Characterizing Response Variability and Method Uncertainty in Odour Perception Research

1999 ◽  
Vol 40 (6) ◽  
pp. 99-105
Author(s):  
Cynthia G. Jardine ◽  
Steve E. Hrudey
Keyword(s):  
Oil Sands ◽  
Detection Method ◽  
Response Variability ◽  
Fish Flesh ◽  
Odour Perception

Data previously collected to determine odour thresholds in fish flesh for individual contaminants identified as possible fish tainting substances from oil sands wastewaters were reanalyzed to determine both the variability in response for an 11 member panel and the range of uncertainty for the detection method. Results are presented for 8 compounds: naphthalene, 1-methylnaphthalene, 2,6-dimethylnaphthalene, 2,3,5-trimethylnaphthalene, 1.4-dimethylbenzene, benzothiophene, dibenzothiophene and 2,5-dimethylphenol. These results demonstrate that substantial variability was present in responses from a group of only 11 panelists who were selected for their sensitivity and consistency, while method uncertainty was tolerably narrow.

Threshold Detection Values of Potential Fish Tainting Substances from Oil Sands Wastewaters

1988 ◽  
Vol 20 (8-9) ◽  
pp. 19-25 ◽  
Author(s):  
C. G. Jardine ◽  
Steve E. Hrudey
Keyword(s):  
Oil Sands ◽  
Detection Threshold ◽  
Threshold Values ◽  
Sensory Panel ◽  
Athabasca River ◽  
Threshold Detection ◽  
Fish Flesh ◽  
River Fishery ◽  
Taste Detection

Chemical compounds associated with oil sands extraction and upgrading operations have been implicated in the tainting of the Athabasca River fishery, a commercial and subsistence fishery for local natives. Selected contaminants found in oil sands wastewaters, and judged to be candidate tainting compounds, were spiked in walleye flesh and subjected to screening odour and taste detection by a trained sensory panel. Twelve compounds were screened and 8 were pursued for determination of detection thresholds based upon 3 separate sessions with a minimum of 9 panelists. Taint detection threshold values ranging from 0.09 mg/kg for benzothiophene to 12.2 mg/kg for 2,6-dimethylnaphthalene were established. These values will assist in determining the significance of analytically determined concentrations of these compounds in fish flesh.

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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