Open access peer-reviewed chapter

Analysis of Pesticide Residues in Chili (Capsicum annuum L.) using Ultra Performance Liquid Chromatography with UV Detection

By Dinesh C Bilehal, Mahadev B. Chetti, Deepa G. T and Mahadev C. Khethagoudar

Submitted: October 19th 2016Reviewed: June 8th 2017Published: December 13th 2017

DOI: 10.5772/intechopen.70061

Downloaded: 515


The aim of this study was to analyze the pesticide residues in chili samples, collected from farmer’s field. Ultra performance liquid chromatography (UPLC) with BEH C18 column was used for this analysis work. A cheap and fast method for the simultaneous quantification of 12 residue of pesticides in chili has been developed. Samples were prepared according to Quick, Easy, Cheap, Effective, Rugged, Safe (QuEChERS) method and quantification was performed by using tunable ultra violet (TUV) detector. The method was applied for the analysis of the chili samples and results showed that most of the samples have detectable pesticide residues. The residues of acetamiprid and thiodicarb were detected only in three samples, whereas flubendiamide and mancozeb were detected in six samples and arbosulfan and Spinosad were detected in two and five samples, respectively. Out of the 30 chili samples, only 11 samples were found to be contaminated with pesticide residues with more than maximum residue limits (MRLs).


  • pesticide residues
  • ultra performance liquid chromatography (UPLC)
  • QuEChERS
  • chili

1. Introduction

Chili [Capsicum annuum L.] is one of the major spice crop in India. Indian chilies have gained global demand due to high color value and low pungency [1]. The total world production of red chili is estimated to be around 21 lakh tons, 45% of which is produced in India [2]. The world spice production statistics records a bulk of 86% by volume, making the country the largest producer of spices, in addition to it being the largest consumer and exporter of spices in the global context [3, 4]. Chili has high medicinal value due to the abundance of availability of carotenoids, capsaicinoids [5], oleoresins, and mineral content [6]. Most of the studies have demonstrated that consumption of chili rich diets, increases in energy expenditure and oxidation of fat, and also it helps in the curing of many diseases [7].

Intensive agriculture practice receives most of the pesticides during different stages of cultivation. Pesticides increase crop productivity, reduce cost of production, improve quality, and thus help to increase in the farmers’ income. The role and contribution of pesticides will be much more in the coming years, especially in the developing country like India. The demand for food continues to grow steadily due to growth of population. Although modern polar pesticides like organophosphorus and carbamates that replaced classical organochlorine pesticides are less persistent. There are more than 800 pesticide molecules used to control pests and also weeds [8, 9]. It is not possible to control the residues of pesticides in food commodities; hence, these compounds will accumulate in the human body after consumption through diets [10]. Hence, to overcome the effects of pesticides on different groups, the uniform maximum residue limits (MRL’s) was established as 0.01 mg/kg for any pesticides [10].

In order to determine such a low level of detection of various analytes in the sample, a sophisticated instrument like gas chromatography (GC) or liquid chromatography (LC) have to be used for accurate separation and determination. With the advancement in the detectors in gas chromatography techniques namely electron capture detector (ECD), thermal conductivity detector (TCD), nitrogen phosphorus detector (NPD), and mass spectrometry detector (MSD), hence it is widely used in all analysis. Recently, polar and thermolabile pesticide analysis, liquid chromatography is used as alternative technique, where as these pesticides are not determinable by gas chromatography [11, 12]. For the analysis of wide range of polar pesticide residues in food commodities high-performance liquid chromatography mass spectrometry (HPLC–MS/MS) has become the important technique by choice [13].

