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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Sample Handling01:02

Sample Handling

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Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
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Sampling Theorem01:15

Sampling Theorem

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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Updated: Feb 11, 2026

Sampling and Identification of Microplastics in Groundwater
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Novel methodology to isolate microplastics from vegetal-rich samples.

Alicia Herrera1, Paloma Garrido-Amador1, Ico Martínez1

  • 1Marine Ecophysiology Group (EOMAR), Iu-ECOAQUA, Universidad de Las Palmas de Gran Canaria, 35017 Campus Universitario de Tafira, Canary Islands, Spain.

Marine Pollution Bulletin
|April 23, 2018
PubMed
Summary

A new method using 96% ethanol for density separation efficiently isolates microplastics from algae and plant samples. This simple, safe, and cost-effective technique is recommended for standardizing microplastic analysis in vegetal-rich environments.

Keywords:
BeachDensity separationMarine litterMicroplasticsOrganic materialPlastic extraction

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Marine Biology

Background:

  • Microplastics are pervasive pollutants in marine ecosystems.
  • Standardized methods are crucial for accurate microplastic quantification.
  • Existing extraction protocols are insufficient for vegetal-rich samples.

Purpose of the Study:

  • To develop and validate an efficient microplastic extraction protocol for samples rich in algae and plant material.
  • To compare the efficacy of a novel density separation method against established digestion techniques.

Main Methods:

  • Comparison of five established digestion methods (e.g., H2O2).
  • Evaluation of a novel density separation protocol using 96% ethanol.
  • Application to heterogeneous samples containing significant vegetal matter.

Main Results:

  • The 96% ethanol density separation method demonstrated superior efficiency compared to all tested digestion methods.
  • This protocol proved more effective than hydrogen peroxide (H2O2) digestion.
  • The ethanol method is simple, safe, and cost-effective for microplastic isolation.

Conclusions:

  • The 96% ethanol density separation protocol is highly recommended for standardizing microplastic extraction from vegetal-rich samples.
  • This method offers a reliable solution for analyzing microplastic contamination in complex marine matrices.
  • Standardization will improve the comparability and reliability of microplastic research.