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Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

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Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Summary

Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea is a scholarly article[1].

Key Facts

  • Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-hs-gc-ms-and-flash-gc-e-nose-in-combination-with-chemometric-analysis-and-machine-learning-algorithms-to-identify-
MLA “Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-hs-gc-ms-and-flash-gc-e-nose-in-combination-with-chemometric-analysis-and-machine-learning-algorithms-to-identify-.
BibTeX @misc{4ortxyz_using-hs-gc-ms-and-flash-gc-e-nose-in-combination-with-chemometric-analysis-and-machine-learning-algorithms-to-identify-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea}}, year = {2026}, url = {https://4ort.xyz/entity/using-hs-gc-ms-and-flash-gc-e-nose-in-combination-with-chemometric-analysis-and-machine-learning-algorithms-to-identify-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea — https://4ort.xyz/entity/using-hs-gc-ms-and-flash-gc-e-nose-in-combination-with-chemometric-analysis-and-machine-learning-algorithms-to-identify- (retrieved 2026-05-24)

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