کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7138635 | 1462014 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An ultra low-cost smartphone device for in-situ monitoring of acute organophosphorus poisoning for agricultural workers
ترجمه فارسی عنوان
یک دستگاه تلفن هوشمند فوق العاده ارزان قیمت برای نظارت موضعی مسمومیت ارگ فسفر حاد برای کارگران کشاورزی
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کلمات کلیدی
مسمومیت با اتوزوفسرف، تشخیص نقطه ای، دستگاه موبایل،
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
In this work, we present an ultra-low-cost smartphone device for in situ quantification of OP poisoning severity. The performance of the lens-less smartphone spectrum apparatus (LeSSA) is evaluated using standard human Interleukin-6 (IL-6) immunoassay kits. Upon dose-response curve fitting, LeSSA demonstrates an accuracy of 99.5%. The limit of detection (LOD) of LeSSA was evaluated through comparison of 6.4âpg/ml with standard laboratory grade UV-vis spectrophotometer at 5.5âpg/ml. Evaluating the capacity of LeSSA in spike solution by combining plasma cholinesterase (PChE) and human plasma shows consistency at agreement of 97.6% between LeSSA and the laboratory instrument. For application demonstration, the activity of PChE for 24 agricultural workers' plasma samples was measured with LeSSA, showing exceptional agreement (r2â=â0.92) with the laboratory instrument reference. In addition to near laboratory grade accuracy, the total manufacturing cost of LeSSA is only $20 USD highlighting it's affordability. With LeSSA, clinicians can evaluate OP poisoning severity without the need to transport patient samples to facilities at far distances. Utilizing LeSSA, immediate results can be used for administration of appropriate treatment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 275, 1 December 2018, Pages 300-305
Journal: Sensors and Actuators B: Chemical - Volume 275, 1 December 2018, Pages 300-305
نویسندگان
Yu-Chung Chang, Xiaoxiao Ge, Li-Ju Wang, Stephen Sauchi Lee, Michael H. Paulsen, Qaiser M. Khan, Zafar M. Khalid, Javed A. Bhalli, Usman Waheed, Christopher D. Simpson, Dan Du, Lei Li, Yuehe Lin,