• Korean Journal of Pharmacognosy
• /
• v.48 no.1
• /
• pp.77-81
• /
• 2017

The aim of this study was to investigate a validation method for determination of tricin in Phragmites communis ears. Tricin was isolated with chromatographic methods and used as the standard substances for quantitative analysis. The structural determination was characterized by comparing their NMR spectral data with values reported in the literature. For validation, the specificity, linearity, precision, accuracy, detection limits, and quantification limits of tricin was measured by HPLC. The results show that the specificity was satisfied with retention time and diode array detector (DAD) spectrum by analysis of tricin using HPLC. The limits of detection (LOD) for tricin was 0.84 mg/ml. Recovery of tricin was 98.80~108.22% with R.S.D values less than 2%. Intra-day and inter-day precisions of tricin in P. communis ears were 99.96~100.96% and 99.01~100.40%, respectively. Therefore, application of tricin was validated by an analytical method as major compound in P. communis ears.

• Animal Bioscience
• /
• v.34 no.9
• /
• pp.1532-1543
• /
• 2021

Objective: This study was aimed to establish a quantitative detection method for meat contamination based on specific polypeptides. Methods: Thermally stable peptides with good responses were screened by high resolution liquid chromatography tandem mass spectrometry. Standard curves of specific polypeptide were established by triple quadrupole mass spectrometry. Finally, the adulteration of commercial samples was detected according to the standard curve. Results: Fifteen thermally stable peptides with good responses were screened. The selected specific peptides can be detected stably in raw meat and deep processed meat with the detection limit up to 1% and have a good linear relationship with the corresponding muscle composition. Conclusion: This method can be effectively used for quantitative analysis of commercial samples.

• International Journal of Oral Biology
• /
• v.36 no.1
• /
• pp.1-6
• /
• 2011

The purpose of this study was to develop species-specific real-time quantitative PCR (RT-qPCR) primers for use in the detection of Aggregatibacter actinomycetemcomitans. These primers were designed based on the nucleotide sequences of the RNA polymerase ${\beta}$-subunit gene (rpoB). We assessed the specificity of the primers against nine strains of A. actinomycetemcomitans, eight strains (three species) of the Haemophilus genus, and 40 strains of 40 other oral bacterial species. Primer sensitivity was determined by testing serial dilutions of the purified genomic DNAs of A. actinomycetemcomitans ATCC $33384^T$. Our data reveal that we had obtained species-specific amplicons for all of the tested A. actinomycetemcomitans strains, and that none of these amplicons occurred in any of the other species. Our PCR protocol proved able to detect as little as 2 fg of A. actinomycetemcomitans chromosomal DNA. Our findings suggest that these qRT-PCR primers are suitable for application in epidemiological studies.

• Journal of Korean society of Dental Hygiene
• /
• v.15 no.6
• /
• pp.1063-1071
• /
• 2015

Objectives: The purpose of the study is to investigate the quantitative detection of periodontal pathogens before and after scaling by real-time polymerase chain reaction. Methods: Participants were voluntarily recruited at D university, and saliva samples were extracted before and after scaling. Multiple real-time polymerase chain reactions were used to analyze characteristics and the amount of nine kinds of periodontal pathogens; Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Prevotella intermedia, Fusobacterium nucleatum, Parvimonas micra, Campylobacter rectus, and Eikenella corrodens. Results: After scaling, most periodontal pathogens except Eikenella corrodens were significantly decreased in all subjects(p<0.05). In addition, the percentage of microorganisms associated with disease, the microorganism risk index of periodontitis and the prevalence of red complex, orange complex, and Aggregatibacter actinomycetemcomitans was also significantly reduced after scaling(p<0.05). Conclusions: Scaling decreased in the amount of major periodontal pathogens and periodontitis prevalence rate.

• International Journal of Oral Biology
• /
• v.41 no.3
• /
• pp.149-154
• /
• 2016

The purpose of this study was to develop Streptococcus sobrinus-specific qPCR primers based on the nucleotide sequence of the RNA polymerase ${\beta}-subunit$ gene (rpoB). The specificity of the primers was determined by conventional polymerase chain reaction (PCR) with 12 strains of S. sobrinus and 50 strains (50 species) of non-S. sobrinus bacteria. The sensitivity of the primers was determined by quantitative real-time PCR (qPCR) with serial dilutions of the purified genomic DNAs (40 ng to 4 fg) of S. sobrinus ATCC $33478^T$. The specificity data showed that the S. sobrinus-specific qPCR primers (RTSsob-F4/RTSsob-R4) detected only the genomic DNAs of S. sobrinus strains with a detection limit of up to 4 fg of S. sobrinus genomic DNA. Our results suggest that the RTSsob-F4/RTSsob-R4 primers are useful in detecting S. sobrinus with high sensitivity and specificity for epidemiological studies of dental caries..

