74 results about "Simple sample" patented technology

The invention discloses a polystyrene micro-nano plastic immunochromatography time-resolved fluorescence kit and application thereof.The kit comprises a fluorescent test strip and a sample reaction bottle containing a quantum dot fluorescent microsphere labeled anti-polystyrene monoclonal antibody freeze-dried product, and the fluorescent test strip comprises a bottom plate; a water absorption pad, a detection pad and a sample pad are sequentially adhered to the adhesive surface of the bottom plate from top to bottom, adjacent pads are overlapped and connected at joints, a nitrocellulose membrane serves as a base pad of the detection pad, a transverse quality control line and a detection line are arranged on the nitrocellulose membrane from top to bottom, the quality control line is coated with an anti-mouse-free polyclonal antibody, and the detection line is coated with an anti-mouse-free polyclonal antibody. And the detection line is coated with a polystyrene-hemocyanin conjugate. The immunochromatography time-resolved fluorescence kit provided by the invention can realize quantitative detection of polystyrene, and has the advantages of strong specificity, high sensitivity, simple sample pretreatment, small pollution hazard to the environment, suitability for on-site batch detection and the like.

The invention discloses a big language model knowledge extraction method and device based on difficulty perception, and aims to solve the problems that an existing knowledge extraction method is high in training cost and lack of pertinence in sample selection. According to the method, the difficulty of a distillation difficulty score evaluation sample is introduced, a difficult sample with learning value for a student model is identified, a distillation data set is dynamically adjusted in combination with a hierarchical data updating strategy, the difficult sample is preferentially reserved, a simple sample is removed, and meanwhile, data diversity is kept. Besides, a bidirectional difference loss function is provided, KL divergence and inverse KL divergence are combined, the optimization process is stabilized, more attention is paid to difficult samples, and gradient explosion or disappearance is avoided. Experimental results show that the performance of a student model is effectively improved, the method even exceeds a teacher model under some conditions, meanwhile, the training cost is remarkably reduced, and the method is suitable for task-independent instruction following and specific tasks and has wide application prospects.

The invention relates to a method for measuring the fluorine distribution rate in a mineral raw material by using a BPMA system, and the method comprises the following steps: pretreating a sample to be measured to obtain a polished section sample of which the surface is plated with a carbon conductive film; placing the X-ray plate sample and the gold standard sample in a scanning electron microscope of a BPMA system, and determining test conditions by adopting a back scattering electron imaging mode; carrying out automatic measurement by adopting a BPMA system, and determining the composition and the mass percentage content ratio of minerals in the sample and the mass percentage content of fluorine in each mineral; and calculating the grade of fluorine in the sample and the distribution rate of fluorine in the mineral. The method provided by the invention has the advantages of simple sample preparation, modularized test process, convenient and reliable data acquisition and the like, and can be widely applied to research on the distribution rate of valuable elements in mineral raw materials.

The invention discloses a quantitative detection method for multi-element heavy metals in tobacco flavor. According to the method, to-be-detected heavy metal elements in the essence are calibrated through a multi-element heavy metal standard solvent to obtain a standard curve, and through multiple times of test fitting, the influence of background noise on result accuracy is eliminated, and the detection limit is effectively reduced, so that the test sensitivity is improved; the co-soluble solvent is adopted to effectively eliminate the influence of different substrates in the perfume, and the problem of local abnormality caused by inconsistent dissolution backgrounds is solved. The method has the advantages of simple sample pretreatment, high detection speed, high accuracy and the like, can significantly improve the detection capability and efficiency of heavy metals in the essence and perfume sample, and effectively ensures the quality and safety of the essence and perfume sample.

The invention relates to the technical field of metal material detection, in particular to a test method for evaluating the recrystallization completion degree of a steel material. The method comprises the following steps: dividing a to-be-detected steel plate into a plurality of blocky steel plate samples; preliminarily determining the range of the recrystallization temperature of the steel plate to be measured according to experience, setting a plurality of temperature gradients in the range, respectively heating a plurality of steel plate samples at different temperatures, carrying out heat preservation for a period of time, and then cooling to room temperature; grinding and polishing the cooled steel plate sample; putting the polished steel plate sample into an X-ray diffractometer sample table, and starting an X-ray diffractometer for scanning to obtain diffraction patterns of the steel plate sample at different temperatures; and judging the recrystallization completion degree of the steel plate sample according to the separation condition of the diffraction peaks K alpha1 and K alpha2 in the diffraction pattern. The method has the advantages of simple sample preparation and inspection methods, and results are representative and are basically not influenced by subjective effects of operators due to a large test area.

