Observational studies on per- and polyfluoroalkyl substance toxicity in marine species: hints for the extrapolation of a screening value.

A statistical procedure has been developed to derive a screening value from an observational study related to the developmental toxicity observed in loggerhead turtle (Caretta caretta) eggs exposed to long chain per- and polyfluoroalkyl substances (PFAS). A dataset of 41 nests in which the hatching rate was inversely correlated with the increase in the PFAS concentration in unhatched eggs was processed via a categorical regression approach. After outliers identification and removal, categorical regression analysis tested the relationships of the outcomes with the following parameters: perfluoro-nonanoic (PFNA), decanoic (PFDA), undecanoic (PFUdA), and dodecanoic (PFDoA) acids; perfluoroctansulfonate (PFOS); polychlorobiphenyls (PCBs) 28, 52, 101, 138, 153, 180; lead (Pb), total mercury (Hgtot), and cadmium (Cd); and other factors, such as "nest site," "clutch size," "incubation duration," and "nest minimum depth," as confounders/modifiers of the hatching rate.

Characterisation of the optical response to seismic waves of submarine telecommunications cables with distributed and integrated fibre-optic sensing.

We present the first controlled-environment measurements of the optical path-length change response of telecommunication submarine cables to active seismic and acoustic waves. We perform the comparison among integrated (optical interferometry) and distributed (distributed acoustic sensing, DAS) fibre measurements and ground truth data acquired by 58 geophones, 20 three-axis seismometers and 7 microphones. The comparison between different seismic acquisition methods is an essential step towards full validation and calibration of the data acquired using novel cable-based sensing techniques.

An MIP-Based PFAS Sensor Exploiting Nanolayers on Plastic Optical Fibers for Ultra-Wide and Ultra-Low Detection Ranges-A Case Study of PFAS Detection in River Water.

In this work, a novel optical-chemical sensor for the detection of per- and polyfluorinated substances (PFASs) in a real scenario is presented. The proposed sensing approach exploits the multimode characteristics of plastic optical fibers (POFs) to achieve unconventional sensors via surface plasmon resonance (SPR) phenomena. The sensor is realized by the coupling of an SPR-POF platform with a novel chemical chip based on different polymeric nanolayers over the core of a D-shaped POF, one made up of an optical adhesive and one of a molecularly imprinted polymer (MIP) for PFAS.

Cross-Cutting Approach for the Characterization of Microbial Emerging Hazards in Agriculture Settings from Circular Economy-Driven Wastewater Streams.

The recycling of biowaste from municipal wastewater treatment plants (WWTPs) in agriculture represents a circular economy-driven source of water and nutrients to support food system sustainability. However, biowaste may represent the source of emerging hazards of anthropogenic and animal origin that can transfer from agricultural soils to related food production, posing a risk to consumers' health, as in the case of outbreaks due to the consumption of ready-to-eat leafy vegetables contaminated with pathogenic . From this perspective, we propose a combined strategy based on both classical methods and culture-independent metagenomics approaches to identify microbial hazards relevant to foodborne diseases in WWTP-related biowastes.