Unveiling the Floral Scent Dynamics of Calamondin (Citrus × microcarpa) Across Developmental Stages
Open accessAbstract
The calamondin (Citrus × microcarpa) is highly valued for its ornamental appeal and rich aromatic compounds, making it suitable for therapeutic gardens and widely applicable in the cosmetics, food, pharmaceutical, and perfume industries. Despite its importance, there is a lack of research on its floral volatiles. This study utilized headspace solid-phase microextraction gas chromatography–mass spectrometry (HS–SPME–GC–MS) to detect the volatile organic compounds (VOCs) of calamondin at different floral developmental stages: bud (BS), half-open (HS), full bloom (FS), and senescence (SS). Multivariate statistical analysis was employed to elucidate the aromatic characteristics. The results identified 67 VOCs across the four stages, including forty-eight terpenoids, six esters, five aromatics, four aldehydes, one olefin, one alcohol, and two others. Thirty-three VOCs were common across all stages, while BS, HS, FS, and SS had three, three, four, and nine unique VOCs, respectively. The total VOC content increased initially and then decreased as the flowers developed, with terpenoids being the predominant compounds, accounting for over 90% of the total emissions at all stages. Principal component analysis and hierarchical cluster analysis confirmed significant differences in VOC profiles at different stages. Partial least squares discriminant analysis identified five VOCs with variable importance in projection (VIP) values greater than one, including limonene, linalool, β-pinene, germacrene D, and β-ocimene, indicating their varying emission levels across stages. These findings enhance our understanding of the VOC characteristics of calamondin flowers and provide a scientific basis for further ornamental and industrial applications.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 35
- Pichersky, E.; Dudareva, N. Scent engineering: Toward the goal of controlling how flowers smell. Trends Biotechnol. (Regul. Ed.) 2007, 25, 105-110. [CrossRef] [PubMed] · DOI
- Mostafa, S.; Wang, Y.; Zeng, W.; Jin, B. Floral scents and fruit aromas: Functions, compositions, biosynthesis, and regulation. Front. Plant Sci. 2022, 13, 860157. [CrossRef] [PubMed] · DOI
- Dudareva, N.; Klempien, A.; Muhlemann, J.K.; Kaplan, I. Biosynthesis, function and metabolic engineering of plant volatile organic compounds. New Phytol. 2013, 198, 16-32. [CrossRef] [PubMed] · DOI
- Muhlemann, J.K.; Klempien, A.; Dudareva, N. Floral volatiles: From biosynthesis to function. Plant Cell Environ. 2014, 37, 1936-1949. [CrossRef] · DOI
- Kong, Y.; Bai, J.; Lang, L.; Bao, F.; Dou, X.; Wang, H.; Shang, H. Variation in floral scent compositions of different lily hybrid groups. J. Am. Soc. Hortic. Sci. 2017, 142, 175-183. [CrossRef] · DOI
- Song, C.; Wang, Q.; Teixeira Da Silva, J.A.; Yu, X. Identification of floral fragrances and analysis of fragrance patterns in herbaceous peony cultivars. J. Am. Soc. Hortic. Sci. 2018, 143, 248-258. [CrossRef] · DOI
- Bera, P.; Kotamreddy, J.N.R.; Samanta, T.; Maiti, S.; Mitra, A. Inter-specific variation in headspace scent volatiles composition of four commercially cultivated jasmine flowers. Nat. Prod. Res. 2015, 29, 1328-1335. [CrossRef] · DOI
- Ramya, M.; Jang, S.; An, H.R.; Lee, S.Y.; Park, P.M.; Park, P.H. Volatile organic compounds from orchids: From synthesis and function to gene regulation. Int. J. Mol. Sci. 2020, 21, 1160. [CrossRef] · DOI
- Chuang, Y.C.; Lee, M.C.; Chang, Y.L.; Chen, W.H.; Chen, H.H. Diurnal regulation of the floral scent emission by light and circadian rhythm in the phalaenopsis orchids. Bot. Stud. 2017, 58, 50. [CrossRef] · DOI
