Tag: Materials Industry

[ASAP] Methodological Challenges in the Application of QSAR Models for Chemical Prioritization and Toxicity Assessment: A Case Study on Aryl Hydrocarbon Receptor Activity in...

ACS Environmental AuDOI: 10.1021/acsenvironau.5c00224 Source: http://dx.doi.org/10.1021/acsenvironau.5c00224

L’Oréal Taps 13 Global Startups to Boost Climate, Nature, and Circular Innovation

L’Oréal, the global beauty giant, has unveiled its first cohort of startups participating in its new sustainable innovation program, L’AcceleratOR. The program chose 13...

[ASAP] Fine Tuning of Tyrosine-Derived Amphiphilic and Bolaamphiphilic Gelators for the Formation of pH-Responsive Supramolecular Gels

Precision ChemistryDOI: 10.1021/prechem.5c00326 Source: http://dx.doi.org/10.1021/prechem.5c00326

Caption competition

Whoever delivers the wittiest comment below will win a hamper of our pork products cured without added nitrates, nitrites and phosphates. If you are...

[ASAP] Luminescent Lanthanide Metal–Organic Frameworks for Temperature Sensing in Two Distinct Temperature Regions

Journal of the American Chemical SocietyDOI: 10.1021/jacs.5c12757 Source: http://dx.doi.org/10.1021/jacs.5c12757

[ASAP] Advances in Microbial and Enzymatic Degradation of Deoxynivalenol (DON)

Journal of Agricultural and Food ChemistryDOI: 10.1021/acs.jafc.5c14433 Source: http://dx.doi.org/10.1021/acs.jafc.5c14433

[ASAP] Bridging Theory and Experiment: A Teaching Project on l-Proline-Catalyzed Asymmetric Mannich Reactions

Journal of Chemical EducationDOI: 10.1021/acs.jchemed.5c00675 Source: http://dx.doi.org/10.1021/acs.jchemed.5c00675

Microsoft (MSFT) Signs 2.85 Million Soil Carbon Credit Deal With Indigo in Landmark Regenerative Agriculture Move

On January 15, Indigo Carbon PBC announced one of the largest soil carbon transactions to date, marking a major milestone for regenerative agriculture in...

[ASAP] Exploring Methane Dry Reforming Using Thermally Switchable High-Entropy Perovskite Oxide and an In Situ-Produced Molecular Nanocomposite

ACS Applied Nano MaterialsDOI: 10.1021/acsanm.5c05335 Source: http://dx.doi.org/10.1021/acsanm.5c05335

[ASAP] Machine Learning for Individual EV Classification Based on Highly Sensitive Multiplexed Mass Spectrometry Measurements

Journal of the American Society for Mass SpectrometryDOI: 10.1021/jasms.5c00344 Source: http://dx.doi.org/10.1021/jasms.5c00344

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