15 results about "Metabolic conversion" patented technology

A scalable and modular bioreactor defines a compact gas-liquid interface area populated with gas consuming microbes in a stacked arrangement for facilitating growth of the microbes in the presence of the greenhouse gases the microbes consume. A biofilm-based interface between liquid and gaseous regions of the reactor positions the microbes at the gas-liquid interface for metabolic exchanges of the gas for conversion into liquid and gaseous output. Microbes are selected for an affinity for a particular gas, such as methane (CH4), and metabolize carbon based outputs such as carbon biopolymers and gases such as carbon dioxide (CO2) and hydrogen (H2) for harvesting or recircling back for further metabolic conversions.

The invention discloses a high-flux toxicity pre-evaluation substitution method based on an acetylcholin esterase target. By integrating an SH-SY5Y nerve cell endogenous AChE and recombinant exogenous AChE dual detection system and relying on an automatic screening system constructed by integrating core equipment such as an automatic pipetting workstation, a constant-temperature incubator and a multifunctional microplate reader, a high-flux toxicity pre-evaluation substitution method based on an AChE target is successfully established and is used for evaluating the neurotoxicity of a compound, and the method has the advantages of high sensitivity, high sensitivity, high sensitivity and the like. The method solves the limitation that a single screening method in the prior art cannot evaluate factors such as target inhibition, cell permeability and metabolic transformation at the same time, and the method is simple, convenient, rapid, high in accuracy and suitable for large-scale primary screening of the AChE inhibitor and early warning of neurotoxicity risks.

The invention discloses a double-strategy screening method and system for active ingredients and target spots of medicinal and edible food, and belongs to the field of food science and computational chemistry. Aiming at the problems that a traditional molecular docking process is complex, the screening efficiency is low, metabolic transformation is ignored, intelligent scoring and research and development link splitting are lacked and the like, a multi-source database is integrated to construct a chemical component matrix, and double-strategy screening is adopted: target screening is combined with a metabolic enzyme system rule system and heterogeneous graph neural network scoring to recognize an active target; component screening is based on structural priori of a graph neural network, a ligand conformation library is generated by means of a conditional diffusion model, and activity and toxicity are predicted in combination with a multi-task graph neural network Food-GNN. Finally, the formula is optimized through an inference engine and an NSGA-III multi-target algorithm, end-to-end automation is achieved, the screening efficiency and target spot prediction accuracy are improved, and support is provided for modern development of medicine and food homology food.

The invention relates to the technical field of single cell analysis of cell biology and analytical chemistry, in particular to a flow type single cell scale adjustable device for electrospray ionization mass spectrometry and an adjusting method. According to the present invention, the detection requirements of multi-size cells can be met, the target cells with different sizes in the range of 10-100 [mu] m can be screened through the arched channel switching of the arched shunting capture module, and the comprehensiveness of the detection sample can be ensured. According to the device, the arched channels can be rapidly switched to adapt to cells of different sizes without disassembling the device, continuous operation of sample introduction, screening, extraction, ionization and detection is realized through integrated flow design, high throughput and convenience are taken into account, and the device is adaptive to diversified environmental pollutant exposure metabolism research scenes. The cell suspension and the diluent are mixed on line to reduce non-volatile salt interference, the high-voltage electric field and the sheath gas cooperate to improve ionization efficiency, qualitative and quantitative analysis is achieved through orbitrap mass spectrometry, reliable data support is provided for accumulation, distribution and metabolic transformation characteristics of pollutants in cells, and detection accuracy is guaranteed.

The invention relates to the technical field of metabolite detection, and particularly discloses a method for detecting trimethylamine in an excrement sample. By improving a sample treatment method and optimizing headspace-gas chromatography conditions, the invention provides the method for measuring trimethylamine in the excrement sample, which is simple and convenient to operate, high in accuracy, excellent in precision and strong in applicability. According to the detection method, an acidic medium-chain alcohol extract liquid compounded by n-hexanol and an inorganic strong acid dilute solution is selected to treat an excrement sample. The acidic medium-chain alcohol extract liquid not only can efficiently extract, enrich and fix trimethylamine in a sample, but also can block metabolic transformation of trimethylamine and a precursor thereof by quenching a microbial reaction, so that the anti-interference capability is improved. In cooperation with optimized headspace-gas chromatography detection conditions, the detection sensitivity and accuracy are further improved, and a stable and reliable technical support is provided for risk assessment of diseases related to intestinal flora metabolism.

