In this study, we collected and prepared ethanol extracts from 30 vegetable and fruit by-products.
The extracts were screened on antioxidant activities using three methods including determination
of total phenolic content (TPC), DPPH free radical scavenging assay (DPPH assay), and ferric
reducing/antioxidant power (FRAP) assay. The extracts prepared ginger skin (TN-17) and coffee
sediment (TN-16) showed strong activity. The total phenolic contents in ginger skin and coffee
sediment extracts were 146.52 mgGAE/g and 66.14 mgGAE/g, respectively. For the DPPH
assay, the IC50 showed the values of 16.73 µg/mL with ginger skin extract and 33.57 µg/mL with
coffee sediment extract. For the FRAP, at the highest sample concentration (1.0 µg/mL), a
significant difference about absorbance was observed between all samples (p<0.05). In addition,
both ginger skin and coffee sediment showed significant higher activity than others samples
(p<0.05). TN-16 was selected for further identification of constituents by HPLC-EIS-MS
method. 15 compounds may present in coffee grounds extract namely, metiamide, manitol, 3-
amino phenol, malicyamide, phenyl ethanolamine, 3-methoxyamphetamine, caffeine, nisoldipine,
doxenitoin, dicyclohexyl phthalate, febuprol, 2.4 xylidine, glycerol 2-palmitate, 4-(benzylamino)
phenol, o-toluidine.
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335
SCREENING ON ANTIOXIDANT ACTIVITY OF VEGETABLE AND
FRUIT BY-PRODUCTS
Ha Thi Hue; *Phan Thi Anh Dao
HCMC University of Technology and Education
Email: *daopta@hcmute.edu.vn
ABSTRACT
In this study, we collected and prepared ethanol extracts from 30 vegetable and fruit by-products.
The extracts were screened on antioxidant activities using three methods including determination
of total phenolic content (TPC), DPPH free radical scavenging assay (DPPH assay), and ferric
reducing/antioxidant power (FRAP) assay. The extracts prepared ginger skin (TN-17) and coffee
sediment (TN-16) showed strong activity. The total phenolic contents in ginger skin and coffee
sediment extracts were 146.52 mgGAE/g and 66.14 mgGAE/g, respectively. For the DPPH
assay, the IC50 showed the values of 16.73 µg/mL with ginger skin extract and 33.57 µg/mL with
coffee sediment extract. For the FRAP, at the highest sample concentration (1.0 µg/mL), a
significant difference about absorbance was observed between all samples (p<0.05). In addition,
both ginger skin and coffee sediment showed significant higher activity than others samples
(p<0.05). TN-16 was selected for further identification of constituents by HPLC-EIS-MS
method. 15 compounds may present in coffee grounds extract namely, metiamide, manitol, 3-
amino phenol, malicyamide, phenyl ethanolamine, 3-methoxyamphetamine, caffeine, nisoldipine,
doxenitoin, dicyclohexyl phthalate, febuprol, 2.4 xylidine, glycerol 2-palmitate, 4-(benzylamino)
phenol, o-toluidine.
Key words: Natural antioxidant, DPPH, TPC, FRAP, by-product, coffee sediment.
INTRODUCTION
Although oxygen is necessary for aerobic life, it can also participate in potentially toxic reactions
involving oxygen free radicals or reactive oxygen species (ROS). Free radicals are formed in the
human body to prevent from virus and bacterial infections. However, they react with
macromolecules including protein, lipid, DNA causing serious diseases such as heart disease,
macular degeneration, cancer, diabetes, and more. Therefore, antioxidant substances are required
for the protection against the oxidizing agents. Many synthetic antioxidant compounds have
shown toxic and/or mutagenic effects, which have stimulated the interest of many investigators to
search natural antioxidant (Nagulendran et al., 2007).
Most of the waste in the processing and processing of fruits and vegetables are: nuts, leaves,
stems, bark and roots contain high value natural compounds, good for human health (Chala
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336
Gowe, 2015). The fruit and vegetable by-products should be used as a potential source of natural
antioxidants compounds. Besides, the utilization of these by-products contributes significantly to
reducing the amount of waste, and to enhance the environmental protection of the fruit and
vegetable processing industry. The by-products can be processed into functional food rather than
being discarded (Chala Gowe, 2015).
