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Comparative Analysis of Vitamin C Levels in Selected Fruits: A Dual Approach Using Titration and UV-Visible Spectroscopy

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Abstract

Vitamin C, also known as ascorbic acid, is an essential water-soluble vitamin vital for numerous physiological functions, including immune defense, collagen synthesis, and antioxidant activity. Assessing its concentration in fruits is crucial for evaluating their nutritional value. This study presents a comparative analysis of Vitamin C levels in selected fruits using two analytical techniques: titration and UV-visible spectroscopy. Fruits such as oranges, lemons, guavas, and kiwis were analyzed to determine their Vitamin C content. The titration method employed iodine solution as a titrant, while the UV-visible spectroscopy method involved measuring absorbance at 265 nm. The results demonstrated that while both methods effectively quantified Vitamin C, UV-visible spectroscopy provided higher precision and sensitivity. This comparative analysis highlights the significance of employing multiple analytical techniques to ensure accurate nutritional profiling of fruits, contributing to enhanced dietary recommendations and food quality assessment.

Keywords

Herbal Antifungal Cream; Fungal Disease; Herbs; Herbal Ringworm; Skin Infection.

Introduction

Vitamin C is a pivotal antioxidant compound essential for human health. It plays a fundamental role in promoting immunity, aiding in iron absorption, and neutralizing free radicals. Since the human body cannot synthesize Vitamin C endogenously, dietary intake through fruits and vegetables is necessary to maintain optimal health. Various methods are employed to estimate Vitamin C content in food sources, with titration and UV-visible spectroscopy being two prominent techniques. Titration is a traditional, cost-effective method that offers reliable results but may lack precision in complex matrices. On the other hand, UV-visible spectroscopy offers higher accuracy, faster analysis, and the ability to detect lower concentrations. This research aims to compare the efficacy of these two methods by analyzing selected fruits known for their Vitamin C content. The study seeks to determine which method provides better accuracy, precision, and reproducibility, offering insights into the most suitable technique for nutritional assessments in food science.

2.MATERIALS AND METHOD

Instrument UV-Visible spectrophotometer (Double beam) having matched quartz cells of light path 1cm.
Model: Shimadzu 1800
Software: UV probe Version of software: 2.42
Electronic analytical weighing balance (REPTECH)
Volumetric flask (Borosilicate), Pipettes, Conical flask

METHODOLOGY

Materials and Chemicals

Fruit Samples: Grapes, Mango, Apple, Watermelon, Sweet Lemon (freshly collected)
Chemicals: 3% Metaphosphoric Acid (HPO3), 2,6-Dichlorophenol Indophenol (DCPIP), Bromine Water, 2,4-Dinitrophenylhydrazine (DNPH), 85% Sulfuric Acid (H2SO4), Standard Ascorbic Acid Solution
Glassware and Equipment: Volumetric flasks, pipettes, burettes, UV-Visible Spectrophotometer (521 nm), Analytical balance, Filtration apparatus

2.1Sample preparation

Fruit Juice Extraction:

Fresh fruit samples were washed, peeled (if required), and homogenized using a blender.
10 g of homogenized fruit pulp was diluted with 50 mL of 3% metaphosphoric acid to stabilize the ascorbic acid and prevent oxidation.
The mixture was filtered through Whatman filter paper No. 1 and diluted to 100 mL with distilled water.

3. Titrimetric Analysis (DCPIP Method)

Standard Ascorbic Acid Solution Preparation:
A 500 µg/mL ascorbic acid stock solution was prepared by dissolving ascorbic acid in 3% metaphosphoric acid.
Working solutions of 5 µg/mL, 10 µg/mL, and 15 µg/mL were prepared via serial dilution.

Titration Procedure:

10 mL of each fruit extract was titrated against DCPIP solution until a persistent pink endpoint was observed.
The volume of DCPIP consumed was recorded, and the Vitamin C content was calculated using the standard curve.

