Prunus dulcis 10,560 claims

species · family Rosaceae · green plant · NCBI Taxonomy ↗

Common name: almond — Also written in claims: almond · almonds · almond trees · bitter almond · almond tree · Prunus amygdalus — NCBI synonyms: Amygdalus communis · Amygdalus dulcis · Prunus amygdalus · Prunus communis · Prunus dulcis var. sativa

Listed here with its subspecies, varieties and cultivar groups: Prunus dulcis var. amara (132 claims)

187 spellings

Questions studied on this organism132 questions3 with results that differ270 papers

Prunus dulcisIvar Leidus · CC BY-SA 4.0 · Wikimedia Commons ↗

10,560 claims

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Observationobservedoriginal resultmeasured

Claim · model-written summary

Volatile component analysis identified 30 compounds in bitter almond.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Outcome: compounds were identified through volatile component analysise0
Value: 30 compoundse0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“A total of 30 compounds were identified through volatile component analysis”
✓ located verbatim in the source · abstract, characters 595–670

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: steaminge0
Outcome: terpenoids such as d -limonene and linaloole0
Direction: upregulatede0

Not reportedComparator

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“terpenoids such as d -limonene and linalool were significantly upregulated during steaming”
✓ located verbatim in the source · abstract, characters 684–774

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Benzyl alcohol was significantly downregulated during steaming.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: steaminge0
Outcome: benzyl alcohole0
Direction: downregulatede0

Not reportedComparator

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“during steaming, while benzyl alcohol was significantly downregulated”
✓ located verbatim in the source · abstract, characters 759–828

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Nonvolatile component analysis identified 199 metabolites.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Outcome: metabolites were identified through nonvolatile component analysise0
Value: 199 metabolitese0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“A total of 199 metabolites were identified through nonvolatile component analysis”
✓ located verbatim in the source · abstract, characters 830–911

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Eighty metabolites were screened as significantly different between treatments.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Outcome: significantly different metabolites were screenede0
Value: 80 significantly different metabolitese0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“80 significantly different metabolites were screened”
✓ located verbatim in the source · abstract, characters 917–969

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Steaming gave far more downregulated substances (45) than boiling (19).

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: steaminge0
Outcome: number of downregulated substancese0
Direction: far exceedede0
Value: 45e0
Comparator: boilinge0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“the number of downregulated substances in steaming (45) far exceeded that in boiling (19)”
✓ located verbatim in the source · abstract, characters 983–1072

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Steaming gave far more downregulated substances (45) than frying (23).

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: steaminge0
Outcome: number of downregulated substancese0
Direction: far exceedede0
Value: 45e0
Comparator: fryinge0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“the number of downregulated substances in steaming (45) far exceeded that in boiling (19) and frying (23)”
✓ located verbatim in the source · abstract, characters 983–1088

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: processinge0
Outcome: degradation of the cyanide alkaloid prunasine0
Direction: degradatione0

Not reportedComparator

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“the significant degradation of the cyanide alkaloid prunasin during the processing, resulting in the formation of volatile products such as benzaldehyde and hydrogen cyanide”
✓ located verbatim in the source · abstract, characters 1166–1339

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Treatment: processinge0
Outcome: detoxification mechanism of processinge0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“which confirms the detoxification mechanism of processing at the molecular level”
✓ located verbatim in the source · abstract, characters 1341–1421

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Observation Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Differential metabolites were mainly involved in 56 KEGG pathways such as alpha-linolenic acid metabolism and purine metabolism.

Taxon: Bitter AlmondPrunus dulcis var. amarat0
Outcome: 56 pathways such as α linolenic acid metabolism and purine metabolisme0
Value: 56 pathwayse0

Verbatim

t0
“Bitter Almond”
✓ located verbatim in the source · title, characters 69–82

e0
“differential metabolites mainly involve 56 pathways such as α linolenic acid metabolism and purine metabolism”
✓ located verbatim in the source · abstract, characters 1470–1579

Title

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; et al. ACS Omega 2026. doi:10.1021/acsomega.6c02445

Other claims from this paper (9)

Observation Volatile component analysis identified 30 compounds in bitter almond.
Intervention effect Terpenoids such as d-limonene and linalool were significantly upregulated during steaming of bitter almond.
Intervention effect Benzyl alcohol was significantly downregulated during steaming.
Observation Nonvolatile component analysis identified 199 metabolites.
Observation Eighty metabolites were screened as significantly different between treatments.
Intervention effect Steaming gave far more downregulated substances (45) than boiling (19).
Intervention effect Steaming gave far more downregulated substances (45) than frying (23).
Intervention effect Processing significantly degraded the cyanide alkaloid prunasin, forming volatile products such as benzaldehyde and hydrogen cyanide.
Mechanism The prunasin degradation is presented as confirming the detoxification mechanism of processing at the molecular level.