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Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning.
Sensors (Basel)
November 2024
The Artificial Intelligence Research Center, Novosibirsk State University, Pirogova Str. 2, 630090 Novosibirsk, Russia.
In this study, we address the challenge of estimating the resonance frequency of a photoacoustic detector (PAD) gas cell under varying temperature conditions, which is crucial for improving the accuracy of gas concentration measurements. We introduce a novel approach that uses a long short-term memory network and a self-attention mechanism to model resonance frequency shifts based on temperature data. To investigate the impact of the gas mixture temperature on the resonance frequency, we modified the PAD to include an internal temperature sensor.
View Article and Find Full Text PDFUnderstanding the Directed Evolution of a Natural-like Efficient Artificial Metalloenzyme.
J Phys Chem B
December 2024
Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, Kolkata 700064, India.
The artificial metalloenzyme containing iridium in place of iron along with four directed evolution mutations C317G, T213G, L69V, and V254L in a natural cytochrome P450 presents an important milestone in merging the extraordinary efficiency of biocatalysts with the versatility of small molecule chemical catalysts in catalyzing a new-to-nature carbene insertion reaction. This is a show-stopper enzyme, as it exhibits a catalytic efficiency similar to that of natural enzymes. Despite this remarkable discovery, there is no mechanistic and structural understanding as to why it displays extraordinary efficiency after the incorporation of the four active site mutations by directed evolution methods, which so far has been intractable to any experimental methods.
View Article and Find Full Text PDFA significant share of anthropogenic global warming comes from livestock production. There is debate about whether there can be any role for livestock in a climatically sustainable future; the debate is particularly heated for cows and sheep, largely due to the methane they burp out. However, short-lived gases like methane affect climate in a fundamentally different way than long-lived gases like carbon dioxide.
View Article and Find Full Text PDFEvolutionary engineering of methylotrophic E. coli enables fast growth on methanol.
Nat Commun
October 2024
Institute of Biological Chemistry, Academia Sinica, Taipei City, Taiwan, ROC.
Article Synopsis
- Methanol can be produced from CO or methane, making it a key player in addressing climate change through a methanol economy.
- Researchers developed a new strain of E. coli that grows rapidly, with a doubling time of 3.5 hours, which is competitive with other methylotrophs.
- The study highlights the use of dynamic copy number variation (CNV) in creating synthetic microorganisms and points to their potential for sustainable biotechnological advancements.
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