The invention belongs to the technical field of sarcosine detection, and provides a bionic electric sensor, a preparation method thereof and application of the bionic electric sensor in ultrasensitive detection of sarcosine. The method comprises the following steps: mixing a red blood cell solution and a bionic active substance, and carrying out co-incubation to obtain bionic red blood cells, and mixing the bionic red blood cells with a conductive polymer (dopamine, pyrrole, aniline or thiophene), and carrying out an in-situ polymerization reaction to obtain the bionic electric sensor. The conductive polymer is combined with natural cells, the excellent conductivity of the conductive polymer is utilized, and meanwhile, based on the high-oxygen microenvironment of the cells, the bionic active substance has better electrocatalytic property and can be used for rapid, sensitive and efficient monitoring of Sar. The bionic electric sensor has the advantages of being high in reaction speed, low in cost, easy to miniaturize, good in biocompatibility, simple in sample pretreatment and the like, and a novel, rapid, accurate and stable diagnostic tool can be provided for the morbidity and development law of prostate diseases.

The invention discloses a fluorescent probe for detecting spermine and spermidine in a water sample and urine as well as a preparation method and application of the fluorescent probe, and relates to the technical field of supramolecular fluorescent probes, and the fluorescent probe is formed by reacting 14-membered cucurbit urils (tQ [14]) and a compound (E)-1-(4-boron benzyl)-4-(4-hydroxyl styryl) quinoline-1-ammonium bromide according to a molar ratio of 1: 1. The novel fluorescent probe provided by the invention can specifically detect spermine and spermidine in a water sample and urine, and the preparation method of the fluorescent probe is simple and easy to implement; the method for detecting spermine and spermidine in a water sample and urine by using the fluorescent probe has the advantages of high sensitivity, high selectivity, low cost, simple sample treatment, convenient operation, rapid determination and the like.

The application discloses a seminal plasma metabolic biomarker combination for male infertility spermatogenesis obstacle typing diagnosis, and relates to the field of biological science and technology.The application records the metabolic fingerprints of 475 seminal plasma samples by means of nanoparticle-enhanced laser desorption / ionization mass spectrometry, and constructs a seminal plasma metabolic fingerprint database related to spermatogenesis obstacle (SPGF). Then, through machine learning and statistical analysis, six metabolic biomarkers for SPGF typing diagnosis are screened and identified in the seminal plasma, and the six metabolic biomarkers can realize accurate typing of SPGF (AUC=0.814). The application has the advantages of simple sample pretreatment, fast analysis speed and low cost by means of recording the metabolic fingerprints of seminal plasma by means of nanoparticle-enhanced laser desorption / ionization mass spectrometry. Through the synthesized iron oxide nanoparticles as a matrix, small molecule metabolites in the seminal plasma can be efficiently captured and ionized, and complex pretreatment steps such as deproteinization and chromatographic separation are not needed, so that super-fast analysis, super-high sensitivity, extremely low sample consumption and excellent repeatability detection are realized.

The invention discloses a method for determining the content of amylose and amylopectin in corn through a full-automatic flow injection analyzer method, and particularly relates to the field of determination of the content of amylose and amylopectin in corn, the method comprises the following steps: taking a corn kernel sample, crushing into powder, and passing through a 80-mesh screen to obtain corn kernel sample powder; the corn kernel sample powder is subjected to reflux extraction degreasing through a degreasing agent, and a degreased corn kernel sample is obtained; the method comprises the following steps: weighing a degreased corn kernel sample, putting the degreased corn kernel sample into a conical flask, adding a 95% ethanol solution, transferring a sodium hydroxide solution into the conical flask, and heating the conical flask in a boiling water bath for 10 minutes to obtain a to-be-detected corn sample with starch dispersed; taking out the to-be-detected corn sample, cooling to room temperature, transferring into a volumetric flask, adding distilled water to a constant volume, shaking uniformly, analyzing by a flow injection analyzer, and calculating to obtain the content of amylose in the corn sample. The method has the advantages of high automation degree, high detection speed and simple sample treatment.

