Machine learning in bioprocess development: from promise to practice

LM Helleckes, J Hemmerich, W Wiechert… - Trends in …, 2023 - cell.com
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …

Smart microalgae farming with internet-of-things for sustainable agriculture

HR Lim, KS Khoo, WY Chia, KW Chew, SH Ho… - Biotechnology …, 2022 - Elsevier
Agriculture farms such as crop, aquaculture and livestock have begun the implementation of
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …

Recent advances in machine learning applications in metabolic engineering

P Patra, BR Disha, P Kundu, M Das, A Ghosh - Biotechnology Advances, 2023 - Elsevier
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …

Robust spontaneous Raman flow cytometry for single‐cell metabolic phenome profiling via pDEP‐DLD‐RFC

X Wang, L Ren, Z Diao, Y He, J Zhang, M Liu… - Advanced …, 2023 - Wiley Online Library
A full‐spectrum spontaneous single‐cell Raman spectrum (fs‐SCRS) captures the metabolic
phenome for a given cellular state of the cell in a label‐free, landscape‐like manner. Herein …

Plant and algal lipidomes: Analysis, composition, and their societal significance

J Jouhet, E Alves, Y Boutté, S Darnet… - Progress in Lipid …, 2024 - Elsevier
Plants and algae play a crucial role in the earth's ecosystems. Through photosynthesis they
convert light energy into chemical energy, capture CO2 and produce oxygen and energy …

Smart systems in producing algae-based protein to improve functional food ingredients industries

YT Neo, WY Chia, SS Lim, CL Ngan… - Food Research …, 2023 - Elsevier
Production and extraction systems of algal protein and handling process of functional food
ingredients need to control several parameters such as temperature, pH, intensity, and …

Detection of Helicobacter pylori infection in human gastric fluid through surface-enhanced Raman spectroscopy coupled with machine learning algorithms

JW Tang, F Li, X Liu, JT Wang, XS Xiong, XY Lu… - Laboratory …, 2024 - Elsevier
Diagnostic methods for Helicobacter pylori infection include, but are not limited to, urea
breath test, serum antibody test, fecal antigen test, and rapid urease test. However, these …

[HTML][HTML] Multiple routes toward engineering efficient cyanobacterial photosynthetic biomanufacturing technologies

J Cui, H Sun, R Chen, J Sun, G Mo, G Luan, X Lu - Green Carbon, 2023 - Elsevier
Developing efficient CO 2 utilization technologies can alleviate the urgent pressure on
energy and the environment. Moreover, these technologies are crucial for achieving the goal …

Single-cell Raman-activated sorting and cultivation (scRACS-Culture) for assessing and mining in situ phosphate-solubilizing microbes from nature

X Jing, Y Gong, H Pan, Y Meng, Y Ren… - ISME …, 2022 - academic.oup.com
Due to the challenges in detecting in situ activity and cultivating the not-yet-cultured,
functional assessment and mining of living microbes from nature has typically followed a …

Single‐cell rapid identification, in situ viability and vitality profiling, and genome‐based source‐tracking for probiotics products

J Zhang, L Ren, L Zhang, Y Gong, T Xu, X Wang… - iMeta, 2023 - Wiley Online Library
Rapid expansion of the probiotics industry demands fast, sensitive, comprehensive, and low‐
cost strategies for quality assessment. Here, we introduce a culture‐free, one‐cell …