Algal blooms pose a serious threat to aquatic ecosystems and public health, necessitating efficient monitoring methods. However, traditional optical microscopy methods face two major technical bottlenecks: first, inefficient manual sorting, which makes it difficult to rapidly process large quantities of samples in the field; and second, reliance on laboratory analysis, which prevents in-situ real-time monitoring and results in delayed early warning of sudden algal blooms.

Portable algae analyzer

The Portable Algae Classification Analyzer, developed based on fluorescence spectroscopy, rapidly monitors algae by identifying and analyzing the specific fluorescence spectra of different algae phyla. It is a real-time monitoring device capable of classifying algae species in water samples and quantifying their concentrations. Therefore, the Portable Algae Classification Analyzer can:

① Classify and quantify the concentrations of algae in water samples, including green algae, cyanobacteria, silicophytes/dinoflagellates, and cryptophytes;

② Measure total chlorophyll a concentration in water samples;

③ Count algae species. Compared to traditional microscopic methods, the Portable Algae Classification Analyzer offers rapid analysis and ease of operation, significantly reducing the workload of algae classification analysis and effectively minimizing human error. Furthermore, it enables in-situ, real-time monitoring.

Core Advantages

• Intelligent Detection - Fluorescence Spectrum Library: Built-in fluorescence signature libraries for five major algae categories, supports user-created fingerprints, and automatically analyzes and counts algae species.
• Ultimate Connectivity - Full-Scenario Data Streaming: Two-way Bluetooth transmission, real-time data viewing via handheld devices.
• Military-Grade Performance - Massive Data Storage: Standard 100GB of storage (over 1 million data points), with expandable capacity to meet long-term monitoring needs.
• Extensible Ecosystem - Modular Expansion: Optional mixing station supports expansion of five or more algae categories. Turbidity compensation algorithm maintains ±2% accuracy in high-turbidity environments.

Monitoring method

Emergency Monitoring Long-term monitoring

Application Cases

On-site inspection at a water source

Solving a pain point: Traditional algal bloom warnings require laboratory sample testing, which takes approximately two days. Existing technology enables rapid on-site testing, reducing warning time to just 10 minutes.

Results: Effectively prevented three potential drinking water safety incidents.

Aquaculture farmers at an aquaculture base use handheld devices to view data.

Solving the pain point: Economic losses caused by Gymnodinium algae.

Results: Producing data within seconds to identify harmful algae and reduce fish mortality.

Application Areas

Water source monitoring	Water supply company	Aquaculture farm	Technology institution

Media Contact
Company Name: Tianjin ShareShine Technology Development Co., Ltd.
Email: Send Email
Phone: 0086-022-8371-9741
Address:Building D, No.5 Lanyuan Road
City: Tianjin
Country: China
Website: https://www.tjtytech.com/