The invention relates to a liquid chromatogram-tandem mass spectrum determination method for herbicide imazapyr and haloxyfop-R-methyl in aquatic products, through a simple sample pretreatment method and an instrument analysis method, the detection sample range is increased to various aquatic product matrixes such as fishes, shrimps, crabs and shellfishes, and the method is simple, convenient, rapid and high in sensitivity. The method has the advantages of low reagent dosage, high sensitivity, low cost, high accuracy and good stability. According to the method, a technical means is provided for evaluating the toxic effect of the Spartina alterniflora herbicide, i.e., the melatryn and the cyhalofop-ethyl on aquatic organisms and monitoring and evaluating the risk of the Spartina alterniflora.

The invention discloses a method for detecting sialic acid in a dairy product. The method comprises the following steps: pretreating raw materials: weighing a uniformly mixed liquid dairy product, adding water for diluting, adding a precipitant consisting of potassium ferrocyanide and zinc acetate, uniformly shaking, adding water for fixing the volume, uniformly shaking, and filtering with a filter membrane of 0.5 mu m or less to obtain a filtrate; the concentration of the liquid dairy product is 1-10g / 100mL, the concentration of the potassium ferrocyanide is 0.1-0.26 g / 100mL, and the concentration of the zinc acetate is 0.2-0.55 g / 100mL after the water is added to a constant volume; a chromatographic column is a hydrogen type cation chromatographic column, a 0.005-0.01 mol / L sulfuric acid aqueous solution is used as an eluent for isocratic elution, and after elution, a PAD detector is adopted for detection under the detection wavelength of 210-220 nm. The method is suitable for detecting sialic acid in milk, and has the advantages of simple sample treatment, low treatment cost and accurate detection.

The application discloses a quality control method of Shen Shuai Kang capsules, and applies isoxanthohumol to the quality control of the Shen Shuai Kang capsules, carries out thin-layer identification and fingerprint spectrum detection on the Shen Shuai Kang capsules, and determines the content of isoxanthohumol in the Shen Shuai Kang capsules, so that the quality control standard of the Shen Shuai Kang capsules is improved. The method can not only more accurately, comprehensively and conveniently evaluate the quality of the Shen Shuai Kang capsules, but also indirectly guarantee the effectiveness and safety of the product. The quality control method has the advantages of simple sample preparation method, reliable and stable detection result and the like.

The present application provides a science and education resource relationship prediction method and system based on large model zero sample prediction, comprising: obtaining unlabeled science and education resource data, dividing the unlabeled science and education resource data into simple samples and difficult samples based on the zero sample prediction and self-check of the large model, and constituting a few sample training set; labeling the few sample training set by artificial means; selecting a corresponding large model instruction fine-tuning algorithm according to different application scenarios, training the model on the labeled few sample training set, and obtaining a trained model; loading the trained model to perform automatic relationship extraction and complete relationship prediction. By obtaining unlabeled science and education resource data and using the zero sample prediction capability of the large model to preliminarily process these data, the dependence on a large amount of labeled data in the traditional method is avoided, so that effective relationship prediction can be performed in the science and education field where labeled data is scarce.

The invention discloses a model training method and device, and relates to the technical field of machine learning, and the method comprises the steps: carrying out the training of a target model through a training set in a data set, and obtaining an evaluation index of each sample; dividing each to-be-divided sample into a simple sample or a difficult sample according to the evaluation index; and discarding the simple samples, and returning to execute the next round of training based on the adjusted data set until the preset round of training is completed. According to the method, all key operations are completed in the training process, so that the sample division does not need to start any calculation process independent of model training, and independent links such as preprocessing, post-processing or special index calculation are avoided; and the scale of a data set of subsequent training is dynamically reduced by discarding the sample subsets which are divided into simple samples after each training round, so that the model training pays more attention to difficult samples, the data volume which needs to be processed in subsequent iteration of the model is directly reduced, and the calculation resources are saved and the training efficiency is improved.

The invention relates to an enzyme linked immunosorbent assay kit for detecting capsaicin in edible oil and application of the enzyme linked immunosorbent assay kit. The kit disclosed by the invention adopts a competitive enzyme-linked immunosorbent assay and is matched with a matched calculation template, so that the content of capsaicin in a grease sample can be detected only by simultaneously detecting one standard substance during sample detection. The kit and the detection method thereof have the characteristics of simple sample treatment steps, short time consumption, high specificity, high sensitivity, high accuracy, high stability and the like, the arrangement of a single standard curve point is suitable for high-throughput sample detection, the cost can be saved under the condition of small sample size, and the detection method is suitable for large-scale popularization and application. The curve difference caused by personnel operation and the like is avoided, and the detection efficiency is greatly improved.

