Effectiveness of Sampling Methods for Salmonella Detection on Processed Broilers

1978 ◽  
Vol 41 (5) ◽  
pp. 341-343 ◽  
Author(s):  
N. A. COX ◽  
A. J. MERCURI ◽  
D. A. TANNER ◽  
M. O. CARSON ◽  
J. E. THOMSON ◽  
...  
Keyword(s):  
Sampling Methods ◽  
Destructive Sampling ◽  
Significant Difference ◽  
Rinse Water ◽  
Non Destructive ◽  
Positive Results ◽  
Skin Samples

A total of 240 processed broiler carcasses (water-chilled and unfrozen) were each sampled by three methods (whole-carcass rinse, neck-skin rinse, and macerated neck skin) for detection of Salmonella. In addition to this, various procedures were compared: destructive (incubating the entire carcass with the rinse fluid) versus non-destructive (incubating the rinse water with concentrated lactose or selenite cystine broth added after removal of the carcass) sampling and pre-enrichment versus no pre-enrichment during Salmonella detection procedures. There was no significant difference (p < 0.05) between the percentage of Salmonella-positive carcasses obtained by destructive sampling and the percentage obtained by non-destructive samples of whole carcasses. There was also no significant difference (p < 0.05) in results obtained by rinsing and blending excised neck-skin samples. There was highly significant difference (p = 0.001), however, between whole carcass and neck-skin analyses. With whole-carcass sampling, 45% of the carcasses were positive for the presence of Salmonella while with rinsing or blending the neck skin of these same carcasses, only 11% and 12%, respectively, were positive for the organism. Pre-enrichment of the whole carcass, of the whole-carcass rinse, or of the neck-skin samples did not result in significantly greater percentages of positive results than did direct enrichment of these samples.

How effective are non-destructive sampling methods to assess aquatic invertebrate diversity in bromeliads?

Hydrobiologia ◽  
2010 ◽  
Vol 649 (1) ◽  
pp. 293-300 ◽  
Author(s):  
M. Jocque ◽  
A. Kernahan ◽  
A. Nobes ◽  
C. Willians ◽  
R. Field
Keyword(s):  
Sampling Methods ◽  
Aquatic Invertebrate ◽  
Destructive Sampling ◽  
Invertebrate Diversity ◽  
Non Destructive

Excavating sponges from the Adriatic Sea: description ofCliona adriaticasp. nov. (Demospongiae: Clionaidae) and estimation of its boring activity

2010 ◽  
Vol 91 (2) ◽  
pp. 339-346 ◽  
Author(s):  
B. Calcinai ◽  
G. Bavestrello ◽  
G. Cuttone ◽  
C. Cerrano
Keyword(s):  
Adriatic Sea ◽  
Sampling Methods ◽  
Destructive Sampling ◽  
Excavating Sponges ◽  
Large Size ◽  
Boring Sponge ◽  
Sponge Diversity ◽  
The Impact ◽  
Non Destructive ◽  
Rocky Bottoms

Boring sponge diversity in the area of the Conero Promontory, the most important rocky emergence on the west coast of the Adriatic Sea (Italy), was assessed. Four species were recorded; one of them,Cliona adriatica, is new and is described here. The new species differs from all the other excavating sponge species, characterized by yellow papillae and lacking or scarcity of microscleres, in the large size of the boring chambers and the presence of numerous styles.Cliona adriaticais present on about 12% of the surface of rocky bottoms in the Conero Promontory area. The impact of this highly destructive species on the carbonatic micritic rock of the promontory was evaluated calculating a relationship between the volume of the boring chambers and the surface of the epilithic portions. Consequently, it was estimated that 1 cm2of epilithic tissue corresponds to 8.5 g of excavated rock. The recorded correlation between the excavated volume and the area of the papillar zone (roughly the area of the substratum affected by the erosion) allows an estimation of the substratum removed by a boring sponge, using only visually oriented, non-destructive, sampling methods.

