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A Rapid Identification Method of Bactrocera cilifera (Hendel) with Species-Specific Primers(SS-COI) 认领 引用
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作者 Zhen Huang Qiongxia Guo 《Plant Diseases and Pests》 2021年第2期33-37,共5页
[Objective]The paper was to establish a rapid identification method of Bactrocera cilifera(Hendel)with species-specific primers(SS-COI).[Method]Using B.cilifera(Hendel)as the positive control,and 19 species of fruit f... [Objective]The paper was to establish a rapid identification method of Bactrocera cilifera(Hendel)with species-specific primers(SS-COI).[Method]Using B.cilifera(Hendel)as the positive control,and 19 species of fruit flies such as B.diaphora(Coquillett)and B.dorsalis(Hendel)as the negative controls,a pair of species-specific primers,YF290 and YR511,were designed and screened for accurate identification of B.cilifera,based on mitochondrial DNA COI sequence.[Result]The PCR products were amplified and detected by electrophoresis.Only a clear and single band was observed at about 222 bp in the positive control,while no bands were found in the other negative controls.[Conclusion]The established rapid identification method with species-specific primers(SS-COI)is of great practical significance for rapid identification of fruit flies intercepted from import and export fruits and vegetables at ports,and for rapid clearance and early warning of import fruits and vegetables at ports. 展开更多
关键词 Bactrocera cilifera(Hendel) Species-specific primers Species-specific PCR(SS-PCR) mt DNA COI Rapid identification
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Raman spectroscopy powered by machine learning methods for rapid identification of foodborne pathogens 认领 引用 被引量：4
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作者 Jiazheng Sun Di He Yuxin You 《Food Bioscience》 SCIE 2025年第4期1492-1502,共11页
Foodborne pathogens pose a serious threat to food safety,and micro-confocal Raman spectroscopy is emerging as a promising method for the rapid detection and identification of them.However,the high degree of similarity... Foodborne pathogens pose a serious threat to food safety,and micro-confocal Raman spectroscopy is emerging as a promising method for the rapid detection and identification of them.However,the high degree of similarity in the biochemical composition of different foodborne pathogens,particularly among the serotypes of the same genus,degrades the identification accuracy.To address this challenge,we optimized multiple machine learning methods based on Raman spectroscopy and performed a thorough comparative study on them for the discrimination and prediction of seven types of foodborne pathogens originating from five different genera.The results indicated that the improved clustering algorithms can identify phylogenetic relationships among pathogens,and the designed dual-scale Convolutional Neural Network(CNN)model achieved a superior identification performance,with a prediction accuracy exceeding 98.4%.These optimized machine-learning-driven Raman spectroscopy methods are expected to become a promising tool for the rapid detection of microbial contamination in food. 展开更多
关键词 Foodborne pathogens Raman spectroscopy Machine learning Deep learning Rapid identification
Rapid and High-throughput Identification of Recombinant Bacteria with Mass Spectrometry Assay 认领 引用 被引量：3
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作者 XIAO Di TAO Xiao Xia +5 位作者 WANG Peng LIU Guo Dong GONG Ya Nan ZHANG Hui Fang WANG Hai Bin ZHANG Jian Zhong 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2014年第4期250-258,共9页
Objective To construct a rapid and high-throughput assay for identifying recombinant bacteria based on mass spectrometry. Methods Matrix assisted laser desorption ionization time-of-flight mass spectrometry （MALDI-TO... Objective To construct a rapid and high-throughput assay for identifying recombinant bacteria based on mass spectrometry. Methods Matrix assisted laser desorption ionization time-of-flight mass spectrometry （MALDI-TOF MS） techniques were used to identify 12 recombinant proteins （10 of Yersinia pestis, 1 of Campylobacter jejuni and 1 of Helicobacter pylori）. A classification model for the various phase of recombinant bacteria was established, optimized and validated, using MALDI-TOF MS-CIinProTools system. The differences in the peptide mass spectra were analyzed by using Biotyper and FIexAnalysis softwares. Results Models of GA, SNN, and QC were established. After optimizing the parameters, the GA recognition model showed good classification capabilities： RC=100%, mean CVA=98.7% （the CVA was 96.4% in phase 1, 100% in phase 2, 98.4% in phase 3, and 100% in phase 4, respectively） and PPV=95}. This model can be used to classify the bacteria and their recombinant, which only requires 3.7x103 cells for analysis. The total time needed is only 10 min from protein extraction to reporting the result for one sample. Furthermore, this assay can automatically detect and test 96 samples concurrently. A total of 48 specific peaks （9, 16, 9, and 14 for the four stages, respectively） was found in the various phase of recombinant bacteria. Conclusion MALDI-TOF MS can be used as a fast, accurate, and high-throughput method to identify recombinant bacteria, which provide a new ideas not only for recombinant bacteria but also for the identification of mutant strains and bioterrorism pathogens. 展开更多
关键词 Recombinant bacteria MALDI-TOF MS ClinProTools Rapid identification Specific peaks