Vietnam, a tropical Southeast Asian country, has extremely rich cuisine and food. Hence, there
are a great amount of by-products here. Therefore, we selected 30 by-products casually to
investigate their antioxidant activity by using different antioxidant tests, including DPPH free
radical scavenging assay, Ferric reducing/antioxidant power (FRAP) assay and determination of
total phenolics contents. We hope that the selected by-products could be a potential source of
natural antioxidants that could have great importance as therapeutic agents in preventing or
slowing the progress of aging and age associated and oxidative stress related degenerative
diseases.
METERIALS AND METHODS
Samples: By-products were obtained from the shops at Long Phuoc Market, District 9 in August
2017. The voucher specimens (number sample on table 1) is preserved at the Department of Food
Technology of the HCMC of Technology and Education.
Chemicals
2, 2 – Diphenyl – 1 – picrylhydrazyl (DPPH) were purchased from Merck (Darmstadt, Germany).
Gallic acid and Folin-Ciocalteu were purchased from Sigma Chem. Co. Ethanol solvent (EtOH),
Potassium hexacyanoferrate K3[Fe(CN)6], acid trichloroacetic (TCA), ferric chloride (FeCl3),
Na2CO3 were purchased from China.
Preparation of samples:
The by-products were cleaned with water to remove other impurities and cut into small pieces
(100-200g). Then they were dried at 60 (this temperature does not affect the antioxidant
compounds). After drying, the by-products were ground into fine powder and soaking extracted
at room temperature with EtOH for 4 days. The mixtures were filtered and added new solvent
each one days. The EtOH solution was evaporated under reduced pressure to give ethanol extract.
The extracted powder were stored in a sealed box and covered with silver foil to prevent light.
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Table 1: The list of 30 by-products and results of DPPH assay and TPC
Sign Local name Scientific name Family
Part
Used
IC50
(μg/mL)
TPC
(mgGAE/g)
TN- 1 Soy Bean Glycine max Fabaceae Sediment > 50 18.56 ± 0.45h
TN- 2 Carrot Daucus carota Apiaceae Sediment > 50 2.67 ± 0.2a
TN- 3 Corn Zea mays Poaceae Core > 50 11.31 ± 0.44ef
TN- 4 Guava Psidium guajava Myrtaceae Seed > 50 12.56 ± 0.84fg
TN- 5 Pine-apple Ananas comosus Bromeliceae Peel > 50 6.45 ± 0.57bc
TN- 6 Pine-apple Ananas comosus Bromeliceae Sediment > 50 12.16 ± 0.24fg
TN- 7 Guava Psidium guajava Myrtaceae Peel > 50 12.72 ± 0.28fg
TN- 8 Kumquat Citrus japonica Citruseae Sediment > 50 55.74 ± 1.84n
TN- 9 Tomato
Solanum
lycopersicum
Solanaceae Sediment > 50 25.67 ± 0.65j
TN- 10 Wet rice Oryza sativa Poaceae
Peel
brain
> 50 12 ± 0.21f
TN- 11
Sticky
pineapple
leaves
Pandanus
amaryllifolia
Roxb
Pandanacese Sediment > 50 21.72 ± 1.64i
TN- 12 Green Bean Vigna radiata Fabaceae Sediment > 50 10.16 ± 0.13def
TN- 13 Grapes Vitis vinifera Vitidaceae Sediment > 50 18.84 ± 1.33hi
TN- 14 Dragon fruit
Hylocereus
undatus
Hylocereusease Peel > 50 37.53 ± 0.48m
TN- 15 Aloe vera Aloe vera Asphodelaceae Peel > 50 20.39 ± 1.33hi
TN- 16 Coffee Coffea arabica Rubiaceae Sediment <50 66.14 ± 1.15p
TN- 17 Ginger
Zingiber
officinale
Zingiberaceae Peel <50
146.52 ±
1.86q
TN- 18 Logan
Dimocarpus
longan
Sapindaceae Seed > 50 33.63 ± 0.38l
TN- 19 Mandarin
Citrus reticulata
Blanco
Rutaceae Peel > 50 30.35 ± 0.16k
TN- 20 Grapes Vitis vinifera Vitidaceae Peel > 50 8.62 ± 0.13cde
TN- 21 Passion fruit
Passiflora
incarnata
Passiflora Peel > 50 61.5 ± 3.02o
TN- 22 Gac fruit
Momordica
