CN111735867B - Carbohydrate lactobacillus metabolism analysis and detection device and method - Google Patents
Carbohydrate lactobacillus metabolism analysis and detection device and method Download PDFInfo
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Abstract
The invention relates to a carbohydrate lactic acid bacteria metabolism analysis and detection device, which comprises: the device comprises a controller, a signal circuit, a light source modulation circuit, an excitation light source, a light addressing potential sensor, a reference electrode and a test cavity; the optical addressing potential sensor is fixed at the bottom of the test cavity and is connected with the signal circuit; one end of the reference electrode is inserted into the test cavity, and the other end of the reference electrode is connected with the signal circuit to provide bias voltage for the optical addressing potential sensor; the excitation light source is arranged on the back of the optical addressing potential sensor, is connected with the light source modulation circuit and provides optical excitation for the optical addressing potential sensor; the light source modulation circuit is connected with the signal circuit and is controlled by the signal circuit to modulate light excitation; the controller is in communication connection with the signal circuit and is used for detecting, controlling, recording and processing the acquired data. The invention can realize quantitative analysis and detection of carbohydrate lactobacillus metabolism.
Description
Technical Field
The application relates to the field of biosensors, in particular to a carbohydrate lactobacillus metabolism analysis and detection device and method.
Background
The taste sense is a sense produced by food in the oral cavity to stimulate the chemical sensing system of taste organ, and includes four basic taste senses of sweet, sour, bitter and salty. The various tastes that people usually taste are the result of the mixture of the four tastes. Taste receptors are taste buds on the tongue, which are oval and mainly composed of taste cells and supporting cells, wherein microvilli at the top of the taste cells extend towards the taste pores and contact with saliva, and nerve fibers are innervated at the cell base. The chemicals in the food dissolve in the saliva and contact the taste receptor cells through the taste pores, where they interact with taste receptors or ion channels. These interactions trigger intracellular signaling cascades that induce cellular action potentials, which are ultimately transmitted to the brain via nerve fibers, forming the sense of taste. Taste cells have a number of taste-sensing molecules on their surface, and different substances can bind to different taste-sensing molecules to present different tastes. The taste of human is stimulated by food to feel the taste only for 1.5-4.0ms, which is faster than the visual sense for 13-45ms, the auditory sense for 1.27-21.5ms and the tactile sense for 2.4-8.9 ms. Conventionally, taste analysis is mainly determined by an artificial taste analysis method, which has a high subjectivity and is difficult to accurately analyze and evaluate taste brought by food. Therefore, the taste sensor can realize on-site, rapid and real-time detection, and has important significance for the food field.
Sugar is an important flavoring agent, and is divided into high-calorie sweeteners and low-calorie sweeteners according to the caloric content. The high calorie sweetener comprises sucrose, honey and other natural sweeteners, and has high calorie, and is easy to cause obesity and even diabetes after long-term over-consumption. Low calorie sweetener refers to a material having sweetness, low caloric power and low nutritional value, which is commonly used for controlling blood sugar elevation, preventing obesity, controlling body weight and preventing cardiovascular disease, and is also used as a sugar substitute for diabetics. Lactic acid bacteria in the oral cavity of humans and other mammals ferment with trace amounts of sugars in food to produce organic acids, including lactic acid, acetic acid (ethanol), and the like, which impart specific flavors to various sugars. The metabolic characteristics of the lactic acid bacteria on different saccharides are accurately analyzed through the biosensor, and the method has great significance for preparing the sweetening agent with low calorie and the taste close to sucrose in the field of food.
Disclosure of Invention
The invention aims to provide a carbohydrate lactobacillus metabolism analysis and detection device and a carbohydrate lactobacillus metabolism analysis and detection method aiming at the defects in the prior art, and solves the problems of strong subjectivity and poor accuracy of conventional taste analysis and detection in the prior art.
The invention provides a carbohydrate lactic acid bacteria metabolism analysis and detection device, which comprises: the device comprises a controller, a signal circuit, a reference electrode, a test cavity, a light addressing potential sensor, an excitation light source and a light source modulation circuit; the test cavity is arranged on the front side of the optical addressing potential sensor and is connected with the signal circuit; one end of the reference electrode is inserted into the test cavity, and the other end of the reference electrode is connected with the signal circuit to provide bias voltage for the optical addressing potential sensor; the excitation light source is arranged on the back of the optical addressing potential sensor, is connected with the light source modulation circuit and provides optical excitation for the optical addressing potential sensor; the light source modulation circuit is connected with the signal circuit and is controlled by the signal circuit to modulate light excitation; the controller is in communication connection with the signal circuit and is used for detecting, controlling, recording and processing the acquired data.
Preferably, the optical addressing potential sensor is composed of a conducting layer, a silicon wafer substrate, an insulator layer and a sensor layer in sequence from the back side to the front side, wherein the sensor layer is tantalum oxide.
Preferably, the excitation light source is composed of a plurality of fixed-focus adjustable infrared laser diode modules.
Preferably, the test chamber comprises a cap and a chamber body having a multi-chamber structure including a reference chamber and an active chamber. The cavity has four chambers.
Preferably, the signal circuit and the light source modulation circuit respectively comprise a switching circuit for controlling the signal acquisition and the switching of the light excitation of the chamber.
Preferably a salt bridge chamber with a sealing cap is provided between the chambers.
The invention also provides a method for analyzing and detecting the metabolism of the carbohydrate lactic acid bacteria by using any one of the devices, which comprises the following steps: titrating the sugar solution in the test cavity to be adjusted with the sensor layer; after the adjusting stage is finished, dripping a lactobacillus solution into the test cavity, applying bias voltage to the sensor, and modulating the excitation light source; recording the detection signal in real time, and drawing the lactic acid bacteria metabolism curve of the sugar solution according to the detection signal.
Preferably, the sugar solution is titrated in the test cavity and the sensor layer is adjusted to 10 minutes, the bias voltage ranges from-1.3V to-0.8V, and the dosage of the lactic acid bacteria is 0.5-3 multiplied by 107CFU/ml, detection temperature of35ºC－40 ºC。
Preferably, the detection signal is a differential detection signal.
Preferably, the sugar solution includes a 75mmol/L sucrose solution and a mixed solution containing sucralose, erythritol and maltitol and having a sweetness equal to that of the 75mmol/L sucrose solution.
Preferably, the sugar solution includes a 75mmol/L sucrose solution and two kinds of sugar solutions of a mixed solution containing sucralose, erythritol, maltitol and vitamin C, having a sweetness equal to that of the 75mmol/L sucrose solution and having an acidity of pH3.0 to 4.0.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: the invention realizes the quantitative analysis and detection of the carbohydrate lactobacillus metabolism by the optical addressing potential sensor; differential detection is realized by adopting a multi-cavity test cavity, so that the influence of a medium on the pH value is compensated, and the signal drift of the sensor is reduced; by adopting the salt bridge cavity, the interface resistance and the number of reference electrodes are reduced, and the cost is reduced; based on the carbohydrate lactobacillus metabolism analysis and detection device, carbohydrate metabolism detection is carried out, the metabolism characteristics of the lactobacilli of different carbohydrates are accurately mastered, and on the basis, carbohydrate taste simulation detection is carried out, so that the acidity range of the compound sweetener with the metabolic taste close to that of cane sugar is accurately obtained.
Drawings
The above features and advantages of the present invention will become more apparent and readily appreciated from the following description of the exemplary embodiments thereof taken in conjunction with the accompanying drawings.
FIG. 1 is a schematic view showing the structure of the apparatus for analyzing and detecting the metabolism of sugar-containing lactic acid bacteria according to the present invention.
FIG. 2 is a circuit configuration diagram of a signal circuit in the carbohydrate lactic acid bacteria metabolism analysis/detection apparatus according to the present invention.
Fig. 3 is a schematic diagram of the structure of the light addressable potentiometric sensor of the present invention.
FIG. 4 is a flowchart of the method for analyzing and detecting the metabolism of sugar-containing lactic acid bacteria according to the present invention.
