# Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits

**Authors:** Vanshika Adiani, Archana Mishra

PMC · DOI: 10.1002/fsn3.71611 · Food Science & Nutrition · 2026-03-08

## TL;DR

This paper reviews advanced tools like spectroscopy, imaging, and nanotechnology for early detection of fungal diseases in fruits to reduce losses and improve quality.

## Contribution

The paper provides a comprehensive overview of recent advancements in integrating nanotechnology with spectroscopic and imaging techniques for fungal disease detection.

## Key findings

- Spectroscopic and imaging techniques offer cost-effective and non-destructive methods for early fungal disease detection.
- Nanoparticle-based biosensors show promise in improving the accuracy and speed of post-harvest disease diagnostics.
- Integration with decision-support tools enhances the effectiveness of these advanced diagnostic methods.

## Abstract

Fruits are a critical component of the human diet, as they provide essential dietary nutrients that play an important role in the functioning of the human body and maintaining health. It is well‐known that consuming fruits has various benefits, including the prevention of chronic diseases, cancer, and cardiovascular disorders. Thus, wider availability and maintaining the quality of fruits are highly required. Around 25% of global crop losses reported annually are attributed to disease and pest infestations, as per the Food and Agriculture Organization. Fungal pathogens are a major cause of post‐harvest diseases, which significantly affect production and lead to economic losses. To address this, disease diagnosis at an early stage is crucial to enable timely monitoring, implementation of prevention techniques, and minimizing storage‐related losses. Various methods are available for early pathogen detection; spectroscopic and imaging techniques have been widely applied as they offer cost‐effectiveness, potential for real‐time analysis, and a non‐destructive nature of analysis. When integrated with advanced decision‐support tools, these instrumental techniques can enable rapid and accurate detection of fungal diseases in fruits. In recent years, nanotechnology has emerged as a promising approach, with a wide range of nanoparticles being utilized to develop nanobiosensors for various applications. This review also highlights recent advancements in the use of nanomaterials and nanoparticle‐based sensing systems for the detection of pathogens, providing an overview of their potential role in improving post‐harvest disease diagnostics.

Schematic presentation shows various techniques applied for the detection of fungal diseases in fruits.

## Full-text entities

- **Genes:** GOLPH3 (golgi phosphoprotein 3) [NCBI Gene 64083] {aka GOPP1, GPP34, MIDAS, Vps74}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CP (ceruloplasmin) [NCBI Gene 1356] {aka AB073614, CP-2}
- **Diseases:** insect (MESH:C000719201), Fungal Diseases (MESH:D009181), plant diseases (MESH:D010939), bruises (MESH:D003288), cytotoxicity (MESH:D064420), infected (MESH:D007239), cardiovascular diseases (MESH:D002318), -end injury (MESH:D058625), Bortrytis fruit rot (MESH:D005535), lesion (MESH:D009059), cancer (MESH:D009369), peel disorders (MESH:C564818), late blight disease (MESH:D000067562), disease (MESH:D004194)
- **Chemicals:** H (MESH:D006859), 3-mercaptopropionic acid (MESH:D015097), CdTe (MESH:C028337), silica (MESH:D012822), CdSe-ZnS (-), graphene (MESH:D006108), VOCs (MESH:D055549), methyl parathion (MESH:D008743), silver (MESH:D012834), cinnamic acids (MESH:C029010), water (MESH:D014867), C (MESH:D002244), triglyceride (MESH:D014280), chlorophylls (MESH:D002734), N (MESH:D009584), rhodamine (MESH:D012235), O (MESH:D010100), Gold (MESH:D006046), metal (MESH:D008670), platinum (MESH:D010984)
- **Species:** Verticillium (genus) [taxon 1036719], Ralstonia solanacearum (species) [taxon 305], Rhizoctonia (genus) [taxon 1322061], Alternaria alternata (species) [taxon 5599], Solanum tuberosum (potatoes, species) [taxon 4113], Homo sapiens (human, species) [taxon 9606], Daucus carota (carrot, species) [taxon 4039], Penicillium sp. (species) [taxon 5081], Aspergillus flavus (species) [taxon 5059], Solanum lycopersicum (tomato, species) [taxon 4081], Carica papaya (mamon, species) [taxon 3649], Fungi (kingdom) [taxon 4751], Citrus x limon (lemon, species) [taxon 2708], Penicillium digitatum (species) [taxon 36651], Arachis hypogaea (goober, species) [taxon 3818], Mangifera indica (mango, species) [taxon 29780], Citrus tristeza virus (no rank) [taxon 12162], Citrus x paradisi (grapefruit, species) [taxon 37656], Escherichia coli (E. coli, species) [taxon 562], Malus domestica (apple, species) [taxon 3750]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12968061/full.md

## References

123 references — full list in the complete paper: https://tomesphere.com/paper/PMC12968061/full.md

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Source: https://tomesphere.com/paper/PMC12968061