47 results about "Glucose signaling" patented technology

The invention relates to a flexible photonic skin, which comprises a functional layer disposed, a bonding layer composed of hypoallergenic polyvinyl ethyl ether for fixing the functional layer, and anencapsulated layer adhered to the bonding layer and composed of a polyurethane semipermeable film in order from bottom to top, The functional layer consists of two electrodes on both sides for collecting human ECG signals, and a polymer-based photonic integrated chip for collecting body temperature, pulse, blood pressure and blood glucose signals between the two electrodes, and the polymer-basedphotonic integrated chip processes and outputs the collected human ECG signals, human body temperature, pulse, blood pressure and blood glucose signals. The flexible photonic skin has the advantages of anti-electromagnetic interference, small size, light weight, good temperature resistance, strong multiplexing capability, and high sensitivity, and the equivalent modulus is equivalent to the humanskin modulus. The flexible photonic skin can use a Bragg waveguide raster and a MZI electro-optic modulator to continuously monitor physiological information such as body temperature, pulse, blood pressure, blood sugar and electrocardiogram, and improves the portability and comfort of active health monitoring.

The invention discloses a method for detecting clenbuterol hydrochloride residues based on a blood glucose meter, which belongs to the technical field of biological detection and immunosensors. The method comprises the following steps: (1) coating a clenbuterol hydrochloride complete antigen on the surfaces of magnetic beads, and blocking to obtain an immunomagnetic bead probe; (2) adding a secondary antibody to a colloidal gold solution, mixing, adding an invertase to obtain an enzyme-labeled secondary antibody; (3) adding the immunomagnetic bead probe and anti-clenbuterol hydrochloride antibody to to-be-detected solution, performing immunological reaction and magnetic separation to obtain a magnetic bead / antigen-antibody immune complex; and then adding the enzyme-labeled secondary antibody, performing reaction and magnetic separation to obtain a magnetic bead / antigen-antibody / enzyme-labeled secondary antibody immune complex; and (4) adding a sucrose solution to the magnetic bead / antigen-antibody / enzyme-labeled secondary antibody immune complex, performing hydrolysis reaction, detecting a glucose signal value with a blood glucose meter, and obtaining the clenbuterol hydrochloride residual level in the to-be-detected solution according to a standard curve. The method disclosed by the invention has the characteristics of simplicity in operation, fastness and accuracy in detection, high sensitivity, and the like.

The invention relates to a method for detecting ractopamine content in food. The method is characterized by comprising the following steps: preparing a capture probe; preparing a signal probe, treating a sample to be detected, and detecting by using a glucometer. Compared with the prior art, the method has the advantages that the signal is converted into a glucose signal which can be detected by the glucometer through an enzymatic effect, field detection of a nonsugar glucometer is realized, the stability is high, the detection limit is low, the detection range is wide. Moreover, the detection cost is low, the detection program is simple, the detection effect is good, particularly general staff can perform field detection, and the strict requirement that the professional staff need to operate in a lab in the prior art is avoided.

The invention discloses a universal blood glucose prediction method based on frequency band separation and data modeling, which comprises the steps that a human body subcutaneous blood glucose measurement signal is analyzed; the latent timing sequence dynamic characteristic of the human body subcutaneous blood glucose measurement signal is extracted; a frequency band separation threshold is defined; the subcutaneous blood glucose measurement signal is divided into a high frequency band and a low frequency band; timing sequence autocorrelation of a low frequency blood glucose signal is analyzed; and an autoegression blood glucose prediction model is established. According to the universal blood glucose prediction method, re-modeling for a new object is not required after the sufficient blood glucose measurement signals are acquired, and real-time blood glucose prediction can be performed by directly calling a prediction model of other individual, so that the modeling working capacity and the complexity are simplified greatly; the modeling cost can be lowered greatly; the prediction precision is improved due to the fact that a universal model adopts a method based on frequency band separation and latent variable modeling; and the universal blood glucose prediction method is easy to implement, and indicates a new direction for research of a blood glucose prediction modeling method.

The invention provides a method for identifying wild Astragalus membranaceus and cultivated Astragalus membranaceus. The hydrogen nuclear magnetic resonance spectrum of Astragalus membranaceus medicinal material is obtained by nuclear magnetic technology, the signals of sucrose, α-glucose and β-glucose are manually integrated respectively, and the integral area ratio of sucrose and glucose is calculated. According to the range of the ratio to judge the growth pattern of the unknown Astragalus membranaceus, the wild Astragalus membranaceus and the cultivated Astragalus membranaceus can be accurately identified. This method can be used for quality identification of Radix Astragali.