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Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma
Research article (Journal of Chemometrics, 2018) · cited 11× · AI/ML
Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma
Summary
Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma is a scholarly article[1].
Key Facts
Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma's Solid‐phase microextraction is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiresponse-and-multiobjective-latent-variable-optimization-of-modern-analytical-instrumentation-for-the-quantificatio
MLA“Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiresponse-and-multiobjective-latent-variable-optimization-of-modern-analytical-instrumentation-for-the-quantificatio.
BibTeX@misc{4ortxyz_multiresponse-and-multiobjective-latent-variable-optimization-of-modern-analytical-instrumentation-for-the-quantificatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma}}, year = {2026}, url = {https://4ort.xyz/entity/multiresponse-and-multiobjective-latent-variable-optimization-of-modern-analytical-instrumentation-for-the-quantificatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiresponse and multiobjective latent variable optimization of modern analytical instrumentation for the quantification of chemically related families of compounds: Case study—Solid‐phase microextraction (SPME) applied to the quantification of analytes with impact on wine aroma — https://4ort.xyz/entity/multiresponse-and-multiobjective-latent-variable-optimization-of-modern-analytical-instrumentation-for-the-quantificatio (retrieved 2026-05-24)