Reach Us +3225889658
A Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Determination of Pesticide Residues in Tender Coconut Water (elaneer/nariyal pani) | OMICS International
ISSN: 2157-7064
Journal of Chromatography & Separation Techniques

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business

A Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Determination of Pesticide Residues in Tender Coconut Water (elaneer/nariyal pani)

Paranthaman R* and Kumaravel S

Department of Food Safety and Quality Testing, Indian Institute of Crop Processing Technology, Thanjavur- 613 005, Tamil Nadu, India

*Corresponding Author:
Paranthaman R
Department of Food Safety and Quality Testing
Indian Institute of Crop Processing Technology
Thanjavur- 613005, Tamil Nadu, India
Tel: 91-04362228155
E-mail: [email protected]

Received Date: December 04, 2013; Accepted Date: December 28, 2013; Published Date: December 31, 2013

Citation: Paranthaman R, Kumaravel S (2013) A Reversed-Phase High- Performance Liquid Chromatography (RP-HPLC) Determination of Pesticide Residues in Tender Coconut Water (elaneer/nariyal pani). J Chromatograph Separat Techniq 4:208. doi: 10.4172/2157-7064.1000208

Copyright: © 2013 Paranthaman R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Chromatography & Separation Techniques


The occurrence of Monochrotophos, Copperoxychloride and Galaxy pesticides in 10 tender coconut water samples (Arasampattai, Sowcot pachai, kuttyaiadi (Kerala),Malayan orange, Malayan yellow, Alphanam, sowchot orange, Nettai, Kuttai and 1000 kaychi) in southern area of Tamilnadu, India was investigated. The HPLC results shows that the monochrotophos was found Malayan orange (5.847 mg kg-1) and it was above the Maximum Residual Limit (MRL (0.5-1.0 mg kg-1) and Malayan yellow (0.003 mg kg-1) and Nettai (0.323 mg kg-1) were below the Maximum Residual Limit. In Malayan yellow tender coconut samples copper oxychloride was found (0.003 mg kg-1) below the MRL value (20.0 mg kg-1). Analysis was carried out using HPLC-UV.


Pesticide residue; Monochrotophos; Copperoxychloride; Tender coconut water; RP- HPLC -UV


Coconut (Cocos nucifera L.) has been the focus of increased international attention as a functional ingredient in fruit juices, beverage blends, dietary supplements, and dairy [1]. Tender coconut water (elaneer/nariyal pani) is a rich source of nutrients. It is high in electrolytes, chlorides, potassium, and magnesium and has a moderate amount of sugar, sodium and protein. Coconut water is also a good source of dietary fibre, manganese, calcium, riboflavin and vitamin C. Coconut water is ideal in preventing dehydration, especially when children get diarrhoea. It replenishes the natural salts lost by the body. In the hot summer months, when your toddler is thirsty, coconut water is much more beneficial than packaged fruit juices and aerated drinks which only contain empty calories. The extraction and quantification of pesticide residues in food matrix mostly involved liquid-liquid extraction with a great variety of solvents and adsorbents for clean up. Analytical techniques such as Gas Chromatography (GC) and High Performance Liquid Chromatography (HPLC) are widely used to monitor the presence of these compounds in water, soils, foods, fruits and vegetables. Several recent papers have reported advances in this field [2-5]. Therefore, pesticide residue in food has been strictly regulated by government in all countries in order to determine whether the concentrations of the pesticides used exceed their maximum residues limits (MRLs). The monitoring of pesticide residues in coconut water is of particular concern from the consumer safety perspective [6].

In the present study, a method employing HPLC with UV detection for the separation, identification and quantification of four widely used pesticides on tender coconut water was developed and validated.

Materials and Methods


Fresh samples of tender coconut water (elaneer/nariyal pani) were collected from pollachi (Coimbatore district), Tamilnadu. A total of 10 varieties (Arasampattai, Sowcot pachai, kuttyaiadi (Kerala), Malayan orange, Malayan yellow, Alphanam, sowchot orange, Nettai, Kuttai and 1000 kaychi) of tender coconut were collected for the analysis.

Chemicals and reagents

The organic solvents, acetonitrile, ethyl acetate used were HPLC grade and were purchased from E. Merck. with a purity of 95-99%. The standards were stored in a freezer at -5°C. Water and acetonitrile were degassed by vacuum suction. All samples and solvents were filtered through Millipore membrane filters (0.45 μm pore size) before injection on the column.

Standard preparation

A stock solution of monochrotophos, copper oxychloride and Galaxy (100 mg kg-1) was prepared in acetonitrile. Standard calibration solutions (10 to 50 mg kg-1) for the assessment of linearity were prepared from this stock solution using the mobile phase. The solutions were filtered through a 0.45-μm nylon filter. Working solutions were prepared daily by appropriate dilution with acetonitrile. The filtered solution was then injected into the HPLC system.


