Chemometric Analysis for the Evaluation of Phenolic Patterns in Olive

Jan 22, 2015 - (18) In fact, several studies have been made on the health-promoting ..... and a postdoctoral contract to Juan de la Cierva JCI-2012-12...
0 downloads 0 Views 971KB Size
Subscriber access provided by SELCUK UNIV

Article

Chemometric analysis for the evaluation of phenolic patterns in olive leaves from six cultivars at different growth stages Nassima Talhaoui, Ana Maria Gómez-Caravaca, Cristina Roldán, Lorenzo Leon, Raul de la Rosa, Alberto Fernandez-Gutierrez, and Antonio Segura-Carretero J. Agric. Food Chem., Just Accepted Manuscript • Publication Date (Web): 22 Jan 2015 Downloaded from http://pubs.acs.org on January 26, 2015

Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a free service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are accessible to all readers and citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.

Journal of Agricultural and Food Chemistry is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.

Page 1 of 30

Journal of Agricultural and Food Chemistry

Chemometric Analysis for the Evaluation of Phenolic Patterns in Olive Leaves from Six Cultivars at Different Growth Stages

Nassima Talhaoui

1,2

, Ana María Gómez-Caravaca

1,2,*

, Cristina Roldán2, Lorenzo León 3,

Raúl De la Rosa 3, Alberto Fernández- Gutiérrez 1,2, Antonio Segura-Carretero 1,2

1

Department of Analytical Chemistry, University of Granada. Avda. Fuentenueva s/n, 18071

Granada (Spain). 2

Research and Development of Functional Food Centre (CIDAF), PTS Granada, Avda. del

Conocimiento s/n., Edificio Bioregión, 18016 Granada, Spain. 3

IFAPA Centro Alameda del Obispo, Avda Menéndez Pidal, s/n, E-14004 Córdoba, Spain.

* Corresponding autor. Ana Mª Gómez-Caravaca, E-Mail: [email protected]; Tel.: +34-958-637206; Fax: +34-958-637083

1

ACS Paragon Plus Environment

Journal of Agricultural and Food Chemistry

1

Abstract

2

Leaves from six important olive cultivars grown under the same agronomic conditions were

3

collected at four different times from June to December and analyzed by high performance

4

liquid chromatography-diode array detector-time of flight-mass spectrometry (HPLC-DAD-

5

TOF-MS). 28 phenolic compounds were identified and quantified. No qualitative differences

6

were detected among leaves. However, for all cultivars, total concentrations of phenolic

7

compounds decreased from June to August, then increased from October on, and reached

8

higher levels again in December. Principal Component Analysis provided a clear separation

9

of the phenolic content in leaves for different sampling times and cultivars. Hence, the

10

availability of phenolic compounds depends on both the season and the cultivar. June and

11

December seem to be a good time to collect leaves as a source of phenolic compounds.

12

December coincide with the harvest period of olives in the Andalusian region. Thus, in

13

December olive leaves could be valorized efficiently as olive by-products.

14 15

Keywords: Olive leaves, phenolic compounds, HPLC-DAD-TOF-MS, cultivar, sampling

16

time.

2

ACS Paragon Plus Environment

Page 2 of 30

Page 3 of 30

Journal of Agricultural and Food Chemistry

17

INTRODUCTION

18

Secondary metabolites such as phenolic compounds play a key role in plants; defense

19

mechanisms against herbivores and biotic infections 1,2, and also in adaptation to abiotic stress

20

3

21

plant tolerance to salinity 4, and a link has also been established between tolerance to

22

oxidative stress induced by water deficit and a rise in the antioxidant concentration in

23

photosynthetic plants 5,6.

24

The level of phenolics in plants varies extensively; it is affected by many factors that

25

influence phenolic stability, biosynthesis and degradation. These include genetic and

26

physiological factors as well as environmental factors 7. Therefore, the effect of phenolic

27

compounds in plants resistance depends upon their respective biological activities, which in

28

turn can be determined by the particular physico-chemical environments to which the

29

compounds are exposed (high and low temperature, drought, alkalinity, salinity, UV stress,

30

bacteria, fungi, insects, etc) 8,9.