cochinchinensis
Cucurbitaceae Peel <50 26.4 ± 0.6j
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Sign Local name Scientific name Family
Part
Used
IC50
(μg/mL)
TPC
(mgGAE/g)
TN- 23 Grapefruit Citrus maxima Rutaceae Peel > 50 5.78 ± 0.17bc
TN- 24
Vietnam's
Apple
Ziziphus
mauritiana
Rhamnaceae Seed > 50 25.17 ± 0.18i
TN- 25 Watermelon Citrullus lanatus Cucurbitaceae Peel > 50 12.95 ± 0.27fg
TN- 26 Sapodilla
Manilkara
zapota
Sapotaceae Peel > 50 15.06 ± 0.57g
TN- 27 Sapodilla
Manilkara
zapota
Sapotaceae Seed > 50 25.49 ± 0.17j
TN- 28 Star apple
Chrysophyllum
cainino
Sapotaceae Peel > 50 7.75 ± 0.2cd
TN- 29 Ambarella Spondias dulcis Anacardiaceae Peel > 50 11.32 ± 0.14ef
TN- 30 Banana Musa basloo Musacae Peel > 50 4.33 ± 0.03ab
Values are expressed as mean ± standard deviation (n = 3). Means with different letters in each
column indicate statistically significant differences between treatments for the same species
according to Duncan’s multiple range test (p < 0.05).
DPPH free radical scavenging assay
The stable DPPH free radical was used for determination of free radical scavenging activity of
the extracts (P. Molyneux et al, 2004). Briefly, a 0.1 mM solution of DPPH in 90% ethanol was
prepared and then 1.5 mL of this solution was mixed with 1.5 mL of each sample (crude extract)
at concentrations of 100, 50, 25, 10μg/mL in 90% ethanol. After 30 min incubation in the dark,
the decrease in the solution absorbance was measured at 517 nm by Hitachi UH-530
spectrophotometer (Japan). DPPH inhibitory activity was expressed as the percentage inhibition
(I%) of DPPH in the above assay system, calculated as (1−B/A) x100, where A and B are the
activities of the DPPH without and with test material. IC50 (inhibitory concentration, 50%) values
were calculated from the mean values of data from three determinations. Vitamin C at various
concentrations (1.0, 2.5, 5.0, 10.0 μM) was used as a positive control.
Dertemination of the total phenolic content
The total phenolic content (TPC) was determined using the Folin– Ciocalteu reagent. The
experimental procedure based on the method of Velioglu et al. 1998, along with some changes to
suit the experimental conditions (Velioglu et al. 1998). Firstly, 1300 μL of sample solutions
mixed with 1000 μL of Folin-Ciocaltue reagent (1:5) and incubated for 5 minutes. Then, 700 μL
of Na2CO3 1M solution were added and mixed thoroughly. After 30 minutes of incubation in the
dark, the absorption of samples was measured at 730 nm wavelength. Results were expressed as
mg gallic acid equivalents in 1 g of dried sample (mg GAE/g), which is based on the standard
curves at concentrations of 1, 2, 4, 6, 8, 10, 15 and 20 μg. / mL (R2 = 0.9976).
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Ferric reducing/antioxidant power (FRAP) assay
The FRAP assay is a method of measuring the ability of reductants to reduce Fe3+ –Fe2+. The
process of reducing Fe (III) is used to indicate the ability of giving electrons of antioxidants such
as polyphenols. The experimental procedure based on the method of Benzie, 1999 (Benzie et al,
1999). Extracts (0.1, 0.5 and 1 mg) were mixed with 1.0 mL 2.0 M phosphate (pH 6.6) and 1 mL
potassium ferricyanide 1%. The mixture was incubated at 50°C for 20 minutes. Then 1 mL of
10% trichloroacetic acid was added and centrifuged at 2000×g for 10 minutes. The top of the
solution (1 mL) was mixed with distilled water (1 mL) and (0.2 mL) ferric chloride 0.1%. The
absorption was measured at 700 nm wavelength.
