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Association·arcadia

Raman spectroscopy classifies biological samples

Claim that Raman spectroscopy enables rapid and inexpensive exploration, stratification, and classification of diverse biological samples including chilis, beer, and algae, and links spectra with quantitative traits such as ABV and Scoville heat.

Confidence
100%
active

Evidence Quote

“Raman spectroscopy can rapidly distinguish and classify chilis, beer, and algae and link spectra to quantitative traits”

Relationship

Raman spectroscopy technique enables Sample stratification and trait linkage

Arguments

Raman spectroscopy techniquesubject
Sample stratification and trait linkageobject

Connections (7)

Raman spectroscopy enables high-dimensional classification reasoningInferenceChain
Microchamber components enable microscopyAssociation
Reasoning on OpenRAMAN hardware choices and beer sample diversityInferenceChain
Reasoning from sample preparation to trait-spectral correlationInferenceChain
Reproducibility and dynamic range support validity of spectral comparisonsInferenceChain
Reasoning chain: Spectral clustering and trait predictionInferenceChain
Reasoning: From Raman spectral measurements to biological trait prediction and sample classificationInferenceChain

Evidence

“Evidence line summarizing key metagenomics assembly, alignment, and analysis tools cited in the text (MEGAHIT, Bandage, spacegraphcats, Bowtie 2, PALADIN).”

Metagenomics assembly and analysis tools summary

“Citation for "Harnessing genotype-phenotype nonlinearity to accelerate biological prediction."”

Avasthi P et al. (2024). Harnessing genotype-phenotype nonlinearity to accelerate biological prediction doi:10.57844/ARCADIA-5953-995F ↗

“Citation for "Raman Techniques: Fundamentals and Frontiers."”

Jones RR et al. (2019). Raman Techniques: Fundamentals and Frontiers doi:10.1186/s11671-019-3039-2 ↗

“Citation for "Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns."”

Kamei KF et al. (2023). Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns doi:10.1101/2023.05.09.539921 ↗

“Citation for "Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli."”

Germond A et al. (2018). Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli doi:10.1038/s42003-018-0093-8 ↗

“Citation for "Raman spectra reflect complex phylogenetic relationships."”

Avasthi P et al. (2024). Raman spectra reflect complex phylogenetic relationships doi:10.57844/ARCADIA-X8WK-SF94 ↗

“Citation for "Phenotypic differences between interfertile Chlamydomonas species."”

Avasthi P et al. (2024). Phenotypic differences between interfertile Chlamydomonas species doi:10.57844/ARCADIA-35F0-3E16 ↗