Most of the published methods either expensive or involves laborious procedure for cleanup step during the extraction procedure, hence there is a chance of losing some quantity of analyte molecule. Similarly, some problems arise in the solvent exchange step, before applying the extract to the LC column, makes preparation of sample procedure less effective. Many challenges exists both in use of sophisticated equipments and sample handling procedure during pesticide residue analysis. In order to avoid such a complication in sample preparation, it is necessary to adopt Quick, Easy, Cheap, Effective, Rugged, Safe (QuEChERS) method. The ultra performance liquid chromatography (UPLC) is having more advantages than routine high-performance liquid chromatography (HPLC) system in terms of lesser retention time, resolution, and more sensitivity [14]. The UPLC separation was faster (six times) than regular HPLC system with monolithic column [15, 16]. And also, it consumes 80% of less mobile phase than normal HPLC system. The aim of the present study is to analyse the 12 pesticide residues with UPLC system using QuEChERS extraction method and critically determine the replacement of HPLC method with new UPLC method.

2. Experimental

2.1. Chemicals and materials

The certified reference materials (CRM's) of acetamiprid (purity 99%), benomyl (99%), flubendiamide (98.5%), indoxacarb (98.5%), carbosulfan (99%), imidacloprid (98%), methomyl (99%), thiodicarb (96%), spinosad (99%), oxydemeton-methyl (99%), difenoconazole (98.5%), and mancozeb (98.5%) for this study were obtained from Dr. Ehrenstorfer GmbH, Augsburg, Germany. HPLC grade solvents (acetonitrile, methanol, acetic acid, and formic acid) were obtained from Merck India Ltd. (Mumbai, India). Mobile phase water was prepared using millipore water purification system. Anhydrous sodium acetate and magnesium sulfate were procured from Sigma-Aldrich (Germany). And primary secondary amine (40 μm, Bondesil PSA) was purchased from Agilent Technologies (Bangalore, India).

2.2. Selection of pesticides

As many as 12 pesticides (Table 1) were used in this study, which are liquid chromatography amenable. And these pesticides are monitered in chili for the export to European Union. The pesticides chosen were those most often sprayed in chili cultivation.

PesticidesRetention time (RT)Correlation coefficient (R2)Limit of detection (LOD) (mg/kg)Limit of quantification (LOQ) (mg/kg)
Methomyl6.4310.99990. 00050.0015

Table 1.

Retention time (RT), correlation coefficient (R2), limit of detection (LOD), and limit of quantification (LOQ) of 12 reference standards.

2.3. Collection and storage of chili samples

Thirty chili samples (Tables 2 and 3) were collected randomly from different farmers’ field of Haveri district, Karnataka, India. Two kilograms of each sample was taken, sealed in polythene bags, and stored at −4°C in deep freezer for further processing.

Name of pesticidesNo. of chili samples (Residues in ppm)
MRLs prescribed by EU in ppm123456789101112131415
Name of pesticidesNo. of chili samples (Residues in ppm)
MRLs prescribed by EU in ppm161718192021222324252627282930
Name of pesticidesNo. of chili samples (Residues in ppm)
MRLs prescribed by EU in ppm161718192021222324252627282930

Table 2.

Monitoring of pesticide residues in chili samples collected from farmers field of Haveri district, Karnataka using UPLC.

ND = Not detected.

Sl. noName of pesticideNumber of positive samplesIncidence of residence (%)

Table 3.

Incidence of pesticide residues in 30 chili samples collected from farmer’s field of Haveri district, Karnataka.

2.4. Preparation of reference standards

The individual stock solutions were prepared by exactly weighing 10 (±0.01) mg of certified reference standards in volumetric flask, dissolved in 10 ml methanol (1000 ppm), and were stored in a refrigerator −10 (±2)°C. Intermediate standards were prepared by diluting the stock solutions of 10 ppm and mix these with appropriate quantities for standard mixture preparation with acetonitrile. And these were stored at −10 (±2)°C and was used for 3 months. A working standard was prepared for diluting these intermediate stock solutions. Calibration plot was constructed using these standards.

2.5. Calibration

Five different standards of different concentrations like 500 ppt, 1 ppb, 10 ppb, 1 ppm, and 10 ppm were prepared using a serial dilution technique from 10 ppm concentration with acetonitrile as a solvent. For the same concentration levels, matrix matched standards were prepared in chili using the procedure mentioned in Section 2.6. Before doing this exercise, control chili samples were screened for the confirmation of absence of pesticide residues of the interest.