The tender coconut water samples (50 ml) were homogenized and mixed with anhydrous sodium sulphate (50 g) and extracted with ethyl acetate [7] (200 mL) in a conical flask. The content was allowed to settle down for about half an hour and the ethyl acetate extract was then filtered through a filter paper covered by 20 g of anhydrous sodium sulphate. After filtration, the extract was evaporated to dryness and redissolved in 5 mL of acetonitrile and finally the sample was transferred in to the SPE cleanup using C18 SPE cartridge with acetonitrile (StrioTM-E, 1CC, 30 mg, part#SSSE-1CC30, strio Chem Technologies, Inc, California, USA). The final extract was made up to 1 ml with acetonitrile. The clean samples were taken and were analyzed by a high performance liquid chromatography having UV/Visible detector.

HPLC systems

A Shimadzu SCL-10AVP, Version 5.22 High performance liquid chromatography having UV/visible detector was used for identification and quantification of pesticides [7]. Separation was performed on reversed phase C-18 column (Nova pack). Samples were injected manually through a Rheodyne injector. Detector was connected to the computer for data processing. The working condition of HPLC was binary gradient, mobile phase was acetonitrile: water; (70:30), flow rate was 1 mL min-1, injection volume was 20 μL and the wavelength of the UV/visible detector was fixed at 254 nm for the pesticides i.e., monochrotophos, copper oxychloride and Galaxy.

Results and Discussion

HPLC determination of pesticide standards

The pesticide residues was identified by comparing its retention time Retention time (Rt), Monochrotophos (Rt-2.258), Copperoxychloride (Rt-2.908) and Galaxy (Rt-3.608) and their standards have been shown in Figure 1 and Table 1. The quantitative determination was carried out with the help of a calibration curve (Figure 2). A good linearity was established by a correlation coefficient (R2) value of 0.990 ± 0.0001 (Table 2). Correlation coefficient is a statistical tool used to measure the degree or strength of this type of relationship, and here, a high correlation coefficient value (a value very close to 1.0) indicates a high level of linear relationship between the concentration of monochrotophos and peak area. For quantification an external calibration curve with four different concentrations of each pesticide, with matrix matching were made.

Detector A (254nm)
Pk # Retention Time Area Height Name Concentration (mg kg-1)
1 2.258 2571829 475180 Monochrotophos 10.000
2 2.908 7308663 950169 Copperoxychloride 10.000
3 3.608 579774 99282 Galaxy 10.000

Table 1: Pesticide Standards.

S.No Rf Value Peak Hight Peak Area MonochrotophosStandard concentration (mg kg-1)
1 2.258 475180 2571829 10
2 2.243 762480 5133865 20
3 2.204 891930 7695748 30
4 2.256 1212580 9287764 40
5 2.255 1540910 11859321 50

Table 2: validation data of Monochrotophos standardsobtainedfrom HPLC chromatogram.


Figure 1: HPLC chromatogram of Pesticide standards.


Figure 2: Calibration curve of monochrotophos standards.

HPLC determination of pesticide in Tender coconut water samples

The HPLC Result based on the Retention time (Rt), monochrotophos (Rt-2.25) content in tender coconut samples samples was given in Figure 3, monochrotophos was detected amount (5.847 ppm) more than MRL value in Malayan orange sample and the amount was below the MRL value (0.5-1 mg kg-1) as per the EU statndards in the 9 samples. Based on the the HPLC results Copperoxychloride was found in Malayan yellow (0.003 mg kg-1) and the amount was below the MRL value (20 mg kg-1) as per the EU statndards given in Table 3 and Table 4 and Figure 4. The galaxy pesticides was not detected in all the samples.

Tender coconut varieties Retention time Peak area Peak height Concentration (mg kg-1) Maximum Residual Limit (MRL)
Arasampattai (C1) BDL BDL BDL BDL (0.5 – 1.0  mg kg-1)
Sowcotpachai (C2) BDL BDL BDL BDL
kuttyaiadi (Kerala) C3) BDL BDL BDL BDL
Malayan orange(C4) 2.250 1503772 160119 5.847
Malayan yellow (C5) 2.267 1023 784 0.004
Alphanam (C6) BDL BDL BDL BDL
sowchot orange (C7) BDL BDL BDL BDL
Nettai (C8) 2.275 83106 24363 0.323
1000kaychi (C10) BDL BDL BDL BDL
Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Article Usage

  • Total views: 14386
  • [From(publication date):
    December-2013 - Dec 06, 2019]
  • Breakdown by view type
  • HTML page views : 10429
  • PDF downloads : 3957