DNA barcoding for wood identification: global review of the last decade and future perspective

Jiao, Lichao; Lu, Yang; He, Tuo; Guo, Juan; Yin, Yafang

doi:10.1163/22941932-bja10041

Cited by 28 publications

(25 citation statements)

References 43 publications

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“…For the reliable identification of select species, visual learning, chemical analysis, and genetics have been employed 8 . Examples include machine vision 15 , near infrared spectroscopy (NIRS) 12 , direct analysis in real time time-of-flight mass spectrometry (DART TOFMS) 3 , and DNA barcoding 16 . Most of these techniques are in their early stages of development with limited application, but with recognized potential to develop 1 .…”

Section: Introductionmentioning

confidence: 99%

Rapid identification of wood species using XRF and neural network machine learning

Shugar

Drake

Kelley

2021

Sci Rep

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An innovative approach for the rapid identification of wood species is presented. By combining X-ray fluorescence spectrometry with convolutional neural network machine learning, 48 different wood specimens were clearly differentiated and identified with a 99% accuracy. Wood species identification is imperative to assess illegally logged and transported lumber. Alternative options for identification can be time consuming and require some level of sampling. This non-invasive technique offers a viable, cost-effective alternative to rapidly and accurately identify timber in efforts to support environmental protection laws and regulations.

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Section: Introductionmentioning

confidence: 99%

Rapid identification of wood species using XRF and neural network machine learning

Shugar

Drake

Kelley

2021

Sci Rep

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“…are some of the microscopic features that form a framework in timber identification (W heeler and Baas, 1998). As mentioned by Jiao (2020), DNA-based identification of timber is an emerging tool in species identification, but one drawback is that very inconsequential amount of timber tissue contains DNA.…”

Section: Differences Between Different Varieties Of Timbermentioning

confidence: 99%

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Oommen¹,

Philip²

2022

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Timber is a commonly used building material which is porous in nature, continuously maintaining equality with relative humidity (RH) and temperature of the atmosphere in the immediate vicinity. Moisture content influences several performance parameters like timber durability, immunity to deterioration etc. Several procedures have been attempted which enables to measure the moisture contents in timber consistently and rather accurately. This review provides the technical details of the methodologies attempted so far to estimate moisture contents in timber specimens. The proposed inter-digital sensing was carried out at Department of Instrumentation, CUSAT during 2019-2020. Implementation of a method employing a spiral inter-digital capacitive sensor, which is low in cost and non-invasive in nature, is presented and discussed.

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“…This can be done routinely, more quickly and with higher taxonomic resolution than by morphology methods [122]. This is one of the most promising tools for forensic forestry [123].…”

Section: Illegal Loggingmentioning

confidence: 99%

Biotechnologies to Bridge the Schism in the Bioeconomy

Philp

2021

Energies

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Schism is the new normal for the bioeconomy concept. Since its proliferation in governments, the concept has been adapted to fit national or regional exigencies. Earlier this century the knowledge-based bioeconomy (KBBE) in Europe was seen as a technical and knowledge fix in the evolving sustainability landscape. At the OECD, the concept was further honed by imagining a future where biotechnologies contribute significantly to economic growth and development. Countries started to make national bioeconomy strategies. Some countries have diverged and made the bioeconomy both much larger and more general, involving a wide variety of sectors, such as industry, energy, healthcare, agriculture, aquaculture, forestry and fishing. Whatever the approach, what seems to be consistent is the need to reconcile environmental, social and economic sustainability. This paper attempts to establish one schism that could have ramifications for the future development of the bioeconomy. Some countries, including some of the largest economies but not exclusively so, are clearly following a biotechnology model, whereas others are clearly not. In the wake of the COVID-19 pandemic, biotechnologies offer outstanding potential in healthcare, although this sector is by no means included in all bioeconomy strategies. The paper also attempts to clarify how biotechnologies can address the grand challenges and the United Nations Sustainable Development Goals. The communities of scientists seem to have no difficulty with this, but citizens and governments find it more difficult. In fact, some biotechnologies are already well established, whereas others are emerging and more controversial.

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DNA barcoding for wood identification: global review of the last decade and future perspective

Cited by 28 publications

References 43 publications

Rapid identification of wood species using XRF and neural network machine learning

Rapid identification of wood species using XRF and neural network machine learning

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Biotechnologies to Bridge the Schism in the Bioeconomy

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