The direct ELISA was used to detect cells from pure cultures and nodules of Bradyrhizobium japonicum USDA110 and Rhizobium fredii RTt50. The optimum dilution of enzyme-linked conjugates, HRP-Ab110 and HRP-Ab50, was 1:3200 and 1:800 respectively. The optimum dilution of antibodies, Ab110 and Ab50, was 1:3200 and 1:800 separately. The optimum concentrations of antigens, USDA110 and RTt50, were both 6?10~7 cells/ml. Slow and fast-growing soybean rhizobiz can be detected and differentiated specifically by direct ELISA. Among a few strains of these two groups of soybean rhizobia, cross-reaction occurred. This was eliminated by absorption, so that specific strain could be identified by ELISA. The minimal concentration of antigen for detected was 2?10~5 cells/ml. It was found that nodules preserved by drying over silica gel or freezing were equally good, without loss in sensitivity of ELISA. ELISA was used to study the competition of USDA110 and RTt50 with indigenous rhizobia in soil pot experiment. Nodule occupacy of USDA110 ranged from 75-87.5% in different growing season of soybean and RTt50 ranged from 25-45%. The result showed that ELISA was more sensitive than agglutination.

The principle of human respiratory function test is decleared. The innovative testing parameters is proposed to optimize traditional calculation parameters based on a respiratory function test of one-time max respiratory flow and pressure. The parameters of respiratory function evaluation was preliminarily verified, and we have already got the expected experimental result. The research can be a valuable reference for the following respiratory function test in future.
Algorithms ; Humans ; Respiratory Function Tests

A recombinant strain Escherichia coli DH5alpha(pMD19-glnA) including Bacillus subtilis glnA gene was constructed. Capillary electrophoresis and nuclear magnetic resonance were used to determine qualitatively the product of transformation by recombinant strain, and the relative level of mRNA expression of glnA was also determined by fluorescence quantitative RT-PCR. Subsequently, SDS-PAGE (polyacrylamide gel electrophoresis) was used to analysis the relative level of protein. Surprisingly, there was no increase of glutamine production in this recombinant strain, but an obvious increase in the GABA (gamma-aminobutyric acid ) production. It was showed in the experiment that protein expression of the glutamine synthetase did not increase, although glnA gene can be transcribed normally in this recombined strain. The phenomenon of exogenous glnA gene interfering metabolism of Escherichia coli was worthy of further study.
Bacillus subtilis ; genetics ; Bacterial Proteins ; genetics ; metabolism ; Escherichia coli ; genetics ; metabolism ; Glutamate-Ammonia Ligase ; genetics ; metabolism ; RNA, Messenger ; genetics ; metabolism ; Recombination, Genetic ; gamma-Aminobutyric Acid ; biosynthesis

In order to study the effects of sleep-disordered breathing on human physiology and function, and to accurately and objectively evaluate the level of human sleep quality at night, it can help patients with respiratory disorders improve sleep quality. This paper elaborates the development process of a new multi-parameter sleep quality evaluation system from the hardware circuit design, software and algorithm analysis design of the system. The system hardware platform collects the physiological signals of the 11-channel nighttime sleep period, and displays and stores them in real time on the monitoring platform. After collecting the sleep data of the whole night, it can effectively assist the sleep doctor to sleep by combining the judgment of the sleep-time respiratory disorder, the determination of the sleep cardiovascular event, the determination of the sleep-aware response event, and the sleep structure staging. The quality of sleep in patients with disorders was deeply evaluated.
Algorithms ; Humans ; Sleep ; Sleep Apnea Syndromes ; Software

To address the issue of the difficulty in implementing non-invasive continuous blood pressure measurement technology in China,this study developed a high-performance synchronous electrocardiogram(ECG)and photoplethysmography(PPG)signal acquisition system.A PC-based human-computer interaction software platform was constructed,and continuous blood pressure measurement-related algorithms were integrated.Multiple feature parameters such as pulse wave transit time based on synchronous ECG and PPG signals were extracted,enabling non-invasive continuous blood pressure measurement.To verify the measurement accuracy of the system,tests and comparative verifications were carried out.The results demonstrated that the system could meet the requirements of relevant standards and have good application value.

A wireless wearable sleep monitoring system based on EEG signals is developed.The collected EEG signals are wirelessly sent to the PC or mobile phone Bluetooth APP for real-time display.The system is small in size,low in power consumption,and light in weight.It can be worn on the patient's forehead and is comfortable.It can be applied to home sleep monitoring scenarios and has good application value.The key performance indicators of the system are compared with the industry-related medical device measurement standards,and the measurement results are better than the special standards.

Cardiopulmonary exercise testing(CPET)refers to a method of measuring various indicators of the human body under gradually increasing exercise loads to objectively evaluate cardiopulmonary reserve function and exercise endurance.Currently,CPET detection systems primarily measure subjects'ECG,respiratory flow,oxygen(O2),and carbon dioxide(CO2)parameters.This paper introduces a non-invasive multi-parameter exercise cardiopulmonary function evaluation system that incorporates impedance cardiography monitoring.The system integrates impedance cardiography monitoring with conventional CPET detection parameters and detects changes in the hemodynamic parameters of the body during exercise,aiding in the evaluation of exercise capacity.Additionally,the system features a portable design with Wi-Fi wireless transmission,which enhances its applicability.

In the past 20 years,near infrared spectrum technology has been widely used in human body monitoring due to its non-invasive and real-time characteristics.Oxygen,as the main metabolic substance of the human body,is consumed the most in brain tissue.In order to prevent complications caused by a decrease in brain tissue oxygen during treatment,the patient's brain tissue blood oxygen saturation needs to be monitored in real time.Currently,most of the clinically used non-invasive cerebral blood oxygen detection equipments use dual wavelengths.Other substances on the detection path will cause errors in the measurement results.Therefore,this article proposes a three-wavelength method based on the basic principle of non-invasive monitoring of cerebral blood oxygen using near-infrared spectrum.The brain tissue oxygen saturation monitoring method of detecting light sources was initially verified through the built system,laying the foundation for subsequent system engineering.

ECG signals and sleep monitoring parameters complement each other and can be used for qualitative diagnosis of sleep apnea syndrome and cardio-related diseases.However,due to the limitations of the instrument volume and the detection environment,it is often challenging to integrate these two functions in practical applications.In this paper,a 12-lead dynamic electrocardiograph integrated with sleep monitoring is designed.The system's volume is reduced by combining the integrated ECG simulation front end with a miniature sensor.The system achieves the extraction,conditioning,and calculation of 12-lead ECG signals and sleep-related parameters and writes the data to a memory card in real time,which offers convenience for users and doctors in the diagnostic process.

Body temperature is an important physiological parameter of the human body and is used in medicine to reflect the physiological state and health status of the human body. At present, the commonly used clinical thermometers on the market are mainly divided into contact and non-contact types. Most of them are used for rapid body temperature measurement, and it is not easy to monitor body temperature changes in real time. This article introduces a new wearable wireless body temperature monitoring system based on NTC, which senses through NTC. The temperature changes are amplified and filtered, zeroed, and calibrated, and then the temperature data is uploaded to the mobile phone APP via Bluetooth in real time to achieve real-time accurate measurement of body temperature.
Body Temperature ; Cell Phone ; Humans ; Monitoring, Physiologic ; Temperature ; Wearable Electronic Devices ; Wireless Technology