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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups

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Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.
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Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

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Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
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Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques01:30

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques

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Airway management is essential in emergency and surgical medicine, ensuring ventilation and oxygenation in patients who cannot maintain their own airway. Clinicians use a range of techniques and devices to secure the airway, depending on the patient’s condition and the clinical context. Key methods include endotracheal intubation, rapid sequence intubation (RSI), supraglottic airway devices, and advanced visualization aids. In cases where these approaches fail, surgical airway...
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Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Detection of Black Holes01:10

Detection of Black Holes

2.5K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
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Video Experimental Relacionado

Updated: Jan 24, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation
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mirMachine: A One-Stop Shop for Plant miRNA Annotation

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Avances en la detección de ARNm

Mustapha Zendjabil1

  • 1Faculty of Medicine, University of Oran 1 Ahmed Ben Bella and Department of Biochemistry, Oran University Hospital, Oran, Algeria.

Advances in clinical chemistry
|January 22, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Esta revisión cubre los avances en la detección de microARNm (ARNm), destacando la necesidad de métodos estandarizados. Las nuevas técnicas y la inteligencia artificial prometen mejorar el descubrimiento de biomarcadores y la medicina personalizada.

Palabras clave:
BiomarcadoresBiopsia líquidaSecuenciación de miARNmMicroARNmRT-qPCR

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Área de la Ciencia:

  • Biología Molecular
  • Biotecnología
  • Bioinformática

Sus antecedentes:

  • Los microARNm (ARNm) muestran promesa como biomarcadores y dianas terapéuticas.
  • Los desafíos en la detección de ARNm incluyen el tamaño pequeño, la baja concentración y las formas de transporte complejas.

Objetivo del estudio:

  • Revisar los avances en la detección de ARNm, desde la recolección de muestras hasta la interpretación.
  • Enfatizar la necesidad de protocolos estandarizados para la reproducibilidad y comparabilidad.

Principales métodos:

  • Se discuten los métodos convencionales: RT-qPCR, PCR digital, microarrays y secuenciación.
  • Se detallan métodos novedosos como la amplificación isotérmica para mejorar la sensibilidad y especificidad.
  • Se explora el papel de la inteligencia artificial en el análisis de datos y el descubrimiento de biomarcadores.

Principales resultados:

  • Nuevos métodos permiten la cuantificación de ARNm en el punto de atención.
  • La inteligencia artificial facilita el análisis de big data para el descubrimiento de biomarcadores.
  • La integración de IA con datos ómicos y clínicos apoya la medicina personalizada.

Conclusiones:

  • Los protocolos estandarizados son cruciales para la detección confiable de ARNm y su aplicación.
  • Las tecnologías emergentes y la IA están transformando la investigación de ARNm y su utilidad clínica.
  • El análisis de ARNm integrado con otros tipos de datos avanzará el manejo del paciente.