HPLC -EIS-MS analysis of coffee grounds extract
RP-HPLC was performed to determinate compounds present in the ethanol extract prepared
coffee sediment (TN-16). The separation module consisted of Agilent 1200 series HPLC (USA)
equipped with ESI-MS system (micrOTOF-QII Bruker Daltonic, Germany). The samples was
eluted on a column ACE3- C18 (4.6 150 mm, 3.5 µm, Merck, Germany) with a gradient system
consisting of solvent A (0.1% formic acid in water) and solvent B (0.1% formic acid in methanol)
used as the mobile phase, with a flow rate of 0.5 mL/min. The temperature of the column was
maintained at 40 and the injection volume 20 µL. For ESI-MS, full scan mass spectra were
measured between m/z 150 and 2000. High purity nitrogen was used as nebulizer gas at 1.2 bar,
200°C and at a flow rate of 0.8 mL/min.
RESULT AND DISCUSSION
Dertemination of the total phenolic content
The total polyphenol contents in the extract samples were shown in Table 1. The values of total
polyphenol content of the samples were from 2.67 to 146.52 mgGAE/g. The extract from ginger
skin (TN-17) showed the highest value of total polyphenol content (146.52 mgGAE/g), following
by the extract from coffee sediment (TN-16) and kumquat skin (TN-8) with 66.14 mgGAE/g and
55.74mgGAE/g, respectively. The lowest values of total polyphenol content belonged to the
extract from carrot sediment (TN-2) with 2.67 mgGAE/g. In general, the values of total
polyphenol content in the extract samples showed significant difference (p<0.05).
DPPH free radical scavenging assay
Table 1 shows the results of the antioxidant activity assay, which are shown IC50 values of 30
by-product extract samples. Based on the stable free radical (DPPH), the highest antioxidants
activity were ginger skins (TN-17) and coffee sediment extracts (TN-16) with IC50 at
16.73 μg/mL and 33.57 μg/mL, respectively. The following high antioxidant activity extract
was the Gac fruit (TN-22) with IC50 at 44.58 μg/mL. The weak antioxidant active samples were
soybeans sediment, carrots sediment, corncobs, guava seeds and pineapples sediment. These
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samples inhibited only less than 10% of DPPH at concentrations of 50 μg/mL. The positive
control was gallic acid with an IC50 value at 7.18 μM.
The correlation between antioxidant capacity and total phenolic content in foods has been
extensively studied (Shan et al., 2005; Velioglu et al., 1998). According to a study by Panusa et
al., 2013, the values of antioxidant activity in the DPPH test correlate with the total polyphenol
content in coffee grounds under different extraction conditions. Two sample extracts ginger skin
(TN-17) and coffee sediment (TN-16) not only DPPH high inhibitory activity but also contains
phenolic content.
Ferric reducing/antioxidant power (FRAP) assay
The reduction potential of the samples increased with increasing of sample concentration levels
were shown in Table 2. At the highest sample concentration (1.0 mg), there was a significant
difference between the two most active samples, ginger skin (TN-17) and coffee sediment (TN-
16) (p<0.05). By increasing the concentration, the optical absorbance values of the incremental
samples increase (statistically significant differences). The higher the concentration, the greater
the reduction capacity and the stronger the antioxidant activity (table 2). When comparing
between the extracts with one another, in the same concentration, the ginger skin (TN-17)
showed the ability to reduce Fe3+ to Fe2 + was rather high and higher than that of the other
samples. Specifically, at the highest sample concentration of 1 μg/mL, TN-17 samples had the
highest optical absorption (2.004) and significant differences with the other samples; TN-1
samples had the lowest optical absorption (0.331).
