کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8145566 | 1524094 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Reduction of flexible container induced error for the composition analysis of in-flexible-container liquid based on differential optical-path spectrum
ترجمه فارسی عنوان
کاهش خطای ناشی از انبساط انعطاف پذیر برای تجزیه ترکیب مایع ظرف انعطاف پذیر بر اساس طیف دیفرانسیلی نوری
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کلمات کلیدی
ظرف انعطاف پذیر، طیف دیفرانسیلی نوری، راه حل جامع، رگرسیون حداقل مربعات جزئی،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی
The influence of flexible container on the spectral analysis of in-flexible-container liquid was investigated in this study. A method was proposed to formulate a model to inhibit the influence due to the difference of the flexible container. Based on the modified Longbow Bill's Law (Beer-Lambert law), a model insensitive to the difference of the flexible container was constructed. This method involves the use of differential optical-path spectrum for studying the model of in-flexible-container liquid. The obtained model was found to satisfactorily inhibit the influence caused by the variation of the flexible container. An experiment was designed using a mixed solution of Intra-lipid suspension and India ink as the analytical sample, and a polyvinyl chloride sample tube was used to simulate the flexible container of the analytical sample. Analysis of the experimental data shows that the model established via the differential optical-path spectrum modeling strategy could well inhibit the error caused by variation of the flexible container. Therefore, this study provides a basis for the quantitative analysis of blood or other liquids in flexible containers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 92, August 2018, Pages 60-67
Journal: Infrared Physics & Technology - Volume 92, August 2018, Pages 60-67
نویسندگان
Xingwei Hou, Gang Li, Shengzhao Zhang, Shaoxiu Song, Han Tian, Ling Lin,