31

The olive tree (Olea europaea L.) is one of the oldest and most characteristic crops in the

32

Mediterranean basin, as 95% of the world’s surface dedicated to olives is concentrated in this

33

area10. Olive trees are considered drought tolerant because trees can survive on shallow soils

34

with little supplemental water beyond winter rainfall that is typical of the Mediterranean

35

climate. This is possible because, as can be observed in several plants of the Mediterranean

36

shrubland biome, the olive tree has developed a series of physiological mechanisms to tolerate

37

drought stress and grow under adverse climatic conditions 11. The most relevant mechanisms

38

are: the regulation of stomata closure and transpiration, the regulation of gas exchange,

39

osmotic adjustment and regulation of the antioxidant system

40

cultivars have shown high resistance to diseases such as Verticillium wilt (caused by

41

Verticillium dahliae) and olive scab (caused by Fusicladium oleagineum). Various studies

. In fact, many studies strongly support the idea that polyphenols play a significant role in

3

ACS Paragon Plus Environment

11,12

. In addition, some olive

Journal of Agricultural and Food Chemistry

Page 4 of 30

42

have related this pathogenic resistance to a multifactorial phenolic component (tyrosol and its

43

derivatives, oleuropein and rutin) 13–15.

44

Spain is one of the world’s leading producer, importer and exporter countries in terms of

45

olives oil and fruit, with a production of 7,820,060 tons. As result of olive processing, a huge

46

quantity of olive by-products are produced annually; just in the Andalusian region around

47

277,063 tons of olive stones, 985,552 tons of olive cake and 432,984 tons of olive leaves and

48

twigs are generated

49

agricultural tradition of the country. Olive leaves are one of those by-products that are used in

50

many areas as animal food

51

antioxidant and bioactive compounds, olive leaves have strong potential to be used in

52

pharmaceutical preparations and as a supplement in the functional food industry

53

several studies have been made on the health-promoting potential of olive leaves due to the

54

phenolic compounds they contain

55

the understanding of the metabolism of some phenolic compounds in olive leaves, or the

56

influence of factors such as water deficit, genetic factor or seasonal period 21–25.

57

In a previous work 26, our group reported the phenolic composition of ‘Sikitita’ (‘Chiquitita’

58

in USA) , a newly bred olive cultivar

59

phenolic compounds and cultivars were considered with the main aim of providing further

60

insights into the evolution of olive leaves phenolic compounds in different olive cultivars

61

during their growth and the olive ripening period under the Andalusian climate. We also

62

highlight the optimal sampling time to use olive leaves as a source of bioactive compounds.

16

. The use of by-products of this crop has long been part of the

17

or energetic biomasses

16

. Furthermore, as a great source of

. Others studies have also been carried out focused on

27

. In the present work an exhaustive number of

MATERIALS AND METHODS

65 66

. In fact,

19,20

63 64

18

Chemicals and reagents 4

ACS Paragon Plus Environment

Page 5 of 30

Journal of Agricultural and Food Chemistry

67

Methanol, the reagent used for extracting the phenolic compounds from the olive- leaves

68

samples, was purchased from Panreac (Barcelona, Spain), and HPLC-grade acetonitrile was

69

purchased from Labscan (Dublin, Ireland). The acetic acid used was of analytical grade

70

(assayed at >99.5%) and was purchased from Fluka (Switzerland). Water was purified using a

71

Milli-Q system (Millipore, Bedford, MA, USA). Standard compounds such as

72

hydroxytyrosol, tyrosol, luteolin, and apigenin were purchased from Sigma-Aldrich (St.

73

Louis, MO, USA), and oleuropein from Extrasynthèse (Lyon, France). The stock solutions

74

containing these analytes were prepared in methanol. All chemicals were of analytical reagent

75

grade and used as received. All the solutions were stored in a dark flask at -20 °C until use.

