Caroline Hroncich

1 week ago | chromatographyonline.com | Caroline Hroncich |Aaron Acevedo

Tian (Autumn) Qiu has been named one of the ASMS 2025 Research Award winners, and received her award at the ASMS conference in Baltimore. Environmental toxicology is one of Qiu's passions, specifically studying the implications of nanoparticles as emerging contaminants. MALDI-mass spectrometry techniques are currently being used to study per- and polyfluoroalkyl substances (PFAS).

2 weeks ago | foodsafety.einnews.com | Caroline Hroncich

Key Points:Honey adulteration highlights ongoing challenges with food fraud and authenticity in the global food industry, said Tarun Anumol, director of the Applied Markets Segment Group at Agilent, during the ASMS Conference. Changing consumer preferences toward health, wellness, and specialty foods—driven largely by Millennials and Gen Z—are increasing demand for organic and plant-based products, which require new and more sensitive testing methods.

2 weeks ago | chromatographyonline.com | Caroline Hroncich

Honey adulteration highlights ongoing challenges with food fraud and authenticity in the global food industry, said Tarun Anumol, director of the Applied Markets Segment Group at Agilent, during the ASMS Conference. Changing consumer preferences toward health, wellness, and specialty foods—driven largely by Millennials and Gen Z—are increasing demand for organic and plant-based products, which require new and more sensitive testing methods.

2 weeks ago | chromatographyonline.com | Caroline Hroncich |Aaron Acevedo

Tian (Autumn) Qiu has been named one of the ASMS 2025 Research Award winners, and received her award at the ASMS conference in Baltimore. She feels encouraged after receiving the award, having started research into the field during her postdoctoral research. Her laboratory's research is focused on the molecular mechanisms for interactions between environmental exposure, microbiome activity, and host animal responses.

2 weeks ago | chromatographyonline.com | Caroline Hroncich

Mass spectrometry hardware has advanced rapidly, prompting companies enhance software and calibration methods to improve data quality and analytical accuracy. Accurate, tightly calibrated data is essential for effective AI/ML use, reducing the need for massive datasets and making training more efficient. Cerno Bioscience’s approach involves calibrating on two axes (X and Y) to fundamentally improve mass spectral accuracy and supports integration with systems like Agilent’s latest instruments.