31 results about "Hplc dad" patented technology

This invention belongs to the field of plant and component detection, specifically relating to a method for detecting anthocyanin content in different varieties of Hibiscus mutabilis and its application. The technical problem solved by this invention is to provide a method for detecting anthocyanin content in different varieties of Hibiscus mutabilis. The content detection method of this invention includes: A. Extraction and processing of Hibiscus mutabilis anthocyanin samples: mainly including optimization of flower pretreatment and extraction methods. B. Detection of the content of the extracted Hibiscus mutabilis anthocyanins using high-performance liquid chromatography (HPLC): mainly including optimization of parameters such as mobile phase type, mobile phase ratio, detection wavelength, and injection volume. This detection method can be applied to the correlation study between Hibiscus mutabilis flower color and components, for molecular breeding of Hibiscus mutabilis flower color, and for detecting the anthocyanin content of different Hibiscus mutabilis varieties to identify varieties that are difficult to distinguish.

A chromatographic system for the simultaneous RP-HPLC quantification of aloin and curcumin, consisting of a C18 column, a PDA detector, a programmable solvent feed module and an optimized mobile phase of acetonitrile, methanol and water.

The invention discloses a fingerprint detection method for distinguishing tetrastigma hemsleyanum Diels et Gilg from origin of Zhejiang, Fujian and Guangxi Zhuang autonomous districts, which comprises the following steps: (1) collecting tetrastigma hemsleyanum Diels et Gilg samples from origin of Zhejiang, Fujian and Guangxi Zhuang autonomous districts, and drying in the sun; (2) preparing a test sample solution for the samples, and determining the test sample solution by adopting a high performance liquid chromatography to respectively generate contrast fingerprints of radix tetrastigme in the production places of the autonomous regions of Zhejiang, Fujian and Guangxi Zhuang; (3) generating a chromatogram of an unknown tetrastigma hemsleyanum Diels et Gilg sample by adopting a method in the step (2), carrying out similarity calculation on the chromatogram and the fingerprints of tetrastigma hemsleyanum Diels et Gilg in the autonomous regions of Zhejiang, Fujian and Guangxi Zhuang by adopting traditional Chinese medicine chromatographic fingerprint similarity evaluation system software, and if the similarity is more than 0.8, considering that the tetrastigma hemsleyanum Diels et Gilg belongs to the corresponding origin; and evaluating the producing area of the tetrastigma hemsleyanum sample. Tetrastigma hemsleyanum Diels et Gilg in different producing areas such as Zhejiang, Fujian and Guangxi Zhuang autonomous regions can be effectively distinguished, and quality evaluation and clinical medication of the Tetrastigma hemsleyanum Diels et Gilg are facilitated.

To provide a method for optimizing a safflower seed extraction process based on an ant colony optimization method and back propagation neural network.SOLUTION: A method for optimizing a safflower seed extraction process includes: extracting safflower seeds by ultrasonic waves, and conducting a single-factor experiment in which ultrasonic output, ethanol concentration, solid-liquid ratio, and extracted temperature are selected as affectors in the single-factor experiment; calculating the extraction ratio of CS and FS by using a HPLC method, and determining the optimal value of the affectors on the basis of the extraction ratio; and calculating the total evaluation value by using an entropy weighting method, and obtaining the optimal process parameter by using an ant colony optimization method and back propagation neural network model. Specific steps of the ant colony optimization method and back propagation neural network include a step of constructing a back propagation neural network, and a step of constructing the optimal neural network model of the ant colony optimization method.SELECTED DRAWING: Figure 4

This invention discloses a method for constructing a characteristic spectrum of Sophora japonica buds and a method for distinguishing Sophora japonica buds from their adulterants. The method involves performing high-performance liquid chromatography (HPLC) on the test sample solution and the reference solution under specific chromatographic conditions to obtain the characteristic spectrum. This method establishes a characteristic spectrum of saponin components in Sophora japonica buds to distinguish them from adulterants such as Sophora alopecuroides and Sophora oleifera. HPLC is used to compare and contrast standard decoctions of Sophora japonica buds and their adulterants, allowing for control of the intrinsic quality of the standard decoctions. This method comprehensively reflects the characteristics of the standard decoctions and provides a new analytical tool for the quality control of standard decoctions and granules of Sophora japonica buds, achieving the goal of identifying standard decoctions and granules of Sophora japonica buds and their adulterants.

This invention provides a method for constructing and applying a fingerprint spectrum of Chushi Weiling Decoction, belonging to the field of drug detection technology. The method involves first preparing a test solution using Chushi Weiling Decoction, then using acetonitrile (A)-0.18~0.22wt% formic acid aqueous solution as the mobile phase, and obtaining the fingerprint spectrum of Chushi Weiling Decoction through high-performance liquid chromatography (HPLC). A standard fingerprint spectrum is then established using the "Similarity Evaluation System for Chromatographic Fingerprint Spectrum of Traditional Chinese Medicine" for quality evaluation or control throughout the research, development, production, and clinical application of Chushi Weiling Decoction. This invention's method for constructing the fingerprint spectrum of Chushi Weiling Decoction enables the detection of the main medicinal components in Chushi Weiling Decoction solely through HPLC, thus providing a more comprehensive reflection of the quality status of Chushi Weiling Decoction.

The invention relates to the technical field of child neurotherapy, and provides a biomarker for diagnosing child epilepsy, which comprises colloidal fibrillary acidic protein with a concentration threshold of more than or equal to 12.5 ng / mL miR-124-3p by adopting a chemiluminescence immunoassay method, and with a concentration threshold of less than or equal to 0.45 times by adopting an RT-qPCR method; a high performance liquid chromatography method is adopted, and the concentration threshold value of the gamma-aminobutyric acid is smaller than or equal to 1.8 [mu] mo l / L. Preferably, the synergistic effect of the colloidal fiber acidic protein, the miR-124-3p and the gamma-aminobutyric acid meets the requirement. Colloidal fibrillary acidic protein, miR-124-3p and gamma-aminobutyric acid are jointly detected, a diagnostic index is introduced, the sensitivity reaches 95.0%, the specificity is 93.3%, the sensitivity is improved by about 30% compared with traditional single marker detection, the whole process is shorter than or equal to 25 minutes, the efficiency is remarkably improved compared with traditional EEG monitoring and gene detection, the size of the kit integrates a micro-fluidic chip and an AI algorithm, and the detection accuracy is greatly improved. The method is suitable for bedside detection of primary medical institutions.

A computer implementation method for predicting the HPLC retention time of one or more compounds using a machine learning model is disclosed. In particular, the use of a machine learning model to identify a suitable set of HPLC method parameters for separating two or more compounds in a composition is disclosed. Related systems and products are also described.

This invention provides a method for determining the content of proanthocyanidin B2 in processed medicinal slices, standard decoctions, and formulation granules of Bauhinia purpurea bark (Schisandra chinensis). The method includes: determining the content of proanthocyanidin B2 in the test solution and reference solution using high-performance liquid chromatography (HPLC) under the same detection conditions; calculating the content of proanthocyanidin B2 by external standard method based on the concentration of the reference solution, the peak area of ​​the reference solution in the chromatogram, and the areas of proanthocyanidin B2 in Bauhinia purpurea bark and the reference solution in the chromatogram; using a C18 column; mobile phase A being a 70:30 methanol-acetonitrile mixture, and mobile phase B being a 0.2% formic acid solution with gradient elution. This method not only enables quality control of Bauhinia purpurea bark raw materials but also provides effective detection and quality control methods for the entire production process of Bauhinia purpurea bark formulation granules, as well as the production of related derivatives and derivative products.

The present application relates to the technical field of traditional Chinese medicine detection, and relates to a detection method and quality control method for characteristic chromatogram of four seasons green formula granules, which is detected by ultra-high performance liquid chromatography, and chromatographic conditions are as follows: octadecylsilane bonded silica is used as filler, acetonitrile is used as mobile phase A, and 0.1% phosphoric acid solution is used as mobile phase B, and a gradient elution program includes: 0-15 min, the volume ratio of mobile phase A and mobile phase B is 8%:92%; 15-30 min, the volume ratio of mobile phase A and mobile phase B is 8%:92% to 18%:82%; 30-50 min, the volume ratio of mobile phase A and mobile phase B is 18%:82% to 22%:78%; 50-60 min, the volume ratio of mobile phase A and mobile phase B is 22%:78%; the characteristic chromatogram of four seasons green formula granules detected by the above method is stable in baseline, balanced in distribution, good in peak type, and good in peak separation degree.

