level response characteristic data, conducting honey nutrition component characterization characteristic analysis based on the honey nutrition medium time sequence level response characteristic data to generate honey nutrition component characterization characteristic data, conducting intelligent detection of honey nutrition component content on the honey nutrition component characterization characteristic data to generate honey nutrition component content detection data. The invention realizes the efficient detection of the nutritional ingredients of the honey.

Inventors

LI AIJUN
MENG LINGLEI
PANG XUELIANG
FU YANFANG
ZHANG LITIAN
WANG XUESONG
WANG LIN
Yuan Zhongce
LIANG SHANSHAN
LI LIANG

Assignees

唐山市食品药品综合检验检测中心(唐山市农产品质量安全检验检测中心、唐山市检验检测研究院)

Dates

Publication Date: 20260508
Application Date: 20260302

Claims (10)

1. The honey nutrition component detection method is characterized by comprising the following steps of: the method comprises the steps of S1, obtaining a honey sample group to be detected, analyzing honey matrix state data of the honey sample group to be detected to generate honey matrix state data, and performing feature analysis of the honey matrix responsive to disturbance state based on the honey matrix state data to generate honey matrix feature data; S2, carrying out microenvironment excitation induced nutrition medium response characteristic spectrum analysis based on the honey matrix characteristic data to generate honey nutrition medium induction response characteristic spectrum data; s3, carrying out time sequence level response characteristic analysis of the honey nutrition medium on the honey nutrition medium induction response characteristic spectrum data to generate time sequence level response characteristic data of the honey nutrition medium; s4, carrying out characteristic analysis on the characteristic of the nutritional ingredients of the honey based on the characteristic data of the time sequence hierarchy response of the nutritional media of the honey, and generating characteristic data of the nutritional ingredients of the honey; And S5, carrying out intelligent detection processing on the honey nutrition ingredient content of the honey nutrition ingredient characterization characteristic data to generate honey nutrition ingredient content detection data.
2. The method for detecting nutritional ingredients of honey according to claim 1, wherein step S1 comprises the steps of: S11, obtaining a honey sample group to be tested; step S12, carrying out original honey sample group representation acquisition to the honey sample group to be detected, and generating original honey sample group representation data to be detected; s13, extracting original honey structure state characteristic data according to original honey sample group characterization data to be detected, and analyzing honey matrix state data through the original honey structure state characteristic data; s14, carrying out temperature control dilution treatment on a to-be-detected honey sample group to generate temperature control diluted honey samples, and carrying out temperature control diluted honey state response analysis on honey matrix state data according to the temperature control diluted honey samples to generate temperature control diluted honey state response data; S15, carrying out mechanical heterogeneity disturbance treatment on the temperature-controlled diluted honey sample to generate a mechanical honey sample, analyzing honey rheological fluctuation characteristic data of the mechanical honey sample, and carrying out mechanical disturbance honey state response analysis on honey matrix state data according to the honey rheological fluctuation characteristic data to generate mechanical disturbance honey state response data; s16, carrying out external disturbance honey matrix state response characteristic analysis according to temperature control dilution honey state response data and mechanical disturbance honey state response data to generate disturbance honey matrix state response characteristic data; s17, performing multi-scale response characteristic decoupling processing on the disturbance honey matrix state response characteristic data to generate honey matrix state response characteristic decoupling data; and S18, carrying out honey matrix characteristic analysis through the honey matrix state response characteristic decoupling data to generate honey matrix characteristic data.
3. The method of claim 2, wherein the raw honey structure state characteristic data in step S13 includes honey initial viscosity data, honey density distribution data, honey optical transmission characteristic data, and honey flow behavior data.
4. The method for detecting nutritional ingredients of honey according to claim 1, wherein step S2 comprises the steps of: s21, carrying out honey nutrition medium response window type analysis according to the honey matrix characteristic data to generate honey nutrition medium response window type data; S22, performing microenvironment induction excitation nutrition medium response window analysis processing on the honey nutrition medium response window type data to generate microenvironment induction excitation nutrition medium response window data; s23, analyzing each nutrient medium induction response signal based on the microenvironment induction excitation nutrient medium response window data to generate nutrient medium induction response signal data; step S24, carrying out nutrient medium induction response sensitivity analysis according to the nutrient medium induction response signal data to generate nutrient medium induction response sensitivity data; S25, carrying out induction specific response behavior analysis of nutrient medium type on the nutrient medium induction response sensitivity data to generate nutrient medium induction specific response behavior data; and S26, carrying out honey nutrient medium induction response characteristic spectrum analysis through the nutrient medium induction specific response behavior data to generate honey nutrient medium induction response characteristic spectrum data.
5. The method for detecting nutritional ingredients of honey according to claim 4, wherein step S23 comprises the steps of: And extracting each nutrient medium response signal induced by the microenvironment according to the nutrient medium spectrum response data of the microenvironment influence to generate nutrient medium induction response signal data.
