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Some edible Leguminous are toxic when raw, and the Chinese are particularly fond of beans, so Leguminous poisoning is very common in China. Rapid and accurate identification of poisoned species and determination of their toxic components would better assist physicians in treating patients. However, traditional morphology-based identification methods possess many limitations. DNA barcoding technique is a new species identification technique developed in recent years, which is expected to make up for the shortcomings of traditional morphological identification. In this study, a comprehensive evaluation system based on DNA barcoding and ELISA kits was attempted. A total of 30 Leguminous toxic plants were collected, involving 9 genera and 10 species. We used simulated gastric fluid (SGF) to simulate the human gastric environment. Three markers (rbcL, trnH-psbA, and ITS) were amplified and sequenced for all untreated and 15 mock-digested samples. The validity of DNA barcoding for species identification was assessed using the Basic Local Alignment Search Tool (BLAST) method and the tree construction method. The levels of three toxic components (saponin, phytoagglutin and trasylol) were determined in all samples using ELISA kits. The amplification success rate of all three regions was high (rbcL 96.67%, trnH-psbA 100%, and ITS 100%), but the sequencing of the trnH-psbA region was less satisfactory (66.67%), and SGF had a significant impact on the sequencing of the ITS region (After 40 min of SGF treatment, the sequencing success rate decreased by 46.67%). The samples from different species and origins contained different levels of toxic components, and the levels of all three substances decreased significantly after undergoing SGF digestion. After 1 h of SGF treatment, the saponin content decreased to 0–8.60% in untreated content (PHA decreased to 8.62–36.88%, trasylol decreased to 4.70–47.06%). The current results suggest that DNA barcoding has great potential for rapid identification of Leguminous poisoning in clinical settings. Toxins are probably not detectable in the patient for longer periods of poisoning. We recommend DNA barcoding technology as a first step for rapid screening and combined with toxin analysis for clinical diagnosis. [ABSTRACT FROM AUTHOR]

The digitalization of the automobile industry must depend on the information technology industry. The coupling development of the two creates conditions for the realization of industry 4.0 and intelligent manufacturing. The purpose of this paper is to make an empirical study on the possibility of coupling and the coupling degree, correlation degree, and innovation ability of China's automobile industry and information technology industry. This paper takes the intelligent manufacturing of the automobile industry as the research object. According to the current situation of China's automobile industry, this paper uses data to analyze and predict the development level of China's automobile industry and the gap with the foreign automobile industry. Firstly, it summarizes and analyzes the development of China's automobile industry and information technology industry. Then, the gray correlation analysis method is used to explore the factors affecting the innovation of China's automobile industry. It is found that the relationship between capital investment and innovation is the most significant in "industrial innovation investment." Finally, the coupling development model of the automobile industry and information technology industry is established, and the coupling degree of the two is analyzed by using the analytic hierarchy process and the Delphi method. The research of this paper mainly focuses on the automobile industry. Under the wave of internet, other industries such as the commerce and service industry also have a strong coupling relationship with the information technology industry, which will provide a new research direction for the follow-up research of experts and scholars. [ABSTRACT FROM AUTHOR]

The safe startup of micro gas turbine (MGT) generator system is the premise of normal operation. The whole start-up process contains motor startup, ignition, speed acceleration, motor switching to generator and power acceleration. Motor switching to generator happens at the self-sustaining state, which is significant to safe start-up process. However, characteristics of MGT generator system at self-sustaining state are hardly to investigate due to the lack of performance maps and complete experiments. Therefore, this work analyzed start-up schedule and presented a theoretical and experimental study on the self-sustaining performance of MGT generator system, based on the self-designed 30 kW MGT generator system built in Jiangjin Turbocharger Plant, China. The self-sustaining speed boundary and fuel consumption area is determined from the aspects of safe startup. A novel principle for determining the self-sustaining point (SSP) is proposed. Results show that the self-sustaining state can be achieved only when speed is over 26,750 rpm, and the SSP is determined at the speed of 30,750 rpm based on the proposed principle. Finally, the self-sustaining TIT and natural gas flow are compared with the experimental data, with two relative errors both almost within 4%. This method is instructive to the MGT generator system startup process. • The startup process of MGT generator system is analyzed based on the operation laws of MGT. • Self-sustaining boundary and fuel consumption area are determined during the startup process. • A novel principle for determining the self-sustaining rotational speed is proposed. • Experimental tests at different environmental temperature and speed are conducted. • Error analysis between the model calculations and experimental data is made. [ABSTRACT FROM AUTHOR]