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Carotenoid Targeted Metabolomics

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Carotenoid Targeted Metabolomics

Delivering absolute quantification of a wide-coverage of 68 carotenoid compounds from wide varieties of species and tissue types. 

Technology Introduction

Carotenoids serve various essential functions in plants. Apart from imparting diverse colors, they act as antenna pigments vital for photosynthesis, play crucial roles as photoprotective molecules, and serve as precursors for the synthesis of plant hormones.

 

Carotenoids have significant implications for human health. They are important for the synthesis of vitamin A and have antioxidative properties, which can reduce the risk of cardiovascular diseases and various types of cancer.

 

MetwareBio has developed a sensitive detection method that accurately quantifies 68 carotenoids. This assay is perfect for studying pigment development in plants, food nutrition and antioxidant properties, and the regulation of carotenoid biosynthesis. MetwareBio has collaborated on over 1000 projects involving 300+ species in plant research. Speak to us regarding your plant research and how metabolomics can be applied.


Carotenoid-biosynthetic-pathway.jpg

Benefits of Carotenoid Assay:

  • Quantitative accuracy: Quantification using external standard method, linear standard curve > 0.99.

  • Broad coverage: 68 carotenoids, including lycopene, β-carotene, octahydrolycopene, lutein, and others. Contact us for a full list.

  • High sensitivity: Detection at ng/mL level.

  • Rich experience: Participated on more than 1000 projects covering 300+ species and published in Nature Communications, The Plant Journal, Food Chemistry and others.


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Databases

NO.

Compounds

NO.

Compounds

NO.

Compounds

1

α-carotene

24

rubixanthin laurate

47

zeaxanthin-myristate-palmitate

2

lycopene

25

rubixanthin myristate

48

zeaxanthin dipalmitate

3

γ-carotene

26

rubixanthin palmitate

49

zeaxanthin-palmitate-stearate

4

β-carotene

27

violaxanthin dibutyrate

50

zeaxanthin-oleate-palmitate

5

phytofluene

28

violaxanthin laurate

51

β-cryptoxanthin laurate

6

(E/Z)-phytoene

29

violaxanthin myristate

52

β-cryptoxanthin myristate

7

ε-carotene

30

violaxanthin palmitate

53

β-cryptoxanthin palmitate

8

antheraxanthin dipalmitate

31

violaxanthin palmitoleate

54

β-cryptoxanthin oleate

9

lutein caprate

32

violaxanthin dilaurate

55

antheraxanthin

10

lutein laurate

33

violaxanthin-myristate-caprate

56

zeaxanthin

11

lutein myristate

34

violaxanthin-myristate-laurate

57

violaxanthin

12

lutein palmitate

35

violaxanthin dimyristate

58

neoxanthin

13

lutein stearate

36

violaxanthin-myristate-palmitate

59

lutein

14

5,6epoxy-luttein dilaurate

37

violaxanthin dipalmitate

60

β-cryptoxanthin

15

lutein dilaurate

38

violaxanthin-myristate-oleate

61

astaxanthin

16

5,6epoxy-lutein-caprate-palmitate

39

violaxanthin dioleate

62

8'-apo-beta-carotenal

17

lutein dimyristate

40

zeaxanthin myristoleate

63

capsanthin

18

lutein dipalmitate

41

zeaxanthin palmitate

64

α-cryptoxanthin

19

lutein distearate

42

zeaxanthin-caprate-laurate

65

capsorubin

20

lutein dioleate

43

zeaxanthin dilaurate

66

canthaxanthin

21

lutein oleate

44

zeaxanthin-laurate-myristate

67

echinenone

22

neochrome palmitate

45

zeaxanthin dimyristate

68

β-citraurin

23

rubixanthin caprate

46

zeaxanthin-laurate-palmitate




Analysis Method and Instrumentation: LC-MS/MS(SCEX Triple Quad 6500+)

Publications

1. Molecular mechanism study on coloring of fruits, vegetables, and flowers

Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits, and anti-inflammatory effects.

Li et al. Mol Plant. 2022; 15(8):1367-1383.


2. Study on the regulation of carotenoid synthesis

The histone variant Sl_H2A.Z regulates carotenoid biosynthesis and gene expression during tomato fruit ripening.

Yang et al., Hortic Res. 2021;8(1):85.


3. Molecular mechanism study on quality of fruits, vegetables

Carotenoids modulate kernel texture in maize by influencing amyloplast envelope integrity.

Wang et al., 2020.Nat Commun. 2020; 11(1):5346.


Sample Requirements


Sample type

Minimum Sample

Minimum Risk Sample Size

Biological Repetition

Plant tissues 

Stems, buds, nodes, leaves, flowers, fruits, roots, healing tissues

600mg

300mg

3-6




WHAT'S NEXT IN OMICS: THE METABOLOME
WHAT'S NEXT IN OMICS: THE METABOLOME

Please submit a detailed description of your project. We will provide you with a customized project plan metabolomics services to meet your research requests. You can also send emails directly to support-global@metwarebio.com for inquiries.