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The dynamic recent development of technologies provides more and more new tools, thanks to which it is possible to quickly detect and identify the chemical composition of volatile organic compounds of fungal origin. An ‘electronic nose’ (e−nose) is one of such tools. The Forest Research Institute launched in the period of 2018−2020 the project entitled ‘Forecasting threats to forest ecosystems through the implementation of innovative electronic odor recognition system’. Its aim is to use an electronic nose to detect the odors of fungal pathogens that cause damping−off of seedlings belonging to Fusarium, Rhizoctonia, Cylindrocarpon, Phytophthora and Pythium genera as well as pine foils on an example of pine tree lappet caterpillars (Dendrolimus pini L.). In presented paper special attention was paid to the organic compounds of fungal origin. Many authors indicate that a large number of fungi secrete specific organic compounds that can be used to recognize them. The composition of these compounds may, however, differ depending on the conditions in which the organism develops or even on the virulence itself. Similar research made it possible to introduce an e−nose device for general use. They are used, inter alia, at airports to detect dangerous substances, to determine the quality of coffee, or to check food for its suitability for consumption. The aim of this work is to review the basic information on the volatile organic compounds released by fungi, their composition and the possibility of using an electronic nose for their early detection. Paper provides information on: methods used to identify volatile organic compounds, the basic differences between the discussed methods and information on the examples of the use of this technology in various industries, from the food industry, through medicine, to the army.
Pestiviruses cause serious diseases in domestic and wild ruminants and swine. The aim of the study was to apply Real Time PCR with SYBR Green I intercalating dye for detecting pestiviruses. The study was performed with RNA extracted from BVDV-1 cell culture and CSFV, DNA templates with known copy numbers synthesized from CSFV, BVDV-1 and BDV and on cDNA samples representing different pestivirus species and strains. Two PCR kits were used in the study: AmpliTaq Gold (Applied Biosystems) with added fluorescent dyes, and QuantiTect SYBR Green PCR kits (Qiagen). PCR primers were selected from 5UTR. All pestivirus species, or species-related samples were detected using the applied method and the results were observed as amplification curves. The specificity of amplification was confirmed by estimating the melting temperature of the PCR products. It was demonstrated that the melting temperature of amplicons obtained in reaction with QuantiTect kit was 86-87°C while those obtained with AmpliTaq Gold was 90-92°C. A higher assay sensitivity of 40 copies of CSFV, 400 copies of BVDV and 40 000 copies of BDV templates was obtained using the QuantiTect SYBR Green PCR kit. It should be stressed that the above method does not facilitate pestivirus species identification and may only be a preliminary method for detecting pestivirus infections in swine and must be supplemented with CSFV specific assay.
The aim of the study was to detect Mycobacterium paratuberculosis DNA in raw milk samples. DNA from 103 udder milk samples was isolated using the eQIAamp DNA Mini Kit (Qiagen). IS-900 - a part of genome characteristic for MAP - was detected in 21 samples.
Genetically modified crops are widely used to produce feed mixtures. European Community law requires products containing above 0.9% of GMO to be labeled. The purpose of the study was to detect, identify and quantify GMO by analyzing DNA. The qualitative methods used were based on PCR technique; however, quantitative GMO analysis based on Real Time PCR technique and Roche LightCycler 2.0 instruments was also applied. 59 of the 109 examined samples of feed contained GM crops. The presence of GMO was detected in 31 samples of soybeans and Soya meal, 4 samples of maize and 24 samples of feed mixtures. The most commonly used GMO in animal feed in Poland is Soya Roundup Ready, tolerant to Roundup herbicide, and it was present in 57 samples of feed. Genetically modified maize was present in only 2 of the 69 samples of maize corn and compound feeds. Additionally, 2 samples of maize were contaminated by Soya Roundup Ready.
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