Autonomous Pathogen Detection System (APDS) Assessment of Data Networking and Communications

2005 ◽  
Author(s):  
J Dzenitis ◽  
B D Henderer
Keyword(s):  
Pathogen Detection ◽  
Detection System ◽  
Data Networking

Autonomous Pathogen Detection System (APDS) NYC Spring 2005 Field Test Report May to July 2005

2005 ◽  
Author(s):  
J M Dzenitis ◽  
A J Makarewicz ◽  
D R Hadley ◽  
D M Gutierrez ◽  
T R Metz ◽  
...  
Keyword(s):  
Field Test ◽  
Pathogen Detection ◽  
Detection System ◽  
Test Report

scholarly journals The Validation of the Sample6 DETECTTM HT/L for AOAC Research Institute

2018 ◽  
Vol 101 (5) ◽  
pp. 1584-1592
Author(s):  
Kakolie Banerjee ◽  
Brittney Pierson ◽  
Chuxuan Hu ◽  
Elijah Carrier ◽  
Lauren Malsick ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Incubation Temperature ◽  
Detection System ◽  
Reference Method ◽  
Culture Method ◽  
The Elderly ◽  
Sample Volume ◽  
Test Portion ◽  
Environmental Surfaces ◽  
The Matrix

Abstract Background: Listeria spp. are an important foodborne human pathogen because of their ability to cause disease and high mortality in individuals, particularly pregnant women, neonates, the elderly, immunocompromised individuals, and children. The Sample6 DETECTTM HT/L Kit is a semi-automated qualitative pathogen detection system designed to detect Listeria spp. (L. monocytogenes, L. innocua, L. ivanovii, L. seeligeri, L. welshimeri, and L. marthii) in environmental samples using the Sample6 BioIlluminationTM technology. Objective: The study was done to evaluate the Sample6 DETECT HT/L Kit. The assay was evaluated for inclusivity, exclusivity, robustness, product consistency, and stability, and a matrix study of one environmental surface. Methods: The performance of the Sample6 DETECT HT/L was compared with U.S. Food and Drug Administration reference culture method for Listeria using an unpaired study design. Results: The Sample6 DETECT HT/L assay correctly identified all 50 inclusivity isolates and correctly excluded all 30 nontarget strains evaluated. The assay was not affected by minor variations in incubation temperature and time, or sample volume. Results across three production lots spanning the shelf life of the assay were consistent. In the matrix study, the Sample6 DETECT HT/L for Listeria correctly identified each test portion for the presence or absence of Listeria, and there were no statistically significant differences between candidate and reference method results. Conclusions: The data collected in this study demonstrate that the Sample6 DETECT HT/L assay is a reliable method for the detection of Listeria spp. on stainless-steel environmental surfaces after 22 h of enrichment.

A fully integrated bacterial pathogen detection system based on count-on-a-cartridge platform for rapid, ultrasensitive, highly accurate and culture-free assay

2020 ◽  
Vol 152 ◽  
pp. 112007 ◽  
Author(s):  
Won-Il Lee ◽  
Younghyeon Park ◽  
Sajal Shrivastava ◽  
Taekeon Jung ◽  
Montri Meeseepong ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Detection System ◽  
Bacterial Pathogen ◽  
Fully Integrated

Apds, a Network-Ready, Broad Spectrum, Environmental Pathogen Detection System

2006 ◽  
pp. 67-75
Author(s):  
F. P. Milanovich ◽  
J. Dzenitis ◽  
B. J. Hindson ◽  
A. J. Makarewicz ◽  
M. T. McBride ◽  
...  
Keyword(s):  
Broad Spectrum ◽  
Pathogen Detection ◽  
Detection System

scholarly journals A Portable Automatic Endpoint Detection System for Amplicons of Loop Mediated Isothermal Amplification on Microfluidic Compact Disk Platform

Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 5376-5389 ◽  
Author(s):  
Shah Uddin ◽  
Fatimah Ibrahim ◽  
Abkar Sayad ◽  
Aung Thiha ◽  
Koh Pei ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Detection System ◽  
Liquid Crystal Display ◽  
Foodborne Pathogen ◽  
Isothermal Amplification ◽  
Detection Methods ◽  
Endpoint Detection ◽  
Compact Disk ◽  
Loop Mediated Isothermal Amplification ◽  
The Impact

