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RUCHICA KUMAR NOVOCUS LEGAL LLP | Technology Mapping NANOBIOTECHNOLOGY TRENDS IN AGRICULTURE

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Page 1: Nanobiotechnology trends in agricluture   through patent glass

RUCHICA KUMAR NOVOCUS LEGAL LLP |

Technology Mapping NANOBIOTECHNOLOGY TRENDS IN AGRICULTURE

Page 2: Nanobiotechnology trends in agricluture   through patent glass

INTRODUCTION

Nanobiotechnology is an interdisciplinary mesh which involves several core scientific principles

and applications in major areas of science and technology and it is prophesied to have

tremendous potential to enhance the rapid developments in the biotechnological fields. Any

particular invention of nanotechnology can have applications in as varied and as diverse fields of

plasma physics and advanced medical surgery at the same time. The multifaceted nature of this

technology and applications is providing new challenges in technology transfer and

commercialization. In this paper, we attempt to understand this multifaceted approach of

nanotechnology in terms of technology as related to agriculture and analyze the overlaps in the

patented technologies. The study analyses the Nanobiotechnology based patents as indicators

of current trends in research and technology development. Finally, a cross impact analysis was

undertaken and a technology network established to study the interrelations of the technologies

and their applications. The study also focuses on multidisciplinary nature of Nanobiotechnology

and how the same may be used as a potent tool for patent commercialization in general and

agriculture in particular. This study is aimed at presenting what more can be done with an existing

or new patent portfolio using techno-legal patent data as indicators.

BACKGROUND

Nanobiotechnology center of Cornell University describes nanobiotechnology as “creating

nanofabricated materials, structure and devices to examine and engage with biological systems

on sub cellular and molecular levels”. The field of nanobiotechnology has not left any field

unexplored and its applications have been speculated in almost all technology fields. Agriculture

field is no exception to this and it is a strong belief that this sector will contribute significantly to

agri- food sector and there by enhance food security. (Kalpana et al, 2009).

When looked at from an Indian prospective it is being speculated that nanobiotechnology can

create same history as green revolution did back in 1960’s. Although this area is more of a science

and less of a technology as of now, but the use of modern intellectual property management

approaches like use of patents as trend indicators, technology mapping, technology trend

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extrapolation can go a long way in contributing to the growth of agriculture using

nanobiotechnology.

METHODOLOGY

The detailed process followed for the fulfillment of the objectives was divided into 5 main stages

which are explained as follows:

1. Patent Collection

2. Patent Parsing

3. Text Mining

4. Technology Analysis

5. Clustering

These are explained below

PATENT COLLECTION AND PATENT PARSING

The patents were searched in the areas of nanobiotechnology using a combination of

keywords and patent classifications.

o The patent classifications used for the purpose were USPC, ECLA, and IPC include

USPC 977, IPC AO1N, IPC C12N

o The key strings were based on 2 main concepts, they are:

Biotechnology

Nanotechnology

o The concept of agriculture was not used as the one of the objectives was to link

these core Nanobiotechnology patents with agriculture applications.

As an end result of the search a list of 470 patents were taken

These 470 patents were taken as a starting point for analysis for the next step.

The databases used for search are USPTO, EPO, Patent Lens, Delphion.

TEXT MINING

Page 4: Nanobiotechnology trends in agricluture   through patent glass

This refers to the model that was made before processing the patents obtained after the

search. This was needed to for drive the paper towards the fulfillment of objectives which

include studying current impact of nanotechnology and biotechnology in agriculture and

identification of niche areas.

In this case, various search fields were identified for formulation of database queries.

Individual patents were analyzed for Inventors, Dates and technology Indicators Chosen

for Assessment. These indicators are explained as follows:

1. Sector of agriculture supply chain affected

2. Agriculture thematic area

3. Nano-research area

4. Possible agriculture applications

5. Biotechnology core area

PRINCIPLE BEHIND THESE INDICATORS

The life cycle of new and emerging technologies like nanotechnology typically progresses

through identifiable patterns of scientific, technological and economic developments.

There is a time lag between the three different stages and usually, the scientific push will

precede the technology pull and market pull. Accordingly, the Research and Development

(R&D) outputs of nanobiotechnology can be assessed and quantified by publications (for

scientific performance), patents (for technological performance), and products in the

market (for commercial presence).

