Evidence map›Paper›PMID 42429401›Full record

ArticleJournal of separation science2026

Comprehensive Chemical Profiling and Quantitative Determination of Solanum americanum Mill. and S. nigrum Linn. Combined by UHPLC-HRMS With Feature-Based Molecular Networking.

Lingyi Xin, Xuemei Wei, Renyan Liu, Yun Li, Yang Yang, Yongtong Huang, Yu Zhang, Baodong Feng, Linqi Su, Quanxi Mei and 2 more

Abstract read
In one paragraph

Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lingyi XinShenzhen Clinical College of Integrated Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Xuemei WeiShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Renyan LiuShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Yun LiShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Yang YangShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Yongtong HuangShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Yu ZhangShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Baodong FengShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Linqi SuShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Quanxi MeiThe Seventh Clinical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Qinhua ChenShenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen, Guangdong, China.
Guangyi YangShenzhen Clinical College of Integrated Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.

Funding

Administration of Traditional Chinese Medicine of Guangdong Province 20251335High-Quality Development Research Project of Shenzhen Bao'an Public Hospital BAGZL2024059National Natural Science Foundation of China 82272960The Sanming Project of Medicine in Shenzhen SZZYSM202106004The Sanming Project of Medicine in Shenzhen SZZYSM202106009
6 · The paper itself

Abstract

Solanum americanum Mill. and S. nigrum Linn. are traditional Solanaceae-derived herbal medicines. Their sprouts and mature fruits are utilized as both vegetables and medicinal herbs. Although S. americanum Mill. is classified as a primary variety of S. nigrum Linn., significant pharmacological variations and incompletely characterized phytochemical profiles differentiate their applications. In this study, UHPLC/LTQ-Orbitrap mass spectrometry (HRMS) (Thermo Fisher Scientific, USA), assisted with feature-based molecular networking, was applied for in-depth profiling of S. americanum Mill. and S. nigrum Linn. With the help of feature-based molecular networking, five clusters were characterized, including flavonoids, phenylpropanoids, fatty acids, alkaloids, and steroids. S. americanum Mill. demonstrated markedly higher relative abundance in flavanols than S. nigrum Linn., potentially elucidating its distinct antioxidant activity and its anti-inflammatory and antibacterial efficacy. In addition, metabolomics coupled with multivariate analyses screened and identified 16 discriminative chemical markers enabling differentiation between S. americanum Mill. and S. nigrum Linn. Building on the above, to elucidate the chemical basis underlying their distinct pharmacological activities, we quantified 13 identified key differential constituents of S. americanum Mill. and S. nigrum Linn. extracts by UHPLC-QTRAP-MS/MS using the multiple reaction monitoring (MRM) mode. The average contents of isoquercitrin, rutin, protocatechuic acid, and chlorogenic acid in S. americanum Mill. are significantly higher than those in S. nigrum Linn., suggesting that these components may serve as potential quality markers for S. americanum Mill. This study elucidates the chemical basis underlying S. americanum Mill. and S. nigrum Linn.'s pharmacological activity differences, establishes quality control tools, and supports S. americanum Mill.'s rational utilization in herbal medicine development.

Indexed as

Plant ExtractsSolanumAlkaloidsChromatography, High Pressure LiquidFlavonoidsLiquid Chromatography-Mass SpectrometryMass SpectrometryAlkaloidsFlavonoidsPlant Extractschemical characterizationmetabolite profilingmultivariate statistical analysistraditional Solanaceae

Identifiers

PMID42429401
PMCPMC13353124

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Registered trials

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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.