The invention discloses a 2, 3-difluoro-4-(trans-4-propylcyclohexyl) butoxybenzene exposure biomarker and application of the 2, 3-difluoro-4-(trans-4-propylcyclohexyl) butoxybenzene exposure biomarker in human body load monitoring, and the exposure biomarker is more than one of compounds shown in a table 4. According to the invention, based on the I / II phase metabolic transformation rule of BDPRB, the full-spectrum screening of the exposed biomarker is realized by combining high-resolution mass spectrum data and a fragment ion search system; meanwhile, through metabolite peak area semi-quantitative analysis, the high-sensitivity exposure marker for monitoring the load in the human body is determined for the first time. According to the method, a potential target is locked through metabolic site energy simulation, and accurate molecular structure analysis of the BDPRB exposed biomarker can be realized by utilizing a fragment ion spectrum intelligent matching algorithm.

The invention relates to the technical field of food nutrition assessment and biotechnology crossing, in particular to a food nutrient biological value assessment method based on an intestinal organ model. The method comprises the following steps: S1, pre-treating food to be detected by adopting an in-vitro simulated gastrointestinal digestion system to generate a digestion product; and S2, introducing the digestion product into an intestinal organ-like culture system, simulating intestinal peristalsis and fluid movement between villi through a precise perfusion device, and carrying out dynamic co-culture. By combining the in-vitro simulated gastrointestinal digestive system and the dynamic co-culture system of the intestinal organs, the digestion and absorption process of the human intestinal tract can be simulated more truly; by monitoring kinetic parameters such as nutrient uptake, metabolic transformation, bioavailability and the like, high-flux and multi-dimensional evaluation on the biological value of the food nutrient can be realized, and the limitations of a traditional animal model or a static cell model in the aspects of prediction accuracy, flux and ethics are overcome.

The invention relates to the technical field of health management, in particular to a blood glucose and weight collaborative management method based on dynamic periodic glucose interruption intervention, which comprises the following steps: acquiring blood glucose data and weight data of a user; based on a comparison result of the blood glucose data and a personalized threshold value, dynamically triggering a high-strength sugar breaking period or a maintenance low-sugar period; performing extremely low-carbon water diet intervention in the sugar break period, and performing moderate low-carbon water diet intervention in the low-sugar period; and adjusting intervention parameters of the next period according to the weight change trend. According to the blood glucose and body weight collaborative management system and method based on dynamic periodic glucose interruption intervention, a glucose interruption-low glucose periodic alternating mechanism is created, metabolic conversion is induced by using a glucose interruption period, metabolic flexibility is consolidated and improved by using a low glucose period, and individual differences are adapted based on dynamic stage switching of a personalized blood glucose threshold value; through hardware cooperation, blood sugar and weight double-index real-time correlation analysis is realized, and personalized scheme making, special dietary food intelligent recommendation, real-time data monitoring and dynamic adjustment are realized.

A scalable and modular bioreactor defines a compact gas-liquid interface area populated with gas consuming microbes in a stacked arrangement for facilitating growth of the microbes in the presence of the greenhouse gases the microbes consume. A biofilm-based interface between liquid and gaseous regions of the reactor positions the microbes at the gas-liquid interface for metabolic exchanges of the gas for conversion into liquid and gaseous output. Microbes are selected for an affinity for a particular gas, such as methane (CH4), and metabolize carbon based outputs such as carbon biopolymers and gases such as carbon dioxide (CO2) and hydrogen (H2) for harvesting or recircling back for further metabolic conversions.

The invention belongs to the technical field of detection pretreatment equipment in multiple fields of food, non-food and the like, and provides an efficient and accurate multi-field sample preparation and separation device and a use method thereof.The efficient and accurate multi-field sample preparation and separation device comprises a treatment cylinder, a top cover is arranged at the top end of the treatment cylinder, and a smashing and homogenizing mechanism is arranged above the top cover; a discharging assembly is arranged below the processing barrel, supporting seats are fixedly connected to the bottom face of the processing barrel, and a weighing assembly is fixedly installed on the side faces, close to each other, of the two supporting seats. The variable frequency motor drives the driving rod, the driving disc and the smashing cutter to efficiently rotate, a homogenizing structure can be formed, one-stop rapid sample homogenizing can be achieved in cooperation with auxiliary liquid supply of the water injection electromagnetic valve and the water injection pipe, subsequent cryopreservation and repeated freezing and thawing are not needed, it is avoided that the biological activity of a sample induces drug metabolic conversion or structural isomerization, and the efficiency is high. And the detection result reflects the original residual state.

