Themed collection Topic Collection: Sensors, Detection and Monitoring

This review presents an overview of various analytical techniques for arsenic determination in drinking water, and will enhance awareness and appreciation of their role in informing and protecting our environment and water resources, globally.

Non-enzymatic nanocomposites and their modified electrodes, including carbon nanotubes, graphene, metal nanoparticles, metal oxides, conductive polymers, MOFs and derivatives, molecularly imprinted polymers are discussed in the rapid electrochemical sensing of OPPs.

Endocrine disrupting chemicals are a group of contaminants that have severe effects on humans and animals when exposed, like cancer and alterations to the nervous and reproductive systems.

Monitoring bacteria is essential for ensuring microbial safety of water sources, including river water and treated wastewater.

AuNCs supported on PNIPAM and PAAM polymer matrices were synthesized and characterized. Nanomaterials are selective and sensitive to detect mercury in water by fluorescence.

The extensive use of artificial sweeteners (ASs) has raised concerns regarding their presence, fate, and detrimental effects in water resources.

Medical waste X-ray films are used to fabricate a triboelectric nanogenerator (TENG). The high-power density of (1.39 W m⁻²) TENG demonstrated its potential applications in self-powered devices, sensors, and smart buildings.

N–C codoped Fe nanoparticles were used as a dual enzyme mimetic nanozyme. Colorimetric sensing platforms of antibiotics are important for environmental analysis. The superparamagnetism of Fe–N–C was conducive to its recycling and reuse.

This study contributes to the collective evaluation of SARS-CoV-2 RNA persistence and removal along the wastewater treatment stages of a treatment plant in San Antonio, Texas.

Reflectance-FTIR spectroscopy provides opportunities for faster, more automated, and cheaper detection of microplastics in the environment.

NER, a hidden hazard or a safe sink–we are going to find that out!

Ensemble-hybrid ML models can explain and predict the variability in water quality parameters and living microorganism behavior in natural streams with satisfactory prediction accuracies based on specific physicochemical parameters.

The simultaneous monitoring of the triple stable S-isotopes (³²S, ³³S and ³⁴S) of hydrogen sulfide has been conducted with a VCOF-CRDS set-up (a V-shaped cavity for optical feedback coupled to a cavity ring down spectrometer).

This work constructed an opticals tweezers-Raman spectroscopy system to characterize the size variation of single aerosols and quantify the their hygroscopicity and volatility.

New technologies to improve the investigation of biodegradability and the environmental fate of pharmaceutical formulations.

Portable apparatus directly measures albedo from sensing areas <1000 m² and captures differences from crops, seasons, and sub-hourly snowmelt.

Near real-time data-driven watershed monitoring aids regulatory compliance and improved water quality. CANARY helped identify suspected illicit dumping events.