We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Identification and morphological characterization of different types of plastic microparticles
AI summary Read the abstract
Researchers used multiple complementary techniques to identify and characterize the morphology and polymer composition of different types of plastic microparticles. They compared methods including optical microscopy, scanning electron microscopy, and spectroscopic analysis to evaluate their reliability. The study provides practical guidance for standardizing microplastic identification protocols, which is important for producing comparable results across different research laboratories.
The knowledge of the polymeric composition of microplastics (MPs) is interesting because offers useful information on the resistance, durability, and degradability of these materials, also allowing progress in the control of this contamination. However, there is currently a lack of reliable standardized methods for the identification, and characterization of the plastic microparticles. This work uses different techniques in a complementary manner for the identification, and characterization of MPs that more frequently are found in the environment. A total of 10 types of plastics were collected (polystyrene (PS), polyethylene terephthalate (PETE), polyethylene (PE), high- and low-density polyethylene (HDPE and LDPE, respectively), polyvinyl chloride (PVC), polypropylene (PP), polytetrafluoroethylene (PTFE), Polyamide (PA, Nylon 6,6) and poly-carbonate (PC)) and their chemical identification were analyzed by reflectance-attenuated infrared (FTIR-ATR). Furthermore, the samples were observed using light microscopy, and scan-ning electron microscopy (SEM). Also, staining with 12 different dyes was performed to improve the identification of microplastics. The results of this study revealed that PETE, PE, HDPE and LDPE, whose SEM images exhibited smoothness and flat uniformity of their surface, were not (or less) susceptible to adsorb staining solutions while PP, PA, PVC, and PTFE, were capable of adsorbing the dye solutions.
More Papers Like This
Challenges in Microplastics identification is one Detection method enough
AI summary Read the abstract
This paper examines the challenges of identifying microplastics using a single detection method, arguing that no single analytical technique is sufficient and that combining methods — such as microscopy with spectroscopy — is necessary for reliable and comprehensive microplastic characterization.
The micro-, submicron-, and nanoplastic hunt: A review of detection methods for plastic particles
AI summary Read the abstract
This review systematically summarizes detection and characterization methods for micro-, submicron-, and nanoplastics, providing recommendations for method validation, standardization, and analytical pathways suited to different sample types and research goals.
A critical comparison of the main characterization techniques for microplastics identification in an accelerated aging laboratory experiment
AI summary Read the abstract
This paper critically compared the main spectroscopic and microscopic characterization techniques used to identify microplastics in environmental samples, evaluating their strengths, limitations, and suitability for different matrices. The review highlighted the need for standardized methods to improve comparability across microplastic studies.
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
AI summary Read the abstract
Researchers compared microscopic and spectroscopic methods for analyzing microplastics in environmental samples, evaluating accuracy and efficiency and finding that spectroscopic confirmation substantially reduces misidentification errors.
A comprehensive toolkit for micro- to nanoplastic analysis
AI summary Read the abstract
This review presents a unified analytical toolkit integrating mass-based, particle-based, and morphology-based approaches to enable reliable detection, quantification, and standardization of micro- and nanoplastics across diverse environmental matrices. The framework is intended to improve comparability across studies and support robust monitoring of plastic pollution.
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.