Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea

Research article (Journal of Food Composition and Analysis, 2023) · cited 19× · AI/ML
Press Enter · cited answer in seconds

Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea

Summary

Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea is a scholarly article[1].

Key Facts

  • Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea. Retrieved May 24, 2026, from https://4ort.xyz/entity/discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality
MLA “Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality.
BibTeX @misc{4ortxyz_discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea}}, year = {2026}, url = {https://4ort.xyz/entity/discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea — https://4ort.xyz/entity/discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/discriminating-compounds-identification-based-on-the-innovative-sparse-representation-chemometrics-to-assess-the-quality · Last refreshed: