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FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration
FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration
Summary
FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration is a scholarly article[1].
Key Facts
FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration. Retrieved May 24, 2026, from https://4ort.xyz/entity/ft-nir-combined-with-machine-learning-was-used-to-rapidly-detect-the-adulteration-of-pericarpium-citri-reticulatae-chenp
MLA“FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ft-nir-combined-with-machine-learning-was-used-to-rapidly-detect-the-adulteration-of-pericarpium-citri-reticulatae-chenp.
BibTeX@misc{4ortxyz_ft-nir-combined-with-machine-learning-was-used-to-rapidly-detect-the-adulteration-of-pericarpium-citri-reticulatae-chenp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration}}, year = {2026}, url = {https://4ort.xyz/entity/ft-nir-combined-with-machine-learning-was-used-to-rapidly-detect-the-adulteration-of-pericarpium-citri-reticulatae-chenp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration — https://4ort.xyz/entity/ft-nir-combined-with-machine-learning-was-used-to-rapidly-detect-the-adulteration-of-pericarpium-citri-reticulatae-chenp (retrieved 2026-05-24)
