A four-point quantitative detection method for shafts misalignment

2016 ◽  
Author(s):  
Xining Zhang
Keyword(s):  
Detection Method ◽  
Quantitative Detection

scholarly journals Development and Application of Quantitative Detection Method for Viral Hemorrhagic Septicemia Virus (VHSV) Genogroup IVa

Viruses ◽  
2014 ◽  
Vol 6 (5) ◽  
pp. 2204-2213 ◽  
Author(s):  
Jong-Oh Kim ◽  
Wi-Sik Kim ◽  
Si-Woo Kim ◽  
Hyun-Ja Han ◽  
Jin Kim ◽  
...  
Keyword(s):  
Detection Method ◽  
Quantitative Detection ◽  
Viral Hemorrhagic Septicemia Virus ◽  
Viral Hemorrhagic Septicemia

Extraction of norovirus based on nanomagnetic beads and establishment of a fluorescence quantitative detection method

2020 ◽  
Vol 10 (9) ◽  
pp. 1463-1469
Author(s):  
Hui Chen ◽  
Kai Liu ◽  
Ziqi Xiao ◽  
Shaoyong Chen ◽  
Hang Liu ◽  
...  
Keyword(s):  
Acute Gastroenteritis ◽  
Detection Method ◽  
Melting Curve ◽  
Reaction System ◽  
Threshold Value ◽  
Quantitative Detection ◽  
Rt Pcr ◽  
Effective Prevention ◽  
Positive Stool ◽  
Pcr Method

Norovirus infection is the main cause of epidemic acute gastroenteritis outbreaks. As a result, norovirus merits careful attention. Acute gastroenteritis caused by norovirus is very harmful, necessitating effective prevention and monitoring. This study extracted norovirus using the Fe3O4 nanomagnetic bead method while establishing a rapid and sensitive quantitative norovirus detection method for emergency use. Norovirus RNA was extracted from norovirus-positive stool samples, norovirus-specific primers were designed, and SYBR Green I fluorescent dye was used to construct specific fluorescence quantitative reverse-transcription polymerase chain reaction (RT-PCR) method. Norovirus in the sample was successfully detected with the quantitative RT-PCR method established in this study, with a measured cycle threshold value of 28.73; the melting temperature value of the PCR product was approximately 83.5 °C. Additionally, by analyzing melting curve with quantitative PCR and evaluating the repeatability of the detection method, the performance of the reaction system in terms of specificity and repeatability was determined to be good. The fluorescence quantitative detection method established here can rapidly and effectively detect norovirus, and the method has good specificity and high repeatability. Currently, there is a trend of norovirus infection becoming increasingly severe. Thus, this rapid and sensitive fluorescence quantitative detection method will play a significant role in the monitoring and detection of norovirus and is thus worthy of promotion and application.

scholarly journals Study on the Degradation Effect of Plant-Derived Active Ingredients on Organophosphorus Pesticides

2020 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Jun Sun ◽  
Tongxin Zhang
Keyword(s):  
Measurement Method ◽  
Detection Method ◽  
Organic Phosphorus ◽  
Organophosphorus Pesticides ◽  
Quantitative Detection ◽  
Active Ingredients ◽  
Degradation Rates ◽  
Before And After ◽  
Concentration Changes ◽  
Degradation Effect

In order to explore new ways and methods for the degradation of organophosphorus pesticides, the degradation effects of plant-derived active ingredients on three organophosphorus pesticides were studied. Mix Rhubarb, Pittosporum bark, Hibiscus bark, and Chinese gall in 9:4:3:2 parts by mass, crush and soak in water, use GC-MS quantitative detection method, rapid pesticide residue measurement method, and compare the organic phosphorus before and after the test Pesticide concentration changes, clarify its degradation effect on organophosphorus pesticides. The results showed that the degradation rates of chlorpyrifos and parathion were 93.2% and 92.9% in the extract within 2 minutes; the degradation rate of dichlorvos in the extract within 17 hours was 66.67%, and the degradation of chlorpyrifos within 11 hours the rate is 48.69%. This study shows that the extracts of rhubarb, sea tongs bark, hibiscus bark, and gallnut have significant degradation effects on chlorpyrifos, parathion, dichlorvos and other organophosphorus pesticides.