6. The method for detecting nutritional ingredients of honey according to claim 1, wherein step S3 comprises the steps of: S31, carrying out time sequence response gradient analysis of nutrient medium types on the honey nutrient medium induction response characteristic spectrum data to generate nutrient medium type time sequence response gradient data; Step S32, nonlinear time domain decomposition processing of various types of induction responses is carried out through the time sequence response gradient data of the nutrient medium type, and time domain decomposition data of the nutrient medium type induction responses are generated; step S33, carrying out response phase division processing on the nutrient medium type induction response time domain decomposition data to generate nutrient medium type induction response phase data; And step S34, carrying out time sequence level response characteristic analysis of the honey nutrition medium according to the nutrition medium type induction response stage data, and generating time sequence level response characteristic data of the honey nutrition medium.
7. The method for detecting nutritional ingredients of honey according to claim 1, wherein step S4 comprises the steps of: S41, extracting a stability response signal according to the honey nutrition medium time sequence level response characteristic data, generating nutrition medium time sequence stability response signal data, and marking the nutrition medium time sequence stability response signal data as nutrition medium internal characteristic signal data; step S42, performing cross-level correlation analysis of intrinsic characteristic signals on the intrinsic characteristic signal data of the nutrient medium to generate intrinsic characteristic signal level correlation data of the nutrient medium; S43, carrying out dynamic characteristic analysis of intrinsic characteristic signals on the intrinsic characteristic signal data of the nutrient medium to generate the intrinsic characteristic signal dynamic characteristic data of the nutrient medium; and S44, carrying out honey nutrition ingredient characterization feature analysis through the nutrition medium internal characteristic signal level correlation data and the nutrition medium internal characteristic signal dynamic feature data to generate honey nutrition ingredient characterization feature data.
8. The method for detecting nutritional ingredients of honey according to claim 1, wherein step S5 comprises the steps of: s51, extracting honey nutrition ingredient characterization response signal relation data according to the honey nutrition ingredient characterization characteristic data; S52, carrying out multivariable nonlinear response function establishment of characterization signals and contents of the honey nutrition components based on the honey nutrition component characterization response signal relation data so as to obtain a preliminary honey nutrition component content mapping model; s53, analyzing nutrient matrix correction factors of the characteristic data of the nutrient components of the honey according to the characteristic data of the honey matrix to generate the nutrient matrix correction factors; step S54, obtaining the prior characterization-content evaluation data of the nutritional ingredients of the honey; S55, carrying out nutritional ingredient content deviation parameter correction processing of the difference of the honey matrix on the preliminary honey nutritional ingredient content mapping model by utilizing the nutritional ingredient matrix correction factors to generate a corrected honey nutritional ingredient content mapping model, and carrying out model parameter training processing on the corrected honey nutritional ingredient content mapping model by utilizing honey nutritional ingredient priori characterization-content evaluation data to generate a honey nutritional ingredient content mapping model; And step S56, transmitting the characteristic data of the nutritional ingredients of the honey to a honey nutritional ingredient content mapping model to carry out intelligent detection processing on the nutritional ingredient content of the honey, and generating detection data of the nutritional ingredient content of the honey.
9. The method of claim 8, wherein the honey nutritional characterization response signal relationship data of step S51 includes nutritional characterization response signal amplitude relationship data, nutritional characterization response signal delay relationship data, and nutritional characterization response signal stability time relationship data.
10. A honey nutritional component detection system for performing the honey nutritional component detection method of claim 1, the honey nutritional component detection system comprising: The honey matrix characteristic analysis module is used for acquiring a honey sample group to be detected, carrying out honey matrix state data analysis on the honey sample group to be detected to generate honey matrix state data, carrying out honey matrix characteristic analysis of disturbance state response based on the honey matrix state data to generate honey matrix characteristic data; The honey nutrition medium induction response analysis module is used for carrying out microenvironment excitation induction nutrition medium response characteristic spectrum analysis based on the honey matrix characteristic data to generate honey nutrition medium induction response characteristic spectrum data; the time sequence level response characteristic analysis module is used for carrying out time sequence level response characteristic analysis of the honey nutrition medium on the honey nutrition medium induction response characteristic spectrum data to generate time sequence level response characteristic data of the honey nutrition medium; The honey nutrition component characterization feature analysis module is used for performing honey nutrition component characterization feature analysis based on the honey nutrition medium time sequence level response feature data to generate honey nutrition component characterization feature data; The honey nutrition component content detection module is used for carrying out intelligent detection processing on the honey nutrition component content of the honey nutrition component characterization characteristic data to generate honey nutrition component content detection data.

