210 results about "Drug assay" patented technology

The invention provides a construction method and application of a fingerprint spectrum of a liver-warming decoction, and belongs to the technical field of medicine detection.The construction method includes the steps that a test solution is prepared through the liver-warming decoction, acetonitrile (A)-0.08-0.12 wt% formic acid aqueous solution (B) serves as a mobile phase, and the fingerprint spectrum of the liver-warming decoction is obtained through high performance liquid chromatography detection; and a standard fingerprint spectrum is established and is used for quality evaluation or control in the whole process of research / development / production / clinical application of the liver-warming decoction. According to the construction method of the fingerprint spectrum of the liver-warming decoction, main medicinal material components in the liver-warming decoction can be detected through high performance liquid chromatography, so that the quality condition of the liver-warming decoction can be reflected more comprehensively.

The invention provides a method for detecting a genotoxic impurity TG707 in a macassavir raw material medicine and an intermediate TG7, and relates to the technical field of medicine detection, and the method comprises the step of detecting the genotoxic impurity TG707 in the macassavir raw material medicine or the intermediate TG7 sample by adopting a high performance liquid chromatography and mass spectrometry combined method, the mobile phase A is an ammonium acetate solution, and the mobile phase B is methanol. By adopting a liquid chromatography-mass spectrometry method and utilizing the selectivity of mass spectrum multi-channel monitoring, main components and impurities enter mass spectrum at the same time, the interference of high-concentration main components on the mass spectrum detection sensitivity is avoided, good separation on the mass spectrum is realized, and the sensitivity is relatively high; an ammonium acetate solution and methanol are used as mobile phases, so that the peak pattern and sensitivity of TG707 are ensured. The technical problems that in the prior art, the peak of TG707 on a liquid phase is between two peaks of a main component TG7, and baseline separation is difficult to achieve by replacing a chromatographic column and optimizing the fluidity gradient are solved.

The invention discloses a system and a method for rapidly detecting trace active ingredients of a medicine, belongs to the technical field of medicine detection, and relates to cross application of surface enhanced Raman spectroscopy and artificial intelligence. The system comprises a sample preparation module, a micro-fluidic enrichment module, a Raman spectrum acquisition module, a self-adaptive spectrum analysis module, a multi-component identification module and an intelligent report generation module, and efficient enrichment and nanogram-level detection of drug molecules are realized through an enhanced surface Raman scattering micro-fluidic chip. Intelligent identification and accurate quantification of complex spectral characteristics are realized by adopting a deep learning algorithm and a self-adaptive weight calculation method, synchronous detection of 5-10 active pharmaceutical ingredients is supported, the detection sensitivity reaches nanogram / milliliter level, the quantification error is less than 5%, the detection time of the whole process is 5-10 minutes, and the detection accuracy is high. The sensitivity, the accuracy and the efficiency of medicine quality detection are obviously improved.

Provided in the present invention is a method for detecting the fingerprint of an analgesic cream for knocks and falls, relating to the technical field of drug detection. The detection method comprises the following steps: preparing a test sample solution; preparing a reference sample solution; and injecting the test sample solution and the reference sample solution into a high performance liquid chromatograph, and recording the chromatogram. The method has the advantages of simplicity, stability, high precision, and good reproducibility. The method can conduct multicomponent fingerprint research on the analgesic cream for knocks and falls, and perform attribute research and similarity evaluation on main chromatographic peaks. The method comprehensively reflects the uniformity and stability of the analgesic cream for knocks and falls, and can evaluate, more comprehensively and scientifically, the quality of the analgesic cream for knocks and falls, thereby ensuring the quality and efficacy of the product.

The invention provides a method for quantitatively detecting a nitrosamine impurity in a macassavir raw material medicine and an intermediate TG9, and relates to the technical field of medicine detection, the method comprises the step of detecting the nitrosamine impurity in the macassavir raw material medicine or the intermediate TG9 sample by adopting a high performance liquid chromatography and mass spectrometry combined method, the mobile phase A is a formic acid solution, and the mobile phase B is a formic acid methanol solution; gradients, such as segmented gradients of the raw material medicines, are respectively designed for the intermediate and the raw material medicines through a dynamic gradient elution program, so that TG801, TG901 and TG1001 realize baseline separation; an acidic mobile phase is adopted, formic acid acetonitrile is added into the solution, protonation competition of nitrosamine impurities is inhibited, the ionization efficiency and stability are improved, the sensitivity is high, and the LOQ of the method is 0.033 ng / g. The technical problem that in the prior art, a method for quantitatively detecting three nitrosamine impurities in a macassavir raw material medicine and an intermediate TG9 does not exist is solved.

