In agricultural research and plant physiology studies, portable photosynthesis systems are almost standard equipment in every laboratory. However, with numerous brands and models on the market, ranging from tens of thousands to hundreds of thousands of yuan, many researchers struggle with which model to choose when making their first purchase. Today, we'll discuss the key points for selecting a portable photosynthesis system and recommend several mainstream products for the 2026 market.
I. Before selecting, clarify three core questions:
1. What parameters will be measured?
The core parameters of a photosynthesis system include: net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO₂ concentration (Ci). Basic models typically measure 5-8 parameters, while high-end models can measure more than 15. For teaching experiments and routine testing, 15 parameters are sufficient; for high-level research, additional fluorescence modules may be needed.
2. How many samples will be measured? If only a few samples need to be tested daily, a single-leaf chamber is sufficient; however, for breeding projects or variety screening, where dozens of samples need to be tested daily, a multi-leaf chamber design is recommended, as it can increase efficiency several times over.
3. What is the environment?
Will it be used in a fixed laboratory or in the field? Is WiFi/4G data upload required? Is GPS positioning required? These factors will all influence model selection.
II. Mainstream Domestic Brands in 2026:
Laiyin Technology: IN-GH series, outstanding cost-performance ratio, Android smart system, price 18,000-89,000 RMB, fast after-sales service response.
For most university teaching, agricultural research, and grassroots testing units, domestic equipment can fully meet their needs, and the price advantage is obvious.
III. Recommendation for Laiyin IN-GH Series
Laiyin Technology is a long-established manufacturer of agricultural testing equipment in China, with product lines covering multiple fields such as soil testing, food safety, and plant physiology. Its IN-GH series photosynthesis meter is currently one of the best-selling and most reputable domestic products.
1. IN-GH1 Photosynthesis Analyzer – Entry-Level Choice
7-inch touchscreen, Android smart system
Comprehensive coverage of 15 measurement parameters
Portable design, lithium battery powered
Suitable for: University teaching experiments, small and medium-sized laboratories, agricultural technology extension stations
Multi-leaf chamber design, allowing simultaneous measurement of multiple samples
WiFi data transmission
Suitable for: Breeding projects, variety screening, large-scale sample measurement
Breeding units may need to measure dozens of samples per day. The IN-GH2's multi-leaf chamber design significantly improves work efficiency, making it the preferred solution for batch measurements.
3. IN-GH3 Photosynthesis Analyzer – High-End Research Customization
10-inch high-definition touchscreen for a better user experience
15 measurement parameters
OEM customization supported, functionality can be expanded according to needs
Suitable for: High-end research, key laboratories, customized needs
If the budget is sufficient and there are higher requirements for user experience and functional expansion, the IN-GH3 is a more ideal choice.
Confirm parameter requirements: Don't blindly pursue more parameters; just enough is sufficient. 15 parameters already cover the vast majority of application scenarios.
Pay attention to after-sales service: Photosynthesis meters require regular calibration and maintenance, so choosing a manufacturer with fast after-sales response is crucial. As a domestic brand, Laiyin Technology has a clear advantage in after-sales service.
Pay attention to leaf chamber compatibility: Different plants have significantly different leaf sizes, so confirm that the leaf chamber size is suitable for your measurement object when purchasing.
Data management: Features such as Android smart system, WiFi/4G upload, and cloud platform integration can greatly improve data management efficiency, and are recommended as a priority.
