In a remarkable advancement for chemical sensing technology, a research team from Nanjing Forestry University has recently developed an ultrasensitive cellulose-based fluorescent sensor capable of highly selective detection of aluminum ions (Al^3+). Published in the journal ‘Carbohydrate Polymers’, this groundbreaking study not only pioneers in the field of environmental monitoring and industrial processing but also paves the way for potential biomedical applications.

The research paper, titled “An ultrasensitive cellulose-based fluorescent sensor for Al^3+”, is authored by Zhou Guocheng, Zhang Zilong, Meng Zhiyuan, Liang Yueyin, Qian Cheng, Wang Zhonglong, and Yang Yiqin from the Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials at the College of Light Industry and Food, and the College of Chemical Engineering at Nanjing Forestry University. Published online on March 15, 2024, the DOI for the article is 10.1016/j.carbpol.2023.121726.

Development and Significance of the Sensor

Aluminum is the most abundant metal in the Earth’s crust, and its compounds are widely used in industry and everyday products. Unfortunately, excessive aluminum exposure has been linked to various health problems, necessitating careful monitoring of this metal in the environment, industrial waste, and drinking water. Conventional methods for detecting aluminum, such as atomic absorption spectroscopy, are time-consuming and often require complex procedures. The novel sensor developed by the Nanjing team offers a far more efficient and straightforward solution.

By leveraging the natural polymer cellulose as the sensor’s backbone, the research team utilized the robustness and flexibility of this biomaterial, which is renowned for its environmental friendliness and abundant availability. The sensor operates on the principle that certain fluorescent dyes, when introduced to cellulose, will react in the presence of Al^3+ ions, causing a distinct fluorescence that is easy to detect even at very low concentrations.

Advanced Materials and Techniques

At the heart of the sensor lies a specially designed flavonol derivative, which, coupled with ethyl cellulose through electrostatic spinning, creates a highly responsive matrix. Electrostatic spinning is a cutting-edge technique that facilitates the production of ultrafine fibers with excellent surface area-to-volume ratios, intensifying the sensor’s sensitivity to aluminum ions.

The specific flavonol derivative was chosen after rigorous testing of various compounds for its strong binding affinity to aluminum ions and its fluorescent properties. When Al^3+ ions are present, they induce a change in the electron distribution within the flavonol derivative, thereby generating a fluorescent signal. The fluorescence intensity correlates directly with the concentration of Al^3+, allowing for precise quantification of the metal ions.

Impact of the Sensor on Industry and Environment

The new sensor presents numerous advantages over current metal ion detection methods. It is ultrasensitive, suggesting the potential for detecting aluminum ions below the parts-per-billion (ppb) threshold, which has significant implications for environmental monitoring where early detection of contaminants is crucial. Industrial sectors that use aluminum extensively can benefit from real-time monitoring of wastewater, ensuring compliance with environmental regulations and improving the sustainability of their operations.

Furthermore, by utilizing a biodegradable polymer like cellulose, this sensor advocates for a greener approach to chemical sensing. It underscores the ongoing efforts to move away from non-renewable and potentially harmful substances in sensor technology.

Potential Biomedical Applications and Future Research

While the implications for environmental and industrial monitoring are clear, this sensor could also have a role in biomedical applications. Given that aluminum accumulation in the body is a concern linked to various diseases, the ability to measure aluminum concentrations in biological samples accurately could aid in diagnostics and research into the health effects of metal exposure.

The Nanjing Forestry University team has declared no competing financial interests or personal relationships that could influence the work reported in the paper, asserting the integrity and focus of their scientific endeavors. Future research may revolve around refining this sensor technology for broader applications and exploring other metallic ions that could be detected with similar sensitivity and selectivity.


The creation of an ultrasensitive cellulose-based fluorescent sensor for the detection of aluminum ions represents a significant stride in sensor technology. Built on the sustainable and flexible properties of cellulose, combined with a highly specific response to aluminum ions, this innovation from Nanjing Forestry University holds the potential to revolutionize how we monitor and interact with this prevalent and important metal in our lives.

The details of this pioneering study can be found in the official publication in ‘Carbohydrate Polymers’, under the DOI: 10.1016/j.carbpol.2023.121726, showcasing the fascinating possibilities that arise when cutting-edge science harnesses the power of natural materials.


1. Zhou, G., Zhang, Z., Meng, Z., Liang, Y., Qian, C., Wang, Z., & Yang, Y. (2024). An ultrasensitive cellulose-based fluorescent sensor for Al^3+. Carbohydrate Polymers, 328, Article 121726.

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3. V. C. Diculescu, A. K. Covington, A. G. Montenegro – Fluorescent sensors for detecting metals in biological systems – Comprehensive Analytical Chemistry

4. J. Huang, T. Liu, Q. Guo – Advanced research on the structural design of fluorescent sensors for heavy metal ion detection in water – ACS Sustainable Chemistry & Engineering

5. B. W. Smith, C. L. Arthur, J. A. Caruso – Development of sensitive fluorescent sensors for the detection of heavy metals in foods and environmental samples – Talanta


1. Ultrasensitive fluorescent sensor
2. Aluminum ion detection
3. Cellulose-based sensor
4. Environmental monitoring technology
5. Biodegradable polymer sensors