We only intend to focus on patents are indicators for technology assessment and driving

R&D activities in this study

MULTIDISCIPLINARY NATURE OF NANOTECHNOLOGY

To study the multidisciplinary nature of nanotechnology as regarding agriculture it is

important to understand the relationships among technologies. It is for this reason that

we need to construct a taxonomy which could present a generalized and process based

framework (Fig 1) to enable identification and characterization of the patents (which are

Page 5: Nanobiotechnology trends in agricluture   through patent glass

used as indicators), and map them to the different agricultural research theme areas

through the filter of links in the agri-value chain is proposed. The framework also

permits assessing the implications for technology transfer, and impacts on society and

environment. The framework comprises:

(i) Identification of relevant nano research, biotechnology and agri research

thematic areas (tables 2 -5),

(ii) Mapping the outputs of nano research areas to the agri-food research areas

using the different links in the agricultural value chain as guides using

database technologies.

Figure 1: The Model for mapping and mining patents

Nanoparticles

Quantum Dots

Carbon Nanotubes

Dendrimers

Fullerenes

Biosensors

Diagnostic Kits

MEMS

Biochips

Microfluidics

Smart Delivery Systems

Nanofilteration

Nanospheres

Nanofibres

Nanowires

Nanoscale science

Natural Resource

Management

Plant/animal Disease

Diagnosis

Delivery Mechanism in

plants

Delivery Mechanism in soil

systems

Delivery Mechanism in

Animal systems

Use of agricultural

waste/biomass

Tracking

Horticulture/food supply

chain

Food Processing

Food Packaging

Bio-industrial Process

These technology segments and sub-segments had been used to identify

cross-industry innovation potential, same industry research indicators,

and technology white spaces. The white spaces were analyzed by creating

a three dimensional array of technical parameters and converting the

same into a bubble chart. This is also illustrated in some charts below.

This unique approach of the Technology Evaluation Gauntlet enables

retrieval of strategically important information directly from technical

Environmental Biotechnology

Pharmaceutical Biotechnology

· Animal Cell culture · Genomics

Bioelectronics Biochemistry · Proteomics

Diagnostic Microbial

Transformation · Genetic Engineering-Plants

Food Biotechnology

Plant Cell culture · Genetic Engineering—Animals

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TECHNOLOGY ANALYSIS

Analysis was done based on text mining model and patents were classified based on IPC codes,

and claims section of specification. The indicators for assessment described above were used as

model to classify claimed applications and to understand the scope of the claims.

This technology Analysis also formed the basis for cluster development and trend analysis.

CLUSTERING

Technology Clusters were formed using key concepts across the 470 patents and 50 clusters were

formed. Each of these 50 clusters were analyzed further for IPC similarities, claim coverage. Every

technology cluster was subjected to detailed spider citation, and forward citation analysis for

studying technology diffusion trends and finding cross industry innovation and commercialization

aspects. For example, a technical cluster having 10 patents from different assignees but all center

around preparing nanoparticles for making transgenic plants. Then, it helps us in looking for any

technical spillovers, technology diffusions, patent licensing opportunities and the like. All

technical clusters will be mentioned in results section below.

RESULTS AND DISCUSSION

The results present a multidimensional analysis involving the search fields of IPC, claims and

Derwent manual codes, assignee and Publication dates. They also include the trends in

Nanobiotechnology as pertaining to agriculture. All these are explained in different subsections

as follows:

1. Trends in Nanobiotechnology R&D pertaining to agriculture based on patents as

indicators

2. IPC analysis

3. Technology Cluster Analysis

4. Technology Diffusion

They are explained as follows:

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TRENDS IN RESEARCH AN D DEVELOPMENT USING PATENTS AS INDICATORS

Patents are generally referred to as indicators of research and development and patenting trends

show the direction of research. Often for technologies it has been observed citation needed that

patents are found as groups concentrating on a particular sector of that technology. Higher the

number of patents in such a cluster higher will be the amount of research going on in that sector.

This approach was the underlying principle of the trend analysis.