FIG. 5 is a metabolic curve of an example of the carbohydrate lactic acid bacterium metabolic analysis detecting method of the present invention.
Detailed Description
The present invention is described in further detail below with reference to the attached drawings so that those skilled in the art can accurately understand the present invention.
Example 1
As shown in fig. 1, the sugar lactic acid bacteria metabolism analysis and detection apparatus 100 according to the present invention includes: controller 110, signal circuit 120, light source modulation circuit 130, excitation light source 140, optical addressing potential sensor 150, reference electrode 160, test chamber 170. The test chamber 170 is fixed to the front surface of the photo-addressable potentiometric sensor 150, and the reference electrode 160 is inserted into the top cover of the test chamber 170 to bias the photo-addressable potentiometric sensor 150. The optical addressing potential sensor 150 is packaged on the PCB board through a pad, and is connected to the signal circuit 120 for signal acquisition. A PCB board encapsulating the photo-addressable potentiometric sensor 150 is secured to the bottom of the test chamber 170 for testing. The excitation light source 140 is disposed on the back of the photo-addressable potential sensor 150 and connected to the light source modulation circuit 130, so that the photo-addressable potential sensor 150 is excited by light to generate photo-generated current. The signal circuit 120 is connected to the controller 110 via a serial port, the signal circuit 120 is connected to the reference electrode 160, the light source modulation circuit 130 and the optical addressing potential sensor 150, and provides a reference voltage to the reference electrode 160, receives a photocurrent generated by the optical addressing potential sensor 150, and provides a light excitation control signal to the light source modulation circuit 130. The whole system utilizes the serial interface chip to realize the communication with the controller 110, and the functions of relevant control, data transmission and processing are completed. The excitation light source 140 is composed of 16 fixed-focus adjustable infrared laser diode modules, and is used for generating electron-hole pairs. The reference electrode 160, which may be an Ag/AgCl electrode, is connected to the signal circuit 120 and cooperates with the auxiliary electrode to provide a DC bias voltage to the photo-addressable potentiometric sensor 150, forming a space-charge region at the insulator/semiconductor interface.
[ Signal Circuit ]
As shown in fig. 2, the signal circuit 120 includes a microprocessor 121 and a LAPS detection circuit 122. The microprocessor 121 implements a 16-bit, low power MSP426FG4619 processor to implement instrumentation process control. The structure of the LAPS detection circuit 122 includes: the LAPS sensing channel switching circuit 21, the I/V conversion circuit 22, the zeroing and amplifying circuit 23, the low-pass filter circuit 24, the impedance circuit 25 and the clock circuit 26. In the process of detecting the LAPS signal, the microprocessor 121 controls the LAPS sensing channel switching circuit 21 to gate the corresponding LAPS sensor channel, and the LAPS sensing channel switching circuit 21 may adopt a relay. The weak electrical signal generated by the LAPS sensor channel is converted from photocurrent to a voltage signal by the I/V conversion circuit 22. The I/V conversion circuit 22 with different gears can be arranged and matched with an electronic change-over switch to realize optimized detection. The voltage signal is subjected to signal conditioning by the zeroing and amplifying circuit 23, a direct current offset error of the system is removed, in-phase amplification is performed, the signal-to-noise ratio is improved, low-frequency noise is filtered by the low-pass filter circuit 24, the signal quality is improved, and then the signal is sent to the microprocessor 121. The impedance circuit 25 provides the high frequency ac excitation source to the light source modulation circuit 130 for impedance detection and delivers the detection result to the microprocessor 121 for post-processing. Clock circuit 26 is controlled by microprocessor 121 to provide a stable and reliable clock signal to impedance circuit 25, which can use ADF4001 clock signal chip and 16M active crystal oscillator.
[ light source modulation circuit ]
The light source modulation circuit 130 includes an LED driving circuit 131 and an LED switching circuit 132. The LED driving circuit 131 and the excitation source provided by the impedance circuit 25 act together to drive the sensor LED light source, so as to realize the switching of the LED light source corresponding to the LAPS sensing channel.
[ light addressable potentiometric sensor ]
As shown in fig. 3, the optical addressing potential sensor 150 of the present application is composed of an aluminum layer 151, a silicon wafer substrate 152, an insulator layer 153, and a sensor layer 154 in this order from the back side to the front side, the aluminum layer 151 is connected to the signal circuit 120, and the sensor layer 154 is in contact with the test solution. The specific processing flow is as follows:
step S310: selecting a p-type silicon wafer, wherein the thickness of the silicon wafer is 540 mu m, cutting the silicon wafer into silicon single chips with the sizes of 20 mm multiplied by 20 mm, cleaning by an RCA standard cleaning process and drying;
photoetching and thinning the corresponding area of the LAPS on the back surface of the silicon single chip by using a 5% hydrofluoric acid wet chemical etching method to form a silicon chip substrate 152 so as to improve the intensity of response current during light excitation;
step S320: growing a layer of SiO2 with the thickness of 30 nm in the corresponding area of LAPS on the front surface of the silicon wafer substrate 152 by a thermal drying oxidation method (the temperature is 1000 ℃, and the time is 40 min) to form an insulator layer 153;
step S330: adopting electron beam evaporation method (evaporation rate is 0.5 nm/s, vacuum degree is 6X 10)−6mbar), a 30 nm layer of tantalum was grown on the insulator layer 153;
step S340: oxidizing the tantalum by a thermal drying oxidation step (at 520 ℃ for 45min) to form a 60 nm tantalum oxide layer to form a sensor layer 154;
step S350: aluminum is evaporated on the corresponding area of the LAPS on the back surface of the silicon wafer substrate 152 to form an aluminum layer 151 with a thickness of 300 nm.
The exciting light source 140 irradiates the silicon substrate 152 to generate electron-hole pairs, and a photocurrent is formed under the action of a space charge region electric field generated by the reference electrode 160 and the auxiliary electrode, and has alternating amplitude under the influence of a surface potential. Since the sensor layer 154 of the photo-addressable potentiometric sensor 150 is in direct contact with the analysis solution, the surface potential changes, changing the intensity of the photocurrent, and thus achieving quantitative analysis of the substance.
[ test Chamber ]
In order to eliminate adverse external influences such as pH change, temperature fluctuation or sensor signal drift of the medium during the measurement process, the test chamber 170 includes a top cover and a chamber body, and the chamber body can adopt a multi-chamber structure formed by 3d printing to realize differential lap measurement. The test chamber 170 may be formed from an optical polymer such as polypropylene-acrylonitrile-butadiene-styrene (PP-ABS). Preferably, a four-chamber cavity is formed, wherein 1-2 chambers are used as reference chambers without test objects, other chambers can be used as active chambers of test objects under different conditions, and the detection data of the reference chambers are subtracted from the detection data of the active chambers loaded with test objects. The LAPS switching circuit 21 and the LED switching circuit 132 are arranged corresponding to each chamber, and are controlled by the signal circuit 120 to realize the switching of signal acquisition and light excitation of each chamber. To reduce the number of reference electrodes 160 in multi-chamber LAPS measurements, salt bridge chambers may be provided between the multi-chambers and in combination with a sealing cap to further avoid evaporation of the internal electrolyte. The salt bridge cavity can be made of PP-ABS material through 3d printing.
Example 2
Catabolism of sugars by lactic acid bacteria mainly involves two pathways, namely the glycolysis pathway (homolactic fermentation) and the phosphoketolase pathway (heterolactic fermentation). The glycolytic pathway (EMP) refers to the anaerobic fermentation of glucose to produce lactic acid and Adenosine Triphosphate (ATP). The phosphoketolase Pathway (PK) refers to the process of hydrolyzing glucose under anaerobic condition to generate equal amount of lactic acid, ethanol and CO2And ATP. Therefore, lactic acid bacteria can generate lactic acid which affects the taste to the sugar metabolism, and the sugar lactic acid bacteria metabolism analysis and detection device provided by the invention can monitor the catabolism condition of the lactic acid bacteria to different sugars by detecting the change of pH. As shown in fig. 4, the carbohydrate lactic acid bacteria metabolic analysis and detection method of the present invention is realized by carbohydrate lactic acid bacteria metabolic analysis and detection, and comprises the following specific steps:
step S410: titrating the sugar solution in the test cavity and finely adjusting the sensor layer, wherein the adjusting time can be 10 minutes;
the saccharide can be natural sweetener, artificial sweetener, single sweetener, compound sweetener, or functional sweetener added with other flavoring agents. Artificial sweeteners include high intensity sweeteners and sweetness buffering agents. Other flavoring agents may be sour additives including organic or inorganic acids.
High intensity sweeteners are those that have a sweetening potency greater than sucrose, fructose or glucose and are relatively low in calories. Non-limiting examples include: sodium cyclamate (sodium cyclamate), calcium cyclamate, L-alpha-aspartyl-N- (2, 2,4, 4-tetramethyl-3-thiotrimethylene) -D-alaninamide (alitame), aspartame, sucralose (sucralose), acesulfame potassium (acesulfame potassium), aspartame (aspartame), saccharin, neohesperidin dihydrochalcone, N- [ N- (3, 3-dimethylbutyl) ] -L-alpha-aspartyl-L-phenylalanine 1-methyl ester (neotame), rebaudioside A, rebaudioside B, rebaudioside C, rebaudioside D, rebaudioside E, dulcoside A, stevioside (glycoside of stevia), rebaudioside D, sucralose, and the like, Mogroside IV (mogroside), mogroside V (mogroside), mogroside (mogroside), siamenoside, tripotassium glycyrrhizinate, trisodium glycyrrhizinate, monoammonium glycyrrhizinate, ammonium glycyrrhizinate, monopotassium glycyrrhizinate, tripotassium glycyrrhizinate, thaumatin (thaumatin), curculin, monellin (monellin), mabinlin, bosalin (pasiretin), southeast dulcin, gantheocin, osthole, polypodoside, pethidine, cyclamate, glycyrrhizin, acesulfame potassium, aspartame, and the like.
Sweet buffers include materials that have less sweetening potency than or comparable to sucrose, fructose or glucose, and that are less caloric, such as sugar alcohols, polyols or polyols in reduced forms of sugars, where the carbonyl group (aldehyde or ketone, reducing sugar) has been reduced to a primary or secondary hydroxyl group. Non-limiting examples of sweet buffering agents of the present invention include: xylitol, sorbitol, D-mannitol, maltitol, isomalt, erythritol, galactitol, lactitol (4-beta-D galactopyranose-D-sorbitol); raffinose, lactose, maltose, isomaltulose, alpha-D-glucose, alpha-D-mannose, alpha-D-xylose, alpha-D-galactose, beta-D-fructofuranose, beta-D-maltose, beta-D-lactose; gelatin, sodium caseinate, arabic gum, tamarind gum, sesbania gum, agar, sodium alginate, potassium alginate, carrageenan, pectin, xanthan gum, beta-cyclodextrin, sodium carboxymethylcellulose, sodium starch phosphate, sodium carboxymethyl starch, hydroxypropyl starch or propylene glycol alginate.
Organic acid additives include any compound containing a-COOH group, including but not limited to C2-C30 carboxylic acids, substituted hydroxy C1-C30 carboxylic acids, substituted cinnamic acids, hydroxyacids, substituted hydroxybenzoic acids, substituted cyclohexyl carboxylic acids, tannic acid, lactic acid, tartaric acid, citric acid, fumaric acid, gluconic acid, hydroxycitric acid, malic acid, fumaric acid, maleic acid, succinic acid, salicylic acid, creatine, acetic acid, ascorbic acid, adipic acid, acetic acid, oxalic acid, n-butyric acid, formic acid, polyglutamic acid, glucosamine hydrochloride, glucono-lactone, and alkali metal or alkaline earth metal salt derivatives thereof.
Inorganic acid additives include, but are not limited to, phosphoric acid, phosphorous acid, polyphosphoric acid, carbonic acid, sodium dihydrogen phosphate, and their corresponding alkali or alkaline earth metal salts (e.g., magnesium/calcium inositol hexaphosphate).
