3596results about How to "Short detection time" patented technology

The invention discloses a method and system for quick lossless evaluation on multiple indexes of freshness of fresh beef by applying a visible / near infrared spectrum technology, belonging to the technical field of lossless detection of food. According to the invention, a mathematical prediction model is established between spectral information capable of reflecting fresh beef ingredients and physical state information, and multiple indexes of the freshness of the fresh beef, and the whole detection system is constructed on the basis of the mathematical prediction model, so that the system can be used for accurately and reliably detecting multiple unknown indexes of the freshness of the fresh beef (volatile basic nitrogen (TVB-N), pH value, total bacterial count and beef color (CIE color parameters L* and a*) and the like simultaneously, and predicating the storage time of the beef; furthermore, the freshness of the beef is graded comprehensively by combining multiple indexes, so that the quick lossless detection and evaluation on the freshness of the fresh beef are realized.

The invention provides a virus infection detection and identification technology based on metagenomics. The virus infection detection and identification technology based on the metagenomics comprises the four portions of sample preparation, high-throughput sequencing, bioinformatic analysis and result re-checking. In the sample preparation portion, viral nucleic acid is effectively extracted or enriched from detection samples according to the requirements of the virus infection detection and identification technology based on the metagenomics and characteristics of different types of detection samples, and a nucleic acid library which can be used for a next-generation sequencing instrument is established. In the high-throughput sequencing portion, the nucleic acid library established in the sample preparation step is sequenced so to obtain sufficient high-quality nucleic acid sequence information. In the bioinformatic analysis portion, a large number of high-quality nucleic acid sequences obtained in the high-throughput sequencing step is analyzed to further obtain viral component information prompted by the nucleic acid of the samples. In the result re-checking portion, a bioinformatic analysis result and other information, such as technical contrast, are integrated to perform comprehensive study and judgment, finally alternative infection virus is determined, and other technologies, such as PCR, are utilized to perform re-checking.

The invention discloses a colloidal gold kit for jointly detecting coronavirus IgM / IgG antibody, and a preparation method thereof, and relates to the field of biological medicine. Whether anti-novel coronavirus nucleocapsid protein IgM antibody and / or anti-novel coronavirus nucleocapsid protein IgG antibody exists in human serum or plasma or not by adopting an antigen-antibody sandwich method anda colloidal gold immunochromatography method principle, the novel coronavirus nucleocapsid protein containing 6xHis mark is marked by applying colloidal gold, thereby forming gold-marked N protein tobe adsorbed on a gold-marked pad, the novel coronavirus nucleocapsid protein containing 6xHis mark is used as an indication marker, the mouse-anti-human u chain monoclonal antibody is coated on the IgM detection line of a NC membrane, the mouse-anti-human IgG monoclonal antibody is coated on the IgG detection line and the mouse-anti 6xHis monoclonal antibody is coated on a quality control line ofthe NC membrane, the qualitative detection of the anti-novel coronavirus nucleocapsid protein IgG antibody is realized, and the colloidal gold kit disclosed by the invention has the advantages of being convenient to use, high in sensitivity and short in detection time.

The invention relates to a centrifugal micro-fluidic chip for detecting pesticide residue and a preparation method thereof. The centrifugal micro-fluidic chip for detecting the pesticide residue is a disk type chip with a micro structure and a micro channel and consists of multiple layers of chips; the mixing, extracting, reacting, separating and developing process of a sample to be measured and a reagent is realized under the drive of a centrifugal force generated by rotating a centrifugal machine; and finally, the content of the pesticide residue in the sample is quantitatively detected by using an ultraviolet visible light spectrophotometer. The centrifugal micro-fluidic chip for detecting the pesticide residue can be used for directly sampling without pretreating the sample; the consumption of the sample and the reagent is low; a plurality of samples can be simultaneously treated and detected in parallel, and thus the integration, the micromation and the automation of the pesticide residue detection are realized; and the centrifugal micro-fluidic chip has the characteristics of economy, quickness and portability and provides a brand-new analysis technology for quickly detecting the pesticide residue of water bodies, foods and soil.