In recent years, many improvements have been made in foodborne pathogen detection methods to reduce the impact of food contamination. Several rapid methods have been developed with biosensor devices to improve the way of performing pathogen detection. This paper presents an automated endpoint detection system for amplicons generated by loop mediated isothermal amplification (LAMP) on a microfluidic compact disk platform. The developed detection system utilizes a monochromatic ultraviolet (UV) emitter for excitation of fluorescent labeled LAMP amplicons and a color sensor to detect the emitted florescence from target. Then it processes the sensor output and displays the detection results on liquid crystal display (LCD). The sensitivity test has been performed with detection limit up to 2.5 × 10−3 ng/µL with different DNA concentrations of Salmonella bacteria. This system allows a rapid and automatic endpoint detection which could lead to the development of a point-of-care diagnosis device for foodborne pathogens detection in a resource-limited environment.

A novel pathogen detection system based on high-resolution CE-SSCP using a triblock copolymer matrix

2010 ◽  
Vol 33 (11) ◽  
pp. 1639-1643 ◽  
Author(s):  
Gi Won Shin ◽  
Hee Sung Hwang ◽  
Sang Woo Seo ◽  
Mi-Hwa Oh ◽  
Chang Y. Ryu ◽  
...  
Keyword(s):  
High Resolution ◽  
Triblock Copolymer ◽  
Pathogen Detection ◽  
Detection System

AES Chemunex ADIAFOOD Detection System for Listeria spp. Environmental Sample Testing

2012 ◽  
Vol 95 (2) ◽  
pp. 435-445
Author(s):  
Daniel Plante ◽  
Yvan P Côté ◽  
louisiane Giovannetti1
Keyword(s):  
Stainless Steel ◽  
Environmental Sample ◽  
Pathogen Detection ◽  
Detection System ◽  
Realtime Pcr ◽  
Listeria Species ◽  
Environmental Surfaces ◽  
Sample Testing ◽  
Pcr Technology

Abstract The ADIAFOOD Detection System for the detection of Listeria species from environmental surfaces is based on realtime PCR technology and allows rapid pathogen detection within 21 h. The strength of the ADIAFOOD technology resides in its ability to rapidly and accurately detect Listeria species present on surfaces, such as stainless steel, plastic, ceramic, and sealed concrete. The technology is easy to use and versatile.

scholarly journals Development of a high-throughput real-time PCR system for detection of enzootic pathogens in pigs

2019 ◽  
Vol 32 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Nicole B. Goecke ◽  
Charlotte K. Hjulsager ◽  
Jesper S. Krog ◽  
Kerstin Skovgaard ◽  
Lars E. Larsen
Keyword(s):  
Real Time ◽  
High Throughput ◽  
Real Time Pcr ◽  
Pathogen Detection ◽  
Detection System ◽  
Working Hours ◽  
Negative Influence ◽  
Optimal Choice ◽  
National Veterinary Institute ◽  
Wide Range

Respiratory and intestinal diseases in pigs can have significant negative influence on productivity and animal welfare. A wide range of real-time PCR (rtPCR) assays are used in our laboratory (National Veterinary Institute, Technical University of Denmark) for pathogen detection, and PCR analyses are performed on traditional rtPCR platforms in which a limited number of samples can be analyzed per day given limitations in equipment and personnel. To mitigate these restrictions, rtPCR assays have been optimized for the high-throughput rtPCR BioMark platform (Fluidigm). Using this platform, we developed a high-throughput detection system that can be used for simultaneous examination of 48 samples with detection specificity for 18 selected respiratory and enteric viral and bacterial pathogens of high importance to Danish pig production. The rtPCR assays were validated and optimized to run under the same reaction conditions using a BioMark 48.48 dynamic array (DA) integrated fluidic circuit chip, and the sensitivity and specificity were assessed by testing known positive samples. Performance of the 48.48DA was similar to traditional rtPCR analysis, and the specificity of the 48.48DA was high. Application of the high-throughput platform has resulted in a significant reduction in cost and working hours and has provided production herds with a new innovative service with the potential to facilitate the optimal choice of disease control strategies such as vaccination and treatment.

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