Cosmetics & Dermatology

about

About Cosmetics & Dermatology

Omics disciplines such as metabolomics, lipidomics, and proteomics offer a wide range of applications in the cosmetics industry, driving innovation and personalization in product development. These omics applications are revolutionizing the cosmetics industry, enabling the development of more effective, safe, and personalized products tailored to consumers’ specific needs.

Lipidomics

Lipid biomarkers for skin health:
Identifying lipids as indicators of hydration, elasticity, and aging.

Skin barrier studies:
Analyzing skin lipids to understand and improve the skin’s barrier function.

Advanced formulation design:
Developing cosmetic products aimed at restoring lipid balance in dry, oily, or aging skin.

Research on skin disorders:
Studying the role of lipids in conditions such as dermatitis, psoriasis, or acne to create targeted solutions.

Metabolomics

Biomarker discovery:
Detecting metabolites that indicate skin damage, oxidative stress, or inflammation to enhance product efficacy.

Skin analysis:
Identify metabolite signatures associated with skin aging, hydration status, and other skin phenotypes to support product development.

Efficacy assessment:
Analyzing metabolic changes induced by cosmetics to measure their impact on skin health.

Personalized product development:
Designing products tailored to individual metabolic profiles for optimal results and minimal adverse reactions.

Proteomics

Skin aging analysis:
Identify protein signatures associated with skin aging to support product development and performance evaluation.

Oxidative damage assessment:
Detecting protein markers of oxidative stress in the skin to formulate antioxidant products.

Design of topical actives:
Develop and evaluate topical active candidates (e.g., peptides, recombinant proteins) to assess effects on skin barrier and hydration status in controlled studies.

Skin regeneration studies:
Understanding cellular repair mechanisms and promoting the production of key proteins like collagen and elastin.

SERVICES

Our Cosmetics & Dermatology Services

At oloBion, we provide cutting-edge omics services designed to empower researchers in the Cosmetics & Dermatology 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 metabolomics, lipidomics and proteomics services, as well as ADME-DMPK assays, 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.

Pharmaco-Lipidomics

Pharmacolipidomics analysis to identify key lipid classes and determine lipid biomarkers related to bioavailability, metabolism, and compound response, supporting ADME and mechanistic evaluation in preclinical studies.

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.

Pharmaco-Metabolomics

Pharmacometabolomics studies to identify key metabolic pathways and determine metabolomic biomarkers associated with compound exposure and metabolic response, supporting ADME and mechanistic insight in preclinical research.

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

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.

Pharmaco-Proteomics

Pharmacoproteomics analysis to identify key proteins and determine proteomic biomarkers related to drug metabolism, transport, and resistance mechanisms, supporting mechanistic insight in preclinical research.

Custom LC-MS

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

Pharmaco-Proteomics

Pharmacoproteomics analysis to identify key proteins and determine proteomic biomarkers related to drug metabolism, transport, and resistance mechanisms, supporting mechanistic insight in preclinical research.

Pharmaco-Lipidomics

Pharmacolipidomics analysis to identify key lipid classes and determine lipid biomarkers related to bioavailability, metabolism, and compound response, supporting ADME and mechanistic evaluation in preclinical studies.

Pharmaco-Metabolomics

Pharmacometabolomics studies to identify key metabolic pathways and determine metabolomic biomarkers associated with compound exposure and metabolic response, supporting ADME and mechanistic insight in preclinical research.

Enhance your analysis with:

Standard oloMAP

Advanced Statistics

Transform your omics data into actionable insights with oloMAP Portal, our interactive platform for advanced statistical analysis and visualization.

More info

Advanced oloMAP

Multiomics Integration

Combine multiple omics datasets to uncover relationships between biological layers, gain a holistic view of underlying processes and identify potential biomarkers.

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Biological Interpretation Report​

Biological Interpretation Report

Comprehensive biological interpretation from our experts to connect omics data with biological pathways, highlighting relevant mechanisms and potential biomarkers tailored to your study.

More info

How we work

From Samples to Insights

01

Contact and Proposal

Contact and

Proposal

02

Send Samples to the Lab

Send Samples
to the Lab

03

Frame 152

Sample Reception

and Processing

04

data usage 2

Mass Spectrometry

Analysis

05

Gain Insight into oloMAP Portal

Gain Insight into

oloMAP Portal

package

Standard Delivery Time:
6 weeks
Fast-track option available

labs

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

savings

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

Get in Touch!

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Get in Touch!

Partner with us to explore the power of our analysis in your field. Our team is ready to guide you through the process and deliver insights tailored to your research or industry needs.

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

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