The invention belongs to the field of traditional Chinese medicine analysis, and particularly relates to a method for determining the content of Zhuanshu granules by combining a specific chromatogram with multiple indexes. According to the method, a high performance liquid chromatography method is adopted, acetonitrile is taken as a mobile phase A, a 0.05-0.2% phosphoric acid aqueous solution is taken as a mobile phase B, the gradient elution condition is 0 min, the mobile phase A accounts for 14-16%, and the mobile phase B accounts for 84-86%; the mobile phase A accounts for 18-22%, and the mobile phase B accounts for 78-82%; the mobile phase A accounts for 38-42% and the mobile phase B accounts for 58-62% in 25 min, and the mobile phase A accounts for 38-42% and the mobile phase B accounts for 58-62% in 40 min. The specific chromatogram of 13 chromatographic peaks with hesperidin as a reference substance is established for the first time, qualitative and quantitative evaluation of multiple medicine flavors in the prescription is achieved at the same time, operation is easy and convenient, the cost is reduced, the efficiency is improved, and the overall quality control level of the Zhuanshu granules is improved.

The application belongs to the technical field of traditional Chinese medicine detection, and provides a quality evaluation method for asparagus cochinchinensis from different producing areas based on HPLC fingerprint spectrum. The quality evaluation method comprises the following steps: (1) preparing a test sample solution; (2) performing HPLC chromatographic analysis on the test sample solution; (3) preparing test sample solutions of asparagus cochinchinensis samples from different producing areas according to step (1), and performing sample injection under the chromatographic conditions of step (2) to generate different HPLC superimposed spectra of the asparagus cochinchinensis samples and a control fingerprint spectrum; (4) taking the control fingerprint spectrum as a reference, and applying a similarity evaluation system software to derive the similarity of the asparagus cochinchinensis samples from different producing areas and the control fingerprint spectrum. The method can collect asparagus cochinchinensis samples from different producing areas, perform sample extraction and detection, establish HPLC fingerprint spectra of asparagus cochinchinensis from different producing areas, obtain a control fingerprint spectrum, derive the similarity evaluation range of asparagus cochinchinensis from different producing areas, and provide a reference basis for comprehensively evaluating the quality of asparagus cochinchinensis from different producing areas.

The present application relates to a kind of traditional Chinese medicine composition or its preparation Shuangshenling granules characteristic map construction method and its application, the method uses high performance liquid chromatography method.Chromatographic conditions are as follows: chromatographic column: octadecylsilane bonding silica gel chromatographic column: mobile phase: with acetonitrile as mobile phase A, water or formic acid aqueous solution as mobile phase B, gradient elution is carried out.The method provided by the present application can obtain characteristic map with large information amount and high peak response value, avoids the singleness and one-sidedness of quality control, can effectively control the key quality attributes of Shuangshenling granules and other preparations, has rapid, simple, comprehensive reproducibility and stability, and is conducive to industrial industry popularization, and has important significance for Shuangshenling granules quality control standard.

The invention discloses a method for detecting effective components of a cervicitis treatment composition, which adopts high performance liquid chromatography for detection, and the chromatographic conditions are as follows: a chromatographic column is a C18 chromatographic column; the detection wavelength is 207 nm; a mobile phase A is a 0.2% phosphoric acid aqueous solution, a mobile phase B is acetonitrile, gradient elution is adopted, the mobile phase proportion is volume percent, and the elution procedure is as follows: 0-5 min, the mobile phase A is 100%, and the mobile phase B is 0%; the mobile phase A accounts for 100%-96% and the mobile phase B accounts for 0%-4% in 5-40 min; 40-60 min, the mobile phase A is 88%-58%, and the mobile phase B is 12%-42%; the mobile phase A accounts for 92% and the mobile phase B accounts for 8% in 60-80 min. The method disclosed by the invention can be used for simultaneously determining the components such as sophocarpidine, sophoridine, oxymatrine and amygdalin in the cervicitis composition, is convenient to operate, accurate in detection result and good in stability, and has very high practicability.

The invention relates to the technical field of quality detection of traditional Chinese medicines, and discloses a method for detecting a characteristic spectrum of Zhuishui decoction granules, which comprises the steps of preparation of a test solution, preparation of a reference medicinal material solution, preparation of a reference substance solution and determination, and is characterized in that the characteristic spectrum of the Zhuishui decoction granules is detected by preparing a plurality of reference medicinal material solutions and reference substance solutions in combination with high performance liquid chromatography. Various active components in the granules with the decoction can be detected at the same time, the internal quality and the medicinal effect material basis of the granules with the decoction can be comprehensively reflected, and the limitation of single component detection is avoided; through optimized extraction conditions and chromatographic conditions, effective extraction and separation of each component are ensured, the detection accuracy and sensitivity are improved, and the authenticity, the quality and the quality of the granules with soup can be accurately identified; meanwhile, the method has good repeatability and stability, the quality of the decoction granules can be effectively controlled, the consistency of different batches of products is guaranteed, and a guarantee is provided for the safety and effectiveness of clinical medication.

