Risk substance dynamic monitoring system for cosmetic fermentation products

Abstract

The invention relates to a risk substance dynamic monitoring system for cosmetic fermentation products, and belongs to the technical field of cosmetic production, the risk substance dynamic monitoring system comprises a control module and a detection module electrically connected with the control module, the detection module comprises a Raman spectrum probe and a GC-IMS probe, the Raman spectrum monitors the content of terpene intermediates in real time and uploads the content to the control module, the GC-IMS probe is used for monitoring the content of volatile aldehyde substances and uploads the content to the control module, and the control module judges whether the concentration of the terpene intermediates and the content of the volatile aldehyde substances exceed preset threshold values or not; and if any judgment result is yes, triggering a primary alarm.

Description

Technical Field

[0001] This invention belongs to the field of cosmetic production technology, specifically relating to a dynamic monitoring system for hazardous substances in cosmetic fermentation products. Background Technology

[0002] Cosmetics are daily chemical products widely used in skincare, haircare, and makeup. Their safety is directly related to consumer health, and the manufacturing process of cosmetics often involves microbial fermentation. While this process can increase the content and bioavailability of active ingredients, it may also involve potentially hazardous substances. Therefore, it is necessary to identify and quantify the hazardous substances in the fermentation process.

[0003] A typical cosmetic fermentation detection system, such as the solid-state fermentation monitoring system disclosed in Chinese patent CN109810883B, includes a data acquisition module, a monitoring module, a field display module, and a control module. The data acquisition module is connected to the monitoring module, which in turn is connected to both the field display module and the control module. The data acquisition module collects fermentation data of the fermenting material in the fermentation tank, including at least odor data, gas content data, and temperature data. The monitoring module receives the fermentation data collected by the data acquisition module, sends the temperature data to the field display module for display, and also analyzes and processes the fermentation data, sending adjustment commands to the control module based on the analyzed data. The control module adjusts the fermentation environment of the fermentation tank according to the adjustment commands. This improves fermentation monitoring efficiency and ensures fermentation quality.

[0004] However, fermentation products are easily affected by multiple factors during the production process, such as microbial metabolic byproducts, residual culture medium components, and impurities introduced by the process. For example, terpenoid intermediates (such as geraniol and linalool) and volatile aldehydes (such as hexanal and nonanal) have high structural similarity and strong spectral response overlap, requiring specialized monitoring. This makes it difficult for traditional single-spectral or chromatographic methods to achieve high selectivity and high sensitivity for simultaneous identification and quantitative monitoring, thus making it difficult to effectively monitor the cosmetic production process. Therefore, a dynamic monitoring system for hazardous substances in cosmetic fermentation products with good detection performance is needed for cosmetic production. Summary of the Invention

[0005] To address the aforementioned problems in the existing technology, this invention provides a dynamic monitoring system for hazardous substances in cosmetic fermentation products, which features good detection results specifically for cosmetic production.

[0006] The objective of this invention can be achieved through the following technical solutions: A dynamic monitoring system for hazardous substances in cosmetic fermentation products includes a control module and a detection module electrically connected to the control module. The detection module includes a Raman spectroscopy probe and a GC-IMS probe. The Raman spectroscopy probe monitors the content of terpene intermediates in real time and uploads the data to the control module. The GC-IMS probe is used to monitor the content of volatile aldehydes and upload the data to the control module. The control module determines whether the concentration of terpene intermediates and the content of volatile aldehydes exceed preset thresholds. If either determination result is yes, a level one alarm is triggered.

[0007] As a preferred embodiment of the present invention, the control module calculates a comprehensive risk index based on the content of terpenoid intermediates and aldehydes, and triggers a secondary alarm when the comprehensive risk index exceeds a threshold.

[0008] As a preferred technical solution of the present invention, the Raman spectroscopy monitors the content of terpene intermediates in real time and uploads the content data H to the control module, the GC-IMS is used to monitor the content data Q of volatile aldehydes and upload it to the control module, and the control module calculates the comprehensive risk index F=a1×H+a2×Q in real time, where a1 and a2 are weighting coefficients, and a1+a2=1.

[0009] As a preferred embodiment of the present invention, the control module is used to calculate the real-time change rates dT / dt and dQ / dt of the terpene intermediate content data T and the volatile aldehyde content data Q.