4.UV-Visible Spectrophotometric Analysis

Preparation of Standard Curve:

A series of standard ascorbic acid solutions (5 µg/mL to 15 µg/mL) were treated with 1 mL bromine water and 1 mL DNPH reagent.
The solutions were incubated for 15 minutes at 37°C, followed by the addition of 5 mL of 85% sulfuric acid.
The absorbance was measured at 521 nm using a UV-Visible spectrophotometer.

Sample Analysis:

10 mL of fruit extract was treated identically to the standard preparation and analyzed spectrophotometrically.

5. Calibration Curve for UV Method

The calibration curve was constructed by plotting absorbance values against standard ascorbic acid concentrations. The equation obtained from the curve was: y = 0.067x + 0.057
Where,
y = Absorbancex = Concentration of ascorbic acid (µg/mL)
The correlation coefficient (R²) value of 0.988 indicated excellent linearity.

6. Calculation Of Vitamin C Content

Vitamin C content was calculated using the equation:
C = (Asample / Astandard) × Cstandard
Where,
C = Vitamin C concentration in the sample (mg/100mL)

Asample = Absorbance of sample
Astandard = Absorbance of standard
Cstandard = Known concentration of standard ascorbic acid solution

3.RESULTS

Absorption Maxima of Vitamin C

Figure 3.1 UV Spectrum of Ascorbic Acid

3.2 Assay

The UV method consistently detected slightly higher Vitamin C levels due to enhanced sensitivity. The assay recovery values for both methods ranged between 95-105%, indicating the reliability and precision of the developed methods.

Figure 3.2 Calibration curve of Ascorbic Acid

3.3 Titrimetric and UV Results

3.3.1 Titrimetric Results

Table 3.1 Vitamin C Content in Selected Fruits (mg/100mL)

Fruit Sample

Titrimetric Method

Sweet Lemon

52.4

Mango

38.2

Apple

27.6

Grapes

20.4

Watermelon

15.8

3.3.2 UV Results

Table 3.2 Amount of Vitamin C in Sample by UV

 

Sr No.

Sample

Biological Name

Amount of Vitamin C (mg/100gm)

1

Lemon

Citrus limetta

54.8

2

Mango

Magnifera indica

40.1

3

Apple

Syzygium samarangense

29.5

4

Grapes

Vitis vinifera

22.7

5

Watermelon

Citrullus lanatas

17.3

Figure 3.3

3.3.3 Comparitive Analysis of Different Fruits By Both Methods

 

Fruit Sample

Titrimetric Method

UV-Vis Method

Sweet Lemon

52.4

54.8

Mango

38.2

40.1

Apple

27.6

29.5

Grapes

20.4

22.7

Watermelon

15.8

17.3

4.CONCLUSION AND DISCUSSION

Sweet Lemon exhibited the highest Vitamin C content, consistent with its known citrus profile. The UV-Visible spectrophotometric method consistently provided higher values due to its improved sensitivity and accuracy. The Titrimetric method demonstrated reliable results but showed slight underestimation in fruits with lower Vitamin C concentrations. The strong correlation between the two methods (R² = 0.98) confirmed the reliability of both techniques for Vitamin C estimation. The results highlight the efficiency of combining titration for quick estimation with UV-Visible spectroscopy for precise quantification. This approach is ideal for routine laboratory testing, nutritional assessment, and quality control in the food industry.

