A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis

Laser-diffraction analysis has been established as one of the standard methods for particle-size distribution (PSD) measurement. However, the uncertainty when analyzing naturally heterogeneous sediment is poorly constrained for the lack of control on one of its largest error sources simply originati...

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Main Authors: Zhixiong Shen, Nicholas Conway, Till J.J. Hanebuth
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:MethodsX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016121002867
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spelling doaj-5538564577304c9fab1c76dcd6b8cefe2021-08-26T04:34:18ZengElsevierMethodsX2215-01612021-01-018101493A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysisZhixiong Shen0Nicholas Conway1Till J.J. Hanebuth2Corresponding author.; Department of Marine Science, Coastal Carolina University, Conway, SC 29526, United StatesDepartment of Marine Science, Coastal Carolina University, Conway, SC 29526, United StatesDepartment of Marine Science, Coastal Carolina University, Conway, SC 29526, United StatesLaser-diffraction analysis has been established as one of the standard methods for particle-size distribution (PSD) measurement. However, the uncertainty when analyzing naturally heterogeneous sediment is poorly constrained for the lack of control on one of its largest error sources simply originating from subsampling. Here, we introduce a novel subsampling method, binary pipette splitting (BPS), and verify its precision by using sediment samples from ten flood-layer deposits that have formed in the wake of Hurricane Florence (2018). The BPS approach avoids extracting from only a fixed part of the suspended fluid but considers all the suspended sediment, resulting in the generation of twin subsamples. The median coefficient of variation (COV) for D10, D50, and D90 of subsamples obtained using BPS is 4%, 3%, and 2%, respectively. These values are significantly smaller than the corresponding values of 18%, 15%, and 13% obtained using the conventional pipette subsampling method. Therefore, the new BPS method represents a significant improvement in producing statistically identical subsamples for laser-diffraction particle-size analysis. • The binary pipette splitting (BPS) subsampling method dramatically improves the reproducibility of subsampling wet sediment.http://www.sciencedirect.com/science/article/pii/S2215016121002867Binary pipette splitting
collection DOAJ
language English
format Article
sources DOAJ
author Zhixiong Shen
Nicholas Conway
Till J.J. Hanebuth
spellingShingle Zhixiong Shen
Nicholas Conway
Till J.J. Hanebuth
A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
MethodsX
Binary pipette splitting
author_facet Zhixiong Shen
Nicholas Conway
Till J.J. Hanebuth
author_sort Zhixiong Shen
title A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
title_short A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
title_full A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
title_fullStr A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
title_full_unstemmed A novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
title_sort novel binary pipette splitting sediment subsampling method for improving reproducibility in laser-diffraction particle-size analysis
publisher Elsevier
series MethodsX
issn 2215-0161
publishDate 2021-01-01
description Laser-diffraction analysis has been established as one of the standard methods for particle-size distribution (PSD) measurement. However, the uncertainty when analyzing naturally heterogeneous sediment is poorly constrained for the lack of control on one of its largest error sources simply originating from subsampling. Here, we introduce a novel subsampling method, binary pipette splitting (BPS), and verify its precision by using sediment samples from ten flood-layer deposits that have formed in the wake of Hurricane Florence (2018). The BPS approach avoids extracting from only a fixed part of the suspended fluid but considers all the suspended sediment, resulting in the generation of twin subsamples. The median coefficient of variation (COV) for D10, D50, and D90 of subsamples obtained using BPS is 4%, 3%, and 2%, respectively. These values are significantly smaller than the corresponding values of 18%, 15%, and 13% obtained using the conventional pipette subsampling method. Therefore, the new BPS method represents a significant improvement in producing statistically identical subsamples for laser-diffraction particle-size analysis. • The binary pipette splitting (BPS) subsampling method dramatically improves the reproducibility of subsampling wet sediment.
topic Binary pipette splitting
url http://www.sciencedirect.com/science/article/pii/S2215016121002867
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