76 77

Samples

78

Olive leaves (Olea europaea L.) from cultivars ‘Arbequina’, ‘Arbosana’, ‘Changlot Real’,

79

‘Koroneiki’, ‘Picual’ and ‘Sikitita’ were used in this study. These cultivars were selected as

80

some of the most widely used in new orchards currently in Spain, highly productive, well

81

adapted to modern olive growing techniques and initially originated in different areas:

82

‘Arbequina’ and ‘Arbosana’ from Catalonia (Spain), ‘Changlot Real’ from Valencia (Spain),

83

‘Picual’ from Andalusia (Spain), ‘Koroneiki’ (Greece), and “Sikitita”, a new Spanish cultivar

84

from cross-breeding between ‘Arbequina’ and ‘Picual’. All cultivars were grown under the

85

same agronomic and environmental conditions in the same olive orchards located at “IFAPA,

86

Centro Alameda del Obispo” in Córdoba, Spain (37°51'36.5"N 4°47'53.7"W). Samples were

87

processed at four times: mid-June (fruit-set), mid-August, mid-October and mid-December

88

(fruit-ripening) in 2012. Adult leaves were collected from three individuals of each cultivar,

89

in five years old trees of these cultivars planted at 7 x 5 m spacing and trained as single-trunk

90

vase. Standard cultural practices were followed, with minimal pruning to allow early bearing

91

and irrigation by in-line drips with 2000 m3/ha per year to avoid water stress of plants. All the 5

ACS Paragon Plus Environment

Journal of Agricultural and Food Chemistry

Page 6 of 30

92

leaves collected from the same tree were pooled in a unique sample, immediately transferred

93

to the laboratory, and dried outdoors. Finally, samples were stored at -80 ºC until needed.

94 95

Extraction of phenolic compounds from olive leaves

96

Sample extraction was performed as described previously by Talhaoui et al.

97

leaves (0.5 g) were crushed and extracted via Ultra-Turrax IKA® T18 basic using 30 mL of

98

MeOH/H2O (80/20). After solvent evaporation, the extracts were reconstituted with 2 mL of

99

MeOH/H2O (50/50). Three replicates of each sample were processed.

26

. Briefly, dry

100 101

Determination of phenolic compounds by HPLC-DAD-TOF-MS

102

Phenolic compounds were separated by a Poroshell 120 EC-C18 analytical column (4.6 × 100

103

mm, 2.7 µm) from Agilent Technologies, on an Agilent 1200 series Rapid Resolution Liquid

104

Chromatograph (Agilent Technologies, CA, USA). The gradient eluent, at flow rate of 0.8

105

mL/min, was achieved using the method previously described by Talhaoui et al.

106

column temperature was maintained at 25 °C and the injection volume was 2.5 µL.

107

The HPLC system with diode-array detection was coupled to a micrOTOF (Bruker Daltonics,

108

Bremen, Germany), an orthogonal-accelerated TOF mass spectrometer, using an electrospray

109

interface (model G1607A from Agilent Technologies, Palo Alto, CA, USA). The effluent

110

from the HPLC column was split using a T-type phase separator before being introduced into

111

the mass spectrometer (split ratio = 1:3). Analysis parameters were set using a negative-ion

112

mode with spectra acquired over a mass range from m/z 50 to 1000. The optimum values of

113

the ESI-MS parameters were: capillary voltage, +4.5 kV; drying gas temperature, 190 °C;

114

drying gas flow, 9.0 L/min; and nebulizing gas pressure, 2 bars. The accurate mass data on the

115

molecular ions was processed through the newest Data Analysis 4.0 software (Bruker

116

Daltonics, Bremen, Germany), which provided a list of possible elemental formulae via the 6

ACS Paragon Plus Environment

26

. The

Page 7 of 30

Journal of Agricultural and Food Chemistry

117

Smart Formula Editor. The Smart Formula Editor uses a CHNO algorithm, which provides

118

standard functionalities such as minimum/maximum elemental range, electron configuration

119

and ring-plus double-bond equivalents, as well as a sophisticated comparison of the

120

theoretical with the measured isotope pattern (Sigma Value) for increased confidence in the

121

suggested molecular formula. Peak areas of phenolic compounds were integrated using

122

Bruker Compass Target Analysis 1.2 software for compound screening (Bruker Daltonics,

123

Bremen, Germany). All phenolic compounds showed good levels for quantification in the

124

various samples on each date of sampling. Five standard calibration graphs were prepared for

125

quantification of the phenolic compounds in the olive leaves using five commercial standards

126

(oleuropein, hydroxytyrosol, tyrosol, apigenin, and luteolin).

127 128

Statistical analysis

129

All assays were run in triplicate. Values of different results were expressed as the means mg/g

130

olive leaves. Results were tested for statistical significance by one-way ANOVA. Significant

131

statistical differences among treatments (p