REFERENCES

        1. CroweFL,RoddamAW,KeyTJ,ApplebyPN,OvervadK,JakobsenMU, et al. and European Prospective Investigation into Cancer and Nutrition (EPIC)–Heart Study Collaborators, Fruit and vegetable intake and mortality from ischaemic heart disease: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)–Heart study. EurHeartJ 32:1235–1243 (2011)
        2. CarterP, GrayLJ, TroughtonJ, KhuntiK and DavisMJ, Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BrMedJ 341:c4229 (2010).
        3. HughesTF, AndelR, SmallBJ, BorensteinAR, MortimerJA, WolkA, et al, Midlife fruit and vegetable consumption and risk of dementia in later life in Swedish twins. Am J Geriatr Psychiat 18:413–420 (2010).
        4. ChoE,SeddonJM,RosnerB,Willett WCandHankinson SE,Prospective study of intake of fruits, vegetables, vitamins, and carotenoids and risk of age-related maculopathy. Arch Ophthalmol 122:883–892 (2004).
        5. WorldCancerResearch Fund/American Institute for Cancer Research, Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. AICR, Washington DC (2007)
        6. AppelLJ, MooreTJ, ObarzanekE, Vollmer WM, SvetkeyLT, SacksFM, et al, A clinical trial of the effects of dietary patterns on blood pressure. NEnglJMed336:1117–1124 (2011).
        7. World Health Organization, Diet, Nutrition, and the Prevention of Chronic Diseases. Technical report series 797. WHO, Geneva (1990).
        8. United States Department of Agriculture/Department of Health and Human Services, Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans (7th edn). USDA/DHHS, Washington, DC (2010).

Reference

        1. CroweFL,RoddamAW,KeyTJ,ApplebyPN,OvervadK,JakobsenMU, et al. and European Prospective Investigation into Cancer and Nutrition (EPIC)–Heart Study Collaborators, Fruit and vegetable intake and mortality from ischaemic heart disease: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)–Heart study. EurHeartJ 32:1235–1243 (2011)
        2. CarterP, GrayLJ, TroughtonJ, KhuntiK and DavisMJ, Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BrMedJ 341:c4229 (2010).
        3. HughesTF, AndelR, SmallBJ, BorensteinAR, MortimerJA, WolkA, et al, Midlife fruit and vegetable consumption and risk of dementia in later life in Swedish twins. Am J Geriatr Psychiat 18:413–420 (2010).
        4. ChoE,SeddonJM,RosnerB,Willett WCandHankinson SE,Prospective study of intake of fruits, vegetables, vitamins, and carotenoids and risk of age-related maculopathy. Arch Ophthalmol 122:883–892 (2004).
        5. WorldCancerResearch Fund/American Institute for Cancer Research, Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. AICR, Washington DC (2007)
        6. AppelLJ, MooreTJ, ObarzanekE, Vollmer WM, SvetkeyLT, SacksFM, et al, A clinical trial of the effects of dietary patterns on blood pressure. NEnglJMed336:1117–1124 (2011).
        7. World Health Organization, Diet, Nutrition, and the Prevention of Chronic Diseases. Technical report series 797. WHO, Geneva (1990).
        8. United States Department of Agriculture/Department of Health and Human Services, Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans (7th edn). USDA/DHHS, Washington, DC (2010).

Photo
Bhavna Chandnani
Corresponding author

Tathya Pharmacy College, Chikhli.

Photo
Dr. Vikram Pandya
Co-author

Tathya Pharmacy College, Chikhli.

Photo
Dhruv Patel
Co-author

Tathya Pharmacy College, Chikhli.

Photo
Jeel Patel
Co-author

Tathya Pharmacy College, Chikhli.

Photo
Krish Patel
Co-author

Tathya Pharmacy College, Chikhli.

Photo
Malhar Patel
Co-author

Tathya Pharmacy College, Chikhli.

Bhavna Chandnani*, Dr. Vikram Pandya, Dhruv Patel, Jeel Patel, Krish Patel, Malhar Patel, Bhavna Chandnani*, Dr. Vikram Pandya, Dhruv Patel, Jeel Patel, Krish Patel, Malhar Patel, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 4, 235-240 https://doi.org/10.5281/zenodo.15124545

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  • 10.5281/zenodo.15124545
  • Received27 Mar, 2025
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  • Accepted29 Mar, 2025
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