• Journal of Veterinary Science
• /
• v.23 no.2
• /
• pp.21.1-21.7
• /
• 2022

Newcastle disease (ND), infectious laryngotracheitis (ILT) and avian metapneumovirus (aMPV) can be similar making it critical to quickly differentiate them. Herein, we adapted pre-existing molecular-based diagnostic assays for NDV and ILTV, and developed new assays for aMPV A and B, for use under synchronized thermocycling conditions. All assays performed equivalently with linearity over a 5 log₁₀ dynamic range, a reproducible (R² > 0.99) limit of detection of ≥ 10 target copies, and amplification efficiencies between 86.8%-98.2%. Using biological specimens for NDV and ILTV showed 100% specificity. Identical amplification conditions will simplify procedures for detection in diagnostic laboratories.

• ETRI Journal
• /
• v.41 no.5
• /
• pp.684-695
• /
• 2019

In a cloud environment, performance degradation, or even downtime, of virtual machines (VMs) usually appears gradually along with anomalous states of VMs. To better characterize the state of a VM, all possible performance metrics are collected. For such high-dimensional datasets, this article proposes a feature extraction algorithm based on unsupervised fuzzy linear discriminant analysis with kernel (UFKLDA). By introducing the kernel method, UFKLDA can not only effectively deal with non-Gaussian datasets but also implement nonlinear feature extraction. Two sets of experiments were undertaken. In discriminability experiments, this article introduces quantitative criteria to measure discriminability among all classes of samples. The results show that UFKLDA improves discriminability compared with other popular feature extraction algorithms. In detection accuracy experiments, this article computes accuracy measures of an anomaly detection algorithm (i.e., C-SVM) on the original performance metrics and extracted features. The results show that anomaly detection with features extracted by UFKLDA improves the accuracy of detection in terms of sensitivity and specificity.

• Proceedings of the KSMRM Conference
• /
• 2007.10a
• /
• pp.42-42
• /
• 2007

• Industrial Engineering and Management Systems
• /
• v.4 no.2
• /
• pp.176-183
• /
• 2005

The theory of signal detection has been applied to a wide range of practical situation for a long time, including sonar detection, air traffic control and so on. In general, in this theory, sensitivity parametric index d' and bias parametric index $\beta$ are used to evaluated the performance of vigilance. These indices use observer's response "hit" and "false alarm" to explain and evaluate vigilance, but not considering reaction time. However, the reaction time of detecting should be considered in measuring vigilance in some supervisory tasks such as unlimited monitoring tasks (e.g., supervisors in nuclear plant). There are some researchers have used the segments of reaction time to generate a pair of probabilities of hit and false alarm probabilities and plot the receiver operating characteristic curve. The purpose of this study was to develop a quantitative vigilance-measuring model by fuzzy sets, which combined the concepts of hit, false alarm and reaction time. The model extends two-values logic to multi-values logic by membership functions of fuzzy sets. A simulated experiment of monitoring task in nuclear plant was carried out. Results indicated that the new vigilance-measuring model is more efficient than traditional indices; the characteristics of vigilance would be realized more clearly in unlimited monitoring task.

• Journal of Microbiology and Biotechnology
• /
• v.23 no.4
• /
• pp.555-559
• /
• 2013

Vibrio cholerae O1 and O139 are the major serotypes associated with illness, and some V. cholera non-O1 and non-O139 isolates produce cholera toxin. The present study describes a quantitative polymerase chain reaction (qPCR) assay for the species-specific detection and quantitation of V. cholera using a primer pair based on an outer membrane lipoprotein lolB gene for the amplification of a 195 bp DNA fragment. The qPCR primer set for the accurate diagnosis of V. cholera was developed from publically available genome sequences. This quantitative PCR-based method will potentially simplify and facilitate the diagnosis of this pathogen and guide disease management.