0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Sign in to save

Development of a Compact and Portable Terahertz Imaging System for Industrial Applications

2024 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
A. Mercy Latha, Rishi Ranjan

Summary

Researchers developed a compact, portable terahertz imaging device suitable for use outside the laboratory, demonstrating its ability to detect microplastics in soil among a range of other applications. While microplastic detection is one of several uses tested, the availability of low-cost, field-deployable detection technology could support faster and broader environmental monitoring of microplastic contamination.

Terahertz (THz) imaging, which employs THz radiation to see-through different materials, has a wide range of applications, from nondestructive evaluation to biomedical applications. However, typically, $\mathbf{T H z}$ imaging systems are limited to laboratory-level optical bench-based setups with sophisticated vibration isolators for efficient operation. The sensitive nature of various components of the THz imaging system has prevented its widespread usage in industrial in-field applications. Hence, the authors have developed a compact and portable terahertz imaging system suitable for in-field industrial applications. The various components of the system have been carefully selected, taking the ruggedness and low cost into consideration. The suitability of the portable THz imaging system to different application areas has been demonstrated, which includes security screening to detect concealing objects, nondestructive testing of composites, moisture detection in leaves, microplastics identification in soil, food quality assessment, porosity change assessment in pharmaceutical tablets, etc. These imaging results prove the capability of this system to be deployed in industrial field applications in the future.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Optical parameters extraction of soil and its microplastics contamination using terahertz spectroscopy

Researchers used terahertz spectroscopy to detect and quantify low-density polyethylene microplastics mixed into soil at different concentrations, finding that the technique could distinguish contaminated from clean soil based on changes in refractive index and signal attenuation. Terahertz spectroscopy is non-destructive and rapid, making it a potentially valuable tool for in-field soil microplastic screening without the need for laboratory extraction.

Article Tier 2

Towards a fast and generalized microplastic quantification method in soil using terahertz spectroscopy

Researchers compared terahertz and near-infrared spectroscopy for quantifying microplastics in soil, finding that terahertz spectroscopy offered a faster and more accurate approach than NIR for distinguishing household microplastics from standard reference polymers in soil matrices.

Article Tier 2

Study on Rapid Quantitative Detection of Soil MPs Based on Terahertz Time-Domain Spectroscopy

Researchers developed a rapid method for detecting and quantifying microplastics in soil using terahertz time-domain spectroscopy combined with machine learning algorithms. The classification models achieved high accuracy in identifying different types of microplastics including polyethylene, polystyrene, and polypropylene. The study suggests that terahertz spectroscopy could provide a faster and more efficient alternative to current methods for monitoring microplastic contamination in agricultural soils.

Article Tier 2

Microplastic detection in soil by THz Time-Domain hyperspectral imaging combined with unsupervised learning analysis

Researchers applied terahertz time-domain hyperspectral imaging combined with multiple unsupervised machine-learning algorithms to detect and spatially map low-density polyethylene microplastics in soil, demonstrating that all five methods consistently separated plastic from soil without requiring labeled training data, establishing a reference-free detection approach.

Article Tier 2

Detection of Microplastic in Salts Using Terahertz Time-Domain Spectroscopy

Researchers demonstrated that terahertz spectroscopy can detect microplastics embedded in table salt at different concentrations. This technology could offer a new non-destructive method for screening food products for microplastic contamination.

Share this paper