The invention provides a hardware Trojan horse detection method and a hardware Trojan horse detection system. The method includes the following steps: collecting a by-pass signal of a to-be-detected integrated circuit; extracting features of the by-pass signal to form a feature collection; calculating mahalanobis distance values, including a mahalanobis value of a reference integrated circuit and a mahalanobis value of the to-be-detected integrated circuit, of the feature collection; comparing the mahalanobis value of the reference integrated circuit with that of the to-be-detected integrated circuit, and performing hardware Trojan horse detection according to a comparison result. By the hardware Trojan horse detection method and the hardware Trojan horse detection system which have the advantages of simple algorithm and short detection time, distinguishability and efficiency of hardware Trojan horse detection in integrated circuit testing are effectively improved, and any cost for hardware is not generated.

The invention relates to an active controllable type capsule endoscope robot system comprising a capsule endoscope robot, a receiving memory, a motion control box and an image display system. A driving mechanism of the capsule endoscope robot generates the radial expansion and contraction of an oil bag and the extension and contraction of a capsule by a direct-current motor, a double-shaft multiplexing speed reducer and a geometer motion distribution mechanism and realizes progression and retrogression by matching according to a certain time sequence; after the capsule endoscope robot enters the gastrointestinal tract of a human body by oral administration, the capsule endoscope robot shoots the image information of each position of the gastrointestinal tract at real time by the self geometer creeping and transmits the image information outside the body in a wireless mode. In a part outside the body, the receiving memory is used for receiving and storing image data transmitted by the capsule endoscope robot in a wireless way; the motion control box controls the progression, the retrogression or the stop of the capsule endoscope robot in a wireless transmission mode so as to repeatedly observe a questionable position in the gastrointestinal tract; and the image display system reads and processes the image data recorded in the receiving memory at real time by a computer so as tobe observed and diagnosed by a doctor.

The invention discloses an indoor inspection robot system for a substation and an inspection method for the indoor inspection robot system. The indoor inspection robot system comprises a remote monitoring center and multiple robot terminals communicating with the remote monitoring center. Each robot terminal comprises a control module for controlling a robot to move in a three-dimensional space. The control modules drive movement modules so as to drive the robot to move in the X-axis direction, the Y-axis direction and the Z-axis direction and walk to the target detection position. Detection modules monitor the environment of the position and transmit monitoring data to the remote monitoring center. In the running and monitoring processes of the robot, safety protection modules keep detecting barriers and prevent the robot from moving out of the track. The remote monitoring center dispatches the robot terminals. By the adoption of the indoor inspection robot system for the substation and the inspection method for the indoor inspection robot system, the working labor intensity is lowered effectively, the substation operation and maintenance cost is lowered, the intelligent level and the automated level of normal inspection work and management are increased, and a detection means and an all-around safety guarantee are provided for intelligent substations and unmanned substations.

The invention provides a method for detecting trace elements in human body whole blood through an inductively coupled plasma mass spectrometry method and belongs to the technical field of biotechnical detection. The method comprises the following steps: (1) pre-treating a whole blood sample; (2) detecting a mixed element standard solution and a to-be-detected sample solution by an inductively coupled plasma mass spectrometer; and (3) performing quantitative analysis on a detection result and calculating the content of to-be-detected elements in the human body whole blood sample. The method provided by the invention can be used for simultaneously detecting the content of trace elements, such as magnesium, manganese, calcium, iron, copper, zinc and lead, in the human body whole blood; the sample dosage is less; the pretreatment is simple; the cost is low; the whole detection process is short in time and high in efficiency; the detection sensitivity and precision andthe detection stability are high.

The invention discloses a fire video detection and early warning method based on image multi-feature fusion, and the method comprises the steps: firstly carrying out the preprocessing after an image sequence of a video is obtained; extracting a foreground region, and obtaining a detected candidate region; secondly, extracting static features and dynamic features from the candidate areas, judging whether flames are contained or not by taking the static features and dynamic features as input of an SVM classifier when the flames are detected, and obtaining whether smoke is contained or not afterlogic combination selection and calculation are conducted on feature judgment results when the smoke is detected; finally, if it is detected that flames or smoke exists, carrying out fire judgment according to the growth trend of the flames or smoke; when it is judged that a fire occurs, carrying out fire alarm on the monitoring site, and otherwise carrying out fire alarm only on the background. The method can be combined with an existing monitoring system to be applied to places such as shopping malls and warehouses, the fire detection and early warning cost is reduced, the detection method is good in generalization ability and applicability, reliable fire detection and early warning functions can be provided, and the method has practical value.