- Agarwal, P.; Sebghatollahi, Z.; Kamal, M.; Dhyani, A.; Shrivastava, A.; Singh, K.K.; Sinha, M.; Mahato, N.; Mishra, A.K.; Baek, K. Citrus essential oils in aromatherapy: Therapeutic effects and mechanisms. Antioxidants 2022, 11, 2374. [CrossRef] · DOI
- Husni, E.; Ismed, F.; Afriyandi, D. Standardization study of simplicia and extract of calamondin (Citrus microcarpa Bunge) peel, quantification of hesperidin and antibacterial assay. Pharmacogn. J. 2020, 12, 777-783. [CrossRef] · DOI · Paper page
- Cheong, M.W.; Chong, Z.S.; Liu, S.Q.; Zhou, W.; Curran, P.; Yu, B. Characterisation of calamansi (Citrus microcarpa). Part I: Volatiles, aromatic profiles and phenolic acids in the peel. Food Chem. 2012, 134, 686-695. [CrossRef] [PubMed] · DOI
- Septama, A.W.; Yuandani, Y.; Khairunnisa, N.A.; Nasution, H.R.; Utami, D.S.; Kristiana, R.; Jantan, I. Antibacterial, bacteriolytic, antibiofilm, and synergistic effects of the peel oils of citrus microcarpa and Citrus x amblycarpa with tetracycline against foodborne Escherichia coli. Lett. Appl. Microbiol. 2023, 76, ovad126. [CrossRef] [PubMed] · DOI
- Correction to 'essential oil from citrus depressa peel exhibits antimicrobial, antioxidant and cancer chemopreventive effects'. J. Sci. Food Agric. 2024, 104, 8388. [CrossRef] · DOI
- Stewart, A.J.; Mullen, W.; Crozier, A. On-line high-performance liquid chromatography analysis of the antioxidant activity of phenolic compounds in green and black tea. Mol. Nutr. Food Res. 2005, 49, 52-60. [CrossRef] · DOI
- Othman, H.I.A.; Zaid, A.; Cacciola, F.; Zhao, Z.; Guan, X.; Althakafy, J.T.; Wong, Y.F. Evaluation of cryogen-free thermal modulation-based enantioselective comprehensive two-dimensional gas chromatography for stereo-differentiation of monoter- penes in Citrus spp. Leaf oils. Molecules 2023, 28, 1381. [CrossRef] · DOI
- Farah Fazwa, M.A.; Ab Rasip, A.G.; Nor Azah, M.A.; Lokmal, N.; Said, A.A. Selection of leaf oil yielding genotypes of Citrus microcarpa. J. Trop. Med. Plants 2007, 8, 282-284.
- Manaf, Y.N.; Osman, A.; Lai, O.M.; Long, K.; Ghazali, H.M. Characterisation of musk lime (Citrus microcarpa) seed oil. J. Sci. Food Agric. 2008, 88, 676-683. [CrossRef] · DOI
- Chen, H.-C.; Peng, L.-W.; Sheu, M.-J.; Lin, L.-Y.; Chiang, H.-M.; Wu, C.-T.; Wu, C.-C.; Chen, Y.-C. Effects of hot water treatment on the essential oils of calamondin. J. Food Drug Aanlyais 2013, 21, 363-368. [CrossRef] · DOI
- Nguyen, T.N.; Huynh, T.N.; Tran, V.; Dang, C.; Hoang, T.K.; Nguyen, T. Physicochemical characterization and bioactivity evaluation of essential oils from citrus microcarpa bunge leaf and flower. J. Essent. Oil Res. 2018, 30, 285-292. [CrossRef] · DOI
- Ahangarpour, A.; Oroojan, A.A.; Amirzargar, A.; Ghanavati, M. Antispasmodic effects of Citrus aurantium flowers aqueous extract on uterus of non-pregnant rats. Iran. J. Reprod. Med. 2011, 9, 289-294. [PubMed]
- Xie, D.; Zhou, Y.; Wang, Y.; Xu, L.; Yang, C.; Zhang, G.; Zhang, H.; Du, Q.; Jin, P. Insight into sensory characteristics and volatile differences of freeze-dried Citrus aurantium L. var. amara Engl. Flower essential oil-casein phospholipid nanocomposites sustained-release scented tea by combining gc-e-nose and sbse-gc-ms. Food Control 2024, 166, 110714. [CrossRef] · DOI
- Noonan, M.J.; Tinnesand, H.V.; Buesching, C.D. Normalizing gas-chromatography-mass spectrometry data: Method choice can alter biological inference. Bioessays 2018, 40, e1700210. [CrossRef] [PubMed] · DOI
- Gu, Z. Complex heatmap visualization. Imeta 2022, 1, e43. [CrossRef] · DOI
- Thévenot, E.A.; Roux, A.; Xu, Y.; Ezan, E.; Junot, C. Analysis of the human adult urinary metabolome variations with age, body mass index, and gender by implementing a comprehensive workflow for univariate and opls statistical analyses. J. Proteome Res. 2015, 14, 3322-3335. [CrossRef] · DOI