scholarly journals The Multiple Infections of Porcine Diarrhea Viruses in Local Area Based on A Luminex xTAG Multiplex Detection Method

2020 ◽  
Author(s):  
Huili liu ◽  
Ying Shi ◽  
Benqiang Li ◽  
Jie Tao ◽  
Jinghua Cheng
Keyword(s):  
Detection Method ◽  
Southern China ◽  
Local Area ◽  
Clinical Samples ◽  
Multiple Infections ◽  
Quantitative Detection ◽  
Multiplex Detection ◽  
Viral Diarrhea ◽  
Infection Pattern ◽  
Pcr Method

Abstract Background Porcine viral diarrhea can cause great damage to the pig industry. However, multiple infections have contributed to the poor control of diarrhea, which has also resulted in great difficulties in determining the main pathogenic factors. Methods A Luminex xTAG multiplex detection method was developed for the detection of 11 viral diarrhea pathogens, which allows for the simultaneous qualitative and quantitative detection of viral diarrhea pathogens in clinical samples. A total of 518 porcine stool specimens were collected from 9 pig herds in Shanghai, China from 2015 to 2017, and the pathogen spectrums and co-infections were analyzed. Results The minimum detection rate of the Luminex xTAG multiplex detection method was at least 10 times higher than the traditional PCR method. Of the 518 diarrhea samples, PEDV was found in 17.57% (91/518), PKoV in 40.35% (209/518), PAstV in 26.64% (138/518), PSV in 15.06% (78/518), PoSaV in 13.13% (68/518), PTV in 5.21% (27/518), PDCoV in 4.83% (25/518), PoRV in 3.28% (17/518), TGEV in 3.09% (16/518), PToV in 1.93% (10/518), and BVDV in 1.74% (9/518), respectively. Furthermore, multiple infections were commonly seen, with positive rate of 35.14%. Infection pattern of the viral diarrheal pathogens in a specific farm was changing, and different farms had the various diarrhea infection patterns. A longitudinal investigation showed that PEDV was still the key pathogen which was closely related to the death of diarrhea piglets. Other pathogens might play synergistic roles in the pathogenesis of diarrhea disease. Conclusions Here we provided a Luminex xTAG multiple detection method for viral diarrhea pathogen infection in clinical, which was more sensitive and specific than general multiplex PCR method. Furthermore, the surveillance confirmed high infection rate of PKoV, but PEDV was still the key pathogen and multiple pathogens synergistically complicated the infection status in southern China, suggesting that controlling porcine diarrhea might be more complex than previously thought. A better understanding of viruses that cause diarrhea in piglets will aid in better preventing and controlling epidemics of viral porcine diarrhea.

scholarly journals Epidemiological analysis of Porcine Viral Diarrhea Pathogens in Local Area

2020 ◽  
Author(s):  
Ying Shi ◽  
Benqiang Li ◽  
Jie Tao ◽  
Jinghua Cheng ◽  
Huili liu
Keyword(s):  
Prevention And Control ◽  
Detection Method ◽  
Multiple Infection ◽  
Clinical Samples ◽  
Quantitative Detection ◽  
Multiplex Detection ◽  
Diarrhea Virus ◽  
Viral Diarrhea ◽  
Pcr Method ◽  
And Control

