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Machine Learning-Based Quantification of (−)-<i>trans</i>-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform
Research article (ACS Omega, 2022) · cited 16× · AI/ML
Machine Learning-Based Quantification of (−)-trans-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform
Summary
Machine Learning-Based Quantification of (−)-trans-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform is a scholarly article[1].
Key Facts
Machine Learning-Based Quantification of (−)-trans-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine Learning-Based Quantification of (−)-<i>trans</i>-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-quantification-of-i-trans-i-tetrahydrocannabinol-from-human-saliva-samples-on-a-smartphone-based-
MLA“Machine Learning-Based Quantification of (−)-<i>trans</i>-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-quantification-of-i-trans-i-tetrahydrocannabinol-from-human-saliva-samples-on-a-smartphone-based-.
BibTeX@misc{4ortxyz_machine-learning-based-quantification-of-i-trans-i-tetrahydrocannabinol-from-human-saliva-samples-on-a-smartphone-based-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning-Based Quantification of (−)-<i>trans</i>-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-quantification-of-i-trans-i-tetrahydrocannabinol-from-human-saliva-samples-on-a-smartphone-based-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning-Based Quantification of (−)-<i>trans</i>-Δ-Tetrahydrocannabinol from Human Saliva Samples on a Smartphone-Based Paper Microfluidic Platform — https://4ort.xyz/entity/machine-learning-based-quantification-of-i-trans-i-tetrahydrocannabinol-from-human-saliva-samples-on-a-smartphone-based- (retrieved 2026-05-24)