Evidence map›Paper›PMID 42396009›Full record

ArticleACS omega2026

Unraveling the Impacts of Preprocessing on the Metabolite Profile of Bitter Almond Using UPLC-MS/MS and GC-MS Analysis.

Liwei Zhao, Jianlong Ma, Fengxia Hao, Xuebin Li, Qingqi Feng

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Liwei ZhaoState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China.
Jianlong MaState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China.
Fengxia HaoState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China.
Xuebin LiState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China.
Qingqi FengState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a traditional Chinese medicine, bitter almonds contain amygdalin, which can be hydrolyzed by β-glucosidase to release highly toxic hydrogen cyanide. There are safety hazards in clinical use, and high-temperature pretreatment is required for use. This study is based on the differences in β-GC activity of bitter almonds treated with different pretreatment methods. SPME-GC-MS and UPLC-MS/MS combined techniques were used to analyze the metabolic profile differences before and after processing from both volatile and nonvolatile dimensions. A total of 30 compounds were identified through volatile component analysis, among which terpenoids such as d-limonene and linalool were significantly upregulated during steaming, while benzyl alcohol was significantly downregulated. A total of 199 metabolites were identified through nonvolatile component analysis, and 80 significantly different metabolites were screened. Among them, the number of downregulated substances in steaming (45) far exceeded that in boiling (19) and frying (23), showing a clear trend of substance degradation. Of particular importance is the significant degradation of the cyanide alkaloid prunasin during the processing, resulting in the formation of volatile products such as benzaldehyde and hydrogen cyanide, which confirms the detoxification mechanism of processing at the molecular level. KEGG pathway enrichment analysis revealed that differential metabolites mainly involve 56 pathways such as α linolenic acid metabolism and purine metabolism, constructing a complex metabolic network during the processing.

Identifiers

PMID42396009
PMCPMC13325154

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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.