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Biology subjects

Lievens, A.

Publications and source records attributed to Lievens, A..

2 recordsLinked to original sources

Introducing the digital PCR data essentials standard to harmonize data structure for clinical and research use

Digital PCR (dPCR) is a powerful technology for absolute quantification of nucleic acids, valued for its accuracy, sensitivity, and repeatability. Yet, the commercialization of different instruments with proprietary software has introduced challenges to data analysis, interoperability, and comparability. Therefore, we present the Digital PCR Data Essentials Standard (DDES) - a lightweight, human- and machine-readable, and cross-platform data standard developed in collaboration with the dPCR community. The standard consists of three file types designed to enable both manual inspection and automated analysis: (i) a main file summarizing experiment and reaction-level (meta-)data; (ii) an assay file describing targets and detection chemistry, and (iii) intensity files capturing partition-level raw fluorescence data per reaction. DDES supports a wide range of current dPCR applications, including singleplex and multiplex assays, endpoint and real-time readouts, and will be curated to implement future dPCR developments. By harmonizing the data structure, DDES lays out the foundation for FAIR dPCR data practices and supports improved software compatibility, collaborative and reproducible research, and future dPCR data repositories.

bioinformatics↗

A robust set of qPCR methods to evaluate adulteration in major spices and herbs

Spices and herbs are used in multiple forms by consumers and companies related to food or pharmaceuticals. Their intricate supply chains, high prices and limited productions make them susceptible to deceptive practises. However, robust methodology to detect multiple adulterants is still rarely available, preventing national control laboratories from enforcing European and national regulations. This article presents qPCR methods developed to identify adulterants in six commonly consumed spices and herbs, namely paprika, turmeric, saffron, cumin, oregano and black pepper. Each genuine sample was blended with the top five adulterants identified in the European Union-wide coordinated control plan on herbs and spices and existing literature. These SYBR Green qPCR methods enable specific detection of adulterants, and their sensitivities allow to differentiate inadvertent contamination from deliberate adulteration. Methods performances were evaluated both in binary mixtures and with complex adulteration pattern, validating their effectiveness in safeguarding the authenticity of these high values commodities. HighlightsO_LIAuthenticity of spices and herbs is at high risk of fraudulent malpractices. C_LIO_LIWe provide specific qPCR methods to detect prevalent adulterants. C_LIO_LITrueness of each method was systematically assessed. C_LIO_LISensitivity of methods meet ISO requirements for purity assessment. C_LIO_LIMethods versatility is evaluated with multi-adulterated samples. C_LI

molecular biology↗