Provided herein is a high-pressure liquid chromatography (HPLC) method for detecting multispecific molecule formation after the multispecific molecule manufacturing or development process. The HPLC method provides a rapid, quantitative, real-time analysis of multispecific molecule formation.

This invention provides a rapid detection method and application for chili pepper spiciness based on specific thin-walled cell thickness, belonging to the field of chili pepper quality detection technology. The method uses the radial thickness of specific thin-walled cells on the inner side of the bright red chili pepper pericarp as a morphological marker. The thickness is measured through sampling, vibrating sectioning, and microscopic observation, and then substituted into the linear regression equation y = 25.751x - 3078.4, where x is the cell thickness in μm and y is the predicted Scoville Heat Unit (SHU) index, allowing for rapid calculation of spiciness. This invention establishes a direct correlation between chili pepper spiciness and cell morphological parameters for the first time, overcoming the limitations of traditional high-performance liquid chromatography (HPLC) methods (high cost, long cycle, sample destruction) and near-infrared spectroscopy (NIRS) methods (poor model versatility). This invention possesses outstanding advantages such as non-destructive, high efficiency, low cost, and high precision, making it particularly suitable for large-scale rapid screening of processing chili pepper breeding populations, significantly accelerating the breeding process.

The application discloses a method for constructing a fingerprint spectrum of radix isatidis, which comprises the following steps: preparing a radix isatidis sample solution; preparing a mixed control sample solution; and detecting the fingerprint spectrum of the radix isatidis by using an ultra performance liquid chromatography (UPLC) method, wherein a mobile phase system comprises a mobile phase A and a mobile phase B, the mobile phase A is a phosphoric acid aqueous solution, and the mobile phase B is an acetonitrile solution. The fingerprint spectrum of the radix isatidis provided by the application has 19 common peaks, and 10 components are identified. The UPLC fingerprint spectrum of the radix isatidis established by the application has good repeatability and precision, and the method is stable and reliable, so that the method can simultaneously and accurately and rapidly monitor the quality of multiple components of the radix isatidis, and provides a strong guarantee for controlling the quality of the radix isatidis and ensuring clinical curative effects.

This invention relates to the field of traditional Chinese medicine detection technology, specifically disclosing a method for constructing characteristic chromatograms of Sanguisorba officinalis and Sanguisorba longifolia formula granules. The method includes: preparation of a reference solution; preparation of a test solution: taking Sanguisorba officinalis formula granules or Sanguisorba longifolia formula granules, dissolving them in a solvent to obtain a test solution; determining the reference solution and test solution using high-performance liquid chromatography (HPLC) to obtain characteristic chromatograms of Sanguisorba officinalis and Sanguisorba longifolia formula granules; the HPLC chromatographic conditions are: detection wavelength: 225-235 nm for 0-16 min, 240-250 nm for 16.1-50 min; gradient elution using acetonitrile as mobile phase A and 0.15% formic acid solution as mobile phase B. This invention constructs UPLC characteristic chromatograms of Sanguisorba officinalis and Sanguisorba longifolia formula granules, with richer chromatographic peaks and better peak shapes, which can more comprehensively reflect the characteristics of Sanguisorba officinalis and Sanguisorba longifolia traditional Chinese medicine formula granules, enabling more comprehensive overall quality evaluation. The detection time is relatively shorter, and the method is stable, with good precision and reproducibility.

The invention provides a construction method and application of a kernel tablet characteristic spectrum. Comprising the following steps: 1, preparing a reference solution; step 2, preparing a test solution; and step 3, determining to obtain the specific chromatogram of the kernel tablets. The invention also relates to a construction method of the specific chromatogram of the seed and kernel tablets, which is used for carrying out comprehensive quality control on the seed and kernel tablets. The construction method of the specific chromatogram of the kernel tablets comprises the following steps: preparing a standard substance solution, preparing a test solution, determining by adopting high performance liquid chromatography, taking water (containing 0.1% of triethylamine and 0.1% of glacial acetic acid) as a mobile phase A, taking methanol as a mobile phase B, and adopting a specific gradient elution procedure to determine the specific chromatogram of the kernel tablets. The baseline of the characteristic chromatogram of the sub-kernel tablet obtained by the construction method is stable, the separation degree between characteristic peaks is relatively good, more chemical components can be displayed, and comprehensive research on the chemical components of the sub-kernel tablet is facilitated.