For studying trends in nanobiotechnology applications as pertaining to agriculture value chain

can be studied easily by separately studying all indicators chosen for assessment. The trends

shown by indicators chosen for assessment are as follows:

TRENDS IN AGRICULTURE THEMATIC AREAS:

Figure 2: Trends observed in Agriculture Thematic Areas

0 100 200 300 400

Animal Delivery…

Plant Delivery…

Diasease Diagnosis…

Biosysnthesis

Plant Disease Diag

Biomolecule related

Rest

340

32

66

14

3

18

33

Number of patents

Number of patents

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TRENDS OBSERVED IN BIOTECHNOLOGY THEMATIC AREA

Figure 3: Trends observed in Biotechnology

NANOTECHNOLOGY TRENDS

Figure 4: Nanotechnology Trends

TRENDS OBSERVED IN APPLICATION(S) INVOLVED

0 50 100 150

Genomics

Genetic Engineering-…

Genetic Engineering- Plants

Proteomics

Animal cell/Tissue Culture

Pharmaceutical

Diagnostic

Others

135

9

9

55

15

24

26

21

Biotech Trends

Number of Patents

0 50 100 150 200

Nanoparticles

Nanotubes

Nano Sphere

NanoCapsule

Smart Delivery system

Others

184

8

43

82

44

61

Nanotechnology Trends

Number of patents

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Figure 5: Application Trends

IPC ANALYSIS

International Patent Classification (IPC) consists of 8 classes each representing a different facet

of technology. The classification of patent into a particular class depends on the type of

technology involved. This approach had been useful for technologies that are not multifaceted

like nanobiotechnology. An IPC analysis revealed that few patents pertaining to

nanobiotechnology in agriculture were also classified elsewhere apart from normal class (A01N

and C12N).

All patents that had been classified elsewhere (apart from normal class A01, were examined for

cross industry potential and their citation charts were studied to provide conclusive evidence of

cross industry commercialization potential) – THIS PART OF STUDY IS STILL UNDER

CONFIDENTIALTY AGREEMENT AS CONCLUSIONS DRAWN COULD STILL BE USED AS INDICATORS

FOR PATENT COMMERCIALIZATION BY A PERSON SKILLED IN ART

A representation of IPC analysis is shown as follows:

0 50 100 150 200

Gene delivery

Drug Delivery

Diagnosis

others

156

75

21

51

Applications

Number of Patents

Page 10: Nanobiotechnology trends in agricluture   through patent glass

Figure 6: IPC Analysis: Most of the work is going on in therapeutics for animals.

TECHNOLOGY CLUSTER

Table 1: Technology Clusters

17 clusters out of 50 total are being presented in this work sample.

Cluster No. Publications Concepts of the cluster

1 31 Vaccines related to Nucleic Acids

2 27 Associated with expression, targeting, encoding, or modulation using antisense compounds for disease treatment

3 22 Polymer preparation for drug delivery

4 21 Polynucleotides use for diagnosis and treatment

5 20 Delivery system composition

6 18 Genetic intervention to improve cell culture

7 18 Nucleic Acid composition administration for therapeutic purpose

8 18 Gene delivery for disease treatment

9 17 Neutralizing antibodies

10 17 Pharmaceutical compositions comprising double-stranded ribonucleic acid

11 16 Nanoparticles for providing protein based treatment in cardiac disorders

A01H, 14, 3%

A01K, 26, 6%

A01N, 25, 6%

A61B, 3, 1%

A61K, 202, 48%

C07H, 11, 3%

C07K, 16, 4%

C12N, 75, 18%

C12P, 5, 1%

C12Q, 11, 3%G01N, 14,

3%Others, 16, 4%

IPC ClassificationA01H A01K A01N A61B A61K C07H

C07K C12N C12P C12Q G01N Others

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12 13 Introducing transgenic organism with fatty acid, lipids.

13 13 Pre-trans-splicing molecule, trans-splicing, trans-splicing reaction for expression, mediation, invention, or vivo production of proteins

14 12 Polypeptides and polynucleotides for cancer treatment

15 12 Drug encapsulation using nanoparticles for cancer treatment

16 12 Adeno-associated vector composition for amelioration of symptoms, creation of transformed host cells

17 10 Preparing nanoparticles for making transgenic plants

Each of these clusters were further analyzed to provide technical spillover and patent license

opportunities. THE SAME CAN’T BE INCLUDED IN THIS DOCUMENT DUE TO CONFIDENTIALITY

AGREEMENT, AS THE INFORMATION HAS DIRECT COMMERCIAL POTENTIAL.

