.jpg)
Scientists are exploring new ways to recover useful compounds from plants while making the extraction process faster, more efficient, and potentially more environmentally friendly. One recent study combined several modern technologies to investigate extracting phytochemicals from Cassia absus L., commonly known as Chaksu.
The researchers combined ultrasound-assisted extraction with a natural deep eutectic solvent and used artificial intelligence and mathematical optimization to identify the most suitable processing conditions. The study, published in Discover Green Chemistry in August 2026, brings together response surface methodology, artificial neural networks, and the TOPSIS decision-making technique.
This combination matters because extracting useful chemicals from plants is not always simple. Traditional methods can require large amounts of solvents, considerable energy, and long processing times. By using ultrasound, alternative solvents, and computer-based optimization, scientists are looking for ways to improve the entire process.
Why Cassia absus Is Important
Cassia absus belongs to the Fabaceae family and is found in various tropical and subtropical regions of Asia. The plant has a history of traditional use, which has encouraged researchers to investigate its chemical properties and potential applications.
Its seeds contain various phytochemicals, including chaksine and isochaksine. These naturally occurring chemicals make the seeds an interesting material for extraction studies.
However, identifying valuable compounds inside a plant is only the beginning. Scientists also need an effective way to separate those compounds from the plant material.
Plant cells can hold chemical compounds within complex structures, making extraction difficult. Conventional techniques may involve soaking plant material for extended periods or using methods that consume significant amounts of solvent and energy.
This is one reason researchers are increasingly interested in advanced extraction technologies.
The Problem With Conventional Extraction
Researchers widely use plant extraction in studies of phenolics, flavonoids, antioxidants, and other natural compounds. Researchers study these substances for potential applications in food science, cosmetics, nutraceuticals, and pharmaceutical research.
Traditional techniques can be effective, but they are not always the most efficient options. Long extraction times, high temperatures, large quantities of organic solvents, and energy use can increase process costs and environmental impact.
Scientists have therefore developed methods that can achieve similar or better results in less time and with fewer resources.
Ultrasound-assisted extraction is one such method.
Ultrasound can improve the movement of compounds from plant tissues into a solvent. It may also reduce the amount of time needed for extraction. This makes it attractive for researchers developing faster, more efficient ways to obtain plant bioactive compounds.
The Cassia absus study takes this idea one step further by combining ultrasound with a natural deep eutectic solvent.
How Ultrasound Improves Extraction
Ultrasound consists of sound waves above the normal range of human hearing. When these waves pass through a liquid, they can create a physical phenomenon known as acoustic cavitation.
During cavitation, very small bubbles form, grow, and eventually collapse. These microscopic events can generate physical forces within the liquid.
When plant material is exposed to these forces, cell structure can become disrupted. This can make it easier for the solvent to reach compounds trapped inside plant tissues.
Ultrasound can also improve mass transfer. In simple terms, it can help move chemical compounds from the plant material into the surrounding liquid more efficiently.
However, more ultrasound is not always better. Excessive intensity or treatment time can increase temperature and may even affect sensitive compounds. Therefore, finding the right combination of ultrasound intensity and treatment time is very important.
This is where optimization becomes especially useful.
The Role of Natural Deep Eutectic Solvents
The researchers also used a natural deep eutectic solvent, often called a NaDES.
Deep eutectic solvents are mixtures created by combining two or more components that interact in a way that produces a solvent with useful properties. Natural deep eutectic solvents are particularly interesting in plant extraction because their components can be derived from naturally occurring substances.
For this study, the researchers used choline chloride and glycerol. They prepared the mixture at a 1:3 molar ratio and then used it with water during the extraction process.
One advantage of these solvents is that their properties can be adjusted depending on the extraction purpose. They can also have relatively low volatility and other characteristics that make them attractive alternatives to some conventional organic solvents.
However, it is important not to assume that every deep eutectic solvent is automatically environmentally friendly. A process's overall sustainability depends on several factors, including solvent use, production, energy consumption, recovery and recycling, and eventual disposal.
Preparing the Cassia Seeds
Before extraction, the researchers carefully prepared the Cassia absus seeds.
The researchers obtained the seeds from a local market in Lahore, Pakistan. They washed, dried, and ground them into a powder. They passed the powder through an 80-mesh sieve to ensure a relatively uniform particle size.