The application belongs to the technical field of traditional Chinese medicine preparation quality detection, and provides a method for establishing a water extract fingerprint of Xinnaoning capsules and application of the method. The method comprises preparation of a test solution of the Xinnaoning capsules, collection of HPLC chromatograms of each test solution by high performance liquid chromatography (HPLC), and similarity evaluation of the obtained chromatograms. The method of the application obtains a HPLC water extract standard fingerprint of the Xinnaoning capsules, and has the characteristics of high similarity, small difference between the fingerprints, and high accuracy, and meets the analysis requirements of the fingerprint, and reflects the integrity and uniformity of the sample. It is indicated that the water extract fingerprint established by the application is stable and reliable, and has important significance for component analysis, identification and quality control of the Xinnaoning capsule preparation, and provides technical support for more comprehensive and effective control of product quality.

The invention belongs to the field of analytical chemistry detection, and particularly relates to a method for detecting radiochemical purity of actinide [225Ac] conjugates. According to the method, high performance liquid chromatography is adopted to be connected with a gamma counter in series, a mobile phase comprises a mobile phase A and a mobile phase B, the mobile phase A is a mixed solution of buffer salt and a cation pair reagent, and the mobile phase B is acetonitrile. The detection method can accurately detect the radiochemical purity of the 225Ac conjugate, is stable, reliable and high in sensitivity, and has important significance on quality control and research of actinide [225Ac] conjugate products.

The invention is applicable to the technical field of food quality analysis and machine learning, and provides a pyrazine fingerprint coupled stoichiometry and machine learning coffee origin tracing method, which sequentially comprises the following steps: pretreating coffee samples from different origins, and collecting chromatographic data of pyrazine compounds by adopting high performance liquid chromatography; establishing a fingerprint spectrum and carrying out similarity analysis; carrying out preliminary identification by utilizing a chemometrics method, exploring sample differences through clustering analysis and principal component analysis, and screening out five key chromatographic peaks with variable importance projection values greater than 1 based on an orthogonal partial least square method; and finally, by taking the key chromatographic peak data as input, constructing a coffee producing area classification model by utilizing a machine learning algorithm to realize accurate identification of the to-be-detected coffee producing area. Therefore, the defects of the traditional method in the aspects of accuracy and intelligence are overcome, and reliable technical support is provided for coffee quality control and origin traceability.

The invention relates to the technical field of biosensors, and discloses an organic electrochemical transistor sensor and a preparation method and application thereof. The organic electrochemical transistor sensor comprises a flexible insulating substrate; the source electrode, the drain electrode and the grid electrode are arranged on the flexible insulating substrate; the lead and the binding post are connected with the outside; a semiconductor channel layer is arranged between the source electrode and the drain electrode; the surface of the wire is covered with a protective layer. Wherein the heat-resistant temperature of the flexible insulating substrate is greater than or equal to 150 DEG C; the source electrode and the drain electrode are made of silver paste or graphite paste; the material of the grid electrode comprises Ag / AgCl slurry; the material of the semiconductor channel layer comprises PEDOT: PSS slurry; and the material of the protective layer comprises insulating polymer ink. The sensor realizes real-time and non-destructive monitoring of the encapsulation process of the lipid nanoparticles, and overcomes the defects of destructiveness of traditional high performance liquid chromatography and the like and hysteresis of an off-line detection method.

The invention belongs to the technical field of seed detection and analysis, and particularly relates to a construction method of a specific chromatogram of isatis tinctoria seeds and a detection method of the isatis tinctoria seeds. The construction method comprises the following steps: providing a reference substance solution, preparing a test solution by using isatis tinctoria seeds, detecting the reference substance solution and the test solution by adopting ultra-high performance liquid chromatography, and introducing a chromatogram obtained by detecting the reference substance solution and a chromatogram obtained by detecting the test solution into a traditional Chinese medicine chromatographic fingerprint similarity evaluation system. Formulating a characteristic spectrum of the isatis tinctoria seeds; a reference substance in the reference substance solution comprises one or more of (R, S)-epigoitrin and ferulic acid. The specific chromatogram of the isatis tinctoria seeds is constructed based on the ultra-high performance liquid chromatography, different cultivation types of isatis tinctoria seeds are distinguished from the perspective of chemical components (specific chromatogram), and the accuracy is high.