Table 2: Absorption at 700 nm wavelengths of 30 extracts
Sign Local name 0.1 g/mL 0.5 g/mL 1.0 g/mL
TN- 1 Soy Bean 0.104 ± 0.003b 0.209 ± 0.005cd 0.331 ± 0.005bc
TN- 2 Carrot 0.057 ± 0.001a 0.148 ± 0.007b 0.407 ± 0.008d
TN- 3 Corn 0.121 ± 0.004bcd 0.228 ± 0.005cde 0.504 ± 0.009e
TN- 4 Guava 0.128 ± 0.007cde 0.317 ± 0.006f 0.548 ± 0.012f
TN- 5 Pine-apple 0.113 ± 0.009bc 0.249 ± 0.005de 0.417 ± 0.003d
TN- 6 Pine-apple 0.107 ± 0.004bc 0.215 ± 0.002cd 0.551 ± 0.005f
TN- 7 Guava 0.103 ± 0.003b 0.234 ± 0.008cde 0.402 ± 0.011d
TN- 8 Kumquat 0.189 ± 0.009gh 0.472 ± 0.004h 0.779 ± 0.01i
TN- 9 Tomato 0.046 ± 0.002a 0.237 ± 0.006de 0.428 ± 0.008d
TN- 10 Wet rice 0.103 ± 0.003b 0.218 ± 0.005cd 0.36 ± 0.004c
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Sign Local name 0.1 g/mL 0.5 g/mL 1.0 g/mL
TN- 11 Sticky pineapple leaves 0.129 ± 0.004cde 0.329 ± 0.009f 0.414 ± 0.004d
TN- 12 Green Bean 0.208 ± 0.009h 0.523 ± 0.005ij 0.738 ± 0.003h
TN- 13 Grapes 0.147 ± 0.002ef 0.35 ± 0.003f 0.557 ± 0.004f
TN- 14 Dragon fruit 0.046 ± 0.001a 0.053 ± 0.002a 0.066 ± 0.002a
TN- 15 Aloe vera 0.167 ± 0.002fg 0.526 ± 0.001j 0.793 ± 0.01ij
TN- 16 Coffee 0.264 ± 0.002i 0.814 ± 0.002m 1.063 ± 0.001l
TN- 17 Ginger 0.51 ± 0.003kl 1.49 ± 0.004n 2.004 ± 0.0260
TN- 18 Logan 0.489 ± 0.01k 1.106 ± 0.047o 1.574 ± 0.009m
TN- 19 Mandarin 0.532 ± 0.004l 1.298 ± 0.005p 1.266 ± 0.01n
TN- 20 Grapes 0.141 ± 0.005de 0.263 ± 0.004e 0.538 ± 0.008ef
TN- 21 Passion fruit 0.204 ± 0.003h 0.524 ± 0.029j 0.824 ± 0.04j
TN- 22 Gac fruit 0.5 ± 0.014k 0.681 ± 0.023l 0.873 ± 0.006k
TN- 23 Grapefruit 0.331 ± 0.005j 0.481 ± 0.006hi 0.668 ± 0.017g
TN- 24 Vietnam's Apple 0.28 ± 0.006i 0.348 ± 0.006f 0.546 ± 0.006f
TN- 25 Watermelon 0.1 ± 0.007b 0.194 ± 0.008c 0.305 ± 0.001b
TN- 26 Sapodilla 0.262 ± 0.01i 0.493 ± 0.01hij 0.643 ± 0.006g
TN- 27 Sapodilla 0.282 ± 0.008i 0.527 ± 0.004j 0.647 ± 0.005g
TN- 28 Star apple 0.279 ± 0.018i 0.395 ± 0.013g 0.501 ± 0.017e
TN- 29 Ambarella 0.336 ± 0.011j 0.603 ± 0.025k 0.764 ± 0.013hi
TN- 30 Banana 0.179 ± 0.003g 0.337 ± 0.01f 0.558 ± 0.01f
Reducing properties is related to the presence of strong reducing agents in the acid as well as in
the neutral and alkaline environments (Negi, P. S.et al, 2005). The antioxidant activity of the
strong reducing agents is attributed to the breakdown of free radicals by the release of a hydrogen
atom (Gordon, M. H. 1990). This suggests that antioxidant properties coincide with an increase in
reducing capacity. Therefore, the strong antioxidant activity of the extract from the ginger shell
and coffee grounds may have a correlation with the reducing capacity of the extracts
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Chemical composition of coffee sediment
Fifteen compounds have been identified in TN-16 by high performance liquid chromatography
with MS probes (table 3).