The present application provides a sample screening method, device, storage medium and computer equipment. The method includes: before executing the (n+1)th round of model training, calculating the training loss parameter and penalty score of each training sample in the (n‑m)th round to the nth round of training; wherein the training loss parameter is used to characterize the average training loss degree of the training sample in the (n‑m)th round to the nth round of training, and the penalty score is used to characterize the proportion of the number of times the training sample is correctly classified by the training model in the (n‑m)th round to the nth round of training; n>m, and n and m are both positive integers; each training sample is determined as a simple sample, a normal sample or a difficult sample according to its contribution to the generalization ability of the model; and a target sample set is constructed according to each normal sample and each difficult sample. The present application can optimize the diversity and characteristic degree of the samples put into training, thereby improving the generalization ability of the training model obtained by training.

The invention provides an SERS (Surface Enhanced Raman Scattering) substrate and a detection method for the blood concentration of epirubicin, and belongs to the technical field of detection.The SERS substrate is prepared by the following steps: firstly, respectively preparing 40nm and 20nm gold nanoparticles through a sodium citrate reduction method, and constructing the SERS substrate on a silicon dioxide sheet through ABA sandwich dispensing; an epirubicin blood sample is pretreated through an acetonitrile precipitation method and then dropwise added to the substrate to be dried away from light, and the 1236 cm <-1 > characteristic peak intensity is detected through a 785 nm Raman spectrum. By establishing a quantitative curve of epirubicin concentration and peak intensity in serum, rapid quantitative detection of clinical samples is realized. The method is simple in sample treatment, high in detection sensitivity, good in repeatability, consistent with LC-MS / MS results, and suitable for bedside treatment drug monitoring.

The invention discloses a recombinant photobacterium for detecting genotoxic pollutants as well as a preparation method and a detection method of the recombinant photobacterium, and belongs to the technical field of analysis and detection. The invention provides a recombinant luminescent bacterium for detecting genetic toxic pollutants, a chromosome of the recombinant luminescent bacterium carries a luminescent gene, and the luminescent gene and a target gene on the chromosome have a common promoter. Luminescence enhancement of the recombinant luminescent bacterium is induced by the genotoxic substance, and target gene transcription of the recombinant luminescent bacterium is enhanced in the presence of the genotoxic substance, so that the luminescent gene is expressed, and whole-cell biosensing of genotoxicity detection is realized. The recombinant photobacterium obtained by the method has the advantages of stable strain structure, high sensitivity, simple sample treatment, fast detection, low detection cost, and detection limit of 0.5 [mu] M.

The invention belongs to the technical field of in-vitro nucleic acid detection, and discloses a pyrosequencing primer and a kit for detecting CYP2D6-5 genetic typing. And the base sequence of the pyrosequencing primer is as shown in SEQ NO.3. The kit comprises dNTPs, a buffer solution, a recombinant DNA polymerase (rTaq), double distilled water, a specific amplification primer 1, a specific amplification primer 2, a sequencing primer, a blank reference substance and a positive reference substance, the base sequence of the specific amplification primer 1 is as shown in SEQ NO.1; the base sequence of the specific amplification primer 2 is as shown in SEQ NO. 2; the base sequence of the sequencing primer is as shown in SEQ NO.3. When the kit is used for detecting the CYP2D6 * 5 genotyping, the kit has the advantages of accurate qualitative detection, high sensitivity and strong specificity; in addition, the method has the advantages that sample treatment is simple, sequencing steps are simple, the sequencing speed is high, one on-machine reaction is completed in half an hour, detection site frequency analysis is directly given, and the result is visual.

The utility model relates to the technical field of sample preparation equipment, in particular to a simple sample preparation machine for a thick-wall PVC pipe sample. Comprising an upper die device and a lower positioning device, the lower positioning device comprises a bottom plate, a movable plate, a base plate and a jack, and the upper die device comprises an upper fixing plate, a connecting plate and a material pressing die; the jack is fixedly connected with the bottom plate, the movable plate can move up and down under the action of the jack, the upper fixed plate is elastically connected with the movable plate, and the base plate is fixedly connected with the movable plate; the pressing die for sample preparation is arranged below the connecting plate; the upper mold device is further provided with a sample plate demolding pin and a reset spring which are used for enabling the upper mold device to reset automatically after sample preparation. According to the thick-wall PVC pipe tensile sample manufacturing machine tool, large-diameter thick-wall pipe samples can be manufactured according to the shapes of the test pieces, the sizes of the manufactured samples meet the standard requirement and have accuracy, the sample manufacturing machine is simple in structure, small in size and convenient to operate, and the tensile detection requirement of the samples is met.