Description

Honey nutrient component detection method and system Technical Field The invention relates to the technical field of component detection and analysis, in particular to a method and a system for detecting nutritional components of honey. Background Honey as a natural nutritional food contains various saccharides, amino acids, vitamins, minerals, and bioactive substances. The accurate detection of the nutrition components of the honey is an important technical basis in the quality evaluation, the true and false identification, the nutrition value evaluation and the quality supervision of the honey. However, the existing honey nutrition component detection method mostly adopts physical and chemical analysis or instrument detection means, and usually carries out qualitative or quantitative detection on single or few nutrition components in honey, although certain detection precision can be obtained under ideal conditions, when honey samples with different sources and different matrix characteristics are faced, detection results are easily affected by honey matrix complexity, and matrix state parameters such as internal structure state, rheological property, density distribution, optical property and the like of the honey have obvious differences among different samples, the matrix differences easily interfere signal response of the nutrition components, so that the corresponding relation between detection signals and actual nutrition component content is unstable, meanwhile, system analysis on response behaviors of nutrition media under external condition changes is lacked, dynamic response characteristics of different nutrition components in a micro-environment change process are difficult to be revealed, effective distinction and high-precision characterization on nutrition media with complex components and similar response characteristics are difficult to realize stable and reliable nutrition component content detection under complex honey sample conditions are difficult to realize. Disclosure of Invention Based on the above, the invention provides a method and a system for detecting nutritional ingredients of honey, so as to solve at least one of the above technical problems. In order to achieve the above purpose, the method for detecting the nutritional ingredients of the honey comprises the following steps: the method comprises the steps of S1, obtaining a honey sample group to be detected, analyzing honey matrix state data of the honey sample group to be detected to generate honey matrix state data, and performing feature analysis of the honey matrix responsive to disturbance state based on the honey matrix state data to generate honey matrix feature data; S2, carrying out microenvironment excitation induced nutrition medium response characteristic spectrum analysis based on the honey matrix characteristic data to generate honey nutrition medium induction response characteristic spectrum data; s3, carrying out time sequence level response characteristic analysis of the honey nutrition medium on the honey nutrition medium induction response characteristic spectrum data to generate time sequence level response characteristic data of the honey nutrition medium; s4, carrying out characteristic analysis on the characteristic of the nutritional ingredients of the honey based on the characteristic data of the time sequence hierarchy response of the nutritional media of the honey, and generating characteristic data of the nutritional ingredients of the honey; And S5, carrying out intelligent detection processing on the honey nutrition ingredient content of the honey nutrition ingredient characterization characteristic data to generate honey nutrition ingredient content detection data. Further, step S1 includes the steps of: S11, obtaining a honey sample group to be tested; step S12, carrying out original honey sample group representation acquisition to the honey sample group to be detected, and generating original honey sample group representation data to be detected; s13, extracting original honey structure state characteristic data according to original honey sample group characterization data to be detected, and analyzing honey matrix state data through the original honey structure state characteristic data; s14, carrying out temperature control dilution treatment on a to-be-detected honey sample group to generate temperature control diluted honey samples, and carrying out temperature control diluted honey state response analysis on honey matrix state data according to the temperature control diluted honey samples to generate temperature control diluted honey state response data; S15, carrying out mechanical heterogeneity disturbance treatment on the temperature-controlled diluted honey sample to generate a mechanical honey sample, analyzing honey rheological fluctuation characteristic data of the mechanical honey sample, and carrying out mechanical disturbance honey state response analysis on honey matrix st