15 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.

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.

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.

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 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.

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.

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 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.

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.

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.