The invention discloses a small molecule probe based on nano-gold and aptamer and a preparation method of the small molecule probe. The small molecule probe comprises nano-gold particles, more than one type of sulfydryl modifying deoxyribonucleic acid (DNA) fragment assembled on the nano-gold particles and more than one type of aptamer which is marked by fluorescent groups, and at least a part of fragments of the more than one type of the aptamer are complemented and hybridized with the more than one type of sulfydryl modifying DNA group. The small molecule probe is short in detecting time, simple in operation, high in specificity, good in repeatability, high in accuracy, and the false positive result is effectively reduced. By means of the aptamer technology, a high detection sensibility is achieved, and various molecules can be simultaneously detected.

The invention discloses a video-based method for detecting a violation lane-changing incident of a vehicle. The method mainly comprises the steps of: separating a target background in each frame of image in video to be treated through block-based binarization segmentation, selecting a block-based characteristic angular point, tracking a vehicle through a characteristic point of labeling a target, recording position information of the tracking point, and calculating a vehicle position proportional variance on the basis of a tracking track characteristic so that whether a vehicle changes a lane is judged. Compared with the prior art, the method provided by the invention can be used for detecting all vehicle targets in a video range without being limited by the environment and judging real-time video, has the advantages of short detection time, easy implementation and higher accuracy, is very suitable for detecting the violation lane-changing incident of the vehicle in real time, and has wide application prospect.

The invention discloses a website weak password detecting method which comprises the steps of conducting automatic scanning on a website based on a dispatching task to acquire user information of the website, wherein the user information comprises the user name, the code and the encryption method of the code; encrypting a weak password in a weak password dictionary based on the encryption method to acquire an encrypted weak password; matching the encrypted weak password with the code to acquire a weak password code and a normal code; conducting simulated login verification based on the weak password code and the user name corresponding to the weak password code. According to the method, weak password detection is efficiently and accurately conducted on the website, the omission ratio is low, and pressure on the website to be monitored is low.

The invention discloses a fluorescence immunochromatography device for detecting a novel coronavirus COVID-19 and a using method of the fluorescence immunochromatography device. The fluorescence immunochromatography device disclosed by the invention is high in sensitivity and strong in specificity, the accuracy is high, the detection sensitivity can reach 10pg / ml, the detection speed is high, theoperation is simple, the device is portable, the requirement for personnel is low, the operation of professionals is not needed, the detection cost is low, the device can be applied to preliminary screening of various places such as hospitals, airports, customs and disease control centers, the detection time (10-15 min) is short, a simpler, more convenient and faster field detection means is provided for suspected patient investigation and asymptomatic infected person screening, and therefore epidemic spreading is prevented as soon as possible.

The invention discloses an apparatus for detecting flatness, which comprises a laser module for emitting linear laser, a sensing module which is used for acquiring multiple detecting images when the laser radiates on different positions of an object to be detected, an image processing module which is used for obtaining multiple laser images, an offset calculating module which is used for calculating image offsets of multiple points on the laser images corresponding to a preset reference surface, a displacement calculating module which is used for calculating the actual offset according to the image offsets and a preset algorithm, a figure forming module which is used for establishing waveform figures corresponding to the various laser images according to the actual offsets, a calculating module which is used for adding the multiple waveform figures to obtain a detecting curve, a flatness calculating module which is used for comparing the detecting curve with a preset standard carve to obtain the flatness of the object to be detected. Furthermore, the invention discloses a corresponding method. According to the apparatus and the method, the flatness can be detected by the optical principle and simple three-dimensional shaping data treatment. Compared with the conventional technology, the apparatus and the method are less in calculation amount and shorter in detection duration.

The invention discloses a traditional Chinese medicinal material microscopic image noise filtering system and method adopting a pulse coupling neural network. A pulse coupling neural network model suitable for processing tissue image information is adopted for detecting traditional Chinese medicinal material microscopic images. When small-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, adaptive weighted filtering processing is carried out; when large-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, the introduction dual-structure element mathematical morphology with edge detailed information kept is adopted for secondary filtering. Earlier foundations are laid for further improving quality testing, recognition and identification of traditional Chinese medicinal materials; higher noisy point detection performance is achieved, the noise fallout ratio and omission ratio are low, and the noise detection precision is high; detection time is short, and automatism is high; noise is removed, meanwhile, noise interference can be effectively filtered out, and image edge details and other information can be protected well.