Table 3: Identification of 15 compounds in coffee by HPLC-ESI-MS
No. Compounds [M-H]- (m/z) Predicted formula
1 Metiamide 245,0871 C9H16 N4 S2
2 Manitol 205,0683 C6H14O6
3 3-amino phenol 110,0601 C6H7NO
4 Salicyamide 138,0551 C7H7NO2
5 Phenyl ethanolamine 138,0919 C8H11NO
6 3- Methoxyamphetamine 166,1225 C10H5NO
7 Caffeine 217,0696 C8H10N4O2
8 Nisoldipine 411,1502 C20H24N2O6
9 Doxenitoin 239,1179 C15H14N2O
10 Dicyclohexyl phthalate 331,1908 C20H26O4
11 Febuprol 225,1485 C13H20O3
12 2,4 Xylidine 122,0965 C8H11N
13 Glycerol 2-palmitate 330,2773 C19H38O4
14 4-(Benzylamino) phenol 200,1069 C13H13NO
15 o-Toluidine 108,0808 C7H9N
Among them, 3-amino phenol, Salicyamide, Phenyl ethanolamine, Caffeine, and 4-
(Benzylamino) phenol belong to phenolic group. In particular, caffeine is a strong antioxidant
compound. The high levels of chlorogenic acid and caffeine in coffee grounds suggest the
potential for using them as a natural source of antioxidants. (Panus et al., 2013).
CONCLUSIONS
In conclusion, we have carried out a systematic investigation of vegetable and fruit by-product
for DPPH assay, determination phenolic content and ferric reducing/antioxidant power (FRAP)
assay. The results indicate a number of by-products that may be useful for the treatment of
diseases relating free radical damages such as, ginger skin, coffee sediment, Gac skin and
Ambarella skin. In commerce, coffee sediment is very abundant and low-cost raw materials
source thus, the potential for using the by-product as a natural source of antioxidants is going to
be helpful.
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REFERENCES
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[2] CHALA GOWE, 2015. Review on Potential Use of Fruit and Vegetables By-Products as A
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[5] BENZIE, I. F., & STRAIN, J. J. (1999). Ferric reducing/antioxidant power assay: Direct
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Methods in enzymology (Vol. 299, pp. 15-27). Academic Press.
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(2013). Recovery of natural antioxidants from spent coffee grounds. Journal of agricultural
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[10] NEGI, P. S., CHAUHAN, A. S., SADIA, G. A., ROHINISHREE, Y. S., & RAMTEKE, R.
S. (2005). Antioxidant and antibacterial activities of various seabuckthorn (Hippophae
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TÓM TẮT
Trong nghiên cứu này, chúng tôi tiến hành thu thập và điều chế các mẫu cao trích ethanol từ 30
loại phụ phẩm rau củ, bã ép. Sàng lọc hoạt tính chống oxy hóa của các mẫu cao bằng ba phương
pháp thử là ức chế gốc tự do DPPH (phép thử DPPH), xác định tổng hàm lượng phenol (TPC) và
xác định năng lực khử sắt (FRAC), nhận thấy mẫu cao trích từ vỏ gừng (TN-17) và bã cà phê
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(TN-16) là những mẫu thể hiện hoạt tính mạnh. Hàm lượng phenol tổng trong cao trích vỏ gừng,
bã cà phê lần lượt là: 146,52 mgGAE/g và 66,14 mgGAE/g. Giá trị IC50 trong phép thử DPPH
của hai mẫu TN-17 và TN-16 lần lượt là 16,73 µg/mL và 33,57 µg/mL. Đối với xác định năng
lực khử thì tại nồng độ mẫu cao nhất (1,0 µg/mL) có sự khác biệt đáng kể giữa hai mẫu có hoạt
tính mạnh nhất là vỏ gừng và bã cà phê (p< 0,05) và giá trị độ hấp thu quang của hai mẫu này cao
hơn nhiều so với các mẫu còn lại (p < 0,05). Mẫu TN-16 được lựa chọn để phân tích thành phần
hóa học bằng phương pháp HPLC-EIS-MS. 15 hợp chất trong mẫu cao trích từ bã cà phê đã được
định danh là: Metiamide, Manitol, 3-amino phenol, Salicyamide, Phenyl ethanolamine, 3-
Methoxyamphetamine, Caffeine, Nisoldipine, Doxenitoin, Dicyclohexyl phthalate, Febuprol, 2,4
Xylidine, Glycerol 2-palmitate, 4-(Benzylamino) phenol, o-Toluidine.
Từ khóa: Chất chống oxy hóa tự nhiên, DPPH, TPC, FRA assay, phụ phẩm, bã cà phê.
Các file đính kèm theo tài liệu này:
- screening_on_antioxidant_activity_of_vegetable_and_fruit_by.pdf