Topic
Calibration curve
About: Calibration curve is a research topic. Over the lifetime, 6552 publications have been published within this topic receiving 95128 citations.
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TL;DR: In this paper, the authors evaluated a number of calibration functions, both empirical polynomial and theoretical mixing models, on the basis of laboratory measurements on undisturbed Sphagnum peat samples.
Abstract: Since peat soil differs from mineral soil in several respects, mineral-soil calibration functions for time domain reflectometry (TDR) are not necessarily applicable. This paper evaluates a number of calibration functions, both empirical polynomial and theoretical mixing models, on the basis of laboratory measurements on undisturbed Sphagnum peat samples. Deviations between different samples within this study indicate dissimilarities in dielectric properties between peats with different degrees of humification. Connections to physical properties such as amount of bound water and structural orientation are likely to exist. There is, however, a lack of methods to measure and quantify parameters expressing these properties. Therefore, until further studies on physical properties are accomplished, empirical or semi-empirical calibration curves are preferred. The best fit was obtained by an empirical, third order polynomial model. This model also gave a better fit than the mixing models when data were grouped into humification classes. However, all models reproduced pooled data with an r 2 better than 0.93.
72 citations
TL;DR: In this paper, an analysis of NBS SRM 1634A (Trace Elements in Residual Fuel Oil) with a four point calibration curve for each element had an average error of 18 % when compared to the certified values and agreed better at the low concentrations with the certified or information values than a similar analysis by ICP with optical detection.
72 citations
TL;DR: The on-line incorporation of cloud point extraction to flow injection analysis (FIA) is demonstrated for the first time and the figures of merit for the determination of coproporphyrin in pretreated urine samples were as follows.
Abstract: The on-line incorporation of cloud point extraction (CPE) to flow injection analysis (FIA) is demonstrated for the first time. The technical difficulties of inducing the cloud point phenomenon, separating the surfactant-rich phase from the aqueous phase, and detecting trace amounts of analyte(s) in the presence of the highly scattering surfactant medium in an on-line FIA system were resolved by the following: (1) mixing the sample solution containing the analyte(s) and CPE surfactant with an appropriate salting-out agent, (2) using a collection column to entrap the analyte-containing surfactant aggregates, and ( 3) employing the peroxyoxalate chemiluminescence reaction for the sensitive and selective determination of the analyte(s) in the presence of surfactant micelles. The figures of merit for the determination of coproporphyrin in pretreated urine samples were as follows: precision, 1.1−2.2% (RSD); limit of detection, 2.0 μg/L; and the calibration curve was linear from 46 to 2319 (μ/L (r = 0.9996).
72 citations
TL;DR: In this paper, a computer program is described to convert the input data from the automated chromatograph, elution volume, and recorder deflection are converted to unit sensitivity and base line corrections applied.
Abstract: Gel permeation chromatography produces a type of differential molecular weight distribution directly and rapidly. Conversion of these data to conventional molecular weight distributions and plots of distributions is time-consuming. A computer program is described to perform these operations readily. Input data from the automated chromatograph, elution volume, and recorder deflection are converted to unit sensitivity and base line corrections applied. The curve is then numerically integrated and a calibration curve used to convert elution volumes into molecular weights. Various calibration curves can readily be introduced into the program. The output, in addition to tabulation of cumulative and differential molecular weight distributions, contains values of Mn, Mv, Mw, Mz, and Mz+1. Importantly, a reduced absolute area, i. e., area computed for unit sensitivity on a unit concentration basis, is tabulated. An additional time-saving eature is the printing out of differential and cumulative molecular weight distribution curves and of a differential histogram.
72 citations
TL;DR: The Au@CQDs-based fluorescent method for visual and accurate detection of melamine in milk was presented and showed strong application potential.
71 citations