Articles with "analytical techniques" as a keyword



Assessment of Optimal Analytical Techniques and Computational Approaches for Investigating Toxic Elements and Compounds in Pyrotechnic Materials (Green Crackers)

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Published in 2025 at "Applied Organometallic Chemistry"

DOI: 10.1002/aoc.70361

Abstract: This study presents a comprehensive analysis of green crackers using laser‐induced breakdown spectroscopy (LIBS), photoacoustic spectroscopy (PAS), and UV–visible (UV–Vis) techniques to evaluate their elemental composition and environmental impact. The LIBS spectra identified elemental signatures… read more here.

Keywords: spectroscopy; green crackers; computational approaches; optimal analytical ... See more keywords

Plastics Recycling: A Comparative Study of Different Analytical Techniques

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Published in 2025 at "Macromolecular Materials and Engineering"

DOI: 10.1002/mame.202500195

Abstract: Plastic waste has become a critical challenge threatening our environment and survival. There has been a growing demand for recycling methods to process waste into clean virgin‐like material. However, one of the key challenges limiting… read more here.

Keywords: plastics recycling; state nmr; waste; 13c solid ... See more keywords
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Gold Nanoclusters, Gold Nanoparticles, and Analytical Techniques for Their Characterization.

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Published in 2020 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-0319-2_26

Abstract: Many reliable and reproducible methods exist for manufacturing gold nanoparticles with the desired and specific compositions, structures, arrangements, and physicochemical properties. In this report, we review the key principles guiding the formation and growth of… read more here.

Keywords: gold nanoparticles; gold nanoclusters; gold; analytical techniques ... See more keywords

Botanical ingredient identification and quality assessment: strengths and limitations of analytical techniques

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Published in 2019 at "Phytochemistry Reviews"

DOI: 10.1007/s11101-019-09625-z

Abstract: Interest in botanical medicines is increasing worldwide with current global market values estimated to be greater than US $72 billion. To ensure ingredients used in botanical preparations are appropriately identified and will deliver the intended… read more here.

Keywords: identification quality; quality assessment; analytical techniques; strengths limitations ... See more keywords
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Analytical techniques in pharmaceutical analysis: A review

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Published in 2017 at "Arabian Journal of Chemistry"

DOI: 10.1016/j.arabjc.2013.04.016

Abstract: Abstract The development of the pharmaceuticals brought a revolution in human health. These pharmaceuticals would serve their intent only if they are free from impurities and are administered in an appropriate amount. To make drugs… read more here.

Keywords: analysis review; pharmaceutical analysis; review; techniques pharmaceutical ... See more keywords

Exploration of the potential of different analytical techniques to authenticate organic vs. conventional olives and olive oils from two varieties using untargeted fingerprinting approaches

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Published in 2021 at "Food Control"

DOI: 10.1016/j.foodcont.2020.107828

Abstract: Abstract Authentication of organic olives and olive oils is of growing interest due to the marked development of organic olive agriculture worldwide. In this study, the potential of using the untargeted volatile fingerprinting of organic… read more here.

Keywords: conventional olives; using untargeted; organic conventional; olives olive ... See more keywords
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The employment of analytical techniques and chemometrics for authentication of fish oils: A review

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Published in 2021 at "Food Control"

DOI: 10.1016/j.foodcont.2021.107864

Abstract: Abstract Background Fish oils are good sources of omega-3 and omega-6 polyunsaturated fatty acids (ω-3 and ω-6 PUFA) having beneficial effects to human health; therefore, fish oils could be considered as functional oils, to be… read more here.

Keywords: employment analytical; spectroscopy; authentication fish; fish oils ... See more keywords
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Purine molecules in Parkinson's disease: Analytical techniques and clinical implications

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Published in 2020 at "Neurochemistry International"

DOI: 10.1016/j.neuint.2020.104793

Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects patients over the age of 65. PD is characterized by loss of neurons in the substantia nigra and dopamine deficiency in the striatum. Once PD… read more here.

Keywords: techniques clinical; purine molecules; disease analytical; molecules parkinson ... See more keywords

Synchrotron X-ray Analytical Techniques for Studying Materials Electrochemistry in Rechargeable Batteries.

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Published in 2017 at "Chemical reviews"

DOI: 10.1021/acs.chemrev.7b00007

Abstract: Rechargeable battery technologies have ignited major breakthroughs in contemporary society, including but not limited to revolutions in transportation, electronics, and grid energy storage. The remarkable development of rechargeable batteries is largely attributed to in-depth efforts… read more here.

Keywords: rechargeable batteries; synchrotron ray; battery; spectroscopy ... See more keywords

Using Thermal Analytical Techniques To Study Rejuvenators and Rejuvenated Reclaimed Asphalt Pavement Binders

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Published in 2019 at "Energy & Fuels"

DOI: 10.1021/acs.energyfuels.8b03427

Abstract: Rejuvenators are added to reclaimed asphalt pavement (RAP) binders to enhance their low-temperature and fatigue performance. The effectiveness of a rejuvenator depends upon many factors, including the properties of the rejuvenator as well as the… read more here.

Keywords: using thermal; reclaimed asphalt; asphalt pavement; thermal analytical ... See more keywords

Evaluation of missing data analytical techniques in longitudinal research: Traditional and machine learning approaches.

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Published in 2024 at "Psychological methods"

DOI: 10.1037/met0000765

Abstract: Missing not at random (MNAR) and nonnormal data are challenging to handle. Traditional missing data analytical techniques such as full information maximum likelihood (FIML) estimation may fail with nonnormal data as they are built on… read more here.

Keywords: machine learning; learning approaches; missing data; analytical techniques ... See more keywords