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TARGETED SKIN PANEL

Malodor Targeted Panel

23 Smart Probes Malodor Panel 

Validated targets: Corynebacterium species, Staphylococcus hominis, Cutibactrium acnes species

Absolute Quantification

End-to-end Service

Unlock the Secrets of Malodor with Sequential's Cutting-Edge Microbiome Testing

Why Microbiome Testing for Malodor?
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Malodor, or body odor, affects millions of people globally, with studies suggesting that up to 90% of individuals experience some form of body odor during their lifetime, especially in areas such as the underarms, feet, and groin (American Society for Microbiology). This issue arises primarily due to interactions between sweat and the skin’s microbiome, where certain bacteria, like Corynebacterium and Staphylococcus, break down sweat molecules into odorous compounds. The composition of a person’s microbiome greatly influences the severity and type of body odor they experience, which highlights the need for microbiome-focused deodorant formulations.

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In vivo testing is crucial for deodorants because it allows scientists to see how the product affects both sweat production and the microbiome in real-world conditions. Without proper testing, deodorants might mask odors temporarily but disrupt the natural microbial balance, leading to skin irritation or increased malodour over time. By ensuring deodorants maintain a healthy microbiome, brands can create more effective, long-lasting solutions for body odor.


Sequential is leading the way in microbiome testing for the industry. With a specialized focus on skin conditions, we have developed an innovative solution tailored to help you understand the root causes of malodor at the microbial level. Our proprietary sequencing panel is designed specifically to offer in-depth analysis of malodor-associated microbiota, giving you the tools to transform skincare solutions.

Customized Analysis

Tailored insights specific to malodor, allowing your R&D team to develop more personalized and effective products.

Actionable Data

Leverage detailed reports to guide formulation decisions and validate product efficacy with precision.

Product Innovation

New deoderants or enhancing existing lines, our data helps you create targeted solutions with proven results.

Precision Sequencing

Target specific microbial communities associated with malodor.

Smart Probes

Our dedicated team of scientists has developed a groundbreaking method for evaluating microbes through our Smart Probes™, a proprietary panel featuring 23 key microbes specifically identified as having the greatest impact on skin health, particularly in relation to malodor. To further investigate the complex relationship between body odor and the skin microbiome, we employ qPCR technology. This advanced technique enables us to precisely measure microbial populations on the skin, providing deeper insights into how imbalances in the microbiome contribute to malodor, such as the activity of bacteria like Corynebacterium and StaphylococcusBy carefully analyzing how deodorant and skincare products interact with odor-causing microbes, companies can develop solutions that not only target and reduce malodor but also support a healthy, balanced skin microbiome, ensuring long-lasting freshness and overall skin health.

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Malodor Panel Targets

Corynebacterium species
 

These bacteria are known to break down sweat into fatty acids and other compounds that contribute to body odor. They are particularly prevalent in areas like the armpits.

Staphylococcus hominis

This bacterium is involved in the breakdown of sweat and the production of odor-causing compounds. It is commonly found in areas with high sweat gland activity.

Cutibacterium acnes species

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Although better known for its role in acne, this bacterium also contributes to body odor by metabolizing sweat and producing odoriferous substances.

Industry Leader in Absolute Quantification

Sequential’s Smart Probe qPCR approach to microbiome analysis can resolve species and subspecies, giving statistically significant findings between skin conditions on in vivo human samples, compared to conventional sequencing approaches.

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