The invention discloses a TMPRSS2 protein inhibitor efficacy prediction calculation method. A scoring function is constructed through a logP value, a virtual docking score and living cell inhibitor effect data to predict a drug inhibition effect. The method specifically comprises the following steps: constructing a TMPRSS2 overexpression cell model to screen drugs; the cell viability of various potential inhibitors is detected, and high-toxicity inhibitors are eliminated through a CCK-8 experiment; using flow cytometry to detect the cell average fluorescence intensity through a TMPRSS2 fluorescent probe to evaluate the enzyme activity influence of the inhibitor, and calculating the IC30 value; measuring the logP value of an effective inhibitor, and predicting the binding capacity of the effective inhibitor and TMPRSS2 by using Schrodinger software to obtain a virtual docking score; and analyzing the relationship among the IC30 value, the logP value and the virtual docking score, and constructing a scoring function to predict the drug effect. According to the method, the drug effect prediction can be simply, conveniently and quickly carried out, the drug screening consumption is reduced, and the drug screening period is shortened.

The invention relates to the technical field of biological medicine, in particular to a drug screening model construction method based on airway organs, a model and application. The construction method of the drug screening model of the airway organoid comprises the steps of obtaining 2D airway epithelial cells, culturing the airway organoid, establishing an airway organoid inflammation model and / or establishing an airway organoid mucus secretion / goblet cell metaplasia model. Wherein the model is established according to the culture mode of the airway organ in cooperation with a specific stimulant for proliferation and differentiation. Compared with a traditional animal model, the organ-like model is low in cost and short in construction period, can better simulate the pathological process, can realize airway organ-like culture and establishment of an inflammation model and a mucus secretion / goblet cell metaplasia model at the same time, and has a good application prospect in drug detection of asthma and COPD diseases.

The invention discloses a method for detecting the content of effective components in a nerofloxacin malate capsule, and relates to the technical field of medicine detection and analysis, and the detection method comprises the following step: detecting the content of the effective components in the nerofloxacin malate capsule by adopting a high performance liquid chromatography. The invention provides the method for detecting the content of the effective components in the nerofloxacin malic acid capsule for the first time, and the inventor finds that the interference of non-effective components such as impurities and auxiliary materials in the nerofloxacin malic acid capsule can be effectively avoided by selecting a specific chromatographic column and a specific mobile phase for isocratic elution; the accuracy of detecting the content of the effective components in the nerofloxacin malic acid capsule is improved, the accurate quantification of the content of the nerofloxacin malic acid capsule is realized, and the blank in the prior art is filled.

The invention provides a preparation method and drug detection application of ZIF-8-Fe metal organic framework nano-enzyme, the ZIF-8-Fe metal organic framework nano-enzyme is prepared by adopting a heating reflux method, and peroxidase-like activity and drug detection application of the ZIF-8-Fe metal organic framework nano-enzyme are researched. In the presence of H2O2, the material can catalytically oxidize TMB to generate a blue product and shows good peroxidase activity, and through optimization experiments, proper reaction temperature and pH buffer system and optimal concentrations of ZIF-8-Fe, TMB and H2O2 are determined. Kinetic analysis shows that the affinity of TMB is superior to that of natural HRP, and a colorimetric detection method is established based on the inhibition effect of TC on the catalytic reaction. The method disclosed by the invention is reasonable in linear range, relatively low in detection limit and good in sample recovery rate and relative standard deviation performance, can be used for detecting tetracycline tablets, and shows a potential application value of the ZIF-8-Fe nano-enzyme in the field of drug detection.