The researchers also defatted the material using n-hexane for three days. Afterward, they dried the material at 40°C before extraction.
Seed preparation is an important part of extraction experiments. Particle size can influence how much surface area is available for contact with the solvent. A finer and more uniform powder can sometimes improve the movement of compounds into the extraction liquid.
Once the seed material was ready, the researchers tested different ultrasound conditions.
Three Main Factors Were Tested
The study focused on three major variables:
· Ultrasound amplitude
· Sonication time
· Solvent-to-feed ratio
Rather than changing these factors randomly, the researchers used a Box-Behnken experimental design. This statistical design lets scientists investigate several variables systematically while reducing the number of experiments required.
The researchers then analyzed the experimental results using conventional response surface methodology and artificial neural networks.
This allowed the researchers to compare different mathematical approaches for predicting extraction-process behavior.
How Artificial Intelligence Was Used
Artificial intelligence is becoming increasingly useful in scientific research, especially when experiments involve multiple interacting variables.
In this study, an artificial neural network, or ANN, was used to understand the relationship between extraction conditions and the properties of the resulting extract.
The neural network received three main inputs: ultrasound amplitude, extraction time, and solvent-to-feed ratio. The experimental data were divided into training, validation, and testing groups.
This approach is advantageous because extraction processes are often complicated. A small change in one variable can influence another, and improving one measurement may sometimes reduce another.
Artificial neural networks can identify complex patterns in experimental data. They can therefore predict results under conditions that have not all been physically tested.
According to the study, the ANN models generally performed better than the response surface methodology models based on the reported statistical measurements.
Four Properties Were Evaluated
The researchers did not judge the extraction process based on a single measurement. Instead, they examined four different responses.
The first was total phenolic content (TPC). This estimates the amount of phenolic material in the extract.
The second was total flavonoid content (TFC). Flavonoids are a large group of naturally occurring plant compounds that are frequently investigated in natural-product research.
The third measurement was DPPH radical-scavenging activity. The DPPH assay is commonly used in laboratory studies to estimate antioxidant-related activity.
The fourth measurement was iron-chelating activity, which assesses the extract's ability to interact with iron ions.
Looking at all four measurements gave the researchers a broader understanding of how the extraction conditions affected the resulting extract.
Finding the Best Combination
A major challenge in optimization is that the best condition for one result may not necessarily be the best condition for another.
For example, one set of extraction conditions might produce a high phenolic content but a lower flavonoid content. Another combination could produce better antioxidant activity but perform less strongly in another test.
To deal with this problem, the researchers used TOPSIS.
TOPSIS stands for Technique for Order Preference by Similarity to Ideal Solution. It is a multi-criteria decision-making method that helps researchers select an option that provides a good overall balance when several different objectives must be considered.
The study identified 60% ultrasound amplitude, six minutes of sonication, and a solvent-to-feed ratio of 20 mL/g as the preferred combination.
Under the predicted optimized conditions, the researchers reported approximately:
· 43.88 mg GAE/g total phenolic content
· 17.60 mg QE/g total flavonoid content
· 43.70% DPPH radical-scavenging activity
· 82.33% iron-chelating activity
These results are laboratory measurements of the plant extract. They should not be interpreted as proof that Cassia absus can treat or prevent diseases in humans.
Why the Short Extraction Time Matters
One interesting part of the optimized process is the relatively short sonication period.
The researchers identified six minutes as the optimal treatment time within their experimental conditions.
This highlights one potential benefit of ultrasound-assisted extraction. By disrupting plant tissues and improving mass transfer, ultrasound may allow compounds to move into the solvent more quickly than some traditional extraction methods.
However, six minutes should not be considered a universal extraction time.
Different plants contain different compounds and have different physical structures. Solvent type, particle size, ultrasound equipment, temperature, and other conditions can all change the outcome.
The key takeaway is that scientists can use systematic optimization to determine suitable conditions rather than relying only on trial and error.
Is It Actually a Green Method?
The study has several features associated with greener extraction, but the term "green" should be used carefully.
Using ultrasound may reduce extraction time and potentially lower energy and solvent requirements. Natural deep eutectic solvents can also offer certain advantages over conventional volatile organic solvents.
However, sustainability needs to be considered across the entire process.
Researchers would need to examine how much solvent is required, how the solvent is prepared, whether it can be recovered and reused, how much electricity the ultrasound system consumes, and how waste is handled.