The invention discloses a glucose detection sensor, and preparation and application methods thereof. The sensor comprises a three-electrode system, wherein a graphene / chitosan / glucose oxidase deposition modified glassy carbon electrode is used as a working electrode, a platinum sheet is used as a counter electrode, and a calomel electrode is used as a reference electrode. In the detection process, by using the graphene / chitosan / glucose oxidase deposition modified glassy carbon electrode as the working electrode, the platinum sheet as the counter electrode and the calomel electrode as the reference electrode, an electrochemical work station is utilized to determine the glucose content. Compared with the traditional method, the invention has the advantages of higher sensitivity and higher specificity, and the low detection limit is 4.0*10<-7> mol / L; and meanwhile, the glucose sensor has the advantages of simple preparation process, stable performance and short sample detection time, can be recycled, and is convenient to operate.

The invention relates to technology of fault diagnosis, and aims to provide a compressed air system and an intelligent pipe network leakage detecting method for the same. The intelligent pipe network leakage detecting method includes that signals of the pressure, the temperature and the flow of compressed air are acquired by a sensor mounted on a terminal delivery pipe network, and are transmitted to a low-pass filter circuit, received signals are coarsely filtered and are transmitted back to an upper computer by an A / D (analog / digital) conversion circuit via a lower computer, the upper computer obtains change relation of flow parameters along with time and the length of a pipeline according to actually measured data of a starting point and actually measured data of a finish point, and then a pipeline leakage detection function is realized by means of comparing theoretic output with actual output. The intelligent pipe network leakage detecting method adopting detection technology is high in leakage detection accuracy which is higher than 95 degrees, false alarm rate is lower than 3%, detection time is shorter than 55 seconds, sensitivity is high, and leakage quantity higher than 1.5% of delivery quantity of the pipeline can be detected. In addition, when the intelligent pipe network leakage detecting method is used for positioning a leakage point, precision is high, positioning precision error is lower than 1% of the total length of the pipeline, shutdown of a factory is avoided by means of online detection, and labor intensity of manual detection is reduced by means of online detection.

The invention relates to a fluorescence detection test paper for quickly detecting nitroaromatic explosives, a preparation method and application thereof. The preparation method comprises the following steps: preparing a fluorescence porous material based on polyhedral silsesquioxane, and loading the fluorescence porous material on filter paper to obtain nitroaromatic explosive detection test paper. The test paper is of very bright fluorescence under an ultraviolet lamp; the explosive detection test paper is soaked into a nitroaromatic explosive solution or the explosive solution is dropped on the test paper so as to judge whether nitroaromatic explosives are contained in a sample by observing whether a fluorescence quenching phenomenon occurs on the test paper. The raw materials are easy to get, the preparation method is simple and convenient, the fluorescence intensity of the test paper is high, the detection sensitivity is high, and the test paper can be prepared through fluorescence materials with different wavelengths. The fluorescence material adopted by the test paper is an insoluble material, the influence of a solvent on fluorescence intensity weakening of the test paper caused by the attenuation of the influence material is avoided, and the fluorescence detection test paper has wide application prospects.

The invention discloses a characterization method of a pore structure of porous concrete based on a CT (Computerized Tomography) technology. Pore structure parameters such as the plane porosity, the effective aperture and the aperture distribution of the porous concrete are obtained by analyzing a CT-scanned two-dimensional cross-sectional image through an image processing method. The characterization method specifically comprises the following steps: firstly, acquiring the two-dimensional cross-sectional image of the porous concrete by a CT scanner, and acquiring a clear pore distribution map by white and black binarization of the image by a computer; then, calculating the area representing a pore region by image processing software and converting the region into a circle with equal area; and finally, carrying out statistic analysis on data with pore grater than 1mm to obtain the pore structure parameters such as the plane porosity, the effective aperture and the aperture distribution of the porous concrete. By adopting the characterization method of the pore structure of the porous concrete, not only is the test method simple, but also the precision is high and the error is small.