2.6. Sample preparation

Modified QuEChERS method was adopted for the preparation of the chili samples. The method involves crushing of 2 kg chili samples under ambient laboratory conditions. The 200 g of chili sample was further homogenized for 2 min and then 10 g of this sample were transferred in 50 ml polypropylene tubes and extracted with 10 ml acetonitrile (1% acetic acid) ) in presence of 6 g anhydrous magnesium sulfate and 1.5 g sodium acetate. Then homogenization of the mixture was done at 15,000 rpm for about 2 min and centrifuged for 5 min at 6000 rpm. Dispersive solid phase extraction (d-SPE) was employed for the supernatant (1 ml) cleaning using 50 mg primary secondary amine (PSA) and 150 mg MgSO4, which completely removes carbohydrates and fatty acids [17]. The supernatant was centrifuged at 3000 rpm for 5 min and the filtered through polyvinylidene difluoride (PVDF) membrane filter and transferred to auto sampler vial.

2.7. UPLC analysis

UPLC analysis was carried out using an ACQUITY UPLCTM system (Waters, USA), and separation was performed using Acquity UPLC BEH C18 (100 mm × 2.1 mm) with 1.7 μm particle size. The mobile phases used were (A) acetonitrile and (B) 0.1% formic acid. The gradient was linear from 0 to 30% A for 11 min and from 30 to 100% A for 1 min, followed by washing with B and re-equilibration of the column for 2 min were maintained for re-equilibration of the column to original state. The optimized parameters used were 0.2 mL/min flow rate, 45°C column temperature, and 25°C sample temperature and volume of injection was 1 μL throughout the analysis. Absorbances were recorded on-line at 280 nm using TUV detector.

3. Results and discussion

3.1. Optimization of chromatographic separation conditions

Mobile phase namely acetonitrile was used for the optimization of the system for the separation of reference standards using UPLC BEH C18 column. Generally, with change in the concentration of formic acid, the retention time of the individual standard varies. With the optimized gradient steps, we got good separation of the 12 standards with 0.1% formic acid (Figure 1). The optimum parameters used for this experiments were as follows: the mobile phase gradient was linear from 0 to 30% A for 11 min and from 30 to 100% A for 1 min, 0.2 mL/min flow rate, column and sample temperature were 45 and 25°C, respectively, injection volume was 1 μL and detection was done at 280 nm.

Figure 1.

UPLC–UV chromatogram of a mixture of the following 12 pesticide reference standards, detected at 280 nm: acetamiprid (1), benomyl (2), flubendiamide (3), indoxacarb (4), carbosulfan (5), imidacloprid (6), methomyl (7), thiodicarb (8), spinosad (9), oxydemeton-methyl (10), difenoconazole (11), and mancozeb (12).

3.2. QuEChERS sample preparation method

As described, QuEChERS methodology [18, 19] have been adopted for the determination of 12 pesticide residues in chili. QuEChERS methodology have been devised in the year 2003 for the multiresidue analysis of pesticides in different matrices [20], and now it is universally accepted method [17]. In this procedure, extraction was performed with acetonitrile solvent initially and then partitioning step was carried out using salt mixture. A small amount of extract was further cleaned by using dispersive solid-phase extraction (d-SPE) method. Finally, extract was used for the determination of pesticide residues using UPLC. The advantages of this method include the large number of samples, and very low quantity of solvent and limited space are required [18, 21]. The acetonitrile has several advantages namely upon addition into salt, it will separate easily, good compatibility with d-SPE. The use of primary secondary amine removes acidic components, sugars and pigment molecules [18]. Another advantage is the removal of the waxes, lipids, and sugars during the freezing process. The pH of the extract will increases when it comes in contact with PSA [22]. This can be used as the stability of base-sensitive pesticides.

3.3. Method validation

Developed method has been validated after the optimization of the UPLC separation parameters. Limit of detections (LODs) were calculated using the signal to noise ratio by injecting 1 μL of dilute solutions.

3.3.1. Linearity

The calibration plot was constructed using the different concentrations namely 500 ppt, 1 ppb, 10 ppb, 1 ppm, and 10 ppm (Figure. 2) for checking the linearity of the method. Upto 10 ppm concentration, the response was linear for all the compounds, with correlation coefficient (R2) values ranging from 0.9969 to 1.0000 (Table 1).

