ArticleACS omega2019
Differentiation of
Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Maca (Foods (Basel, Switzerland) · 2026Review
- Antioxidant, Neuroprotective, and Antinociceptive Effects of Peruvian Black Maca (Antioxidants (Basel, Switzerland) · 2025Article
- Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques.Scientific reports · 2024Article
- Article
- Comprehensive Profiling of Macamides and Fatty Acid Derivatives in Maca with Different Postharvest Drying Processes Using UPLC-QTOF-MS.ACS omega · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we report a high-speed, high-sensitivity, and economic method to authenticate Maca. After being extracted by ethanol, nutritional components of a dozen kinds of Maca were detected by electrospray ionization mass spectrometry. Combined with principal component analysis (PCA), these samples can be rapidly differentiated after selecting the origins and principal components in the projection of components 1 and 2. The result suggests that sample 2 from Lijiang gets the highest comprehensive score among the samples and sample 1 from Huize gets the lowest comprehensive score among the samples in positive-ion mass spectra. However, sample 2 from Peru gets the highest comprehensive score among the samples and sample 3 from Lijiang gets the lowest comprehensive score among the samples in negative-ion mass spectra. Compared with the PCA results, the data of negative-ion mass spectra can better differentiate these samples than those of positive-ion mass spectra. This method has the advantages of easy operation and high efficiency, which make it a differential tool in the fields of food safety, medicinal chemistry, and materials science.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.