Sarah E Hancock

@sarahehancock.bsky.social

She/her. Researcher at Victor Chang Cardiac Research Institute using #massspec to uncover the secrets of cell metabolism. #TeamMassSpec #lipidomics #metabolomics #FemalesinMS. Also the person who found meth in the Sydney Fatbergs. Treasurer for #ANZSMS

Lipids are everywhere in biology, but lipid researchers are often scattered across disciplines. Membranes, metabolism, infection, neuroscience, lipidomics… the field is huge, but the community isn’t always connected. Something new is coming to change that. Stay tuned. 🧬

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Super thrilled to have this one accepted at AnalChem last week. Nice way to see out the end of the year. 🎉 #lipidomics #TeamMassSpec

Cellular Bioenergetics Laboratory@cellbioenerglab.bsky.social · 8mo ago

🎉 We are pleased to announce @sarahehancock.bsky.social's latest publication in Analytical Chemistry: "Epoxidation-Enhanced Charge-Switch Derivatization for Rapid Profiling of Monounsaturated Fatty Acid Isomers" Read the paper here 👉 pubs.acs.org/doi/full/10....

@phenylauraline.bsky.social is on 🔥🔥🔥 taking out the Paul Korner Seminar awards for two consecutive years. #TeamMassSpec #lipidomics

Cellular Bioenergetics Laboratory@cellbioenerglab.bsky.social · 8mo ago

Congrats to our PhD student Laura Choong @phenylauraline.bsky.social for winning best student Paul Korner Seminar Series award for 2025! Even more impressive considering she won the People's Choice seminar award last year @victorchang.edu.au 🧪👩‍🔬

Our very own newly minted PhD @jasmineleighb.bsky.social is the @victorchang.edu.au Star Scientist for November. Best of all, she's currently looking for postdoc opportunities for 2026. Hit her up if you think she might be a good fit for your lab. #teammassspec #obesity #nad 👩‍🔬🧪

Victor Chang Cardiac Research Institute@victorchang.edu.au · 9mo ago

Star Scientist Dr @jasmineleighb.bsky.social is on a mission to prevent and reverse obesity by unlocking the power of NAD+ - a molecule that helps our cells turn food into energy. Her work could pave the way for new approaches to tackling metabolic and heart disease risk.:

I put this one up quietly on @chemrxiv.org before disappearing on annual leave for 3 weeks. It is a quick and useful technique for those of us who want to do isomer-resolved #lipidomics but don't have access to modified instruments. doi.org/10.26434/che... #teammassspec #massspec

Epoxidation-enhanced charge-switch derivatization for rapid profiling of monounsaturated fatty acid isomers

Structural isomerism in monounsaturated fatty acids (MUFAs) presents a persistent challenge in lipidomics due to limited chromatographic resolution and indistinguishable mass spectral profiles. Moreover, many methods that overcome these limitations require specialized instruments or complex photochemistry typically not accessible in for those using standard lipidomics core facilities. We report a streamlined LC-MS/MS method that integrates N-(4-aminomethylphenyl)pyridinium (AMP)-based charge-switch derivatization with meta-chloroperoxybenzoic acid (mCPBA) epoxidation to enable rapid and sensitive profiling of MUFA double bond positional isomers. Charge-switching enables enhanced detection of fatty acids while epoxidation improves chromatographic resolution and produces diagnostic fragmentation patterns upon collision-induced dissociation (CID), enabling precise localization of double bond positions. The optimized workflow achieves baseline separation of 16:1, 18:1, and 20:1 MUFA isomers within a 20-minute gradient, with reproducible retention times and consistent epoxide yields. The method also supports partial resolution of polyunsaturated fatty acids (PUFA) and cis/trans isomers. Application to prostate cancer cell lines revealed distinct MUFA isomer profiles associated with aberrant fatty acid desaturase 2 (FADS2) activity, including elevated n-10 and n-12 isomers in tumorigenic lines. These results align with prior studies using other isomer-resolving techniques, validating the method’s analytical performance. This accessible and robust strategy expands the toolkit for lipidomics research, providing a method that is compatible with conventional LC-MS/MS workflows, positioning it as a practical solution for high-resolution isomer analysis in complex biological samples

doi.org