Green Synthesis of Mechanical Robust Superhydrophobic CNT@PU Coatings with High Flexibility for Extensive Applications

This paper proposes a standardized format for the preparation of process green synthesis reports that can be applied to chemical syntheses of active pharmaceutical ingredients (APIs) of importance to the pharmaceutical industry. Such a report is comprised of the following eight sections: a synthesis scheme, a synthesis tree, radial pentagons and step E-factor breakdowns for each reaction step, a tabular summary of key material efficiency step and overall metrics for a synthesis plan, a mass process block diagram, an energy consumption audit based on heating and cooling reaction and auxiliary solvents, a summary of environmental and safety-hazard impacts based on organic solvent consumption using the Rowan solvent greenness index, and a cycle time process schedule. Illustrative examples of process green synthesis reports are given for the following pharmaceuticals: 5-HT2B and 5-HT7 receptors antagonist (Astellas Pharma), brivanib (Bristol-Myers Squibb), and orexin receptor agonist (Merck). Methods of ranking synthesis plans to a common target product are also discussed using 6 industrial synthesis plans of apixaban (Bristol-Myers Squibb) as a working example. The Borda count method is suggested as a facile and reliable computational method for ranking multiple synthesis plans to a common target product using the following 4 attributes obtained from a process green synthesis report: process mass intensity, mass of sacrificial reagents used per kg of product, input enthalpic energy for solvents, and Rowan solvent greenness index for organic solvents.<br>

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A novel green synthesis of copper oxide nanoparticles using Henna powder extract

Журнал структурной химии ◽

10.26902/jsc20180730 ◽

2018 ◽

Vol 59 (7) ◽

Keyword(s):

Copper Oxide ◽

Green Synthesis ◽

Copper Oxide Nanoparticles ◽

Oxide Nanoparticles ◽

Powder Extract

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Application of Automated FIB for TEM Sample Preparation in Semiconductor Failure Analysis

ISTFA 2014: Conference Proceedings from the 40th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2014p0413 ◽

2014 ◽

Author(s):

Jie Zhu ◽

Soo Sien Seah ◽

Irene Tee ◽

Bing Hai Liu ◽

Eddie Er ◽

...

Keyword(s):

Sample Preparation ◽

Success Rate ◽

Protective Layer ◽

Factors Affecting ◽

Dual Beam ◽

Lamella Thickness ◽

Surface Patterns ◽

Working Parameters ◽

Practical Factors ◽

High Flexibility

Abstract In this paper, we describe automated FIB for TEM sample preparation using iFast software on a Helios 450HP dual-beam system. A robust iFast automation recipe needs to consider as many variables as possible in order to ensure consistent sample quality and high success rate. Variations mainly come from samples of different materials, structures, surface patterns, surface topography and surface charging. The recipe also needs to be user-friendly and provide high flexibility by allowing users to choose preferable working parameters for specific types of samples, such as: grounding, protective layer coating, milling steps, and final TEM lamella thickness/width. In addition to the iFast recipe, other practical factors affecting automation success rate are also discussed and highlighted.

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Green synthesis of nanomaterials for early lung cancer detection

Journal of Cancer Science and Therapeutics ◽

10.36879/jcst.18.000102 ◽

2018 ◽

pp. 1-1

Keyword(s):

Lung Cancer ◽

Green Synthesis ◽

Cancer Detection ◽

World Wide ◽

Early Stage ◽

Age Groups ◽

Early Lung Cancer ◽

Lung Cancer Detection ◽

Synthesis Of Nanomaterials

Lung cancer is the foremost cause of cancer-related deaths world-wide [1]. It affects 100,000 Americans of the smoking population every year of all age groups, particularly those above 50 years of the smoking population [2]. In India, 51,000 lung cancer deaths were reported in 2012, which include 41,000 men and 10,000 women [3]. It is the leading cause of cancer deaths in men; however, in women, it ranked ninth among all cancerous deaths [4]. It is possible to detect the lung cancer at a very early stage, providing a much higher chance of survival for the patients.

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