Deep eutectic solvents also have limitations. Some can be relatively viscous, which can slow mass transfer. Combining them with ultrasound may help overcome some of these difficulties, but additional research is still needed.
Therefore, the method is a promising greener approach, but it is too early to call it a completely sustainable solution.
What the Study Does Not Prove
Research involving medicinal plants is sometimes misunderstood. Laboratory antioxidant activity is often presented as though it automatically means a plant extract provides health benefits.
The researchers investigated an extraction process and measured the chemical properties of the resulting extract. A positive DPPH result, for example, does not mean that the extract will have the same effect inside the human body.
Further research would be necessary to identify individual compounds, examine toxicity, evaluate stability, study biological effects, and determine whether any potential applications are safe and effective.
Therefore, the findings should be viewed primarily as evidence that the extraction process can be optimized under controlled laboratory conditions.
What Could Come Next?
Future studies could focus on identifying exactly which compounds are recovered under the optimized conditions.
Researchers could use advanced analytical techniques to determine the chemical composition of the extracts and discover whether the process selectively extracts particular phenolic compounds, flavonoids, or other phytochemicals.
Another important area would be solvent recovery and reuse.
This becomes especially important during industrial scale-up. A process that appears efficient in a laboratory may have a very different environmental footprint when it is operated on a much larger scale.
Industrial ultrasound equipment can also behave differently from laboratory devices. Factors such as energy distribution, mixing, temperature control, and reactor design may affect extraction.
For this reason, additional pilot-scale and industrial studies would be necessary before the method could be widely adopted.
The Future of AI-Assisted Green Extraction
Artificial intelligence could play an even larger role in future extraction research.
Instead of using AI only after experiments are complete, researchers may eventually combine machine-learning models with sensors and automated extraction systems.
Such systems could monitor conditions such as temperature, extraction time, and energy input in real time. The system could then adjust operating conditions automatically to maintain the desired results.
This approach could potentially reduce wasted materials and energy while improving consistency.
The concept could also be applied to many other plant materials, including herbs, leaves, roots, fruit peels, agricultural waste, and other natural resources.
A Promising Beginning
Research on Cassia absus seeds shows how several scientific technologies can be combined to improve natural-product extraction.
Ultrasound can help intensify the extraction process, while a natural deep eutectic solvent provides an alternative medium for recovering plant compounds. Statistical modelling helps researchers interpret the results, artificial intelligence adds predictive power, and TOPSIS helps select a balanced solution when multiple outcomes must be optimized at once.
The reported optimal conditions of 60% ultrasound amplitude, six minutes of treatment, and a 20 mL/g solvent-to-feed ratio produced a strong overall balance among the measurements investigated in the study.
More importantly, the research reflects a broader shift in how scientists approach plant extraction.
The question is no longer simply what useful compounds can be found inside a plant. Researchers are also asking how to recover those compounds faster, with less waste, lower energy use, and more environmentally responsible solvents.
For Cassia absus, there is still a long way to go. More studies on chemical identification, safety, solvent recovery, scale-up, and practical applications will be needed.
Nevertheless, combining artificial intelligence, ultrasound technology, and greener solvents offers an interesting direction for future research. It shows how traditional knowledge of useful plants can be combined with modern technology to create more efficient scientific processes.
The technology is not yet a final solution, but it could be an important step toward making plant-based extraction smarter, faster, and more sustainable.....LEARN MORE
Ultrasonic Institute ™ is the professional department of Copenhagen Culinary Center, also known as the Ultrasonic
Culinary Academy ™. Ultrasonic Chef ™ is the official worldwide trademark and brand name of all our masterclasses,
certifications and ultrasonic cooking equipment offered in cooperation with the International Ultrasonic Culinary
Association in Denmark
CoCuCe.dk ™ is the simplified consumer education course offered by Copenhagen Culinary Center about fermentation,
ultrasound cooking and the importance of gut health in a Psychobiotic diet - Rewiring Mood Through Food ™
Copenhagen Culinary Center is the first in the world to offer standalone masterclasses in Ultrasound-Assisted
Extraction UAE and Ultrasound-Assisted Fermentation UAF to both professional chefs and private consumers. More
than 70 internet domains are registered worldwide to protect our concept and trademarks.
Copyright 2026 © All rights reserved by Copenhagen Culinary Center
Comments
Post a Comment