The invention discloses a kit and a method for rapidly detecting and diagnosing feline calicivirus. The kit comprises composite magnetic beads, a reverse transcription system and a fluorescent quantitative PCR (Polymerase Chain Reaction) detection system, the composite magnetic bead is Fe3O4-coated UiO-66, the reverse transcription system comprises a reverse transcription primer and a reverse transcription reagent, and the fluorescent quantitative PCR detection system comprises an amplification primer and a reaction reagent. Composite magnetic beads are synthesized from an MOFs material and magnetic nanoparticles through a solvothermal method, then reverse transcription primers are pre-anchored on the surfaces of the composite magnetic beads, and a one-step mRNA detection platform is derived; after the feline calicivirus is hybridized with the surface anchor primer, reverse transcription is immediately carried out, the generated cDNA can be directly amplified through quantitative polymerase chain reaction, and quantitative analysis can be realized without pre-RNA extraction. Compared with the traditional kit, the method has the advantages of simple sample pretreatment, less time consumption, low cost, no need of using toxic organic reagents such as chloroform in the traditional nucleic acid extraction method, no need of tedious steps such as centrifugation and elution, safety and environmental protection.

The application relates to an industrial equipment residual life prediction method and medium based on classification and error correction knowledge distillation, and relates to the technical field of industrial equipment life prediction. The similarity between the teacher output prediction value and the corresponding true value is used to divide the difficult samples and simple samples of each time sequence, so that the distillation loss function can be constructed based on the obtained difficult samples and simple samples, thereby obtaining the total loss function, so that the student network model can perform knowledge self-reflection in the training process combined with the loss function, instead of directly replacing the true value, emphasizing self-correction, and the adaptability of the student model to the real data is enhanced, so that the prediction accuracy can be improved while reducing the reasoning memory, thereby achieving a better balance between accuracy and reasoning memory, so as to facilitate easier deployment on mobile devices.

The present invention relates to the field of microbial detection technology, and specifically to a method for preparing a cell-imprinted electrochemical sensor and a method for rapidly and quantitatively detecting lactic acid bacteria in dairy products using the same. The method comprises: 1) immersing the cell-imprinted electrochemical sensor in a lactic acid bacteria solution of known concentration, then washing it with PBS and using differential pulse voltammetry to detect the concentration of lactic acid bacteria in a solution containing [Fe(CN)6] 3‑ / 4‑ , KCl solution; draw a standard curve with the logarithm of the lactic acid bacteria solution concentration as the horizontal coordinate and the current value as the vertical coordinate; 2) detect lactic acid bacteria in dairy products. The cell imprinting electrochemical sensor of the present invention can realize rapid, sensitive and selective detection of lactic acid bacteria, and has simple sample pretreatment, short analysis time, simple experimental operation and strong specific recognition ability. The sensor is used in dairy product production, and can quickly and accurately quantitatively detect lactic acid bacteria in dairy products, effectively reducing production costs, and is also suitable for the detection of lactic acid bacteria in various dairy products.

The invention discloses a method for detecting folic acid and derivatives thereof. The method comprises the following steps: 1) detecting by adopting fluorescent liquid chromatography to obtain peak appearance time and a peak area-folic acid concentration linear equation corresponding to each folic acid monomer and folic acid precursor; and 2) preparing a to-be-detected sample into a folic acid extracting solution, performing fluorescent liquid chromatography detection, and obtaining the types and contents of folic acid monomers and folic acid precursors in the to-be-detected sample according to the appearance time and the peak area-folic acid concentration linear equation in the step 1). The method for detecting folic acid and derivatives thereof has the advantages of high degree of separation and sensitivity, good repeatability and stability, simple sample pretreatment, low detection cost, high detection efficiency and the like, and is suitable for accurate quantitative analysis of folic acid content in food such as mushrooms, corn, soybeans, rice, potatoes, spinach and the like.

The invention relates to the technical field of analytical chemistry, in particular to a fluorescent probe for detecting avenaceum in water as well as a preparation method and application of the fluorescent probe. The supramolecular fluorescent probe for detecting the oat cake (DFQ) in the water body is a supramolecular fluorescent probe which takes dislocation ten-membered cucurbit [n] uril (ns-Q [10]) as a subject and thioflavin T (ThT) as an object, is a novel probe, can detect the oat cake in the water, and has high selectivity. The detection method adopting the probe has the advantages of high sensitivity, high selectivity, low detection cost, simple sample treatment, convenient operation, rapid determination, real-time detection and the like.