The present invention discloses a method for detecting the content of an active ingredient in nemonofloxacin malate capsules, relating to the technical field of drug detection and analysis. The method comprises the following steps: detecting the content of the active ingredient in the nemonofloxacin malate capsules using high performance liquid chromatography. The present invention provides, for the first time, a method for detecting the content of an active ingredient in nemonofloxacin malate capsules. The inventors have discovered that selecting a specific chromatographic column and a specific mobile phase for isocratic elution can effectively avoid interference from non-active ingredients such as impurities and excipients in the nemonofloxacin malate capsules, thereby improving the accuracy of detecting the content of the active ingredient in the nemonofloxacin malate capsules and achieving accurate quantification of the content of the nemonofloxacin malate capsules, thus filling a gap in the prior art.

This invention belongs to the field of analytical chemistry detection, specifically relating to a lutetium [ 177 A method for detecting the radiochemical purity of lutetium [Lu] conjugates. The method employs high-performance liquid chromatography (HPLC) with a tandem radioactive detector. The mobile phase comprises mobile phase A and mobile phase B, wherein mobile phase A is phosphoric acid and a phosphate buffer, and mobile phase B is selected as acetonitrile and / or methanol. This invention's detection method can accurately detect lutetium [Lu]. 177 The radiochemical purity of the Lu conjugate is high, and it is stable, reliable, and highly sensitive, especially for lutetium [ 177 The quality control and research of Lu conjugate products are of great significance.

The invention relates to a method for predicting the saponin content of fresh pseudo-ginseng slices. The method comprises the following steps: making the fresh pseudo-ginseng slices, collecting high-definition images of the slices, determining the saponin content of the pseudo-ginseng slices through high performance liquid chromatography, and constructing a data set; dividing the data set based on a stratified sampling strategy, and preprocessing a slice image; constructing a regression prediction model based on ConvNeXt-Swin hybrid architecture, and training the model by using the preprocessed data set and the corresponding slice image; inputting a to-be-detected fresh pseudo-ginseng slice image into the trained regression prediction model, and outputting a predicted value of the to-be-detected saponin content. According to the scheme provided by the invention, by constructing the regression prediction model based on the ConvNeXt-Swin hybrid architecture, the modeling capability of the model for the local color texture spatial dependency relationship can be enhanced, the prediction precision and the model generalization capability can be improved, and the refined demand of an industrial assembly line for real-time quality monitoring can be met.

This invention belongs to the field of traditional Chinese medicine quality testing technology, specifically disclosing a method for constructing a characteristic chromatogram and determining the content of *Actinidia chinensis* root. The method for constructing the characteristic chromatogram includes the following steps: S1: Take *Actinidia chinensis* root as a reference material, add 70% methanol for ultrasonic extraction, filter, and obtain a reference solution; separately take catechin, epicatechin, proanthocyanidin B1, and proanthocyanidin B2 reference standards, add 70% methanol to prepare a mixed reference solution; S2: Take *Actinidia chinensis* root powder, add 70% methanol for ultrasonic extraction, add weight, filter, and obtain the final product; S3: Inject the samples separately, record the chromatograms, and construct the characteristic chromatogram. This invention establishes a characteristic chromatogram of *Actinidia chinensis* root using high-performance liquid chromatography (HPLC) and simultaneously determines the content of four components: proanthocyanidin B1, catechin, proanthocyanidin B2, and epicatechin, achieving comprehensive, accurate, and stable quality control of *Actinidia chinensis* root.

The present application relates to the technical field of pharmaceutical analysis, and more particularly to a modeling method for predicting the content of multiple index components of day lily, comprising the following steps: S1, collecting day lily samples from multiple producing areas, preparing the samples into powders and collecting near-infrared spectra; S2, pre-processing the data collected by near-infrared spectroscopy; S3, determining the content of components including quercetin, kaempferol, isorhamnetin and beta-sitosterol in the day lily samples by high performance liquid chromatography as reference values; S4, dividing the near-infrared spectral data into a training set and a test set. The present application is a rapid prediction model for the content of multiple index components of day lily based on near-infrared spectroscopy technology and gradient boosting decision tree algorithm, which is simple in sample pre-treatment, fast in analysis, non-destructive and environmentally friendly, and has high model prediction accuracy, providing an efficient and reliable new technical means for the quality control of day lily medicinal materials.