TECHNOLOGY DIFFUSION

As nanobiotechnology is a multifaceted field and so may not be very uncommon to find cross

industry technology overlaps. These technology diffusion trends were studied using IPC codes,

and patent citations in a 2 dimensional analysis. Patent citations are used as a source to trace the

trajectory patterns of a technology. They provide an insight as to how different technologies

evolve from established technologies and how all technologies are related to each other. Patent

citation analysis can also be used to calculate quantitative evolution of a technology as it can be

used to calculate the time lag between citations. Patent citations can also be a source for studying

cross disciplinary nature of inventions. Normally 2 types of citation analysis are undertaken for

studying patent citation patterns. They are:

1. Forward citation analysis

2. Spider search using lateral citations

Using both of these we were able to arrive at various conclusions that served dual purpose of

pointing out research indicators for future research and identifying licensing opportunities. They

cannot be presented here without breaking confidentiality agreement.

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NANOPARTICLES – WHITE SPACE ANALYSIS BASED ON ABOVE FRAMEWORK

A remarkable array of new technologies, biotechnology, information technology,

nanotechnology, etc, now exists that can be integrated into agricultural research and

development to impact agricultural productivity, food and nutritional security and economic

growth. Many of these emerging technologies are enabling technologies that can be extended

across the agricultural and biotechnical value chain (from farm to plate and vice versa). The focus

is on exploring the current technological innovations in nanotechnology, and understanding of

their possible role in enhancing technology development using biotechnology in agriculture

sector. The method is based on technology road mapping and database management concepts

where it introduces the basic concepts of nanoscience through query based framework to map

the potential of such technologies against the current gaps of knowledge in biotechnology and

agriculture sectors for enhancing portfolio value, technical development and licensing

opportunities. Using this framework, knowledge mapping of data from analysis of relevant set of

literature and patents was done for used of NANOPARTICLES with possible applications in

agriculture using biotechnology in this sector, either on stand-alone basis or in complementarily

with the existing technologies.

Page 13: Nanobiotechnology trends in agricluture   through patent glass

The above chart directly indicates white spaces and occupied spaces with reference to use of

nanoparticles along with various biotechnical processes in agriculture.

We have done similar analysis in the same project for following Nanotechnology research area.

NanoScale Phenomena and processes

Quantum Dots

Nanotubes/ Nanopipettes

Dendrimers

Fullerenes

Biosensors

Diagnostic Kits

MEMS/ Nanocantilevers

Biochips

Microfluidics

Smart delivery systems

Nanofilteration

Smart System integration

Environment, social, health, ethical implications

Education

Nanosphere

Nanofibres

Nanowires

Nanocapsules

Each of the above-mentioned nanotechnology theme area was mapped with aforementioned

agriculture theme areas, biotech theme areas and possible applications to give a holistic picture

of technology diffusion trends and has helped in identifying many technology spillover and

technology licensing opportunities.

ABOUT THE AUTHOR

Mrs. Ruchica Kumar - An Intellectual Property professional and a registered patent agent who

been working in the highly specialized and focused field of Patent Management. As a registered

patent agent she has drafted and prosecuted various patent applications. Her work is focused on

technical and strategic facets of patent management involving patent analytics, acquisition and

management. Her area of specialization is patinformatics wherein, she leverages technical

Page 14: Nanobiotechnology trends in agricluture   through patent glass

aspects of patent drafting, patent valuation and patent citations to generate comprehensive

patent intelligence data. Her sound technical skill set amalgamated with a strong patent

knowledge base provides her good understanding of dynamics of cross industry innovation.

Her competencies include:

Innovation Forecasting – Analyzing knowledge spill-overs and externalities for forecasting

new innovation areas for an organization using patents as indicators

Patent Drafting in fields of Medical surgical devices and implants, cardiac rhythm

management devices, urology, gynecology.

Patent Invalidation and Patentability assessment

Technology infusion and diffusion studies using patents as indicators

Licensing and Technology Transfer in fields of general engineering

Indian Patent filing and prosecution

Technology Mapping

Pre-litigation due diligence

DISCLAIMER

Entire contents ©2016 Novocus Legal LLP. All rights reserved. Reproduction of this publication in any form without

prior written permission is forbidden. The information contained herein has been obtained from data sources

believed to be reliable. Novocus Legal LLP disclaims all warranties as to the accuracy, completeness or adequacy of

such information. This report was not prepared as an account of work sponsored by any agency. Neither the author

nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors or their employees,

makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy,

completeness, or any third party's use or the results of such use of any information, apparatus, product, or process

disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific

commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily

constitute or imply its endorsement, recommendation, or favoring by the author or any agency thereof or its

contractors or subcontractors. The views and opinions of author expressed herein do not necessarily state or reflect

any factual or strategic inference. This report is for reference and illustration purpose only and should not be used

for commercial purposes.