Citrus ×aurantium 2,442 claims

species · family Rutaceae · green plant · NCBI Taxonomy ↗

Common name: sour orange — Also written in claims: sour orange · Citrus aurantium · Citrus aurantium L · C. aurantium · bitter orange · Citrus deliciosa — NCBI synonyms: Citrus aurantium · Citrus reticulata x Citrus maxima

Listed here with its subspecies, varieties and cultivar groups: Citrus ×aurantium f. deliciosa (106 claims), Citrus aurantium var. amara (37 claims)

115 spellings

Citrus ×aurantium
Citrus ×aurantiumZeynel Cebeci · CC BY-SA 4.0 · Wikimedia Commons ↗
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The SOA-XGB model achieved an accuracy of 0.9213 ± 0.0148 in the four-class origin discrimination of Fructus Aurantii.

Taxon
Citrus aurantiumCitrus ×aurantiume0
Outcome
accuracye1
Value
0.9213 ± 0.0148e1
Qualifier
four-class origin discrimination taske1

Not reportedComparator

Verbatim

e0

“the dried processed product of Citrus aurantium L.”

✓ located verbatim in the source · abstract, characters 23–73
e1

“The SOA-XGB model achieved an accuracy of 0.9213 ± 0.0148 in the four-class origin discrimination task”

✓ located verbatim in the source · abstract, characters 645–747

Title

Geographical origin discrimination of Fructus Aurantii by visible near-infrared imaging with machine learning and explainable analysis

Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333

Other claims from this paper (4)
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

The SOA-XGB model maintained stable performance on the external validation set.

Taxon
Citrus aurantiumCitrus ×aurantiume0
Outcome
stable performancee2
Setting
external validation sete2

Schema note from the model: method performance on an external validation set stated without a comparator or value; kind observation chosen

Verbatim

e0

“the dried processed product of Citrus aurantium L.”

✓ located verbatim in the source · abstract, characters 23–73
e2

“maintained stable performance on the external validation set”

✓ located verbatim in the source · abstract, characters 752–812

Title

Geographical origin discrimination of Fructus Aurantii by visible near-infrared imaging with machine learning and explainable analysis

Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333

Other claims from this paper (4)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

A limited number of informative wavelengths could achieve performance close to that of the full-band model.

Taxon
Citrus aurantiumCitrus ×aurantiume0
Outcome
performancee3
Direction
close toe3
Qualifier
a limited number of informative wavelengthse3
Comparator
full-band modele3

Verbatim

e0

“the dried processed product of Citrus aurantium L.”

✓ located verbatim in the source · abstract, characters 23–73
e3

“a limited number of informative wavelengths could achieve performance close to that of the full-band model”

✓ located verbatim in the source · abstract, characters 853–959

Title

Geographical origin discrimination of Fructus Aurantii by visible near-infrared imaging with machine learning and explainable analysis

Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333

Other claims from this paper (4)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Wavelengths around 570–730 nm and 850–980 nm contributed notably to the model decisions for Fructus Aurantii origin.

Taxon
Citrus aurantiumCitrus ×aurantiume0
Outcome
contributed notably to model decisionse4
Value
570–730 nm and 850–980 nme4

Not reportedComparator

Verbatim

e0

“the dried processed product of Citrus aurantium L.”

✓ located verbatim in the source · abstract, characters 23–73
e4

“wavelengths mainly distributed around 570–730 nm and 850–980 nm contributed notably to model decisions”

✓ located verbatim in the source · abstract, characters 1011–1113

Title

Geographical origin discrimination of Fructus Aurantii by visible near-infrared imaging with machine learning and explainable analysis

Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333

Other claims from this paper (4)
Observationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The Vis/NIR imaging approach is rapid, non-destructive and reliable for Fructus Aurantii geographical origin discrimination.

Taxon
Citrus aurantiumCitrus ×aurantiume0
Outcome
reliable approach for FA geographical origin discriminatione5
Qualifier
rapid, non-destructive, and reliablee5

Verbatim

e0

“the dried processed product of Citrus aurantium L.”