The invention discloses a pulsed eddy current and electromagnetic ultrasonic composite based nondestructive body defect detecting method. Firstly, a permanent magnet is put on a round coil, an electromagnetic ultrasonic / pulsed eddy current composite probe is manufactured, a pulsed eddy current device is used for performing pulsed excitation on the probe, detecting signals are separated through a duplexer, filtered by a filter, acquired by a data acquisition system and analyzed, a separation and extraction algorithm is performed on mixed detecting signals in combination of developed strategies based on spectral analysis, filtering and the like, and composite signals are separated and extracted, so that eddy current detecting signals and ultrasonic detecting signals are extracted respectively from the mixed detecting signals and are used for detecting different types of defect information in different positions. The method for simultaneously separating and extracting the composite detecting signals has the advantages of high detection efficiency, wide detection range, compatibility for detection of both surface defects and deep defects, wider thickness detecting range and the like, and has a wider application prospect.

The present invention discloses a polygon contour similarity detection method. The method comprises: removing an irregular part in figures; establishing a mathematical model of two figures, a complete vector set that describes the figures establishing a feature matrix corresponding to the figures, and calculating an included angle between two adjacent edges; calculating the shortest distance between the two figures; and performing enhanced processing on a calculating result. The polygon contour similarity detection method improves the visual discrimination effect of a machine on figure similarity, and is especially helpful in solving the problem that it is not easy for people to discriminate high-similarity figures; the figure detection effect has relatively high stability and reliability; and the detection time is short, the operation is efficient, and the effect implementation cost is low. According to the polygon contour similarity detection method, only the edges of the figures are inquired, thereby reducing data processing amount. According to the polygon contour similarity detection method, the feature matrix of the figures is constructed, appropriate determination criteria are selected, multi-time enhancement nonlinear transformation is performed on feature matrix elements, and a similarity standard is established by using a multi-value and multi-standard weighted average, so that an algorithm is efficient and has relatively high stability.

The invention discloses a loop-mediated isothermal amplification detection primer group, a detection method and a detection kit for enterobacter sakazakii. Aiming at ompA genes of the enterobacter sakazakii, in the invention, a specific detection primer group, a detection kit containing the detection primer group, and a detection method utilizing the detection kit are designed and selected, so that detection is carried out on samples to be detected, especially milk powder, thus determining whether the specific gene segments of the enterobacter sakazakii exist, and further determining whether the samples to be detected contains the enterobacter sakazakii. According to the invention, the detection kit and the detection method have the advantages of high sensitivity, strong specificity, short detection time, without a PCR (polymerase chain reaction) instrument and an electrophoresis apparatus, are simple for operation process, are especially suitable for a basic detection mechanism and food enterprises for self check, and have important meaning for fast detecting milk powder and ensuring the safety of the milk powder.

The invention discloses a probe compound for identifying fluorine ions by combining spectral detection and bare eyes. The compound is a new compound formed by using excited state proton transfer compounds as a matrix and by silylation. The compound can be used for detecting fluorine ions, in particularly detecting fluorine ions in a water environment. Infiltrated test paper prepared by the compound is quick and convenient, the detection limit is low, and according to different excited wavelengths, two modes, namely an intensity identification mode and a chromaticity identification mode, can be selected respectively for better detection by an instrument and bare eyes.

The invention discloses a video-based vehicle speed detecting method, which includes the steps: firstly, acquiring a traffic road video, and preprocessing the video to obtain an image sequence with the pixel of 720X288 and only including gray-value information; secondly, selecting a vehicle tracking area of 2X8X90 in images, and extracting an image projection sequence from the nine-frame continuous images; thirdly, extracting the image projection sequence by a frame difference method and selecting characteristic values of the sequence, and obtaining positions of characteristic value points in a practical road by using the two-dimensional mapping relation (the relation from point to distance) in a mapping table; and finally, establishing a curve graph of the relation of the characteristic value points of the practical positions with time, and fitting vehicle speed with a least square method. Compared with the prior art, the video-based vehicle speed detecting method can be used for detecting the speed of all vehicles in the video range without being limited by the environment and judging the video in real time, and is short in detecting time, easy in implementation, high in accuracy and wide in application prospect.