The invention discloses drug residue detection equipment for aquatic product quality safety, and relates to the technical field of aquatic product drug detection.The drug residue detection equipment comprises a sampling mechanism and a pressing plate installed at the top of the sampling mechanism, a detection mechanism is arranged at the bottom of the sampling mechanism, and a detection beaker is arranged in the detection mechanism; the sampling mechanism comprises a first lifting support, a first lifting motor is fixedly mounted at the top of the first lifting support, the output end of the first lifting motor is fixedly connected with a first lifting threaded rod, and the outer side of the first lifting threaded rod is in threaded connection with a first lifting threaded sleeve; a lifting limiting block is fixedly installed on the outer side of the first lifting threaded sleeve, after liquid sampling is conducted through a heating ring, a solution can be heated and evaporated, steam is discharged through a through hole, and therefore the concentration of the solution can be increased, medicine residues can be conveniently detected, and through rotation of a fan-shaped cutting knife and a cutting sleeve, the medicine residues can be conveniently detected. And aquatic products can be conveniently cut.

The invention discloses a graphene metasurface broadband terahertz molecular fingerprint recognition sensor, which comprises a periodic symmetric graphene double-opening square ring resonator deposited on a silicon dioxide substrate, and a continuous adjustable Quasi-BIC formant is generated by adjusting the Fermi level of graphene. According to the sensor, the sensitivity of 427 GHz / RIU and the quality factor of 15.2 are realized, and the absorption peak intensities of lactose and tyrosine molecules with the thickness of 0.1 mu m are respectively enhanced by 763 times and 548 times. The invention provides a new normal form for ultrasensitive trace biomolecule detection, and has important application value in the fields of biomedical diagnosis, food safety, drug detection and the like.

The invention belongs to the technical field of medicine detection, and particularly relates to a method for determining the content of impurities in OAB-14 by using high performance liquid chromatography. The method comprises the following steps: preparing a test sample labeling solution, a test sample solution and a contrast solution of OAB-14, respectively injecting the test sample labeling solution, the blank solution, the contrast solution and the test sample solution into a liquid chromatograph, recording chromatograms, and calculating according to a main component self-contrast method to obtain the content of impurities in the test sample solution; wherein the impurities are one or more of an impurity A, an impurity B, an impurity C, an impurity D, an impurity E or an impurity F. According to the method, the impurities in the OAB-14 can be qualitatively and quantitatively measured at the same time, the stability and the reproducibility are good, the separation degree between a main peak and each impurity peak is good, the precision is high, and an analysis means is provided for quality control of the OAB-14.

The invention belongs to the technical field of medicine detection, and particularly discloses a method for detecting related substances in sinomenine hydrochloride raw material medicine and application, and the method comprises the following steps: preparing a test solution; preparing a contrast solution; preparing a mixed impurity reference substance solution; according to the determination method, the five known impurities in the sinomenine hydrochloride raw material can be accurately and quantitatively analyzed, the impurity content of the sinomenine hydrochloride raw material can be more accurately and comprehensively reflected, and the quality of sinomenine hydrochloride can be better controlled.

The invention belongs to the technical field of medicine detection, and particularly relates to an ICPMS (Inductively Coupled Plasma Mass Spectrometry) detection method for element impurities in theophylline. The linear test solution, the blank solution and the theophylline test solution are subjected to ICPMS detection, the content of element impurities in the theophylline test solution is calculated according to an internal standard curve method, and the element impurities are one or more of cadmium, lead, arsenic, mercury, cobalt, vanadium, nickel, lithium, antimony or copper. The method is good in reproducibility and stability, high in accuracy and high in precision.

To accurately perform an audit of a medicine including a plurality of tablets.SOLUTION: A medicine audit device includes: a rotary disc 401 that rotates around a predetermined axis; a camera 501 that images a medicine placed on the rotating rotary disc 401; and an imaging / audit processing part that determines a type or the number of medicines imaged by the camera 501. In this case, for example, the camera 501 continuously images a plurality of medicine groups placed on the rotating rotary disc 401, and the imaging / audit processing part determines a type or the number of individual medicines in the medicine groups.SELECTED DRAWING: Figure 3

The invention relates to a detection method of a revivacin inhalation solution, and belongs to the technical field of medicine detection. According to the detection method provided by the invention, a revivin inhalation solution sample is analyzed by adopting high performance liquid chromatography to obtain the content of impurities in the revivin inhalation solution; the high performance liquid chromatography uses a phosphate buffer as a mobile phase A and acetonitrile as a mobile phase B, and the elution conditions are as follows: 0-5 min, the volume ratio of the mobile phase A to the mobile phase B is gradually changed from 95: 5 to 80: 20; the volume ratio of the mobile phase A to the mobile phase B is gradually changed from 80: 20 to 20: 80 in 5-30 min; the volume ratio of the mobile phase A to the mobile phase B is 95: 5. The method provided by the invention can realize accurate detection of five different impurities in the revienacin inhalation solution, and is beneficial to actual production quality control and improvement of drug safety.

The invention relates to the technical field of drug detection, in particular to a molecularly imprinted sensor for quantitatively detecting olanzapine in human blood as well as a preparation method and application of the molecularly imprinted sensor. Au-Pt NSF is deposited on the surface of a substrate electrode through an HBDT method, then a molecularly imprinted polyaniline layer is prepared through electro-polymerization, and the molecularly imprinted sensor is formed. A classical redox probe potassium hexacyanoferrate is used as a tool, and DPV is used for monitoring current change (delta I) caused by olanzapine addition, so that sensitive quantitative detection of olanzapine is realized. The sensor prepared by the invention shows a good linear relationship to olanzapine in the concentration ranges of 0.005-0.4 mu M and 0.4-10 mu M, the detection limit is 0.94 nM, and the sensor has high reproducibility and stability (relative standard deviation RSDlt;

The invention belongs to the technical field of medicine detection, and particularly relates to dipropyl malonic acid prepared by a dimethyl malonate method and a detection method of impurities of the dipropyl malonic acid. According to the detection method provided by the invention, the dipropyl malonic acid prepared by a dimethyl malonate method and impurities thereof are detected through high performance liquid chromatography (HPLC) for the first time; the impurities comprise propyl malonic acid, 2-methyl-2-propyl malonic acid, 2-propyl-2-butyl malonic acid, propyl malonic acid monomethyl ester, 2-methyl-2-propyl malonic acid monomethyl ester, dipropyl malonic acid monomethyl ester, 2-propyl-2-butyl malonic acid monomethyl ester, propyl malonic acid dimethyl ester, dipropyl malonic acid monopropyl ester and propyl malonic acid dimethyl ester; the invention relates to a method for preparing dipropyl malonic acid, which is selected from one or more of dipropyl malonic acid dimethyl ester, dipropyl malonic acid methyl ester propyl ester and 2-propyl-2-butyl malonic acid dimethyl ester, and solves the problems of quality control and process evaluation of dipropyl malonic acid serving as an intermediate of sodium valproate prepared by a dimethyl malonate method.

This invention discloses an intelligent batch dispensing device for mother liquor powder, comprising: a dispensing frame assembly including a first accommodating part and a second accommodating part; a frame rotation assembly including a rotation drive assembly and a rotation mounting base; a first feeding mechanism including a powder bottle feeding assembly and a powder bottle translation assembly; and a second feeding mechanism including a mother liquor bottle feeding assembly and a mother liquor bottle translation assembly. According to this invention, the intelligent batch dispensing device for mother liquor powder saves dispensing space due to the vertical arrangement of the first and second accommodating parts; a drug detection device is provided to read and identify the fixture and drug information; and the frame rotation assembly drives the rotation of the dispensing frame assembly, enabling the powder bottle translation assembly or the mother liquor bottle translation assembly to dispense the drug quickly and accurately, thereby improving dispensing efficiency.

The invention belongs to the technical field of medicine detection, and particularly relates to an LCMS (Liquid Chromatography Mass Spectrometry) detection method for histamine in prednisolone. Respectively injecting the reference solution, the test solution and the blank solution into an LCMS (Liquid Chromatography Mass Spectrometer), recording a spectrogram, and calculating the content of histamine in prednisolone by adopting an external standard method; wherein the detection condition of the LCMS comprises a mobile phase, and the mobile phase adopts acetonitrile as a mobile phase A and a 10mM ammonium formate aqueous solution containing 0.1 vol% of formic acid as a mobile phase B. The method is good in reproducibility and stability and high in precision.