Evaluation of two non-destructive sampling methods for bean thrips (Thysanoptera: Thripidae) detection in navel oranges

2007 ◽  
Vol 26 (12) ◽  
pp. 1747-1754 ◽  
Author(s):  
J. Alex Harman ◽  
Chang Xuan Mao ◽  
L.J. Robinson ◽  
J.G. Morse
Keyword(s):  
Sampling Methods ◽  
Destructive Sampling ◽  
Non Destructive

scholarly journals Macrobenthos Community in the Littoral Zone Water Area of Iboih Beach Sabang, Aceh

2019 ◽  
Vol 1 (3) ◽  
pp. 107-117
Author(s):  
Rita Oktavia ◽  
Nurdian Amin
Keyword(s):  
Species Diversity ◽  
Littoral Zone ◽  
Sampling Methods ◽  
Diversity Index ◽  
Water Area ◽  
Sample Collection ◽  
Destructive Sampling ◽  
High Level ◽  
Non Destructive ◽  
Zone Water

The aim of this study is to know the macrobenthos community in the littoral zone water area of Iboih beach, Aceh. Sample collection is conducted by using plot size of 1 x 1 meter, destructive sampling and non-destructive sampling methods. The results shows that macrobenthos inventory on Rubiah Island in Sabang, Aceh with destructive sampling methods is amounted to 8 species from 5 families, while Benthos obtained from non-destructive sampling methods is amounted to 8 species from 6 families. Macrobenthos inventory on the water of natural tourism area of Iboih beach Sabang. Diversity index is moderate with H '= 1.22061, and non-destructive value H' = 1.31391. Includes the category of moderate diversity. In Payau waters with destructive H'= 1.74816, nondestructive with a value of H' = 1.7104. Has a moderate diversity index. Macroentent inventory of the Teupin Layeu Mangrove Waters of Sabang City found 27 and 29 species of benthos. Among them (Meretrik meretrik) is amounted to 44, (Anadara cunearca) is amounted to 36 and many other species. With species diversity H'= 3, 2114 indicates a high level of species diversity.

Fast Non-Destructive Detection of Wool Content in Blended Fabrics Based on Near-Infrared Spectroscopy Technology

2015 ◽  
Vol 671 ◽  
pp. 356-362 ◽  
Author(s):  
Zhi Feng Chen ◽  
Yuan Quan Hong ◽  
Chang Jiang Wan ◽  
Lian Ying Zhao
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Quantitative Model ◽  
National Standard ◽  
Fast Detection ◽  
Significant Difference ◽  
Validation Set ◽  
Non Destructive

A fast non-destructive method of detection of wool content in blended fabrics was studied based on Near Infrared spectroscopy technology in order to avoid the time-consuming, tedious work and the destruction of samples in the traditional inspection. 621 wool/nylon, wool/polyester and wool/nylon/polyester blended fabrics were taken as research objects. To get the wool content, we established the wool near-infrared quantitative model by partial least squares (PLS) method after analyzing the color and composition of the samples. For verifying the validity and practicability of the model, 100 samples were chosen as an independent validation set. The variance analysis shows that there is no significant difference between Near Infrared fast detection method and national standard method (GB/T2910-2009),which indicates that this method is expected to be a means of fast non-destructive detection and will have extensive application future in the field of wool content detection.

Duplex DNA barcoding allows accurate species determination of morphologically similar limpets (Patella spp.) from non-destructive sampling

2016 ◽  
Vol 97 (7) ◽  
pp. 1479-1482 ◽  
Author(s):  
Thomas J. Ashton ◽  
Meriem Kayoueche-Reeve ◽  
Andrew J. Blight ◽  
Jon Moore ◽  
David M. Paterson
Keyword(s):  
Dna Barcoding ◽  
Species Abundance ◽  
Microscopic Analysis ◽  
Cost Effective ◽  
Field Studies ◽  
Similar Species ◽  
Species Determination ◽  
Destructive Sampling ◽  
Species Specific ◽  
Non Destructive

Accurate discrimination of two morphologically similar species of Patella limpets has been facilitated by using qPCR amplification of species-specific mitochondrial genomic regions. Cost-effective and non-destructive sampling is achieved using a mucus swab and simple sample lysis and dilution to create a PCR template. Results show 100% concurrence with dissection and microscopic analysis, and the technique has been employed successfully in field studies. The use of highly sensitive DNA barcoding techniques such as this hold great potential for improving previously challenging field assessments of species abundance.

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