A method of using an electronic nose for detecting freshness of river crucian carp includes the steps: (1) placing river crucian carp samples to be detected into a sample container, sealing and standing for 20-40min at the room temperature; (2) inserting a filtered gas probe of the electronic nose into the sample container for 40-60s, and collecting top gas; (3) enabling the gas to enter a gas sensor array for detection and analysis; and (4) collecting and storing related data of gas according to the specific process: (4-1) extracting response characteristic values of the gas sensor array, wherein the response characteristic values include an initial value, a stable value, rise time and rise rate; (4-2) curing a non-linear stochastic resonance algorithm into a digital signal processor internally arranged in the electronic nose, and inputting the original response characteristic values of the electronic nose into a DSP (digital signal processor) and outputting a signal-to-noise-ratio spectral characteristic value by computing; and (4-3) computing a freshness value of the river crucian carp according to a freshness prediction model and the signal-to-noise-ratio spectral characteristic value. The method is simple, convenient, rapid and effective.

The invention discloses a method for using an electronic nose to detect the freshness of chicken. The invention aims at providing a method which uses the electronic nose to detect the freshness of chicken, has the advantages of rapidity and simpleness, easy use and objective and reliable detection result, and can reduce the impact of storing conditions to the detection result. The method comprises the following steps: a chicken sample to be detected is put into a sealed container and then heated in water bath with thermostatic control; the heated chicken sample is put into a test room, and then smell sent by the sample is detected by a gas sensor array which consists of four gas sensors of different types; the data which is aquired by the gas sensor array is collected and processed; and then the freshness of chicken is judged according to the processing result of the data. The detection method uses an electronic nose which consists of four gas sensors of different types to detect the chicken sample, and has the advantages of objective, accurate, and fast detection result, good repeatability, simple analysis process and small using amount of sensors, and reduces the extraction of eigenvalues.

The invention provide an intelligent electric wheelchair, comprising sensor chips, handles, a foot training device, fixing plates, a back massage plate device, a touch control device, a seat, a leg massage device, a telescoping device, a connecting cross rod, a fixing frame, universal wheels, and a base. The back massage device is internally provided with a sitting posture adjusting module. The foot training device is internally provided with a virtual reality rehabilitation system, comprising a force signal acquisition and processing portion, a virtual reality man-machine interaction portion, and a muscle function evaluation portion. The touch control device is internally provided with an intelligent navigation system. The wheelchair can massage acupoints, and the virtual rehabilitation system improves interestingness of rehabilitation. The muscle function evaluation portion can realize evaluation of muscle rehabilitation effect. A voice identification module and a mobile phone APP terminal unit realize voice control of a mobile phone, so both hands are liberated, and use is more convenient. The intelligent navigation system can complete intelligent navigation, and the system is simple in operation and high in intelligent degree.

The invention discloses a lead ion specific detection sensor and a preparation method and a using method thereof. The sensor comprises a three-electrode system, wherein a glassy carbon electrode for depositing graphite, chitosan and Au nanoparticles is used as a working electrode of the system, a platinum sheet is used as a counter electrode, and a calomel electrode is used as a reference electrode. When in detection, in the three-electrode system in which the glassy carbon electrode for depositing graphite, chitosan and Au nanoparticles is used as the working electrode, the platinum sheet is used as the counter electrode and the calomel electrode is used as the reference electrode, an electrochemical workstation is used for performing constant-potential lead ion pre-enrichment; and after the enrichment is finished, the lead ion is detected by a differential pulse working mode. Through the detection sensor, simple and quick specific detection on the lead ion is realized; the lead ion with concentration as low as 0.01ug / L can be detected by the method; meanwhile, the lead ion sensor is simple to prepare, has stable performance and can be repeatedly used; and the sample detection time is short, and the operation is convenient.

The invention relates to a detecting method for multiple kinds of poly brominated diphenyl ethers in an aquatic product. The detecting method comprises the steps of carrying out extracting, degreasing, silicagel column purifying and concentrating on an aquatic product sample, and analyzing and detecting the aquatic product sample through gas chromatography-negative chemical ionization mass spectrometry. By adopting the treatment measures and proper technique parameters, the method is capable of simply, quickly and accurately measuring the contents of as much as 11 kinds of poly brominated diphenyl ethers in the aquatic product at the same time, and the method has the advantages of high detecting sensitivity, good stability, accurate result, and the like, thereby providing a reliable and quick detecting method for qualitatively and quantitatively detecting the residual poly brominated diphenyl ethers in the aquatic product and monitoring food safety.