[0010] In a preferred embodiment of the present invention, the control module is used to calculate a function F(t) of the content data changing with time based on the content data of the terpene intermediate, and the control module calculates the cumulative coefficient L of the content of the terpene intermediate. Where t0 is the start time, the control module compares the cumulative coefficient L with the preset threshold L0, and if L > L0, a level 3 alarm is triggered.

[0011] As a preferred embodiment of the present invention, it also includes a control panel, which is used to display alarm statuses from level one to level three, and is also used to input the values ​​of preset weighting coefficients a1, a2, T0, L0 and Q0.

[0012] The beneficial effects of this invention are as follows: (1) By simultaneously setting up a Raman spectroscopy probe and a GC-IMS detection unit, the concentrations of terpene intermediates and volatile aldehydes Q can be collected respectively, which can realize multi-parameter monitoring. Compared with traditional single-modal detection systems or traditional methods that use destructive sampling, this significantly improves the optimization effect on cosmetic production while achieving non-invasive monitoring. (2) By making the control module perform dynamic threshold determination based on the weighted comprehensive risk index F=a1×H+a2×Q, compared with the simple multi-parameter threshold alarm, it effectively avoids false alarms caused by the instantaneous fluctuation of a single parameter, and also avoids the problem of missed alarms when a single parameter approaches the threshold at the same time, thus improving the robustness of risk identification. (3) By introducing time differential terms dT / dt and dQ / dt for monitoring, when the dynamic change trend of terpene intermediates and volatile aldehydes is abnormal, an early warning can be triggered before the value actually exceeds the threshold, thus realizing risk prevention; (4) The cumulative coefficient L of terpene intermediates is calculated. This enables quantitative monitoring of the long-term cumulative effects of hazardous substances. When the content of terpene intermediates remains close to the threshold level for a long period of time, it cannot be triggered by the threshold judgment or the rate of change judgment. At this time, the abnormally high value is found by the cumulative coefficient L, and then the abnormal accumulation trend is monitored. Attached Figure Description

[0013] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0014] Figure 1 This is a block diagram of the control loop of the present invention. Detailed Implementation

[0015] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0016] Please see Figure 1 A dynamic monitoring system for hazardous substances in cosmetic fermentation products includes a control module and a detection module electrically connected to the control module. The detection module includes a Raman spectroscopy probe and a GC-IMS probe. The Raman spectroscopy is used to monitor the content of terpene intermediates in real time and upload the data to the control module. The GC-IMS is used to monitor the content of volatile aldehydes and upload the data to the control module. The control module determines whether the concentration of terpene intermediates and the content of volatile aldehydes exceed preset thresholds. If either determination result is yes, a level one alarm is triggered.

[0017] Specifically, in this embodiment, the cosmetic fermentation equipment includes at least one fermentation tank. A Raman spectroscopy probe is embedded in the wall of the fermentation tank, using a 785 nm excitation source and backscatter acquisition mode, with a spectral resolution ≤2 cm^-1 and a detection limit of 0.12 mg / L for terpene intermediate H. The GC-IMS detection unit is equipped with a capillary column (DB-5MS, 30 m × 0.25 mm × 0.25 μm) and an ion migration tube (drift voltage 600 V, carrier gas N2 flow rate 150 mL / min), with a detection limit of 0.8 ppb for volatile aldehyde Q. During actual data acquisition, the two sensors of the detection module are time-aligned every 30 seconds to ensure that the timestamp alignment error is less than 10 ms. When a Level 1 alarm is triggered, the control module displays the current concentration of terpenoid intermediates and the content of volatile aldehydes on the control panel, and issues an audible and visual alarm signal. By simultaneously setting up a Raman spectroscopy probe and a GC-IMS detection unit, the concentrations of terpene intermediates and volatile aldehydes (Q) can be collected separately, enabling multi-parameter monitoring. Compared with traditional single-modal detection systems or traditional methods that use destructive sampling, this significantly improves the optimization effect on cosmetic production while achieving non-invasive monitoring.

[0018] If monitoring is done using only a single parameter, it is impossible to reflect the synergistic effect and superimposed risk of the two types of risky substances. Therefore, Raman spectroscopy monitors the content of terpene intermediates in real time and uploads the content data H to the control module. GC-IMS is used to monitor the content data Q of volatile aldehydes and upload it to the control module. The control module calculates the comprehensive risk index F = a1 × H + a2 × Q in real time, where a1 and a2 are weighting coefficients, and a1 + a2 = 1. When F > the secondary alarm threshold F0, the control module triggers the secondary alarm. The secondary warning indicates that the content of terpene intermediates and aldehydes has been so high that it may produce a synergistic effect risk. By enabling the control module to perform dynamic threshold determination based on the weighted comprehensive risk index F=a1×H+a2×Q, compared to simply setting threshold alarms for multiple parameters separately, false alarms caused by instantaneous fluctuations of a single parameter are effectively avoided. At the same time, the problem of missed alarms when a single parameter approaches the threshold simultaneously is also avoided, thus improving the robustness of risk identification.

