Search

CN-122024905-A - Method for screening essential oil key pleasant components based on bimodal neural imaging and application

CN122024905ACN 122024905 ACN122024905 ACN 122024905ACN-122024905-A

Abstract

The invention provides a method for screening essential oil key pleasant components based on bimodal neural imaging and application thereof. The method comprises the steps of firstly carrying out qualitative and quantitative analysis on volatile components of essential oil by adopting gas chromatography-mass spectrometry, primarily screening key aroma components by combining relative smell activity values and projection importance variables of partial least square discriminant analysis, then collecting subjective sensory evaluation of a subject through a nine-point pleasure measurement table, calculating an AW value by utilizing an electroencephalogram, simultaneously collecting blood oxygen signals, and finally identifying key pleasure components with correlation with subjective pleasure and nerve response through multidimensional data correlation analysis. The method realizes systematic association analysis of volatile components in the essential oil, cerebral nerve response and subjective pleasure experience of human bodies, provides scientific basis for research and development of high pleasure products and emotion improvement health care products, and fills the blank of the prior art in multidimensional association and accurate screening of key components.

Inventors

  • KOU XINGRAN
  • ZHANG HUIFANG
  • XU JIAWEI
  • ZHANG JINGZHI
  • KE QINFEI

Assignees

  • 上海应用技术大学

Dates

Publication Date
20260512
Application Date
20260204

Claims (10)

  1. 1. The method for screening essential oil key pleasant components based on bimodal neural imaging is characterized by comprising the following steps: s1, analyzing volatile components in essential oil and carrying out primary screening on key components: s1.1, performing qualitative analysis and quantitative analysis on volatile components in essential oil by adopting GC-MS; S1.2, calculating ROAV values based on quantitative analysis data, and screening out volatile components with ROAV > 1; Wherein ROAV values refer to the relative odor activity values of the volatile components, VIP refers to the projection importance variable; s1.3, taking a union of volatile components ROAV >1 and volatile components VIP >1 as a key component candidate set; S2, sensory evaluation of the pleasure degree of the essential oil fragrance, namely, subjective scoring is carried out on the pleasure degree of the essential oil fragrance by a subject by adopting a nine-point pleasure degree scale, and the subjective scoring is used as a first pleasure degree index; s3, collecting and processing bimodal nerve response data, namely collecting an electroencephalogram signal of a subject when the subject smells essential oil, calculating an AW value as a second pleasure index, collecting a blood oxygen signal of the subject, and calculating an activation t value of a orbital cortex BA47 area as a third pleasure index; And S4, determining the multi-dimensional data association and key components, namely performing association analysis on the key component candidate set in the step S1, the first pleasure index in the step S2, the second pleasure index in the step S3 and the third pleasure index, and screening out the key pleasure components.
  2. 2. The method of claim 1, wherein step S1 satisfies at least one of the following conditions: i. The chromatographic column of the GC-MS comprises SUPELCOWAX TM -10 capillary columns; ii. The GC-MS has a column size of 60m X0.25X 0.25. 0.25 mm X0.25 μm; The chromatographic temperature rise program of the GC-MS is that the initial temperature is kept for 1 min at 40 ℃ and is kept for 2min from 5 ℃ to 130 ℃, the temperature is kept for 2min from 2 ℃ to 140 ℃, the temperature is kept for 2min from 1 ℃ to 150 ℃, the temperature is kept for 30 min from 5 ℃ to 250 ℃, the carrier gas is high-purity helium, and the split ratio is 1:50; iv, the mass spectrum ion source temperature of the GC-MS is 200 ℃, the interface temperature is 230 ℃, and the solvent delay time is 5 min; v, the qualitative analysis method comprises the steps of comparing an experimental mass spectrum obtained through the GC-MS with compounds in a NIST2020 standard mass spectrum library; the quantitative analysis method comprises an internal standard method, and the detection object of the GC-MS is a mixture of essential oil and internal standard liquid.
  3. 3. The method of claim 1, wherein step S1 satisfies at least one of the following conditions: i. The calculation formula of ROAV is ROAV i =100×（OAV max /OAV i ), wherein OAV i =OT i /C i ,C i is the concentration of a certain compound in the essential oil, OT i is the odor threshold value of the compound in water, and OAV max is the highest value of OAV in the essential oil; ii. The fitting parameters of the PLS-DA model meet the requirements that R 2 is more than or equal to 0.97 and Q 2 is more than or equal to 0.90, wherein R 2 is an interpretation variance and Q 2 is a prediction variance.
  4. 4. The method of claim 1, wherein step S3 satisfies at least one of the following conditions: i. The data acquisition device of the electroencephalogram signals comprises 64-channel EEG equipment, wherein the sampling rate of the 64-channel EEG equipment is 1kHz, and the electrode impedance is <5kΩ; ii. The data preprocessing method of the electroencephalogram signals comprises average reference, 0.1-70 Hz filtering, 50 Hz power frequency removal and ICA eliminating ocular artifacts; And iii, the calculation formula of the AW value is as follows: ; Wherein AveragePower is the average power of the selected electrode, a right,frontal is the band channel information collected in the right forehead lobe area electrode, and a left,frontal is the a band channel information collected in the left forehead lobe area electrode.
  5. 5. The method of claim 1, wherein step S3 satisfies at least one of the following conditions: i. the collection of the blood oxygen signals is realized through a functional near infrared spectrum; ii. The data acquisition equipment of the blood oxygen signals comprises fNIRS equipment, wherein the fNIRS equipment adopts 8 emitters and 8 detectors to form 20 measurement channels, the light source wavelength is 765 nm and 855 nm, and the sampling rate is 10Hz; the data preprocessing method of the blood oxygen signal comprises motion artifact removal, 0.01-0.1 Hz band-pass filtering and conversion into oxygen-containing hemoglobin concentration change based on Beer-Lambert law; iv, the activation t value of the orbital frontal cortex BA47 zone was calculated by nirs_spm kit.
  6. 6. The method of any one of claims 1-5, wherein the essential oil comprises a citrus essential oil, wherein the citrus essential oil is selected from at least one of bergamot essential oil, lemon essential oil, japanese grapefruit essential oil, claimant citrus essential oil, orange essential oil, lime essential oil, grapefruit essential oil, tangerine essential oil, bergamot essential oil, and kumquat essential oil.
  7. 7. The method of claim 1, wherein the critical pleasure ingredients comprise a critical pleasure-promoting ingredient and a critical pleasure-suppressing ingredient, wherein, The key pleasure promoting component is a component positively correlated with the first pleasure index, the second pleasure index and the third pleasure index; the key pleasure suppression component is a component which is inversely related to the first pleasure degree index, the second pleasure degree index and the third pleasure degree index.
  8. 8. The method of claim 7, wherein when the essential oil is a citrus essential oil, the key pleasure-promoting ingredient comprises geranyl acetate, camphene, neryl acetate, α -pinene, bergamotene, cis- α -bergamotene, bisabolol, and β -caryophyllene; the key pleasure-suppressing components are beta-pinene and carvone.
  9. 9. Use of a key pleasure ingredient screened by the method of any one of claims 1-8 in the development of a food flavor.
  10. 10. Use of a key pleasure ingredient screened by the method of any one of claims 1-8 in the development of a health product.

Description

Method for screening essential oil key pleasant components based on bimodal neural imaging and application Technical Field The invention relates to the technical field of essential oil fragrance pleasure degree evaluation and key component screening, in particular to a method for screening essential oil key pleasure components based on bimodal neural imaging and application thereof. Background In the food industry and daily chemical fields, essential oil byproducts are one of the most widely used natural aroma sources, and the pleasure of the aroma directly determines the sensory competitiveness and consumer acceptance of the product. Along with the continuous upgrading of the sensory experience demands and the emotional value demands of the public on products, the flavor and essence industry is urgently required to break through the traditional technical bottleneck, so that a precise association system from aroma components to emotional influence is established. The aroma of the essential oil not only can endow products such as foods, health products and the like with fresh and unique flavor marks, but also can activate a brain emotion regulation and control network through an olfactory pathway to trigger positive psychological effects such as relaxation, pleasure and the like, and the association of the aroma and emotion becomes the core direction of the product differentiation innovation. However, there is a significant difference in the composition of volatile components of different varieties of essential oils, and this difference in chemical composition directly leads to different induced pleasant perception intensities and neural response patterns, and a need exists for a targeted technical approach to resolve the intrinsic correlation. The conventional evaluation method for the fragrance pleasure degree has obvious limitations that firstly, the conventional evaluation is highly dependent on subjective feedback, such as obtaining the sensory score of a subject by adopting a nine-point pleasure degree scale, descriptive analysis and other modes, the method is easily influenced by individual olfactory threshold difference, evaluation environment interference and psychological expectation, and the result repeatability and objectivity are insufficient, and secondly, the technologies such as gas chromatography-sniffing analysis (Gas Chromatography-Olfactometry, GC-O) and the like can be used for associating fragrance components with sensory experience, but only identifying perceivable components, and cannot reveal the coding process of the brain on the emotion value and key response brain areas after the components are received by an olfactory system. In recent years, neuroimaging technology has provided the possibility to break through this bottleneck, electroencephalogram (Electroencephalography, EEG) can capture brain instantaneous electrical activity by means of high time resolution, reflect pleasure-related approach/avoidance motivation, and functional Near infrared spectroscopy (functional Near-Infrared Spectroscopy, fNIRS) can accurately locate the infrontal orbit region (Brodmann Area 47, BA47) in the forehead lobe of the brain related to olfactory pleasure by monitoring blood oxygen concentration changes. However, current research has difficulty achieving systematic resolution from volatile components to brain neural responses to subjective pleasurable experiences. In summary, there is a need in the current field for a systematic method to accurately analyze brain region response modes related to the pleasure degree of the fragrance of different essential oils, screen key pleasure components, solve the problem of strong subjectivity of traditional evaluation, fill the gap from chemical components to nerve response and subjective evaluation association research, provide scientific basis for directional optimization of the fragrance of the essential oils, research and development of high pleasure degree foods and emotion improvement aromatic-like health products, and promote standardized development of natural fragrance substance pleasure degree evaluation technology. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides a method for screening essential oil key pleasant components based on bimodal neural imaging and application thereof. The method analyzes the related brain response of the fragrance pleasure degree of the essential oil by a bimodal nerve imaging technology and screens out key pleasure components, and particularly, achieves systematic association analysis of volatile components in the essential oil, brain nerve response and subjective pleasure experience of human bodies by GC-MS component analysis, bimodal nerve imaging (EEG and fNIRS) and sensory evaluation technology integration, provides scientific basis for research and development of high-pleasure products and development of emotion improvement health care products, and fills the blan