drainage systems, not only detracts from the urban
landscape but also potentially hinders tourism and
economic progress, degrades air quality, undermines
soil and microbial diversity, and harms ecosystems.
The environmental impact of these discarded masks is
intricately linked to their material composition.
Disposable masks typically consist of three layers: an
inner layer of standard hygienic gauze or non-woven
fabric, a middle layer of ultrafine polypropylene fiber
melt-blown material, and an outer layer of specialized
antibacterial material. During decomposition, these
materials release microplastics, posing significant
environmental pollution and waste challenges.
This study aims to examine the process of
microplastic release from personal protective
equipment, identifying microplastics as an emerging
contaminant and offering recommendations to
enhance our understanding of the microplastic release
process through advanced detection techniques. The
significance of this research lies in its potential to
enhance our comprehension of microplastic sources
and transmission pathways, providing a scientific
foundation for the development of effective
microplastic pollution prevention and control
strategies. By assessing the strengths and weaknesses
of various detection methods, this study also paves the
way for future microplastic detection and management
efforts, thereby playing a pivotal role in environmental
protection and public health advancement.
2 METHODS FOR DETECTING
MICROPLASTIC RELEASE
FROM PERSONAL
PROTECTIVE EQUIPMENT
(PPE)
2.1 Visual Inspection Method
Researchers primarily utilize the visual inspection
method, which involves naked-eye observation and
microscopic examination, to enumerate sample
particles. Microscopy aids researchers in
distinguishing microplastics by magnifying their
surface texture and structure, thereby minimizing
interference from other organic and inorganic
substances adhering to the mask's surface. However,
recent studies indicate a misidentification rate
exceeding 20% for plastic-like particles using
microscopy, with a notably high misidentification
rate of up to 70% for transparent microplastics (Ho
and Not, 2019). Such deviations can arise from
various factors, including potential oversights during
scientific observation or the inherently challenging
nature of observing extremely small microplastic
particles. To enhance accuracy, samples frequently
undergo pretreatment, commonly involving staining
with a Nile red solution. This staining process enables
the particles to fluoresce green under a fluorescence
microscope, facilitating easier detection by the
observer.
2.2 Spectral Analysis Method
FTIR (Fourier Transform Infrared Spectroscopy)
stands as a prevalent technique in chemical analysis,
notably adept at detecting microplastics. IR
spectroscopy operates by gauging the transitions
between molecular vibrational energy levels through
the absorption of radiation (Xu et al., 2019). Distinct
materials exhibit unique absorption spectra, forming
the scientific grounds for material differentiation. By
referencing spectral databases, unknown materials
can be accurately identified, and chemical images
subsequently generated. Technological
advancements have refined FTIR and spawned
numerous derivatives. Notably, FTIR
microspectroscopy boasts the capability to detect
samples exceeding 10 μm. Additionally, focal plane
array spectroscopy offers insights into the chemical
and physical attributes of analyzed particles
(Ramsperger et al., 2020).
Raman spectroscopy, another valuable tool,
employs scattered light emerging from the interaction
of light and matter to dissect the chemical structure of
substances. Upon light's impact on a sample, the
majority of it scatters at an unchanged frequency, a
phenomenon known as Rayleigh scattering.
However, a minor fraction of light, upon colliding
with sample molecules, undergoes a frequency shift,
termed Raman scattering. This frequency alteration
correlates with the vibration and rotational energy
levels of the sample molecules, enabling the
identification of different species. Hyperspectral
imaging, a cutting-edge technology, excels in spectral
resolution and captures spectral data within narrow
bands. This capability allows for the precise
identification of spectral signatures among various
materials, facilitating material resolution and
identification.
2.3 Thermal Analysis Method
Thermal analysis, while being an effective technique,
involves the decomposition of the sample. This
process entails heating the plastic sample to high