We explain the evolution and termination of vertically aligned carbon nanotube (CNT) “forests” by a collective mechanism, which is verified by temporal measurements of forest mass and height, as well as quantitative spatial mapping of CNT alignment by synchrotron X-ray scattering. We propose that forest growth consists of four stages: (I) self-organization; (II) steady growth with a constant CNT number density; (III) decay with a decreasing number density; and (IV) abrupt self-termination, which is coincident with a loss of alignment at the base of the forest. The abrupt loss of CNT alignment has been observed experimentally in many systems, yet termination of forest growth has previously been explained using models for individual CNTs, which do not consider the evolution of the CNT population. We propose that abrupt termination of CNT forest growth is caused by loss of the self-supporting structure, which is essential for formation of a CNT forest in the first place, and that this event is triggered by accumulating growth termination of individual CNTs. A finite element model accurately predicts the critical CNT number density at which forest growth terminates and demonstrates the essential role of mechanical contact in maintaining growth of self-assembled films of filamentary nanostructures.

Although per- and polyfluoroalkyl substances (PFASs) have always been a key issue in the global environmental field, there are still a lot of undiscovered PFASs in the environment due to new PFAS alternatives developed by manufacturers. Wastewater treatment plants (WWTPs), as one of the sources for PFASs, are an important part of the process of releasing new PFASs into the environment. In this study, suspect screening and PFAS homologue analysis with quadrupole time-of-flight tandem mass spectrometry were used to discover PFASs in wastewater from a WWTP near Yangtze River. Fifteen classes with 90 PFASs were identified, including 12 legacy PFASs (2 classes), 41 previously reported PFASs (7 classes), and 37 new PFASs (6 classes), and 18 of these PFASs were also detected in the nearby Yangtze River. Only 1 PFAS class was removed through the treatment processes (fold change < 1/6). Conversely, 4 PFAS classes increased through the treatment processes (fold change > 6), which could be the transformation products of PFAS precursors. These results implied that most discovered PFASs were not effectively removed in the WWTP. Chlorine-substituted perfluoroalkyl carboxylates (Cl-PFCAs) as the main component of wastewater were detected only in downstream, meaning that Cl-PFCAs in downstream possibly originated from the WWTP.

Airborne particulate matter (APM) has an important role in inhalation exposure, especially in China. The environmental occurrence of conventional and unknown per- and polyfluoroalkyl substances (PFASs) in APM remains unclear. Therefore, in this study, a two-stage experiment was designed to identify potential PFASs and to investigate their distribution in APM. Indoor and outdoor APM samples were collected from five selected cities in China. Through PFAS homologue analysis and suspect screening, 50 peaks were identified with different confidence levels (levels 1-3). Among the identified PFASs, 34 emerging PFASs including p-perfluorous nonenoxybenzenesulfonate, 6:2 polyfluoroalkyl phosphate diester, n:2 fluorotelomer sulfonates, n:2 fluorinated telomer acids, n:2 chlorinated polyfluoroalkyl ether sulfonic acids, 1:n polyfluoroalkyl ether carboxylic acids (1:n PFECAs), perfluoroalkyl dioic acids (PFdiOAs), hydro-substituted perfluoroalkyl dioic acids (H-PFdiOAs), and unsaturated perfluorinated alcohols (UPFAs) were identified in APM. In particular, 1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs were first detected in APM. Although human exposure to perfluorooctanoic acid via inhaled APM was noted to not be a risk (hazard quotient <0.1) in this study, the expansion of the PFASs screened in APM implies that human exposure to PFASs might be much more serious and should be considered in future risk assessments in China.