返回
Programmable flow rate scanner for evaluating detector sensitivity regime
DOI:10.1016/j.snb.2018.11.033.png)
摘要
En 中文
In order to expedite characterization of on-line detection systems, we have developed a flow rate scanner comprising a pump, an inexpensive single-board computer, and an associated Python program. The program controls the pump, triggers the detector, acquires raw data, filters/smooths the data, calculates the first derivative of the temporal signal trend, and determines the sensitivity regime threshold in real time. The slope of the curve relating the detector response with the sample flow rate is used to determine the sensitivity regime for a given analyte and a given detector. The key part of the data analysis is on-the-fly calculation of the first derivatives using a fourth-order polynomial fit to the raw data by the Savitzky-Golay algorithm. The device has been tested by determining the flow rate profiles for an ultraviolet absorption detector and a mass spectrometer operated with electrospray ionization, atmospheric pressure chemical ionization, and a dual ion source. The sensitivity regime thresholds for various test analytes have been determined automatically and robustly in time as short as a few minutes.
Keyword:
Automation
Flow rate
Mass spectrometry
Optimization
Prototype
Sensitivity
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.7
论文数:
3.4W
被引数:
12.6W
机构
引用论文
Function of identified interneurons in the leech elucidated using neural networks trained by back-propagation
Nature
IF0
Combined electrospray ionization-atmospheric pressure chemical ionization source for use in high-throughput LC-MS applications
ANALYTICAL CHEMISTRY
IF6.7
A multichannel dampened flow system for studies on shear stress-mediated mechanotransduction
LAB ON A CHIP
IF5.4
Min-max vs. max-min flow control algorithms for optimal computer network capacity assignment优化计算机网络容量分配的最小-最大vs.最大-最小流量控制算法

