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Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization
Research article (Journal of Chromatography A, 2015) · cited 11× · AI/ML
Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization
Summary
Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization is a scholarly article[1].
Key Facts
Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization. Retrieved May 24, 2026, from https://4ort.xyz/entity/solving-signal-instability-to-maintain-the-second-order-advantage-in-the-resolution-and-determination-of-multi-analytes-
MLA“Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/solving-signal-instability-to-maintain-the-second-order-advantage-in-the-resolution-and-determination-of-multi-analytes-.
BibTeX@misc{4ortxyz_solving-signal-instability-to-maintain-the-second-order-advantage-in-the-resolution-and-determination-of-multi-analytes-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization}}, year = {2026}, url = {https://4ort.xyz/entity/solving-signal-instability-to-maintain-the-second-order-advantage-in-the-resolution-and-determination-of-multi-analytes-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization — https://4ort.xyz/entity/solving-signal-instability-to-maintain-the-second-order-advantage-in-the-resolution-and-determination-of-multi-analytes- (retrieved 2026-05-24)