The present invention discloses a decentralized application encrypted traffic classification method and device based on metric space, including collecting the encrypted traffic of decentralized applications, marking the application of each encrypted traffic; clustering using the characteristic vector of each encrypted traffic to divide simple samples and difficult samples; taking any difficult sample in the clustering result as a positive sample F, and the cluster center point of the category to which the positive sample F belongs as the positive sample cluster center C F , any difficult sample in other categories is regarded as a negative sample F′ i , the negative sample F′ i The cluster center of the category is used as #imgabs0# to construct several quadruplets #imgabs1#. The quadruplet network is trained using the quadruplet S to obtain a classification model. The samples in the test set are input into the classification model, and the similarity is calculated in the metric space to obtain the classification result of the target encrypted traffic. The present invention provides high-quality samples containing more information, effectively screens simple data sets, and automatically learns effective features through the network, making DApps classification more efficient and accurate.

The invention relates to the technical field of detection, in particular to a method for detecting the ginsenoside component of a nephritis-relieving tablet, the contents of ginsenoside Rg1, ginsenoside Re and ginsenoside Rb1 in the nephritis-relieving tablet are simultaneously determined by adopting a liquid chromatography-mass spectrometry method, and the method comprises the following steps: (1) preparing a test solution; (2) setting liquid chromatography conditions; (3) setting mass spectrum conditions; the invention establishes a liquid chromatography-mass spectrometry method for simultaneously determining three ginsenoside components in the nephritis-relieving tablet, and the method has the advantages of simple and convenient sample treatment process, short analysis time (only 4.5 min), high sensitivity, high specificity and the like. Compared with the content determination item of the nephritis-relieving tablet in 2020 edition Chinese Pharmacopoeia, the content determination of the characteristic component ginsenoside Rb1 of ginseng is increased, and a reference can be provided for the overall quality control and evaluation of the nephritis-relieving tablet.

The invention provides a science and education resource relationship prediction method and system based on large model zero sample prediction, and the method comprises the steps: obtaining unlabeled science and education resource data, dividing the unlabeled science and education resource data into simple samples and difficult samples based on the zero sample prediction and self-inspection of a large model, and forming a few-sample training set; manually marking the training set with few samples; selecting a corresponding large model instruction fine tuning algorithm according to different application scenes, and performing model training on the marked few-sample training set to obtain a trained model; and loading the trained model to perform automatic relation extraction to complete relation prediction. The method comprises the following steps: acquiring unlabeled science and education resource data, and carrying out primary processing on the data by utilizing the zero sample prediction capability of a large model; dependence on a large amount of annotated data in a traditional method is avoided, and effective relation prediction can also be carried out in the science and education field with scarce annotated data.

This application discloses a microfluidic chip, a nucleic acid detection cartridge, and a nucleic acid extraction cartridge, comprising a chip body and thin films respectively disposed on two surfaces of the chip body. The chip body is provided with n first microfluidic channels and m second microfluidic channels. The first microfluidic channels include m sequentially connected first reaction chambers, and the second microfluidic channels include n sequentially connected second reaction chambers. The first and second reaction chambers are connected in a one-to-one correspondence, and a phase change material isolator is disposed at the connection point. m and n are both natural numbers not less than 2. One of the first and second microfluidic channels is used to inject a template-free nucleic acid amplification system, and the other is used to inject the sample to be tested. This application can achieve simultaneous detection of multiple nucleic acid targets in multiple samples to be tested through simple sample addition, greatly simplifying the operation process for technicians and reducing consumable costs.

The invention belongs to the technical field of atomic absorption spectrometry analysis, and particularly relates to a method for rapidly determining trace Pb in a complex sample under high acidity based on atomic absorption spectrometry, in particular to an analysis method for accurately and rapidly determining trace Pb in cosmetics. According to the method for rapidly determining the trace Pb in the complex sample under the high acidity based on the atomic absorption spectrometry, the HCl concentration of a test system can be greatly improved to 10% by adopting a designed chemical atomizer and optimizing the conditions of reduction reaction; the method breaks through the bottleneck that trace Pb in a few simple samples can only be measured under low acidity by a hydride generation method, so that the chemical reaction of Pb and NaBH4 can be stably carried out under high acidity, the problem of testing trace Pb in complex samples is solved, and the method is high in sensitivity, simple and rapid to operate and reliable in test result.