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Research on batch multielement rapid quantitative analysis based on the standard curve-assisted calibration-free laserinduced breakdown spectroscopy method

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Plasma Science and Technology 2024年第9期26卷 156-164页

作者： Weiwei HAN Duixiong SUN Guoding ZHANG Honglin WANG Kai GUO Yuzhuo ZHANG Haoliang WANG Denghong ZHANG Chenzhong DONG Maogen SU Key Laboratory of Atomic and Molecular Physics&Functional Material of Gansu Province College of Physics and Electronic EngineeringNorthwest Normal UniversityLanzhou 730070People’s Republic of China Gansu Digital Herb Testing Center Dingxi 743000People’s Republic of China Gansu International Scientific and Technological Cooperation Base of Laser Plasma Spectroscopy Lanzhou 730070People’s Republic of China

This study proposes a batch rapid quantitative analysis method for multiple elements by combining the advantages of standard curve(SC)and calibration-free laser-induced breakdown spectroscopy(CF-LIBS)technology to achieve synchronous,rapid,and accurate measurement of elements in a large number of samples,namely,SC-assisted *** alloy standard samples,divided into calibration and test samples,were applied to validate the proposed *** was built based on the characteristic line of Pb and Cr in the calibration sample,and the contents of Pb and Cr in the test sample were calculated with relative errors of 6%and 4%,*** built using Cr with multiple characteristic lines yielded better calculation *** relative contents of ten elements in the test sample were calculated using ***,the SC-assisted CF-LIBS was executed,with the majority of the calculation relative errors falling within the range of 2%-5%.Finally,the Al and Na contents of the Al alloy were *** results demonstrate that it effectively enables the rapid and accurate quantitative analysis of multiple elements after a single-element SC analysis of the tested ***,this quantitative analysis method was successfully applied to soil and Astragalus samples,realizing an accurate calculation of the contents of multiple ***,it is important to advance the LIBS quantitative analysis and its related applications.

关键词： laser-induced breakdown spectroscopy standard curve quantitative analysis multielement

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Abductive statistical methods improve the results of calibration curve bioassays:An example of determining zinc bioavailability in broiler chickens

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Animal Nutrition 2022年第3期10卷 294-304页

作者： Gene M.Pesti Lynne Billard Shu-Biao Wu Robert A.Swick Thi Thanh Hoai Nguyen Natalie Morgan The University of New England ArmidaleNSW2351Australia The University of Georgia AthensGA30602USA

In this paper,we discuss the theory behind calibration curve experiments and their application to a zinc(Zn)bioavailability study with broiler *** replicates of 16 male commercial broiler chicks were fed starter diets for 14 *** diets had different levels of a potential Zn source and one was a positive control with standard industry levels of Zn for *** commonly used methods of calculating bioavailability means and confidence intervals(CI)from a calibration curve(standard curve)experiment to estimate the bioavailability of a new zinc source in broiler chickens were *** methods compared were the following:1)the Counter-Intuitive Method uses a multiple-range test to compare unknown test and standard samples;2)the Intuitive Method uses standard linear regression and inverts the equation to predict Zn bioavailability for each replicate of test samples;3)the Abductive Method uses Graybill's Equation,based on theory and observation,to estimate CI's;and 4)the Sophistic Method uses reverse regression,and calculates Zn bioavailability values directly from the *** Counter-Intuitive Method only gives information about which standards the test samples are,or are not,significantly different from respectively(average available Zn not predicted).The Intuitive Method ignores error about the standard curve and theoretically cannot estimate the CI directly(X±SEM=107.5±15.8 mg Zn/kg).The Sophistic Method underestimates and overestimates the test sample mean values above and below the mean of the standards,respectively(X=96.6 mg Zn/kg).The Abductive Method has an advantage over the other methods:The mean prediction estimation is consistent with theory(107.5±6.1 mg Zn/kg;X±SEM).When test or“unknown”samples are near the mean of the standard samples,the CI is smaller than when near the extremes of the calibration *** calibration curve error is small(R^(2)>approximately 0.95),there is little advantage to using the Abductive Method,but wh

关键词： Calibration curve standard curve Confidence interval Bioavailability

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Relationship between sampling intensity and precision for estimating damage to maize caused by rodents

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Integrative Zoology 2007年第3期2卷 131-135页

作者： Loth S.MULUNGU Rhodes H.MAKUNDI Apia W.MASSAWE Herwig LEIRS Pest Management Centre Sokoine University of AgricultureMorogoroTanzania University of Antwerp Evolutionary Biology GroupAntwerpenBelgium Danish Pest Infestation Laboratory University of AarhusDepartment of Integrated Pest ManagementKongens LyngbyDenmark

In this study we aimed to determine the relationship between sampling intensity and precision for estimating rodentdamage. We used the systematic row sampling technique to provide data to achieve precision and accuracy inestimations of rodent damage in maize fields at the planting and seedling stages. The actual rodent damage to maizein 15 fields, each 0.5 ha in size, in Morogoro, Tanzania, was established at the seedling stage. These data were usedto simulate the sampling intensities that would provide precision and accuracy. The variations between estimateswere plotted against the sampling intervals. The results of this study show that the relationship between averagestandardized variances and sampling intervals is linear. The heterogeneous distribution of damage in some plotscaused variations in the accuracy of the estimates between plots, but a sampling interval of five rows consistentlyproduced estimates with a variance of less than 10%. We provide a standard curve that will allow a decision to bemade on the sampling intensity as a function of required precision using the systematic row sampling technique inmaize fields.

关键词： rodents sampling interval simulation standard curve systematic row sampling

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