Step S420: dripping a lactobacillus solution into the test cavity, applying bias voltage to the sensor through the reference electrode, and modulating the excitation light source;
the oral cavity contains a large number of lactic acid bacteria, mainly in saliva, dental plaque and oral mucosa, and the main probiotic property is lactobacillus, which accounts for about 1% of the total number of oral microorganisms. The experiment was carried out using commercially available active lactic acid bacteria of the same type as those in the oral cavity. The lactobacillus dosage is 0.5-3 × 107CFU/ml, and the temperature is 35-40 ℃. The bias voltage is in the range of-1.3V to-0.8V, and the dimming frequency is 10 Khz.
Step S430: recording the detection signal in real time, and drawing the lactic acid bacteria metabolism curve of the sugar solution according to the detection signal.
Under a constant voltage mode, the working temperature is 35-40 ℃, a photocurrent signal is continuously recorded for 10 minutes, tantalum oxide is used as a pH value transducer material, and a Time-pH curve is described by using the sensitivity characteristic of 354 nA/pH under the constant voltage detection mode. For example, under experimental conditions, the signal drop 538 nA caused a change in pH corresponding to the sugar solution/sensor layer interface to Δ pH ≈ 1.5.
The differential detection aiming at the multi-chamber test chamber is realized by adding the same sugar solution into the reference chamber and the movable chamber, and dripping the lactobacillus solution into the movable chamber after the adjustment stage. When the metabolic curve is plotted, the signal for analysis is obtained by subtracting the signal for detection in the reference chamber from the signal for detection in the active chamber, and is used for plotting the metabolic curve. The test chamber needs to be rinsed three times with deionized water between the two sugar solution tests.
[ example of measurement of metabolism of lactic acid bacteria with saccharides ]
Bias voltage in the range of-1.0V, andcollecting time of 5min, preparing test solution with ultrapure water with resistivity of 15M Ω cm or more, and using lactobacillus in an amount of 1.0 × 107CFU/ml, temperature 37 ℃. And (3) differentially measuring and recording the volt-ampere characteristic data of each saccharide solution, and analyzing to obtain a saccharide lactic acid bacteria metabolic characteristic curve, wherein the time is used as an abscissa and the pH change rate is used as an ordinate. The saccharide solutions tested included:
test example 1: 75mmol/L sucrose solution.
Test example 2: the weight ratio of the sucralose to the erythritol to the maltitol is 3:800:300, and the sweetness of the mixed solution is consistent with that of a 75mmol/L sucrose solution;
the final test curve is shown in fig. 5, and the results show that the pH of the fermentation solution of the sucrose solution and the lactic acid bacteria gradually decreases with the passage of time, and the rate of decrease of the pH value increases with the amount of lactic acid generated by the reaction. After 40-60 seconds, the pH value begins to decrease rapidly, and the pH value decreases gradually in 180 seconds at 120-. In contrast, the artificial sweetener solution has less reaction with lactobacillus fermentation and less pH drop.
[ example of taste simulation of carbohydrate metabolism ]
Bias voltage range of-1.0V, collecting time of 5min, preparing test solution with ultrapure water with resistivity of 15M omega cm or more, lactobacillus dosage of 1.0 × 107CFU/ml, temperature 37 ℃. And (3) differentially measuring and recording the volt-ampere characteristic data of each saccharide solution, and analyzing to obtain a saccharide lactic acid bacteria metabolic characteristic curve, wherein the time is used as an abscissa and the pH change rate is used as an ordinate. The saccharide solutions tested included:
standard solution: 75mmol/L sucrose solution.
The specific contents of the components of the acidity gradient test solution are shown in table 1.
Table 1: content of test solution
The pH of the sample was measured using a Digital waterproof pH meter, HM Digital pH meter, pH-200. The pH meter was calibrated with a standard pH7.0 reference solution produced by General Hydroponics. The device was calibrated before the measurement.
The results show that the test solution with the sucrose acidity range between 3.0 and 4.0 has higher inosculation degree with the sucrose metabolism in 120-180 seconds with the time.
Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that the above embodiments are only one of the preferred embodiments of the present invention, and not all embodiments can be enumerated herein for the sake of brevity, and any embodiment that can embody the claims of the present invention is within the protection scope of the present invention.
It should be noted that the above-mentioned embodiments are provided for further detailed description of the present invention, and the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can make various modifications and variations on the above-mentioned embodiments without departing from the scope of the present invention.
Claims (15)
1. A carbohydrate lactic acid bacteria metabolism analysis and detection device is characterized by comprising: the device comprises a controller, a signal circuit, a reference electrode, a test cavity, a light addressing potential sensor, an excitation light source and a light source modulation circuit;
the test cavity is arranged on the front surface of the optical addressing potential sensor and is connected with the signal circuit;
one end of the reference electrode is inserted into the test cavity, and the other end of the reference electrode is connected with the signal circuit to provide bias voltage for the optical addressing potential sensor;
the excitation light source is arranged on the back surface of the optical addressing potential sensor, is connected with the light source modulation circuit and provides optical excitation for the optical addressing potential sensor;
the light source modulation circuit is connected with the signal circuit and is controlled by the signal circuit to modulate the light excitation;
the controller is in communication connection with the signal circuit and is used for detecting, controlling, recording and processing collected data;
the test cavity comprises a sugar solution and a lactobacillus solution;
the lactobacillus is used in an amount of 0.5-3 × 107CFU/ml；
The sugar solution includes sucralose, erythritol, maltitol, and vitamin C, and has an acidity of pH 3.0-4.0.
2. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 1, wherein: the optical addressing potential sensor is composed of a conducting layer, a silicon wafer substrate, an insulator layer and a sensor layer in sequence from the back side to the front side.
3. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 2, wherein: the sensor layer is tantalum oxide.
4. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 2, wherein: the excitation light source is composed of a plurality of fixed-focus adjustable infrared laser diode modules.
5. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 2, wherein: the test chamber includes a cap and a chamber body having a multi-chamber structure including a reference chamber and an active chamber.
6. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 5, wherein: the cavity has four chambers.
7. The apparatus for analyzing and detecting the metabolism of lactic acid bacteria such as saccharides according to claim 6, wherein: the signal circuit and the light source modulation circuit respectively comprise a switching circuit, and the switching of signal acquisition and light excitation of the cavity is controlled corresponding to the cavity.
8. The apparatus for analyzing and detecting the metabolism of sugar-containing lactic acid bacteria according to claim 5 or 6, wherein: salt bridge cavities with sealing caps are provided between the chambers.
9. A method for conducting a carbohydrate lactic acid bacteria metabolic analysis assay using the device of any of claims 1-8, comprising:
titrating the sugar solution in the test cavity to be adjusted with the sensor layer;
after the adjusting stage is finished, dripping a lactobacillus solution into the test cavity, applying bias voltage to the sensor, and modulating the excitation light source;
recording the detection signal in real time, and drawing the lactic acid bacteria metabolism curve of the sugar solution according to the detection signal.
10. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 9, characterized in that: the titration of the sugar solution in the test chamber was adjusted with the sensor layer for 10 minutes.
11. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 9, characterized in that: the bias voltage ranges from-1.3V to-0.8V.
12. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 9, characterized in that: the lactobacillus is used in an amount of 0.5-3 × 107CFU/ml, the detection temperature is 35-40 ℃.
13. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 9, characterized in that: the detection signal is a differential detection signal.
14. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 13, characterized in that: the sugar solution comprises 75mmol/L sucrose solution and two mixed solutions which contain sucralose, erythritol and maltitol and have the same sweetness as the 75mmol/L sucrose solution.
15. The method for the metabolic analysis and detection of carbohydrate lactic acid bacteria according to claim 13, characterized in that: the sugar solution comprises 75mmol/L sucrose solution and two mixed solutions containing sucralose, erythritol, maltitol and vitamin C, having the same sweetness as the 75mmol/L sucrose solution and having acidity of pH 3.0-4.0.
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