Scope:

The straitened availability of non-renewable energy sources and the increasing demand for environmentally conscious life makes a great future for bio based economy due to utilising biomass for feed, fuel/energy, fibre, fertilize or bio-refinery, however the fundamentals of this new profession are not yet synoptical.

Organic matter is available all over the Earth, but the optimization of these products delivering crucial challenges. What are the qualitative and quantitative features of these biomasses for feeding animals, plants, energy-installations or bio-refinery processes? In spite of the fact that these data are essential for the determination of the potential utilisation of biomass, these characteristics are not yet clear.

In the last decades the rapidly broaden availability of high-tech laboratory methods have resulted quick cheap and accurate analyses, which led to an enormous amount of knowledge about the organic biomass compositions as well. Different database sources are already available by agricultural organizations, commercial companies, universities, feed institutes and statistics offices.

These data will have a huge value for future biomass valorisation, but due to the reason that these data are earned in different countries in differed industries and different disciplines of science, they are not connected with each other. Every model has an own jargon which is not reviewable internationally and especially interdisciplinary.

Among the existing databases, as a finger print of organic matter in the Earth, every data about identical substrates are linked to each other by interdependences of the Law of Nature. Since Einstein, we know that “matter and energy are really different forms of the same thing. Matter can be turned into energy, and energy into matter”. The scientific disciplines are developing perfect models for describing these phenomenon and the connection between them, but these models are used mostly individually by a certain profession. There is no comprehensive presentation of the sum of the available data despite the renewable energy and the bio-refinery industries have an increasing demand for an evident demonstration of these fundamental Biomass features.


Living and non-living organic matter can be labelled in two manners:

1, Mass of energy of a certain amount described as energy density

2, organic MASS composition (Crude Protein, Crude Fat, Carbohydrates etc.) or the Macro and Micro elementary composition (C,H,N,O etc.)


The Equation between Mass and Energy provides the possibility to calculate back and forward with the help of stoichiometric equations:

This simple equivalent between MATTER and ENERGY is picturing the Architecture of Biomass and providing the opportunity to collect the features as a “biomass periodic system” or we like to call it Biomass Data Cube, where the composition of living and non-living organic matter could be described in an evident way. Johannes Kepler said: "Geometry is unique and eternal, a reflection from the mind of God. We believe it is exactly true for the complexity of biomass democracy in the Earth as well.


Our scope about a possible quantitative dimensioning of biomass composition:


 

 (all groups can be defined by the sub groups)


In the last years we have been busy to build a continuously broaden comprehensive multidisciplinary Biomass Database with more than 5.000 records concerning Elements, Organic Monomers & Polymers, Plants, Animals, Animal nutrition, Agricultural  & Industrial by products, Human nutrition, Waste water treatment data regarding micro and macro elements content chemical composition and Energy potential.

As a credo of the described database segregated natural science disciplines could be collected combined and published by creating a sort of continuation of the periodic table from the building blocks of organic and inorganic matter in the Earth in the framework of the SI System (Système International d'Unités).

A scenario for the possible data sources to collect, record and connect as a qualitative biomass spectrum: