Environmental & Ecology

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About Environmental & Ecology

Omics sciences such as metabolomics, lipidomics, and proteomics are transforming environmental research and ecology by providing powerful tools to assess ecosystem health, monitor pollution, and understand biodiversity at a molecular level. These disciplines are providing cutting-edge insights into ecosystem health, pollution monitoring, and biodiversity conservation, helping scientists develop more effective strategies for protecting the planet and mitigating environmental threats.

Lipidomics

Bioindicators of environmental changes:
Lipid-based biomarkers for tracking environmental shifts due to pollution, climate change, or habitat destruction.

Microbial lipidomics for ecosystem analysis:
Study of microbial lipid profiles to understand nutrient cycling and ecosystem functioning.

Effects of pollution on lipid metabolism:
Investigation of how heavy metals, pesticides, and other pollutants alter lipid metabolism in plants, animals, and microbes.

Adaptation mechanisms in extreme environments:
Analysis of lipid adaptations in organisms living in extreme temperatures, salinity, or acidity conditions.

Sustainable biofuel development:
Identification of lipid-rich microorganisms for the production of biofuels as renewable energy sources.

Metabolomics

Environmental stress and pollution monitoring:
Identification of metabolic biomarkers to assess the impact of pollutants, toxins, and climate change on ecosystems.

Soil and water quality assessment:
Analysis of microbial and chemical metabolites to evaluate environmental contamination and ecosystem health.

Plant-environment interactions:
Understanding how plants respond to environmental stressors, including drought, salinity, and pollutants.

Microbial ecology and biodegradation:
Identification of metabolic pathways involved in the breakdown of pollutants and the cycling of nutrients in ecosystems.

Ecosystem health and conservation:
Metabolic profiling of indicator species to monitor biodiversity loss and habitat changes.

Proteomics

Biomonitoring of environmental stress:
Detection of protein biomarkers that indicate stress responses in plants, animals, and microorganisms.

Understanding microbial diversity and function:
Proteomic profiling of microbial communities to study their role in carbon and nitrogen cycling.

Climate change adaptation mechanisms:
Investigation of protein expression changes in organisms adapting to rising temperatures and changing environments.

Marine and freshwater ecosystem studies:
Proteomic analysis of aquatic organisms to assess the health of oceans, lakes, and rivers.

Conservation and biodiversity research:
Identification of species-specific proteins to improve conservation strategies and track endangered species.

SERVICES

Our Environmental & Ecology Services

At oloBion, we provide cutting-edge omics services designed to empower researchers in the Environmental & Ecology industry. With our state-of-the-art technology and the expertise of our team, we help you unlock the full potential of your analytes, driving discovery, innovation, and impactful solutions. Our portfolio includes both Untargeted and Targeted OMICS services, all tailored to meet the specific needs of your research.

Lipidomics Compound Screening

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

Fatty Acids Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of short chain fatty acids by LC-MS/MS. The indentification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS + Oxylipins

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS, including oxylipins. The Identification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

Panel: Fatty Acids LC-MS

Targeted lipidomics analysis for the quantification of total fatty acids (FW) (g/100g)

Custom LC-MS

Technique: LC-MS/MS
Target Lipidomics analysis for the identification of specific lipid(s) according to customer requirements

Metabolomics Compound Screening

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile LC-MS

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles and metabolites by GC-MS/MS.The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Volatiles GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles by GC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

MetaMetabolomics LC-MS

Technique: LC-MS/MS
Metabolomics analysis for the identification of active microorganisms through the study of secondary metabolism. The identification includes super-class, class, and name of the metabolite, InChIKey, and name of the microorganism. For fungi, it includes their guild and trophic mode

Central Carbon Metabolism LC-MS

Technique: LC-MS/MS
Untargeted LC-MS/MS metabolomics analysis for the identification of Central Carbon metabolites in plants, including organic acids and aminoacids. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Secondary Metabolism LC-MS

Technique: LC-MS/MS
Untargeted LC-MS/MS metabolomics analysis for the identification of secondary metabolites in plants. The identification includes a list with superclass, class, metabolite name, and InChIKey.