We provide a flexible, AI-powered wearable patch system for non-invasive medication compliance monitoring. [Solution] This system 100 integrates physiological sensors 101 to detect heart rate variability, skin temperature, electrocutaneous activity, and swallowing-related muscle signals. A drug detection sensor 102 identifies interactions with drug containers, and a medication event sensor 103 detects gestures or physiological signals indicating medication. An embedded AI processor 104 receives multimodal sensor data and performs digital filtering, normalization, artifact removal, and machine learning-based classification to determine medication confirmation events, missed doses, or irregular medication patterns. A power management unit 105 controls the power supply to ensure continuous operation. A wireless communication module 106 transmits processed medication data to an external device. This enables reliable, objective, and real-time medication confirmation without relying on invasive ingestion sensors or patient reports.

Aspects and embodiments relate to apparatus and methods to identify whether a drug is present in a provided sample. One aspect provides a drug detection method to identify whether a drug is present in a provided sample, the method comprising: determining a first fluorescence spectral matrix associated with the provided sample by: excitation of the provided sample at a first excitation wavelength; and receiving a fluorescence emission spectrum generated by the provided sample at the first excitation wavelength; repeating the excitation and receiving steps across a range of excitation wavelengths which differ from the first excitation wavelength; determining a wavelength for irradiation of the sample to induce a photochemical change in the provided sample and irradiating the provided sample with radiation having the determined wavelength; determining a second fluorescence spectral matrix associated with the provided sample by: excitation of the provided sample at a first excitation wavelength; and receiving a fluorescence emission spectrum generated by the provided sample at the first excitation wavelength; repeating the excitation and receiving steps across a range of excitation wavelengths which differ from the first excitation wavelength; comparing the determined first and second fluorescence spectral matrix associated with the provided sample with a library of first and second fluorescence spectral matrices obtained from a plurality of drug samples; and if a match within a predetermined threshold is revealed by said comparison, triggering a positive identification of a drug in the provided sample. Aspects recognise that the rapid detection of certain drugs can be enhanced by augmenting a fluorescence spectral fingerprint based detection methodology with photochemical reactivity tracking. The hybrid photochemical fingerprinting methodology in accordance with aspects allows for capture of information on both: new fluorescent species that emerge as a result of a specifically induced photochemical reaction(s) notable detectable drugs, but also the loss of fluorescent / absorptive species as they are photochemically degraded. Both such physical changes are reflective of the specific chemistry of the analyte (drug) which is being tested for.

The invention relates to the technical field of drug detection and analysis, in particular to a diiodide detection method, dichloromethane-acetone-methanol-ammonia water (7: 1: 1: 1) is used as a developing solvent, the concentration of diiodide in reaction liquid during nitration reaction of diiodide in the lobaplatin production process is detected, the method can accurately judge whether nitration reaction is complete or not, and the detection result is accurate. And the diiodide is ensured to be completely reacted in the nitration reaction process. The obtained method is suitable for detecting and judging the lobaplatin nitration reaction endpoint, the result is accurate and reliable, good specificity, durability and solution stability are achieved, and the detection time is short.

The invention provides a traditional Chinese medicine composition for treating prosopalgia as well as a preparation method and a quality control method thereof, and belongs to the technical field of traditional Chinese medicines. On one hand, the invention provides a traditional Chinese medicine composition for treating prosopalgia; secondly, the invention provides a preparation method of the traditional Chinese medicine composition for treating trigeminal neuralgia. Thirdly, the invention further provides application of the traditional Chinese medicine composition in preparation of drugs for treating prosopalgia. Fourthly, the invention further provides a fingerprint spectrum construction method of the traditional Chinese medicine composition for treating trigeminal neuralgia. In the fifth aspect, the invention also provides application of the fingerprint spectrum in detection and quality control of drugs for treating trigeminal neuralgia.

The invention belongs to the technical field of medicine detection, particularly provides a GC method for rapidly identifying rhizoma dryopteris crassirhizomae and fake rhizoma dryopteris crassirhizomae, and particularly discloses application of trans-nerolidol in identification or auxiliary identification of rhizoma dryopteris crassirhizomae and fake rhizoma dryopteris crassirhizomae. Compared with the prior art, the method provided by the invention has the advantages that the content in the male fern rhizome is lower, the content in other male fern rhizome fake products is lower, the male fern rhizome can be used as the marker, and a male fern rhizome identification method is established, has a better linear relation, has specificity and is good in instrument precision, stability, repeatability and reproducibility; the quantitation limit of the trans-nerolidol is 0.139 mu g / ml, and the detection limit is 0.046 mu g / ml; the trans-nerolidol content of 32 batches of cyrtomium rhizome samples is 0.11%-1.39%, the trans-nerolidol content of rhizoma dryopteris crassirhizomae should not be less than 0.25%, and a more accurate method is provided for identification and quality control of rhizoma dryopteris crassirhizomae.