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Rapid identification of switched systems: A data-driven method in variational framework 认领 引用 被引量：1
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作者 LI ChunJiang HUANG ZhiLong +1 位作者 WANG Yong JIANG HanQing 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2021年第1期148-156,共9页
Switched systems, i.e., systems changing the parameter values(even structural forms) abruptly and randomly at arbitrary instants, have been extensively utilized in many fields of modern industries. Rapid identificatio... Switched systems, i.e., systems changing the parameter values(even structural forms) abruptly and randomly at arbitrary instants, have been extensively utilized in many fields of modern industries. Rapid identification of switched systems, i.e.,capturing all the changing instants and reconstructing the mathematical models rapidly, is of great significance for behavior prediction, performance evaluation and possible control, but is restricted by small data amount available. Here, the rapid identification problem is successfully solved by a data-driven method in variational framework. The data-driven method only requires a small amount of data due to the compact form of the variational description, and is robust to data noise due to the holistic viewpoint. Two numerical examples, i.e., Duffing oscillator and van der Pol system(as two representative systems in nonlinear dynamics), are adopted to illustrate its application, efficiency and robustness to noise. 展开更多
关键词 switched system rapid identification data-driven method small data amount robustness
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Fingerprint feature recognition method for solid waste based on LIBS 认领 引用
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作者 Ruixiao Huang Yongqi Lu +4 位作者 Jianing Xiao Yufei Yang Zhimin Zheng Jinzhong Yang Qifei Huang 《ENGINEERING Environment》 SCIE EI CAS CSCD 2026年第1期81-94,共14页
The foundation of solid waste resource utilization and disposal lies in identifying the types and characteristics of solid waste.However,owing to the complexity and mixed storage of solid waste types,classification is... The foundation of solid waste resource utilization and disposal lies in identifying the types and characteristics of solid waste.However,owing to the complexity and mixed storage of solid waste types,classification is difficult,which hinders the development of solid waste recycling and a circular economy.This study,which was based on laser-induced breakdown spectroscopy(LIBS),carried out rapid quantitative detection of 16 heavy metal elements.By using the Kruskal-Wallis H test method,heavy metal element fingerprint factors were selected,and characteristic distribution curves of heavy metal elements in different solid wastes were plotted to construct classification and identification models.The study revealed that the random forest model achieved the highest classification accuracy of 96.8%.Finally,LIBS was used to detect the elemental content in actual samples,and when combined with the model,the classification accuracy reached a maximum of 74.2%.This paper provides a method for identifying solid waste fingerprint features and a recognition model based on fingerprint features for the rapid identification of unknown solid waste,laying the foundation for waste property recognition and resource recovery. 展开更多
关键词 Circular economy Solid waste Quantitative detection Fingerprint features Rapid identification
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RESEARCH ON AUTOMATIC FOG IDENTIFICATION TECHNOLOGY BY METEOROLOGICAL SATELLITE REMOTE SENSING 认领 引用 被引量：2
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作者 周红妹 葛伟强 +2 位作者 柏桦 刘冬韡 杨引明 《Journal of Tropical Meteorology》 SCIE 2009年第1期28-37,共10页
There is an urgent need for the development of a method that can undertake rapid, effective, and accurate monitoring and identification of fog by satellite remote sensing, since heavy fog can cause enormous disasters ... There is an urgent need for the development of a method that can undertake rapid, effective, and accurate monitoring and identification of fog by satellite remote sensing, since heavy fog can cause enormous disasters to China’s national economy and people's lives and property in the urban and coastal areas. In this paper, the correlative relationship between the reflectivity of land surface and clouds in different time phases is found, based on the analysis of the radiative and satellite-based spectral characteristics of fog. Through calculation and analyses of the relative variability of the reflectivity in the images, the threshold to identify quasi-fog areas is generated automatically. Furthermore, using the technique of quick image run-length encoding, and in combination with such practical methods as analyzing texture and shape fractures, smoothness, and template characteristics, the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied, with good results in application. 展开更多
关键词 meteorological satellites remote sensing fog dynamic monitoring rapid and automatic identification methods
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Interpretation of standards for rapid polymerase chain reaction identification of traditional Chinese medicines 认领 引用
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作者 Shengxian Gu Yuyang Zhao +2 位作者 Yan Jin Ziyuan Chen Yuan Yuan 《Guideline and Standard in Chinese Medicine》 2025年第4期303-307,共5页
