Whole cell microbial biosensors are offering an alternative means for rapid, on-site heavy metal detection. Based in microorganisms, biosensing constructs are designed and constructed to produce both qualitative and quantitative outputs in response to heavy metal ions. Previous microbial biosensors designs are focused on single-input constructs; however, development of multiplexed systems is resulting in more flexible designs. The movement of microbial biosensors from laboratory based designs toward on-site, functioning heavy metal detectors has been hindered by the toxic nature of heavy metals, along with the lack of specificity of heavy metals promoter elements. Applying a synthetic biology approach with alternative microbial chassis may increase the robustness of microbial biosensors and mitigate these issues. Before full applications are achieved, further consideration has to be made regarding the risk and regulations of whole cell microbial biosensor use in the environment. To this end, a standard framework for future whole cell microbial biosensor design and use is proposed.
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http://dx.doi.org/10.1021/sb500286r | DOI Listing |
Heliyon
January 2025
Department of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
The rapid evolution of nanotechnology has catalyzed significant advancements in the design and application of nano-sensors, particularly within the food industry, where ensuring safety and quality is of paramount concern. This review explores the multifaceted role of nano-sensors constructed from diverse nanomaterials in detecting foodborne pathogens and toxins, offering a comprehensive analysis of their operational principles, sensitivity, and specificity. Nano-sensors leverage unique physical and chemical properties at the nanoscale to enhance the detection of microbial contamination, actively contributing to food safety protocols.
View Article and Find Full Text PDFMicrob Biotechnol
January 2025
Department of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Using synthetic biology techniques, bacteria have been engineered to serve as microrobots for diagnosing diseases and delivering treatments. These engineered bacteria can be used individually or in combination as microbial consortia. The components within these consortia complement each other, enhancing diagnostic accuracy and providing synergistic effects that improve treatment efficacy.
View Article and Find Full Text PDFACS Synth Biol
January 2025
Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing 210009, P.R. China.
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View Article and Find Full Text PDFWorld J Microbiol Biotechnol
January 2025
School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China.
Organic acids constitute a vital category of chemical raw materials. They have extensive applications in industries such as polymers, food, and pharmaceuticals. Currently, industrial production predominantly relies on microbial fermentation.
View Article and Find Full Text PDFWorld J Microbiol Biotechnol
January 2025
Institute of Chemical Technology - Vietnam Academy of Science and Technology, 1A TL29 Street, Thanh Loc Ward, District 12, Ho Chi Minh City, Vietnam.
This study demonstrated a novel approach to accurately estimate 5-day biochemical oxygen demand (BOD) in textile wastewater using a microbial consortium from food processing wastewater fixed on coconut fibers. Although glucose-glutamic acid (GGA) has been widely known as the most preferred substrates for microbial respiration, its calibration surprisingly resulted in an overestimation of BOD in textile wastewater due to its lower utilization rate compared to that of textile wastewater. After being adapted with a new nutrient environment composed of GGA and textile wastewater, the adapted packed-bed bioreactors (PBBRs) was capable of accurate estimation of BOD in textile wastewater using GGA standard solution.
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