The invention relates to the technical field of metabolism simulation, in particular to a static simulation method for the metabolic process of pollutants coupling fish enteric microorganisms and digestive enzymes, which comprises the following steps: acquiring a fish enteric microorganism enrichment culture and an enteric enzyme extract, and analyzing the abundance of a fish enteric microorganism community and the variety of digestive enzymes; a static model composed of a gastric phase compartment, a midgut compartment and a hindgut compartment is constructed, and key incubation parameters such as culture medium volume, pH value, temperature, digestive enzyme activity and bile salt concentration of each compartment are determined. In the invention, the preparation and pre-stabilization method of the intestinal microbial liquid is particularly optimized, the authenticity of microbial metabolic activity is ensured, and the pairing relationship between pollution conversion and different digestion stages of fish is established by constructing a pollutant static metabolic conversion method of microbial community and digestive enzyme. The evaluation accuracy of the first-pass metabolic reaction of the pollutants is improved, and structural information of microorganisms, enzymes, the pollutants and substrates is integrated.

The invention belongs to the technical field of microbial metabolic engineering modification. The invention provides an acetyl coenzyme A synthase mutant. The amino acid sequence of the acetyl coenzyme A synthase mutant is shown as SEQ ID No.1 in a sequence table. The acetyl coenzyme A synthase mutant provided by the invention is remarkably improved in the aspects of improving acetic acid metabolic activity and acetylation resistance, on one hand, the acetyl coenzyme A synthase mutant can be used for improving the efficiency that acetic acid is metabolized and converted by a strain, and on the other hand, accumulation of a byproduct acetic acid in a biological metabolism process can be reduced.

This invention belongs to the field of component detection, specifically a method and system for intelligent detection and analysis of components of traditional Chinese medicine entering the bloodstream. The method includes: acquiring the chromatographic-mass spectrometry data stream of a traditional Chinese medicine sample entering the bloodstream; identifying preliminary sub-peaks and determining their initial parameters; constructing an asymmetric peak shape model to characterize the sub-peak profiles, iteratively optimizing the parameters using first and second optimization algorithms to minimize the sum of squared residuals between the reconstructed peak shape and the original data, and selecting characteristic peaks with acceptable signal-to-noise ratios; constructing an adaptive mother wavelet based on the refined parameters of the characteristic peaks, and performing a second continuous wavelet transform on the preprocessed data; merging all sub-peaks and performing global joint optimization using the model parameters as variables, matching metabolic transformation rules based on the difference in the exact mass number of peak pairs, evaluating the rationality of chromatographic behavior and abundance ratios, and applying rewards and penalties; and calculating the peak area, peak height, and exact retention time of each sub-peak based on the parameters after global optimization convergence.

The present invention relates to a method for screening for an equol producer by using personalized pharmaceutical meta-analytical screening (PMAS) technology. According to the method of the present invention, soybean isoflavone bioconversion by an intestinal microorganism is analyzed such that whether the microorganism is an equol producer can be determined. Therefore, by screening the metabolic conversion ability of the main components of soybeans, the difference in effects of individual functional materials can be easily determined.

This invention discloses urinary biomarkers for p-hydroxyacetophenone (PHAC) exposure and their application in human load monitoring. Based on the phase I / II metabolic transformation patterns of PHAC, this invention establishes a targeted screening list, enhances mass spectrometry fragment acquisition efficiency and qualitative analysis capabilities, and combines high-resolution mass spectrometry data with a fragment ion search system to achieve full-spectrum screening of urinary exposure biomarkers. Furthermore, it identifies potential targets through metabolic site energy simulation and utilizes a fragment ion mapping intelligent matching algorithm to achieve precise molecular structure and metabolic transformation pathway analysis of six PHAC urinary exposure biomarkers. Simultaneously, through semi-quantitative analysis of metabolite peak areas, it establishes, for the first time using non-invasive urine samples, highly sensitive PHAC exposure biomarkers suitable for human load monitoring.