The rapid PCR identification technology plays a crucial role in the quality control of traditional Chinese medicinal materials and decoction pieces.This technology,based on the principle of polymerase chain reaction(P... The rapid PCR identification technology plays a crucial role in the quality control of traditional Chinese medicinal materials and decoction pieces.This technology,based on the principle of polymerase chain reaction(PCR),can quickly and accurately identify the authenticity of medicinal materials,thereby ensuring the safety and effectiveness of drugs.To promote the standardized development of rapid PCR identification,the China Association of Chinese Medicine has approved and issued 3 group standards led by the National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences.These standards are Quickly PCR Identification of Lonicerae japonicae flos(T/CACM 013-2016),Quickly PCR Identification of Bungarus parvus(T/CACM 012-2016),and Quickly PCR Identification of Rhizoma bletillae(T/CACM 1027.105-2018).This paper provides a detailed interpretation of the above standards,expounds on the principles,methods,and applications of rapid PCR identification,and its significance in the traditional Chinese medicine industry,so as to promote the development of rapid PCR identification and the inheritance and innovation of traditional Chinese medicine identification. 展开更多
关键词 rapid PCR identification chinese medicinal materials group standards polymerase chain reaction
Evaluation and application of an efficient plant DNA extraction protocol for laboratory and field testing 认领 引用 被引量：7
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作者 Qi WANG Xiaoxia SHEN +4 位作者 Tian QIU Wei WU Lin LI Zhi'an WANG Huixia SHOU 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2021年第2期99-111,共13页
Nucleic acids in plant tissue lysates can be captured quickly by a cellulose filter paper and prepared for amplification after a quick purification.In this study,a published filter paper strip method was modified by s... Nucleic acids in plant tissue lysates can be captured quickly by a cellulose filter paper and prepared for amplification after a quick purification.In this study,a published filter paper strip method was modified by sticking the filter paper on a polyvinyl chloride resin(PVC)sheet.This modified method is named EZ-D,for EASY DNA extraction.Compared with the original cetyl trimethylammonium bromide(CTAB)method,DNA extracted by EZ-D is more efficient in polymerase chain reaction(PCR)amplification due to the more stable performance of the EZ-D stick.The EZ-D method is also faster,easier,and cheaper.PCR analyses showed that DNA extracted from several types of plant tissues by EZ-D was appropriate for specific identification of biological samples.A regular PCR reaction can detect the EZ-D-extracted DNA template at concentration as low as 0.1 ng/μL.Evaluation of the EZ-D showed that DNA extracts could be successfully amplified by PCR reaction for DNA fragments up to 3000 bp in length and up to 80%in GC content.EZ-D was successfully used for DNA extraction from a variety of plant species and plant tissues.Moreover,when EZ-D was combined with the loop-mediated isothermal amplification(LAMP)method,DNA identification of biological samples could be achieved without the need for specialized equipment.As an optimized DNA purification method,EZ-D shows great advantages in application and can be used widely in laboratories where equipment is limited and rapid results are required. 展开更多
关键词 DNA extraction Cellulose filter paper Field test Genetically modified(GM)crops Chinese medicine ultra-fine powder Rapid molecular identification
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The targeted removal effect and mechanism analysis of two-way active chilled beam induced purification on virus in wards 认领 引用
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作者 Jiaxin Zhang Junjie Liu +3 位作者 Jinyu Liu Longhui Xu Shihao Wen Sumei Liu 《Building Simulation》 SCIE EI CSCD 2025年第7期1761-1783,共23页
During the COVID-19 pandemic,hospital wards served as crucial medical infrastructure for patient treatment.The existing ventilation systems in hospital wards are often criticized for their high energy consumption and ... During the COVID-19 pandemic,hospital wards served as crucial medical infrastructure for patient treatment.The existing ventilation systems in hospital wards are often criticized for their high energy consumption and poor pollutant removal.This study introduces an improved active chilled beam(ACB)system for wards.This system integrates an ionization module with the ACB,utilizing the ACB’s supply air jet and exhaust air convergence to create a directed airflow within the ward,effectively purifying aerosols.First,a validated CFD model is employed to simulate airflow generated by the ACB and the movement of aerosols exhaled by patients.Particle image velocimetry(PIV)is then used to visualize the indoor directed airflow created by the ACB.The targeted aerosol removal performance of the ACB system is quantitatively described using the TARGETING index.To address the cumbersome calculation of the TARGETING index,a qualitative rapid identification method for targeted ventilation is proposed.Finally,the purification effect of the ACB system in multipatient wards was optimized through theoretical analysis.Compared with existing systems,the improved ACB system enhances the targeted aerosol removal performance by 41.9%–62.5%,and achieves energy savings of 33.3%.In multipatient wards,the ACB system can reduce the cross-infection risk by 80.5%–91.0%. 展开更多
关键词 targeted aerosol removal active chilled beam system hospital ward rapid identification energy savings COVID-19
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