ArticleBiotechnology for biofuels2017
Label-free, simultaneous quantification of starch, protein and triacylglycerol in single microalgal cells.
Article in Biotechnology for biofuels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed, 76 citations in OpenAlex.
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- RamEx: an R package for high-throughput microbial ramanome analyses with accurate quality assessment.Microbiome · 2026Article
- Raman flow cytometry based single-cell species classification, viable-cell counting and vitality test for probiotic products.iMetaOmics · 2025Article
- Label-free isolation of lipid-rich Saccharomyces cerevisiae mutant by high-throughput flow-mode Raman-activated cell sorting and multi-omics analysis for uncovering the mechanism of enhanced lipid accumulation.Biotechnology for biofuels and bioproducts · 2025Article
- Label-free high-throughput live-cell sorting of genome-wide random mutagenesis libraries for metabolic traits by Raman flow cytometry.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Phylogeny-metabolism dual-directed single-cell genomics for dissecting and mining ecosystem function by FISH-scRACS-seq.Innovation (Cambridge (Mass.)) · 2025Article
- Molecular mechanism and application of emerging technologies in study of bacterial persisters.BMC microbiology · 2024Review
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- Culture-free identification of fast-growing cyanobacteria cells by Raman-activated gravity-driven encapsulation and sequencing.Synthetic and systems biotechnology · 2023Article
- Robust Spontaneous Raman Flow Cytometry for Single-Cell Metabolic Phenome Profiling via pDEP-DLD-RFC.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- An attempt to simultaneously quantify the polysaccharide, total lipid, protein and pigment in single Cyclotella cryptica cell by Raman spectroscopy.Biotechnology for biofuels and bioproducts · 2023Article
- Structured population balances to support microalgae-based processes: Review of the state-of-art and perspectives analysis.Computational and structural biotechnology journal · 2023Review
- Exploring a blue-light-sensing transcription factor to double the peak productivity of oil in Nannochloropsis oceanica.Nature communications · 2022Article
- Single-cell Raman spectroscopy identifiesFrontiers in microbiology · 2022Article
- Article
- One-Cell Metabolic Phenotyping and Sequencing of Soil Microbiome by Raman-Activated Gravity-Driven Encapsulation (RAGE).mSystems · 2021Article
- Positive dielectrophoresis-based Raman-activated droplet sorting for culture-free and label-free screening of enzyme function in vivo.Science advances · 2020Article
- Assessment of recombinant protein production in E. coli with Time-Gated Surface Enhanced Raman Spectroscopy (TG-SERS).Scientific reports · 2020Article
- Data mining in Raman imaging in a cellular biological system.Computational and structural biotechnology journal · 2020Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent approaches for quantification of major energy-storage forms in microalgae, including starch, protein and lipids, generally require cell cultivation to collect biomass followed by tedious and time-consuming analytical procedures. Thus, label-free, non-destructive and simultaneous quantification of such macromolecules at single-cell resolution is highly desirable in microalgal feedstock development and bioprocess control.
resultsHere, we established a method based on single-cell Raman spectra (SCRS) that simultaneously quantifies the contents of starch, protein, triacylglycerol (TAG) and lipid unsaturation degree in individual
conclusionsWhen sampled at proper depth, SCRS can serve as a quantitative and generally applicable tool for characterization and screening of strains and bioprocesses based on the profile of energy-storage macromolecules and their among-cell heterogeneity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.