Figure 2.

UPLC calibration plot of pesticide reference standards (500 ppt–10 ppm).

3.3.2. Accuracy and precision

Satisfactory results were found with recoveries between 85 and 100%. The relative standard deviation (RSD) was below 20%. The repeatability of the chromatographic method was determined by analyzing the chili samples spiked at different concentrations. The samples were injected 10 times with autosampler.

3.3.3. Limit of detection (LOD) and limit of quantification (LOQ)

For the blank sample of the chili, the limit of detection (LOD) of the compound can be measured using signal to noise ratio of 3 with obtained background noise. Then, for the limit of quantification (LOQ) of the method, S/N ratio was considered which was generally >10 (Table 1). Effect of the matrix in the developed method was analyzed by comparing the standards in solvent with matrix-matched standards for five replicates. From the results obtained, it was evident that, no interfering peaks appeared and retention time (RT) of the tested analytes at spiked samples fully matched with those of standard samples. Each analyte molecule was eluted as separate symmetric peak.

3.3.4. Analysis of pesticide residues in chili samples

The validated method was employed for analysis of 30 samples collected from the different farmer’s field of Haveri district, Karnataka, India. The optimized method was used for analysis of samples in triplicates. Results showed that most of the chili samples contained detectable pesticide residues (Tables 2 and 3). The residues of acetamiprid and thiodicarb were detected in three samples, whereas flubendiamide and mancozeb were detected in six samples, respectively, and carbosulfan and spinosad were detected in two and five number of samples, respectively (Table 3). The rest of the pesticides, that is, benomyl, indoxacarb, imidacloprid, methomyl, oxydemeton-methyl, and difenoconazole were not found in any of the samples. Out of the 30 chili samples, 19 samples did not contain any pesticide residues and 11 samples were found to be contaminated with residues with above MRLs.

4. Conclusion

Method has been developed with UPLC for the rapid detection and quantification of different pesticide residues in chili samples. The reliability of the method was checked by method validation in terms of linearity, precision, and accuracy in a range of 500 ppt–10 ppm,correlation coefficient (R2) values were 0.9969. Average recoveries were more than 85–100% for the wide range of pesticide analysis in chili samples. QuEChERS methodology has proved rapid and highly effective method. This validated method was successfully used for analysis of real chili samples. The results also emphasize the need for regular monitoring of a more number of samples for pesticide residues, especially chili sample which has to be exported. Finally, it is concluded that the developed method is suitable for routine use in laboratories with access to UPLC system and should be used for the rapid screening of chili samples.


The author's greatfully acknowledge the University of Agricultural Sciences, Dharwad for providing facilities for conducting research. Acknowledgements are also to ASIDE (Assistance to States for Infrastructure Development and Allied Activities) Govt. of India and Visvesvaraya Industrial Trade Centre (VITC) Govt. of Karnataka for providing grants for the establishment of Pesticide Residue Testing and Quality Analysis Laboratory.

© 2017 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Dinesh C Bilehal, Mahadev B. Chetti, Deepa G. T and Mahadev C. Khethagoudar (December 13th 2017). Analysis of Pesticide Residues in Chili (Capsicum annuum L.) using Ultra Performance Liquid Chromatography with UV Detection, Ideas and Applications Toward Sample Preparation for Food and Beverage Analysis, Mark T. Stauffer, IntechOpen, DOI: 10.5772/intechopen.70061. Available from:

chapter statistics

515total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Ideas and Applications Toward Sample Preparation for Food and Beverage Analysis

Edited by Mark Stauffer

Next chapter

Advances in Distilled Beverages Authenticity and Quality Testing

By Teodora Emilia Coldea, Elena Mudura and Carmen Socaciu

Related Book

Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences

Edited by Mark Stauffer

First chapter

Fourier Transform Infrared and Raman Characterization of Silica-Based Materials

By Larissa Brentano Capeletti and João Henrique Zimnoch

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us