0
Article Tier 2 Sign in to save

Low curvature combined with high amorphization improves SERS sensitivity of semiconducting Rh–Se mesoporous nanospheres toward non-adsorbing resistant pollutants

AI summary Read the abstract

Scientists designed a new nanomaterial that makes it easier to detect harmful pollutants, including tricky-to-spot microplastics, pesticides, and other chemicals, even when they're hiding in dirty wastewater. This matters because many toxic substances don't easily show up with current detection tools, so this breakthrough could lead to better, more sensitive tests for spotting contamination in our water before it reaches us. While this is still early-stage lab research, it opens the door to faster, cheaper ways to monitor pollution that could affect human health.

Polymers
Study Type Environmental

Amorphous metal–selenium (M–Se) alloys hold promise for applications such as catalysis, electronics, and surface-enhanced Raman spectroscopy (SERS) sensing due to their surface reactivity, isotropic properties, and tunable bandgap. However, controlling the synthesis of nanostructured noble-metal-based M–Se materials is difficult, as the strong metallic bonding and low chemical reactivity of noble metals hinder homogeneous selenization. Here we show a one-step micellar self-assembly reduction method to produce amorphous semiconducting Rh–Se mesoporous nanospheres (a-Rh–Se MNs). We systematically investigate how composition, surface curvature, and crystallinity affect SERS performance. a-Rh–Se MNs with low curvature and high amorphization achieve enhanced sensitivity toward typically non-adsorbing, low-polarizability analytes, including hexachlorobenzene, anthracene, and polytetrafluoroethylene microplastics (even in wastewater). Combined experimental and theoretical analyses reveal that co-modulating curvature and amorphization tunes key electronic descriptors (e.g., d-band center and work function), thereby promoting resonant charge transfer. This finding overturns the conventional paradigm that prioritizes high-surface-area substrates. Our work establishes mesostructured a-Rh–Se for SERS applications and provides insights into M–Se surface chemistry for designing advanced SERS materials. Surface-enhanced Raman spectroscopy can be used to detect hard-to-measure pollutants, but amorphous nanomaterials pose challenges in terms of morphology and composition control. Here, the authors illustrate the interplay of curvature and amorphization in semiconducting mesoporous Rh–Se nanospheres for maximizing SERS activity.

More Papers Like This

Article Tier 2

Superhydrophobic Surface-Enhanced Raman Spectroscopy (SERS) Substrates for Sensitive Detection of Trace Nanoplastics in Water

AI summary Read the abstract

Researchers developed a new method to detect extremely small nanoplastics in water by combining a water-repelling surface that concentrates particles with a technique called SERS that amplifies their chemical signal. The method can identify common nanoplastics like polystyrene and PMMA at very low concentrations, which is an important step toward monitoring these tiny pollutants that are difficult to detect with current tools.

Article Tier 2

Trapping and Detecting Nanoplastics Using Metal–Phenolic Networks–Functionalized Membranes with SERS

AI summary Read the abstract

Scientists have developed a cheap, easy-to-use filter that can catch and detect even the tiniest plastic particles (as small as 50 nanometers—much smaller than a human cell) in water, including tap water. This matters because nanoplastics are so small they're hard to detect with current tools, yet they may be small enough to enter our bloodstream and organs, so better detection methods are a key step toward understanding and controlling our exposure to these pollutants.

Article Tier 2

NiO/AgNPs nanowell enhanced SERS sensor for efficient detection of micro/nanoplastics in beverages

AI summary Read the abstract

Researchers developed a new sensor using nickel oxide and silver nanoparticles that can detect tiny micro and nanoplastics in beverages at very low concentrations. The sensor uses a technique called SERS (surface-enhanced Raman spectroscopy) to identify plastic particles that are too small for conventional methods to catch. This tool could help monitor microplastic contamination in drinks, providing better data about how much plastic people are consuming.

Article Tier 2

Surface plasmon resonance biosensor with plastic-binding peptide for nanoplastic detection in environmental water

AI summary Read the abstract

Scientists have developed a new sensor that can quickly detect tiny plastic particles (nanoplastics) in water by using a special protein that sticks to plastic like a magnet. This matters because nanoplastics are so small they're hard to find with current tools, yet they may pose health risks if they end up in our water supply — this device could help researchers and water quality experts spot contamination faster and more easily, even in real pond and aquarium water. While still an early-stage lab tool, it's a promising step toward better monitoring of plastic pollution that could eventually protect drinking water safety.

Article Tier 2

Interfacial Regulation–Driven Dual-Enrichment SERS Coupled With Deep Learning Enable Ultrasensitive and In Situ Identification of Microplastics in Natural Waters

AI summary Read the abstract

Scientists have developed a new sensor technology that can detect tiny microplastic particles in real water samples—like rivers or tap water—at extremely low levels, without needing complex lab processing. By combining specially designed metal nanoparticles with AI-powered pattern recognition, the tool can also tell different types of plastic apart, even when they're mixed together. This matters because better detection tools are a key first step toward understanding how much plastic pollution is actually in our water supplies and food chain, which is important for assessing potential risks to human health.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper