Nikoline Juul Nielsen is an Associate Professor at the Department of Plant and Environmental Science at University of Copenhagen (UCPH), Denmark. She has a BSc in Agronomy, an MSc in Environmental Chemistry and did her PhD on analytical and data processing strategies in natural products research. She specializes in fundamental and advanced analytical chemistry, with focus on multidimensional separations built on chromatography and mass spectrometry techniques. She profiles complex environmental and biological samples, and extracts information through targeted or non-targeted approaches. At UCPH, she is the head of studies for the MSc program in Environmental Science, and serves as educator and mentor, having co-founded the first Danish MSc-specialization in Analytical Chemistry, developed several specialized MSc and PhD courses and supervised graduate students and researchers. Recently, and with four colleagues, she founded the spin-out company NTS Analytica. The company assists in planning, executes and interprets customized non-target screening investigations.
Nikoline Juul Nielsen from the University of Copenhagen, Denmark explores deprotomer formation for accurate CCS prediction and metabolite identification and the potential of implementing these workflows for routine use.
LCGC International spoke with Nikoline Juul Nielsen from the University of Copenhagen, Denmark on the benefits of RPLC×HILIC–cIMS for data-independent profiling of phenolic constituents in plant extracts. In this episode she explores practical aspects of cIMS and the potential for routine analysis.
LCGC International spoke with Nikoline Juul Nielsen from the University of Copenhagen, Denmark about the benefits of comprehensive two-dimensional liquid chromatography (RPLC×HILIC)—cyclic ion mobility-time-of-flight mass spectrometry (cIMS) for analyzing plant extracts.
This article discusses how integrating seven prioritization strategies can enhance compound identification, support environmental risk assessment, and accelerate decision-making.
This article discusses how integrating seven prioritization strategies can enhance compound identification, support environmental risk assessment, and accelerate decision-making.
The authors introduce a new high-throughput approach for analyzing environmental micropollutants.
Selective pressurized liquid extraction and multilayer solid‑phase extraction methods are described for high‑throughput plant, soil, and water sample preparations. Optimal analytical conditions are described for the improvement of detection sensitivities and coverage. A Source Supported Suspect Screening (4S) approach is described; phytotoxins detected in the source plant were used to improve the identification of phytotoxins in soil and water.
LCGC North America
This article describes and tests a dynamic DHS−TD−GC−MS method for the fingerprinting analysis of mobile volatile organic compounds in soil.
LCGC Asia Pacific
The chemical analysis of organic compounds in environmental samples is often targeted on predetermined analytes. A major shortcoming of this approach is that it invariably excludes a vast number of compounds of unknown relevance. Nontargeted chemical fingerprinting analysis addresses this problem by including all compounds that generate a relevant signal from a specific analytical platform and so more information about the samples can be obtained. A DHS−TD−GC−MS method for the fingerprinting analysis of mobile VOCs in soil is described and tested in this article. The analysis parameters, sorbent tube, purge volume, trapping temperature, drying of sorbent tube, and oven temperature were optimized through qualitative and semiquantitative analysis. The DHS−TD–GC−MS fingerprints of soil samples from three sites with spruce, oak, or beech were investigated by pixel-based analysis, a nontargeted data analysis method.
LCGC Europe
The chemical analysis of organic compounds in environmental samples is often targeted on predetermined analytes. A major shortcoming of this approach is that it invariably excludes a vast number of compounds of unknown relevance. Nontargeted chemical fingerprinting analysis addresses this problem by including all compounds that generate a relevant signal from a specific analytical platform and so more information about the samples can be obtained. A DHS−TD−GC−MS method for the fingerprinting analysis of mobile VOCs in soil is described and tested in this article. The analysis parameters, sorbent tube, purge volume, trapping temperature, drying of sorbent tube, and oven temperature were optimized through qualitative and semiquantitative analysis. The DHS−TD–GC−MS fingerprints of soil samples from three sites with spruce, oak, or beech were investigated by pixel-based analysis, a nontargeted data analysis method.
