Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Mudge AnalBioChem2017 409-12.gif|240px]]</div>
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Matielo Publications2018 6-4.png|240px]]</div>
'''"[[Journal:Leaner and greener analysis of cannabinoids|Leaner and greener analysis of cannabinoids]]"'''
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'''"[[Journal:A bibliometric analysis of Cannabis publications: Six decades of research and a gap on studies with the plant|A bibliometric analysis of ''Cannabis'' publications: Six decades of research and a gap on studies with the plant]]"'''
  
There is an explosion in the number of [[Laboratory|labs]] analyzing [[wikipedia:Cannabinoid|cannabinoids]] in marijuana ([[wikipedia:Cannabis|''Cannabis sativa'' L.]], Cannabaceae); however, existing methods are inefficient, require expert analysts, and use large volumes of potentially environmentally damaging [[wikipedia:Solvent|solvents]]. The objective of this work was to develop and validate an accurate method for analyzing cannabinoids in cannabis raw materials and finished products that is more efficient and uses fewer toxic solvents. A method using [[high-performance liquid chromatography]] (HPLC) with [[Chromatography detector|diode-array detection]] (DAD) was developed for eight cannabinoids in ''Cannabis'' flowers and oils using a statistically guided optimization plan based on the principles of green chemistry. A single-laboratory validation determined the linearity, selectivity, accuracy, repeatability, intermediate precision, limit of detection, and limit of quantitation of the method. Amounts of individual cannabinoids above the limit of quantitation in the flowers ranged from 0.02 to 14.9% concentration (w/w), with repeatability ranging from 0.78 to 10.08% relative standard deviation. ('''[[Journal:Leaner and greener analysis of cannabinoids|Full article...]]''')<br />
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In this study we performed a bibliometric analysis focusing on the general patterns of scientific publications about ''[[wikipedia:Cannabis|Cannabis]]'', revealing their trends and limitations. Publications related to ''Cannabis'', released from 1960 to 2017, were retrieved from the Scopus database using six search terms. The search term “[[wikipedia:Genetics|Genetics]]” returned 53.4% of publications, while “forensic genetics” and [[wikipedia:Traceability|traceability]]” represented 2.3% and 0.1% of the publications, respectively. However, 43.1% of the studies were not directly related to ''Cannabis'' and, in some cases, ''Cannabis'' was just used as an example in the text. A significant increase in publications was observed after 2001, with most of the publications coming from Europe, followed by North America. Although the term "''Cannabis''" was found in the title, abstract, or keywords of 1284 publications, we detected a historical gap in studies on the plant. ('''[[Journal:A bibliometric analysis of Cannabis publications: Six decades of research and a gap on studies with the plant|Full article...]]''')<br />
 
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Revision as of 15:37, 12 August 2019

Fig2 Matielo Publications2018 6-4.png

"A bibliometric analysis of Cannabis publications: Six decades of research and a gap on studies with the plant"

In this study we performed a bibliometric analysis focusing on the general patterns of scientific publications about Cannabis, revealing their trends and limitations. Publications related to Cannabis, released from 1960 to 2017, were retrieved from the Scopus database using six search terms. The search term “Genetics” returned 53.4% of publications, while “forensic genetics” and “traceability” represented 2.3% and 0.1% of the publications, respectively. However, 43.1% of the studies were not directly related to Cannabis and, in some cases, Cannabis was just used as an example in the text. A significant increase in publications was observed after 2001, with most of the publications coming from Europe, followed by North America. Although the term "Cannabis" was found in the title, abstract, or keywords of 1284 publications, we detected a historical gap in studies on the plant. (Full article...)

Recently featured:

Leaner and greener analysis of cannabinoids
Laboratory information management software for engineered mini-protein therapeutic workflow
Defending our public biological databases as a global critical infrastructure