KAUST researchers have developed a green synthetic biology approach using engineered algae to replicate the complex fragrances of agarwood, also known as oudh. They catalogued the chemical diversity of sesquiterpenes (STPs) in 58 agarwood samples and reproduced some of the chemical complexity of agarwood STPs in algae using synthetic biology. The team used the green alga Chlamydomonas reinhardtii to produce nine distinct STP chemical products widely found in agarwood, offering a sustainable alternative to harvesting endangered trees. Why it matters: This research provides a sustainable route for producing sought-after fragrances, reducing pressure on endangered agarwood tree populations and promoting green chemistry in the region.
KAUST researchers have developed a new synthetic biology process using metabolically engineered algae to produce fragrant sesquiterpenoids, the core compounds in agarwood and other perfumes. The process, developed by the Lauersen and Szekely groups, achieved yields 25 times higher than previous methods and allows for the synthesis of 103 types of fragrant sesquiterpenoids. It also incorporates an energy-efficient nanofiltration step and operates at room temperature with minimal waste. Why it matters: This sustainable bioprocess offers a green alternative to environmentally damaging harvesting of natural resources for the $44 billion fragrance industry, with potential applications in drug development.
KAUST Ph.D. students Sandra Medina and Luisa Javier created WAYAKIT, a compact, organic, and portable multi-cleaner and odor remover for travelers. Their biotechnology-based startup, WAYAK Group, aims to transform the laundry industry with affordable, low-resource solutions. WAYAKIT uses biotechnology to degrade odor-causing molecules and solubilize stains. Why it matters: This showcases KAUST's entrepreneurial environment and the potential for scientific research to address practical, everyday challenges with sustainable solutions.
KAUST and the Saudi Food and Drug Authority (SFDA) have partnered to develop a new method using nuclear magnetic resonance (NMR) to detect adulterants in olive oil. The method aims to identify and quantify vegetable oils mixed with olive oil, addressing concerns about the mislabeling of olive oil in the Saudi market. KAUST's comprehensive suite of NMR machines was critical for the project. Why it matters: This collaboration enhances food safety and quality control in Saudi Arabia, a major olive oil importer, and helps to ensure consumers receive authentic, high-quality products.
KAUST and Saudi Aramco collaborated to develop a laser-based sensor for detecting trace amounts of gas leaks in petrochemical plants. The sensor uses machine learning to identify specific gases, differentiating it from previous sensors that only detect large leaks. The technology can differentiate between closely related industrial gases like benzene, toluene, ethyl benzene and xylene (BTEX). Why it matters: This innovation enables proactive monitoring and rapid pinpointing of leaks, enhancing safety, environmental protection, and operational efficiency in the petrochemical industry.