» Articles » PMID: 37338580

Development of Two Devices for High-throughput Screening of Ethanol-producing Microorganisms by Real-time CO Production Monitoring

Overview
Date 2023 Jun 20
PMID 37338580
Authors
Affiliations
Soon will be listed here.
Abstract

Bioethanol's importance as a renewable energy carrier led to the development of new devices for the high-throughput screening (HTS) of ethanol-producing microorganisms, monitoring ethanol production, and process optimization. This study developed two devices based on measuring CO evolution (an equimolar byproduct of microbial ethanol fermentation) to allow for a fast and robust HTS of ethanol-producing microorganisms for industrial purposes. First, a pH-based system for identifying ethanol producers (Ethanol-HTS) was established in a 96-well plate format where CO emission is captured by a 3D-printed silicone lid and transferred from the fermentation well to a reagent containing bromothymol blue as a pH indicator. Second, a self-made CO flow meter (CFM) was developed as a lab-scale tool for real-time quantification of ethanol production. This CFM contains four chambers to simultaneously apply different fermentation treatments while LCD and serial ports allow fast and easy data transfer. Applying ethanol-HTS with various yeast concentrations and yeast strains displayed different colors, from dark blue to dark and light green, based on the amount of carbonic acid formed. The results of the CFM device revealed a fermentation profile. The curve of CO production flow among six replications showed the same pattern in all batches. The comparison of final ethanol concentrations calculated based on CO flow by the CFM device with the GC analysis showed 3% difference which is not significant. Data validation of both devices demonstrated their applicability for screening novel bioethanol-producer strains, determining carbohydrate fermentation profiles, and monitoring ethanol production in real time.

References
1.
Stambuk B, Batista A, de Araujo P . Kinetics of active sucrose transport in Saccharomyces cerevisiae. J Biosci Bioeng. 2005; 89(2):212-4. DOI: 10.1016/s1389-1723(00)88742-3. View

2.
Tikka C, Osuru H, Atluri N, Raghavulu P, Yellapu N, Mannur I . Isolation and characterization of ethanol tolerant yeast strains. Bioinformation. 2013; 9(8):421-5. PMC: 3670125. DOI: 10.6026/97320630009421. View

3.
Laluce C, Tognolli J, de Oliveira K, Souza C, Morais M . Optimization of temperature, sugar concentration, and inoculum size to maximize ethanol production without significant decrease in yeast cell viability. Appl Microbiol Biotechnol. 2009; 83(4):627-37. DOI: 10.1007/s00253-009-1885-z. View

4.
Wang H, Ji B, Ren H, Meng C . The relationship between lysine 4 on histone H3 methylation levels of alcohol tolerance genes and changes of ethanol tolerance in Saccharomyces cerevisiae. Microb Biotechnol. 2014; 7(4):307-14. PMC: 4241724. DOI: 10.1111/1751-7915.12121. View

5.
Caspeta L, Coronel J, Montes de Oca A, Abarca E, Gonzalez L, Martinez A . Engineering high-gravity fermentations for ethanol production at elevated temperature with Saccharomyces cerevisiae. Biotechnol Bioeng. 2019; 116(10):2587-2597. DOI: 10.1002/bit.27103. View