کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8417006 | 1545658 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Sample processing approach for detection of ricin in surface samples
ترجمه فارسی عنوان
روش پردازش نمونه برای تشخیص ریسین در نمونه های سطح
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کلمات کلیدی
آلودگی ریسین، پردازش نمونه، فوق العاده تصفیه تمرکز، ضدعفونی کننده سفید کننده، ایمونوفیز فلورسانس زمان حل شده،
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوتکنولوژی یا زیستفناوری
چکیده انگلیسی
With several ricin contamination incidents reported over the past decade, rapid and accurate methods are needed for environmental sample analysis, especially after decontamination. A sample processing method was developed for common surface sampling devices to improve the limit of detection and avoid false negative/positive results for ricin analysis. Potential assay interferents from the sample matrix (bleach residue, sample material, wetting buffer), including reference dust, were tested using a Time-Resolved Fluorescence (TRF) immunoassay. Test results suggested that the sample matrix did not cause the elevated background fluorescence sometimes observed when analyzing post-bleach decontamination samples from ricin incidents. Furthermore, sample particulates (80Â mg/mL Arizona Test Dust) did not enhance background fluorescence or interfere with ricin detection by TRF. These results suggested that high background fluorescence in this immunoassay could be due to labeled antibody quality and/or quantity issues. Centrifugal ultrafiltration devices were evaluated for ricin concentration as a part of sample processing. Up to 30-fold concentration of ricin was observed by the devices, which serve to remove soluble interferents and could function as the front-end sample processing step to other ricin analytical methods. The procedure has the potential to be used with a broader range of environmental sample types and with other potential interferences and to be followed by other ricin analytical methods, although additional verification studies would be required.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Immunological Methods - Volume 451, December 2017, Pages 54-60
Journal: Journal of Immunological Methods - Volume 451, December 2017, Pages 54-60
نویسندگان
Staci Kane, Sanjiv Shah, Anne Marie Erler, Teneile Alfaro,