An equation for fitting distance-based measurements with analyte concentrations: From discrete segments simulation to closed-form solution

IF 4.1 Q1 CHEMISTRY, ANALYTICAL Talanta Open Pub Date : 2024-02-07 DOI:10.1016/j.talo.2024.100296
Prapin Wilairat
{"title":"An equation for fitting distance-based measurements with analyte concentrations: From discrete segments simulation to closed-form solution","authors":"Prapin Wilairat","doi":"10.1016/j.talo.2024.100296","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, an equation for fitting the band lengths in µPADs to the concentrations/amount of analyte added to the µPAD sample area is derived. A simulation of the band formation is carried out using a discrete segment model. The detector channel is divided into equal segments with the same amount of reagent R in each segment. The sample moves into the channel in steps corresponding to segments of the same size as the detector segment. Each sample segment contains analyte A at C mole ratio to reagent R. Assuming a stoichiometric ratio of 1:1 for reaction between A and R, there will be formation of only one product band in each detector segment. By examining the number of bands (n) formed after N steps, a set of linear algebraic equations is derived to determine the number of bands (n) for any integer values of N and C. By extrapolating this result to real positive numbers, we obtain the equation <em>L</em>=<em>a</em>.C<sub>A</sub>/(<em>b</em> + C<sub>A</sub>), where L represents the band length, and C<sub>A</sub> represents the concentration/amount of analyte. The equation represents a rectangular hyperbola.</p></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666831924000109/pdfft?md5=00011778d290d62fe9d5fbb6a7dfe315&pid=1-s2.0-S2666831924000109-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666831924000109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, an equation for fitting the band lengths in µPADs to the concentrations/amount of analyte added to the µPAD sample area is derived. A simulation of the band formation is carried out using a discrete segment model. The detector channel is divided into equal segments with the same amount of reagent R in each segment. The sample moves into the channel in steps corresponding to segments of the same size as the detector segment. Each sample segment contains analyte A at C mole ratio to reagent R. Assuming a stoichiometric ratio of 1:1 for reaction between A and R, there will be formation of only one product band in each detector segment. By examining the number of bands (n) formed after N steps, a set of linear algebraic equations is derived to determine the number of bands (n) for any integer values of N and C. By extrapolating this result to real positive numbers, we obtain the equation L=a.CA/(b + CA), where L represents the band length, and CA represents the concentration/amount of analyte. The equation represents a rectangular hyperbola.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于距离的测量与分析物浓度的拟合方程:从离散片段模拟到闭式求解
在本研究中,得出了一个用于拟合 µPAD 中的带长与添加到 µPAD 样品区域的分析物浓度/数量的方程式。使用离散段模型对谱带的形成进行了模拟。检测器通道被分成相等的区段,每个区段中的试剂 R 量相同。样品以与检测器段相同大小的段为单位进入通道。假设 A 和 R 之间的反应化学计量比为 1:1,则在每个检测器段中只会形成一条产物带。通过检查 N 个步骤后形成的条带数量(n),可以得出一组线性代数方程,从而确定 N 和 C 的任意整数值下的条带数量(n)。将这一结果推断为实数正数,可以得出方程 L=a.CA/(b + CA),其中 L 代表条带长度,CA 代表分析物的浓度/数量。该方程表示一个矩形双曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Talanta Open
Talanta Open Chemistry-Analytical Chemistry
CiteScore
5.20
自引率
0.00%
发文量
86
审稿时长
49 days
期刊最新文献
Rapid classification of rice according to storage duration via near-infrared spectroscopy and machine learning Measurement uncertainty revealed: The impacts of Certified Reference Material (CRM) on cannabinoid concentrations in the cannabis testing industry Phage based biosensors: Enhancing early detection of emerging pathogens in diagnostics Comparison of Head Space Solid Phase Micro Extraction with Conventional and Comprehensive Gas Chromatography Mass Spectrometry for Volatile Profiling of Irish whiskey Emerging techniques for the trace elemental analysis of plants and food-based extracts: A comprehensive review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1