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International Journal of Medicinal Mushrooms

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1521-9437

ISSN Online: 1940-4344

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.2 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00066 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.34 SJR: 0.274 SNIP: 0.41 CiteScore™:: 2.8 H-Index: 37

Indexed in

Acidified Hot Water Extraction of Adenosine, Cordycepin, and Polysaccharides from the Chinese Caterpillar Mushroom, Ophiocordyceps sinensis CS1197 (Ascomycetes): Application of an Artificial Neural Network and Evaluation of Antioxidant and Antibacterial Activities

Volumen 18, Ausgabe 10, 2016, pp. 915-926
DOI: 10.1615/IntJMedMushrooms.v18.i10.70
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ABSTRAKT

The effects of process variables (temperature, time, and pH) on the extraction of adenosine, cordycepin, and polysaccharides from Ophiocordyceps sinensis CS1197 were studied using response surface methodology (RSM) and an artificial neural network (ANN). The ANN model resulted in low root mean square errors (0.022, 0.079, 0.018) and high R2 values (0.995, 0.934, 0.997) for adenosine, cordycepin, and polysaccharide yields, respectively, which implied good agreement between the predicted and actual data. An overall desirability of 0.86 suggested optimal extraction conditions (temperature, 70°C; time, 1 hour; and pH ~4) for adenosine (0.205%) and cordycepin (0.246%) yields. For polysaccharide yield (6.34%), an overall desirability of 0.93 suggested extraction conditions: temperature, 87°C; time, 3.4 hours, and pH ~4. The water extract exhibited better antioxidant activity. The antibacterial activity of the water extract was assayed against Bacillus subtilis, Staphylococcus aureus, and Escherichia coli, and larger amounts of the extract (30 and 50 mg) exhibited antibacterial activity (<35%). The predictive ability of an ANN is superior to RSM and resulted in the best agreement between experimental and predicted values.

REFERENZIERT VON
  1. Mahfuz S.U., Long S.F., Piao X.S., Role of medicinal mushroom on growth performance and physiological responses in broiler chicken, World's Poultry Science Journal, 76, 1, 2020. Crossref

  2. Gong Jingyan, Jingjing Wang, Xiao Gongnian, Huang Jun, You Yuru, Yuan Haina, Liu Shiwang, Zhang Ying, Optimization of Ultrasonic-Assisted Process of Adenosine Extraction from Bamboo Shavings, Pharmaceutical Chemistry Journal, 53, 12, 2020. Crossref

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