✓ located verbatim in the source · abstract, characters 23–73
e5

“provides a rapid, non-destructive, and reliable approach for FA geographical origin discrimination”

✓ located verbatim in the source · abstract, characters 1268–1366

Title

Geographical origin discrimination of Fructus Aurantii by visible near-infrared imaging with machine learning and explainable analysis

Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333

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Other claims from this paper (4)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Goutoucheng exhibited less growth inhibition and leaf damage than trifoliate orange under 60 mM NaCl.

Taxon
Citrus aurantiumCitrus ×aurantiume1
Material
Goutouchenge1
Treatment
60 mM NaCle1
Outcome
growth inhibition and leaf damagee2
Direction
lesse2
Comparator
trifoliate orangee2

Verbatim

e1

“salt-tolerant Goutoucheng (Citrus aurantium) under 60 mM NaCl treatment for 12 h and 24 h”

✓ located verbatim in the source · abstract, characters 308–397
e2

“Goutoucheng exhibited less growth inhibition and leaf damage than trifoliate orange”

✓ located verbatim in the source · abstract, characters 441–524

Title

Integrative Analysis of Transcriptome and Metabolome Reveals Molecular Mechanisms of Salt Tolerance in Two Citrus Rootstocks

Yueting Sun; Peng Wang; Yanmei Wu; et al. International Journal of Molecular Sciences 2026. doi:10.3390/ijms27125361

Other claims from this paper (14)
Observationobservedoriginal resultmeasured

Claim · model-written summary

The integrated UPLC-Q-Exactive Orbitrap-MS and GC-MS platform identified 129 non-volatile and 62 volatile compounds in Aurantii Fructus.

Taxon
Citrus aurantiumCitrus ×aurantiumt0
Outcome
compoundse0
Value
129 non-volatile and 62 volatile compoundse0

Verbatim

e0

“identify 129 non-volatile and 62 volatile compounds”

✓ located verbatim in the source · abstract, characters 670–721
t0

“Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles”

✓ located verbatim in the source · title, characters 0–113

Title

Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles

Yaodeng Wang; Honghong Liang; Juan Wang; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.108941

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Multivariate analysis revealed 15 non-volatile and 11 volatile markers that discriminate the Citrus aurantium varieties.

Taxon
Citrus aurantiumCitrus ×aurantiumt0
Outcome
markers for variety discriminatione0
Value
15 non-volatile and 11 volatile markerse0

Verbatim

e0

“Multivariate analysis revealed 15 non-volatile and 11 volatile markers for variety discrimination”

✓ located verbatim in the source · abstract, characters 723–820
t0

“Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles”

✓ located verbatim in the source · title, characters 0–113

Title

Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles

Yaodeng Wang; Honghong Liang; Juan Wang; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.108941

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

All four Citrus aurantium varieties were high in naringin and neohesperidin.

Taxon
Citrus aurantiumCitrus ×aurantiumt0
Outcome
naringin and neohesperidine0
Direction
highe0

Verbatim

e0

“all varieties were high in naringin and neohesperidin”

✓ located verbatim in the source · abstract, characters 926–979
t0

“Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles”

✓ located verbatim in the source · title, characters 0–113

Title

Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles

Yaodeng Wang; Honghong Liang; Juan Wang; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.108941

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

C. aurantium 'Daidai' had elevated vicenin II, neoeriocitrin and luteolin.

Taxon
Citrus aurantiumCitrus ×aurantiumt0
Material
C. aurantium 'Daidai'e0
Outcome
vicenin II, neoeriocitrin, and luteoline0
Direction
elevatede0

Verbatim

e0

“C. aurantium 'Daidai' had elevated vicenin II, neoeriocitrin, and luteolin”

✓ located verbatim in the source · abstract, characters 981–1055
t0

“Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles”

✓ located verbatim in the source · title, characters 0–113

Title

Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles

Yaodeng Wang; Honghong Liang; Juan Wang; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.108941

Other claims from this paper (7)