Results 101 to 110 of about 59,543 (276)

Study on Preparation of Calcium-Based Modified Coal Gangue and Its Adsorption Dye Characteristics

open access: yesMolecules
Efficient and thorough treatment of dye wastewater is essential to achieve ecological harmony. In this study, a new type of calcium-based modified coal gangue (Ca-CG) was prepared by using solid waste coal gangue as raw material and a CaCl2 modifier ...
Yihan Wang   +4 more
doaj   +1 more source

Experimental and computational chemistry studies on the removal of methylene blue and malachite green dyes from aqueous solution by neem (Azadirachta indica) leaves

open access: yesJournal of Taibah University for Science, 2018
Adsorption of methylene blue and malachite green dyes from aqueous solution by neem leaves was studied using experimental and computational chemistry approaches.
Stevens A. Odoemelam   +2 more
doaj   +1 more source

Polyvinyl Alcohol Assisted Iron–Zinc Nanocomposite for Enhanced Optimized Rapid Removal of Malachite Green Dye [PDF]

open access: gold, 2023
Muhammad Saad   +7 more
openalex   +1 more source

Copper mineral occurrences in the Wrangell Mountains-Prince William Sound area, Alaska [PDF]

open access: yes, 1971
On January 9, 1970, the U.S. Bureau of Mines entered into an agreement with the University of Alaska based upon a proposal submitted by the Mineral Industry Research Laboratory.
Grybeck, D.G., Heiner, L.E., Wolff, E.N.
core  

Practical Applications of Secondary/Extractive Electrospray Ionization (SESI): A Versatile Tool for Real‐Time Chemical Analysis

open access: yesMass Spectrometry Reviews, Volume 45, Issue 2, Page 392-428, March/April 2026.
ABSTRACT In the 1980s, researchers discovered the remarkable ability of electrospray plumes to effectively ionize gas‐phase molecules via secondary ionization. Around 20 years later—coinciding with the ambient mass spectrometry revolution—secondary electrospray ionization (SESI) and extractive electrospray ionization (EESI) coupled to mass spectrometry
Xin Luo   +5 more
wiley   +1 more source

Facile synthesis of novel nanocomposite composed of Co3O4, MgO, and Mg3B2O6 for malachite green dye decontamination from aqueous media

open access: yesScientific Reports
Malachite green is a hazardous chemical that poses serious threats to aquatic ecosystems due to its toxicity and persistence in the environment. Additionally, it is harmful to human health, recognized as a carcinogenic and mutagenic agent that can cause ...
Asma S. Al-Wasidi   +4 more
doaj   +1 more source

Diffusion of Malachite Green in Polyacrylonitrile

open access: yesThe Journal of the Society of Chemical Industry, Japan, 1968
ポリアクリロニトリル中へのマラカイトグリーンの拡散をフィルム巻層法によって無限染浴,pH4.2の条件で70,75,80,82.5,85,90,92.5,95,98℃の各温度で調べた。ポリアクリロニトリル中でのマラカイトグリーンの濃度分布は明らかに非Fick型を示し,拡散係数の濃度依存性がみられる。濃度分布曲線からMatanoの方法によって計算された拡散係数および表面濃度は温度上昇に伴って80℃付近から急に増大する。拡散係数の濃度依存性は,拡散のdrivingforceとして化学ポテンシャルを用いることによってよく説明される。この系のガラス転移点に対応する80℃以上の拡散係数はWLF式によって表わされることがわかった。
Talukder M. A. HOSSAIN   +3 more
openaire   +2 more sources

Degradation of Dyes by Fungi: A Bibliometric Study and Bibliographic Review

open access: yesEnvironmental Quality Management, Volume 35, Issue 3, Spring 2026.
ABSTRACT The degradation of dyes from textile effluents is considered a major challenge due to their high potential for environmental contamination and health risks due to their toxicity. In this sense, the use of fungi for the degradation of these compounds is reported in the literature as an ecological alternative with great potential.
Antonio Marcelo Magalhães Gomes   +4 more
wiley   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, Volume 36, Issue 11, 5 February 2026.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Home - About - Disclaimer - Privacy