Changes in the small-molecule fingerprints of rice planted near an industrial explosion site in Taiwan.

A fire and explosion accident at a petrochemical complex sparked concerns over the rice health and production in nearby paddy fields. To unveil the potential effects, this study investigated small molecule changes in rice harvested in nearby counties using non-target analysis. Rice grains were harvested three, eight, 15, and 20 months after the accident from a total of ten townships.

Observing Mixed Chemical Reactions at the Positive Electrode in the High-Performance Self-Powered Electrochemical Humidity Sensor.

Electrochemical humidity (ECH) sensors that integrate power generation and humidity sensing have attracted great research attention in recent years. However, the design of high-performance ECH sensors faces many challenges. Namely, the working mechanism of the ECH sensors is still controversial, and related self-powered applications have not been well implemented.

Soil Microbiota Modulates Root Transcriptome With Divergent Effect on Maize Growth Under Low and High Phosphorus Inputs.

Plant growth can be promoted by beneficial microorganisms, or inhibited by detrimental ones. Although the interaction process between a single microbial species and its host has been extensively studied, the growth and transcriptional response of the host to soil microbiota is poorly understood. We planted maize in natural or sterile soil collected from a long-term experimental site with two different soil phosphate (P) regimes.

A Novel Calibration Scheme of Gas Sensor Array for a More Accurate Measurement Model of Mixed Gases.

Gas sensor arrays (GSAs) usually encounter challenges due to the cross-contamination of mixed gases, leading to reduced accuracy in measuring gas mixtures. However, with the advent of artificial intelligence, there is a promising avenue for addressing this issue effectively. In pursuit of more accurate mixed gas measurements, we proposed a measurement model leveraging neural networks.