ACS Omega Monthly Update - April 2021
ACS Omega - In The News
The yeast Candida albicans can cause itchy, painful urinary tract and vaginal yeast infections. For women in low-resource settings who lack access to healthcare facilities, these infections create substantial social and economic burdens. Now, researchers reporting in ACS Omega have developed color-changing threads that turn bright pink in the presence of C. albicans. When embedded in tampons or sanitary napkins, they could allow women to quickly and discreetly sel-diagnose vulvovaginal yeast infections. Read more at MedicalXpress.com
Naresh Kumar Mani* et al, Knitting Thread Devices: Detecting Candida albicans Using Napkins and Tampons, ACS Omega (2021). DOI: 10.1021/acsomega.1c00806
Key Journal Metrics
- ACS Omega published 233 articles in the month of May 2021, for a total of 1,104 YTD.
- Articles have been accessed 599,600 times in April, continuing the positive trend from last month. In total this year the articles have been accessed a grand total of 2,170,663 YTD; two thirds of the access being from non-institutional users.
Published Issues
April 6, 2021
Vol. 6, Issue 13
April 13, 2021
Vol. 6, Issue 14
April 20, 2021
Vol. 6, Issue 15
April 27, 2021
Vol. 6, Issue 16
Featured Articles
Wen Ren, Saeed Ahmad, and Joseph Irudayaraj, 16S rRNA Monitoring Point-of-Care Magnetic Focus Lateral Flow Sensor, DOI: 10.1021/acsomega.1c01307
In this Article, the authors approach highlights the possibility of extending this concept to screen specific nucleic acid sequences for the monitoring of infectious pathogens or microbiome implicated in a range of diseases including cancer.
Rajendra P. Joshi, Andrew McNaughton, Dennis G. Thomas, Christopher S. Henry, Shane R. Canon, Lee Ann McCue, and Neeraj Kumar, Quantum Mechanical Methods Predict Accurate Thermodynamics of Biochemical Reactions, DOI: 10.1021/acsomega.1c00997
In this Article, the authors have devised a benchmarked set of quantum chemical methods to accurately predict the free energies of biochemical reactions, thus enabling the prediction of reaction rates and metabolite concentration ranges.
Francesca Peccati and Gonzalo Jiménez-Osés, Enthalpy–Entropy Compensation in Biomolecular Recognition: A Computational Perspective, DOI: 10.1021/acsomega.1c00485
In this Mini-Review the authors present a series of examples to illustrate different approaches to interpret and predict compensation phenomena at an atomistic level, which is far from trivial to predict using canonical, classic textbook assumptions.
Kumarjyoti Roy, Subhas Chandra Debnath, Aphiwat Pongwisuthiruchte, and Pranut Potiyaraj, Review on the Conceptual Design of Self-Healable Nitrile Rubber Composites, DOI: 10.1021/acsomega.0c05743
In this Mini-Review, the advancement in the research field related to self-healable nitrile rubber (NBR) composites by considering healing strategies and healing conditions are considered. Special attention is given to understand the healing mechanism in reversibly cross-linked NBR systems.
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