[0019] The control module is used to generate trend warnings based on the real-time change rates dT / dt and dQ / dt of the terpene intermediate content data T and the volatile aldehyde content data Q: when |dT / dt|>0.05 g / (L·min) or |dQ / dt|>0.3 ppb / min, the control module activates the trend warning, outputs the change rate vector Δ=(dT / dt, dQ / dt), and sends the alarm information to the control panel. By introducing time derivative terms dT / dt and dQ / dt for monitoring, when the dynamic change trend of terpene intermediates and volatile aldehydes is abnormal, an early warning can be triggered before the values ​​actually exceed the threshold, thus shifting the risk forward.

[0020] Terpenoid intermediates exhibit a cumulative effect. When the cumulative effect is significant, meaning the content remains high over a period of time, it indicates that the long-term exposure risk of terpenoid intermediates has exceeded the safety tolerance. Therefore, the control module calculates a function F(t) based on the content data of terpenoid intermediates over time. The control module also calculates the cumulative content coefficient L of terpenoid intermediates. , where t0 is the start time, the control module compares the cumulative coefficient L with the preset threshold L0, and if L>L0, a level three alarm is triggered; L= It represents the cumulative exposure of terpene intermediates over the past time period t0. Its physical meaning is the integral of the concentration of terpene intermediates per unit volume of fermentation broth over time. This cumulative coefficient is a better characterization of long-term biotoxicity load than a single instantaneous concentration. By calculating the cumulative coefficient L of terpene intermediate content... This enables quantitative monitoring of the long-term cumulative effects of hazardous substances. When the content of terpene intermediates remains close to the threshold level for a long period of time, it cannot be triggered by the threshold judgment or the rate of change judgment. At this time, the abnormally high value is found by the cumulative coefficient L, and then the abnormal accumulation trend is monitored.

[0021] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A dynamic monitoring system for hazardous substances in cosmetic fermentation products, characterized in that: The system includes a control module and a detection module electrically connected to the control module. The detection module includes a Raman spectroscopy probe and a GC-IMS probe. The Raman spectroscopy probe monitors the content of terpene intermediates in real time and uploads the data to the control module. The GC-IMS probe is used to monitor the content of volatile aldehydes and upload the data to the control module. The control module determines whether the concentration of terpene intermediates and the content of volatile aldehydes exceed preset thresholds. If either determination result is yes, a level one alarm is triggered.

2. The dynamic monitoring system for hazardous substances in cosmetic fermentation products according to claim 1, characterized in that: The control module calculates a comprehensive risk index based on the content of terpenoid intermediates and aldehydes, and triggers a level-two alarm when the comprehensive risk index exceeds the threshold.

3. The dynamic monitoring system for hazardous substances in cosmetic fermentation products according to claim 2, characterized in that: The Raman spectroscopy monitors the content of terpene intermediates in real time and uploads the content data H to the control module. The GC-IMS is used to monitor the content data Q of volatile aldehydes and upload it to the control module. The control module calculates the comprehensive risk index F=a1×H+a2×Q in real time, where a1 and a2 are weighting coefficients, and a1+a2=1.

4. The dynamic monitoring system for hazardous substances in cosmetic fermentation products according to claim 3, characterized in that: The control module is used to calculate the real-time change rates dT / dt and dQ / dt of the terpene intermediate content data T and the volatile aldehyde content data Q.

5. The dynamic monitoring system for hazardous substances in cosmetic fermentation products according to claim 4, characterized in that: The control module is used to calculate the function F(t) of the content data of terpene intermediates changing over time based on the content data of terpene intermediates. The control module also calculates the cumulative coefficient L of the content of terpene intermediates. Where t0 is the start time, the control module compares the cumulative coefficient L with the preset threshold L0, and if L > L0, a level 3 alarm is triggered.

6. The dynamic monitoring system for hazardous substances in cosmetic fermentation products according to claim 5, characterized in that: It also includes a control panel, which is used to display alarm statuses from level one to level three, and is also used to input the values ​​of preset weighting coefficients a1, a2, T0, L0 and Q0.

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