Abstract Background Porcine viral diarrhea can cause great damage to the pig industry and high mortality to piglets. Furthermore, multiple pathogen infections and synergistic infections commonly existed in clinic. This has resulted in great difficulties in determining the main pathogenic factors, which would delay the prevention and control of diseases. Methods A total of 518 porcine stool specimens were collected from 9 pig herds in Shanghai, China from 2015 to 2017 and used for pathogen detection. A Luminex xTAG multiplex detection method was developed for the detection of 11 viral diarrhea pathogens, which allows for the simultaneous qualitative and quantitative detection of viral diarrhea pathogens in clinical samples. Results The minimum detection rate of the Luminex xTAG multiplex detection method was at least 10 times higher than the traditional PCR method. As a result, 209 (40.3%) were positive for porcine kobuvirus (PKoV), 138 (26.6%) for porcine astrovirus (PAstV), 91 (17.6%) for porcine epidemic diarrhea virus (PEDV), 78 (15.1%) for porcine sapelovirus (PSV), 68 (13.1%) for porcine sapovirus (PoSaV), 27 (5.2%) for porcine teschovirus (PTV), 25 (4.8%) for porcine deltacoronavirus (PDCoV), 17 (3.3%) for porcine rotavirus (PoRV), 16 (3.1%) for transmissible gastroenteritis virus (TGEV), 10 (1.9%) for porcine torovirus (PToV), and 9 (1.7%) for bovine viral diarrhea virus (BVDV), respectively. Furthermore, multiple infection rate of diarrhea sample was 17.57% for dual-infection, 11.58%for triple-infection, 4.63% for quadruple-infection, 0.77% for quintuple-infection, 0.58% for sextuple-infection and septuple-infection, respectively. Infection pattern of the viral diarrheal pathogens was changing, and different farm had the various diarrhea infection patterns, which proved the great importance of epidemiological surveillance and the guidance effect to clinical production. PoSaV, PoRV, PAstV, PToV and PEDV were indicated as the predominant viruses of clinical samples collected in 2017 by the quantitative analysis. Conclusions Here we provide a Luminex xTAG multiple detection method for viral diarrhea pathogen infection in clinical,which was more sensitive and specific than general multiplex PCR method. Furthermore, the surveillance confirmed the complicated infection status in China, which demonstrated the need for continuous surveillance and provided data for the prevention and control of viral diarrhea.

scholarly journals A Simple and Label-Free Detection of As3+ using 3-nitro-L-tyrosine as an As3+-chelating Ligand

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2857 ◽  
Author(s):  
Jin-Ho Park ◽  
Gyuho Yeom ◽  
Donggu Hong ◽  
Eun-Jung Jo ◽  
Chin-Ju Park ◽  
...  
Keyword(s):  
Detection Method ◽  
Color Change ◽  
Specific Property ◽  
Quantitative Detection ◽  
Label Free ◽  
Real Samples ◽  
Real Water Samples ◽  
Label Free Detection ◽  
Reaction Stoichiometry ◽  
Site Binding

A simple and rapid As3+ detection method using 3-nitro-L-tyrosine (N-Tyr) is reported. We discovered the specific property of N-Tyr, which specifically chelates As3+. The reaction between As3+ and N-Tyr induces a prompt color change to vivid yellow, concomitantly increasing the absorbance at 430 nm. The selectivity for As3+ is confirmed by competitive binding experiments with various metal ions (Hg2+, Pb2+, Cd2+, Cr3+, Mg2+, Ni2+, Cu2+, Fe2+, Ca2+, Zn2+, and Mn2+). Also, the N-Tyr binding site, binding affinity, and As3+/N-Tyr reaction stoichiometry are investigated. The specific reaction is utilized to design a sensor that enables the quantitative detection of As3+ in the 0.1–100 μM range with good linearity (R2 = 0.995). Furthermore, the method’s applicability for the analysis of real samples, e.g., tap and river water, is successfully confirmed, with good recoveries (94.32–109.15%) using As3+-spiked real water samples. We believe that our discovering and its application for As3+ analysis can be effectively utilized in environmental analyses such as those conducted in water management facilities, with simplicity, rapidity, and ease.

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