Pulp and Paper Technology Books
Materials for
Better Productivity in Pulp and Paper Mills: Metals and Polymers
(Author: Dr. Mahendra
Patel; 616 pages; 36 chapters; Publ 2015; ISBN No.978-81-923542-5-5)
Price- US $230+
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Ceramics in Paper Manufacturing
including Advanced and Nano Materials
(Author: Dr.
Mahendra Patel, 420 pages; 32 chapters, Publ 2014; ISBN No: 978-81-923542-4-8.)
Price: $ (USA) 220 + delivery charge
Operations and Recycling in Paper
Mills with Micro and Nano Concepts
Author-
Dr. Mahendra Patel; (22 chapters- 500
pages) Publ. 2012; ISBN No.978-81-923542-3-1)
Price: $ (USA) 150 + delivery charge
Minerals in Paper
Manufacturing
(Author- Dr. Mahendra Patel, 32 chapters, 350 pages ;
ISBN No. 978-81-923542-1-7).
Price: $ (USA) 65 + delivery charge
Micro and Nanotechnology in Paper Manufacturing
Author- Dr. Mahendra Patel, (530 pages ); ISBN No. 978-81-923542-2-4);
Price: $ (USA) 120 + delivery charge
Contact: industrypaper@yahoo.co.uk
patel@nanoindustry.in
:Tel:91(0)9871787870
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Nanotechnology Update
Pulp, Paper and Packaging industries
02/08/2010
Use of Protein from Poplar trees in Computer Memory
Scientists from the Hebrew University of Jerusalem have produced genetically engineered poplar-derived protein complexes in the laboratory. They have succeeded in showing possibility of expanding the memory capacity of future computers through the use of memory units based on silica nanoparticles combined with protein molecules obtained from the poplar tree. It is an alternative avenue to miniaturize memory elements while increasing the number and capacity of memory and functional logic elements in computers. This approach, could replace standard fabrication techniques in use until now for increasing computer memory capacity, a process which involves ever-increasing manufacturing costs.
The project involves the genetic engineering of poplar protein to enable its hybridization with a silicon nanoparticle. In this process, the nanoparticles are attached to the inner pore of a stable, ring-like protein (the poplar derivative), and these hybrids are arranged in a large network, or array, of very close, molecular memory elements. It has been demonstrated successfully how stable computing activity in a tiny memory element can be carried out in this way. The practical result is a cost-effective system that greatly increases existing memory capacity while significantly reducing the space required to carry out this volume of activity.