Panel: NAD LC-MS

Technique: LC-MS/MS
Metabolomics analysis for the identification and quantification of NAD-related metabolites: 1MNA 1-methylnicotinamide, 2PY N-methyl-2-pyridone-5-carboxamide, 3HAA 3-hydroxyanthranilic acid, 3HK 3-hydroxykynurenine, 4PA 4-pyridoxic acid/4PY N-methyl-4-pyridone-5-carboxamide, AA Anthranilic acid, CR Creatinine, KA kynurenic acid, KYN L-kynurenine, NA Nicotinic acid, NAAD Nicotinic acid adenine dinucleotide, NAD+Oxidized nicotinamide adenine dinucleotide, NADH Reduced nicotinamide adenine dinucleotide, NADP+ Oxidized nicotinamide adenine dinucleotide phosphate, NAM Nicotinamide, NAMN Nicotinic acid mononucleotide, NAMPT Nicotinamide phosphoribosyltransferase, NAR Nicotinic acid riboside, NR Nicotinamide riboside, PL Pyridoxal, PLP Pyridoxal 5′ -phosphate, PM Pyridoxamine, PN Pyridoxine, QA Quinolinic acid, TRP Tryptophan, XA Xanthurenic acid

Panel: Aminoacids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of amino acids: L-Alanine, L-Arginine, L-Aspartic acid, L-Cystine, L-Glutamic acid, Glycine, L-Histidine, L-Isoleucine, L-Leucine, L-Lysine, L-Methionine, L-Phenylalanine, L-Proline, L-Serine, L-Threonine, L-Tyrosine, L-Valine, L-Tryptophan

Panel: Organic Acids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of organic acids: Acetic acid, Adipic acid, L-Ascorbic acid, Benzoic acid, Butyric acid, Citric acid, Isobutyric acid, Formic acid, Fumaric acid, L-(+)-Lactic acid, DL-Isocitric acid trisodium salt hydrate, Maleic acid, Malonic acid, D-(+)-Malic acid, Oxalic acid, Phytic acid, Propionic acid, (-)Quinic acid, Succinic acid, Shikimic acid, D-(−)-Tartaric acid

Custom LC-MS

Technique: LC-MS/MS
Target Metabolomics analysis for the identification of specific metabolites(s) according to customer requirements

MetaProteomics LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins expressed by microorganisms

Proteomics Compound Screening

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins. The identification includes the family and name of the protein.

Proteomics Profile LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins. The identification includes the family and name of the protein.

Custom LC-MS

Technique: LC-MS/MS
Target Proteomics analysis for the identification of specific protein(s) according to customer requirements

CN LECO CN828

Technique: LECO CN828
Carbono_Carbon (C), Nitrógeno_Nitrogen (N) (%)

Proteins and Organic Matter LECO CN828

Technique: LECO CN828
Proteins (DW)(%), Proteins (FW)(%), Organic Matter (DW)(%), Organic Matter (FW)(%)

Panel: Soils MP-AES

Technique: MP-AES
Method: SOP02 Ed.3
Quantification (mEq/100g) of Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na)

Phosphorus Olsen

Technique: Olsen
Elemental analysis of soluble phosphorus (P) in soil by Olsen method (mg/kg)

Panel: Fertilizers MP-AES

Technique: MP-AES
Method: SOP03 Ed.2
Quantification (mg/kg) of Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Boron(B), Copper (Cu), Iron (Fe), Manganese (Mn), Phosphorus (P), Zinc (Zn)
Oxididative forms (%) of Phosphorus pentoxide (P₂O₅), Potassium oxide (K₂O), Calcium oxide (CaO), Magnesium oxide (MgO), Sodium oxide (Na₂O)

Panel: Leaves MP-AES

Technique: MP-AES
Method: SOP01 Ed.3
Quantification (mg/kg) of Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Boron(B), Copper (Cu), Iron (Fe), Manganese (Mn), Phosphorus (P), Zinc (Zn)

Custom MP-AES

Technique: MP-AES
Quantification of macro and/or micro elements based on the client’s request

Caroteomics Profile LC-DAD

Preparation of a five-point calibration curve to ensure accurate quantification and robust analytical performance for target analytes.

Enhance your analysis with:

Standard oloMAP

Statistical analysis and visualization of omics data

Advanced oloMAP

Integrate omics data with clinical, nutritional, or environmental datasets through the Correlation Module

Biological Interpretation Report

Expert interpretation to connect omics data with biological pathways and outcomes

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From Samples to Insights

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Standard Delivery Time:
6 weeks
Fast-track option available

Minimum Sample Amount:
Consult our experts for guidance
on sample requirements

Discount:
Associated with the number of
samples and multi-omics analysis

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Contact us today to discuss your project or schedule a consultation. Together, we’ll advance innovation through omics!