INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026
oils, pectin, and carotenoids, and discuss bioconversion processes such as digestion and fermentation that yield
products such as lactic acid, xanthan gum, biomethane, and bioethanol, thereby supporting a circular
bioeconomy. The review also introduces a citrus-based bioflavonoid taste-enhancer powder. It provides scientific
evidence on citrus peel's potential as a source of functional and flavour-active compounds, offering insights into
sustainable extraction and use strategies for clean-label product development.
Sonawane, N., Patil, C., & Chinchore, R. (2024) review orange peel, a nutrient-rich by-product that contains
flavonoids (hesperidin, naringin), phenolics, carotenoids, and essential oils such as limonene and linalool. It
emphasizes their antioxidant and antimicrobial effects and explains extraction methods like Soxhlet and aqueous
techniques. The review also explores their uses in food preservation and health-oriented products. This analysis
supports research efforts by providing evidence of how citrus waste can be repurposed to recover bioactive
compounds for value-added applications.
Dadwal and Gupta (2023) describe citrus peel as a sustainable bioresource that can be converted into food
additives and functional ingredients. They emphasize its rich content of flavonoids, essential oils, and dietary
fibre, which offer antioxidant and health benefits. They also discuss how citrus waste can be transformed into
natural flavourings and value-added products using sustainable processing techniques. This supports the idea
that India should move from exporting raw citrus peel to producing high-value bioactive compounds, thereby
enhancing export competitiveness and mitigating the impact of declining raw peel exports.
Anbalagan, T., Tejkumar, J. P., George, A., & Kommu, K. K. (2021) highlight that India’s citrus yield stands at
12.5 tons per hectare, which is lower than yields in Brazil, China, and the USA. This discrepancy is mainly due
to research institutions providing less than 1% of disease-free planting materials. Biotic stresses such as HLB,
tristeza, canker, and Phytophthora, along with abiotic stresses like drought and salinity, further reduce both yields
and fruit quality. While the cultivated area is increasing, these issues hinder export competitiveness. The authors
recommend that adopting better management practices could raise exports from the current 15-20% to 30-40%,
supporting the current finding that structural constraints limit peel availability and weaken export performance.
Hu, W., Wang, K., X., Jiang, P., Lu, Z., Zhang, Z. (2024) Highlight that insect pests reduce citrus yield and fruit
quality, lowering the available volume for sale and increasing the risk of export rejection under strict international
standards. This agrees with the current study, as pest infestations impair both production and the quality of peels
suitable for export. When pests damage the fruits, fewer peels meet global market standards. As a result,
ineffective pest control directly hampers the success of citrus peel exports.
Kaur, K., Gupta, M., Anand, S., & Raina, D. (2025) find that higher temperature, rainfall, and humidity increase
fruit splitting in Daisy mandarins, reducing marketable yield and overall production. The splitting rate was 4.37%
in 2022, up from 3.48% in 2021, mainly due to higher rainfall and humidity. Fruits with thinner peels and higher
water content are more susceptible to damage. Since split fruits cannot be sold fresh, this negatively affects
export value. These results align with the current study by showing that climate variability compromises fruit
quality and peel availability, thereby contributing to the decline in India’s citrus peel exports.
Source Of Data
Secondary data sources are consisted of both international and domestic repositories. The WITS (World
Integrated Trade Solution) offers export data spanning from 2014 to 2024.
METHODOLOGY
The datasets were analysed using CAGR calculations, which determine the average annual growth rate, and
linear regression to predict future trends based on historical data. These techniques aided in market forecasting
and evaluating the project's feasibility.