The invention discloses a primer group and a kit for drug detection of human chronic respiratory system diseases and application of the primer group and the kit, and aims to provide a detection method which is medium and high in throughput, low in cost, high in detection speed and simple and convenient to operate, the method comprises one or combination of more of a primer combination 1-a primer combination 23, and relates to the technical field of biological detection.

The present invention discloses a drug residue detection device, which relates to the field of drug detection technology. The drug residue detection device, through the cooperation of a liquid discharge pipe and a liquid mixing box, can complete the mixing and conveying operations of a solution to be detected, and through the provision of a conical filter, can complete a filtering operation when the solution to be detected enters the interior of the liquid discharge pipe, and can complete precipitation when the solution to be detected enters the interior of the liquid discharge pipe, thereby further preventing impurities from entering the interior of the detection box through the liquid guide pipe, improving the detection accuracy of the device, and being more convenient than traditional cleaning methods, and can facilitate the cleaning of residues in the liquid mixing box and filtered materials in the conical filter, effectively improving the cleaning effect of the device, and preventing drug residues from affecting subsequent detection accuracy.

The invention discloses a detection method for determining N-methylpiperazine in clozapine, and belongs to the technical field of drug detection, the detection method comprises solution preparation and detection; in the step of preparing the solution, clozapine is used for preparing a test solution, and N-methyl piperazine is used for preparing a reference solution; the detection comprises the following steps: determining the test solution and the reference solution by adopting a liquid chromatography-mass spectrometry method, recording a chromatogram, and calculating the content of N-methyl piperazine; in the detection, the conditions of liquid chromatography are as follows: a mobile phase is composed of a mobile phase A and a mobile phase B, and the mobile phase A is an aqueous solution of 0.048-0.052% trifluoroacetic acid; the mobile phase B is acetonitrile; according to the method, the genotoxic impurity N-methylpiperazine in the clozapine raw material medicine and the preparation can be quantitatively detected, the content of the impurity in the clozapine production and storage process can be conveniently monitored, the selectivity is high, the sensitivity is good, and the limit of quantitation can be as low as 0.165 ppm.

The invention provides a quality detection method and application of a liver-warming decoction, and belongs to the technical field of medicine detection.The quality detection method comprises the steps that the liver-warming decoction is used for preparing a test solution, acetonitrile (A)-0.08 wt%-0.12 wt% formic acid aqueous solution (B) serves as a mobile phase, gradient elution is adopted, and the quality of the liver-warming decoction is detected through ultra-high performance liquid chromatography-tandem mass spectrometry; the obtained detection result can be used for quality evaluation or control of the whole process of research / development / production / clinical application of the liver-warming decoction. According to the present invention, the UPLC-Q-TOF-MS method is adopted to perform qualitative analysis on the substance-based chemical components of the liver-warming decoction, such that the scientific basis is provided for the substance-based material basic research of the liver-warming decoction, and the main chemical components are clarified;

The invention discloses an aripiprazole raw material particle size detection method, and belongs to the technical field of drug detection. Technical breakthrough is realized through specific detection instrument type selection, key parameter optimization and system verification process construction: a new ParaThak laser particle analyzer equipped with an R5 measuring lens, an RODOS / M dispersion system and a VIBRI sample injector is selected, a standardized parameter system with dispersion pressure of 3.0 Bar, a sample injection rate of 70% and optical concentration of 5%-10% is determined, and the measurement accuracy of the system is improved. A complete detection process is formed through sample amount exploration, repeatability and precision verification. According to the present invention, with the core idea of determining the optical concentration control standard, optimizing the sample amount matching concentration and verifying the reliability of the method, the problem of poor optical concentration repeatability is solved, the stability and the accuracy of the detection data are significantly improved, and the reliable detection means is provided for the quality control of the aripiprazole raw material.