Severity: Warning
Message: foreach() argument must be of type array|object, string given
Filename: backoffice/Articlemodel.php
Line Number: 296
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/models/backoffice/Articlemodel.php
Line: 296
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 646
Function: getRelatedArticles
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "articleIDUniqueCode"
Filename: frontend/article.php
Line Number: 94
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 94
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "articleIDUniqueCode"
Filename: frontend/article.php
Line Number: 95
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 95
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "articleIDUniqueCode"
Filename: frontend/article.php
Line Number: 113
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 113
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "articleIDUniqueCode"
Filename: frontend/article.php
Line Number: 114
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 114
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "thumbnailImage"
Filename: frontend/article.php
Line Number: 131
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 131
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Severity: Warning
Message: Undefined array key "thumbnailImage"
Filename: frontend/article.php
Line Number: 137
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 137
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once
Tathya Pharmacy College, Chikhli.
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.
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
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
Severity: Warning
Message: Undefined array key "revisedFlag"
Filename: frontend/article.php
Line Number: 549
Backtrace:
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/views/frontend/article.php
Line: 549
Function: _error_handler
File: /home/u106167836/domains/ijpsjournal.com/public_html/application/controllers/HomeController.php
Line: 674
Function: view
File: /home/u106167836/domains/ijpsjournal.com/public_html/index.php
Line: 338
Function: require_once