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Solving Industry‑Level Detection Challenges | The AML518, a domestically produced fully automated microplastic analyzer, operates unattended 24/7, redefining the benchmark for microplastic analysis.

Jul 27,2026

Solving Industry‑Level Detection Challenges | The AML518, a domestically produced fully automated microplastic analyzer, operates unattended 24/7, redefining the benchmark for microplastic analysis.

Some time ago, Emory brought with him AML518 The fully automated microplastic analyzer participated in an academic conference, where it was demonstrated live and technical insights were shared. Leveraging its fully automated, cutting-edge capabilities, it earned unanimous praise and high recognition from the attending faculty members and experts.

During on-site discussions, we found that microplastic detection in China currently faces the following challenges:

  Low efficiency

  High labor costs

  The outcome is hard to control.

  There is a significant staffing shortage.

These four core challenges are also the most pressing pain points for frontline testing personnel.

Why do these challenges arise?

1. At present, the industry’s mainstream testing equipment largely operates in a semi-automated mode, with the entire testing process being cumbersome and heavily reliant on manual intervention.

After the sample has undergone preliminary processing, laboratory personnel must manually inspect each water sample under a microscope to identify microplastic particles, then load them into the instrument in batches for individual analysis and detection.

The entire process is time-consuming, labor-intensive, and places a substantial workload on human resources.

2. Today, major functional monitoring agencies are grappling with severe staffing shortages and manpower constraints. Even when research institutions and universities rely on students to assist with testing, numerous challenges persist:

Dedicated personnel are hired to conduct testing, resulting in persistently high long-term labor costs.

Students exhibit high turnover and varying levels of operational proficiency, which can easily lead to testing errors.

Manual selection + The manually assisted analysis approach cannot eliminate human operational errors, directly compromising the accuracy of experimental data and the stability of test results.

Time-consuming, labor-intensive, costly, and characterized by uncontrollable data have become the major bottlenecks hindering large-scale microplastic detection and routine monitoring.

 

Addressing key industry pain points, Aimoli has deeply cultivated the environmental monitoring sector, independently developing and building… AML518 The fully automated microplastic analyzer transforms the traditional semi‑manual inspection approach, delivering a groundbreaking upgrade to detection technology.

Fully automatic detection

The equipment is truly realized. 24 Hourly unattended detection eliminates the need for manual, individual sorting of microplastic particles. After the sample undergoes standard pre-processing, simply place the water sample on the detection platform, and the instrument will automatically perform sampling, sample loading, particle identification, precise analysis, data aggregation, and generate a complete report—entirely without human intervention.

Improve efficiency and reduce errors.

The entire process requires no manual intervention, eliminating the need for manual sorting, manual machine loading, and manual data analysis. This significantly reduces reliance on specialized testing personnel and substantially cuts both labor and time costs.

At the same time, it eliminates errors introduced by manual operations and mitigates data instability caused by staff turnover, ensuring that test results are objective, accurate, and highly reproducible, while boosting testing efficiency several-fold.

Intelligent Continuous Monitoring

From tedious manual operations to fully automated, intelligent analysis, and from low efficiency to round-the-clock, uninterrupted operation, it perfectly addresses all the core challenges currently faced in microplastic detection within research laboratories and environmental monitoring agencies.

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