- Cheng, Y.; Han, L.; Shao, L.; Wang, H.; Guo, Z.; Li, G. Comparative investigation on the aroma profiles of edible citrus flowers in the main organs and different developmental stages. Food Chem. X 2024, 23, 101568. [CrossRef] · DOI
- Azam, M.; Song, M.; Fan, F.; Zhang, B.; Xu, Y.; Xu, C.; Chen, K. Comparative analysis of flower volatiles from nine citrus at three blooming stages. Int. J. Mol. Sci. 2013, 14, 22346-22367. [CrossRef] · DOI
- Jiao, R.; Gao, P.; Gao, X. Deeper insight into the volatile profile of rosa willmottiae with headspace solid-phase microextraction and gc-ms analysis. Molecules 2022, 27, 1240. [CrossRef] · DOI
- Goel, M.; Grover, N.; Batra, D.; Garg, N.; Tuwani, R.; Sethupathy, A.; Bagler, G. Flavordb2: An updated database of flavor molecules. J. Food Sci. 2024, 89, 7076-7082. [CrossRef] · DOI
- Jabalpurwala, F.A.; Smoot, J.M.; Rouseff, R.L. A comparison of citrus blossom volatiles. Phytochemistry 2009, 70, 1428-1434. [CrossRef] · DOI
- Fan, J.; Zhang, W.; Zhang, D.; Wang, G.; Cao, F. Flowering stage and daytime affect scent emission of malus ioensis "Prairie rose". Molecules 2019, 24, 2356. [CrossRef] [PubMed] · DOI
- Zhou, Y.; Wang, F.; Wang, Q.; Chen, Y.; Dong, J.; Ye, Y.; Zhu, G.; Fan, Y.; Xu, Y. Diversity of chemical compounds in lily fragrance and identification of key sensory markers. Ind. Crop. Prod. 2024, 222, 120034. [CrossRef] · DOI
- Pan, Y.; Ma, Y.; He, J.; Zhang, L.; Huang, R.; Tang, L.; Ren, J.; Wang, W.; Quinet, M.; Meng, Y. Comprehensive assessment of fragrance profiles in peony flowers through HS-GC-IMS and metabolic pathway analysis. Sci. Hortic. 2024, 338, 113646. [CrossRef] · DOI
- Cai, R.; Tong, C.; Wang, H.; Yu, C.; Sun, M.; He, Z.; Feng, T.; Yao, L. Volatile profile of astragalus sinicus l. Flowers by gc × gc-tof-ms and evaluation of nutraceutical and nutricosmetic potential of the flower extracts. Food Biosci. 2024, 61, 104988. [CrossRef] · DOI
- Zhou, Y.; Wang, Q.; Wei, X.; Gao, T.; Abbas, F.; Yan, F.; He, J.; Yu, Y.; Yu, R.; Fan, Y. Dynamic aromatics: Evaluating fragrance quality shifts and implementation of real-time rapid detection in Hedychium cut flowers during senescence. Postharvest Biol. Technol. 2024, 218, 113193. [CrossRef · DOI
Cited by
Sorted by citations
Thuan, N. N., Quoc, L. P. T., Phuong, L. B. B., & Quyen, P. T. (2026) · Natural Resources for Human Health · doi:10.53365/nrfhh/211518
- Authors
- Chen, Y., Liang, Z., Chen, S., Yan, F., He, J., Zhou, Y., & Gao, T.
- Affiliations
- South China Agricultural University (CN)
- Guangdong Academy of Agricultural Sciences (CN)
- Corresponding author
- Zhou, Yiwei
- Gao, Ting
- Venue
- Separations
- Publisher
- MDPI AG
- Published
- 2024-12-23
- Volume
- 11
- Issue
- 12
- Pages
- 359
- ISSN
- 2297-8739 (ISSN-L)
- OpenAlex
- W4405703892
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- FWCI
- 0.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Separations (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Natural Science Foundation of China (51908228, 19YJCZH013, 2023GZDD05)
- Ministry of education of Humanities and Social Science project (51908228, 19YJCZH013, 2023GZDD05)
- Guangzhou Philosophy and Social Science (51908228, 19YJCZH013, 2023GZDD05)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
- Life Sciences › Agricultural and Biological Sciences › Food Science › Essential Oils and Antimicrobial Activity
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Postharvest Quality and Shelf Life Management
- Keywords
- calamondin, Citrus microcarpa, floral scent, volatile organic compounds, flower development stages, terpenoids, limonene, linalool, β-pinene, germacrene D, β-ocimene, flower senescence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review