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Record W4409292290 · doi:10.1007/s43630-025-00706-x

Chlorophyllin and sunlight against Penicillium digitatum: exploring Photodynamic Inactivation as a green postharvest technology in citriculture

2025· article· en· W4409292290 on OpenAlexaff
Linda Jernej, Jun Liu, Michael Fefer, Kristjan Plaetzer

Bibliographic record

VenuePhotochemical & Photobiological Sciences · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsFractal Systems (Canada)
FundersUniversität Salzburg
KeywordsPenicillium digitatumPostharvestPhotosensitizerOrange (colour)Food spoilagePenicillium italicumFungicideChemistryHorticultureChlorophyllinFood scienceBotanyBiologyChlorophyllPhotochemistryBacteria

Abstract

fetched live from OpenAlex

Abstract Green mold, induced by the fungal phytopathogen Penicillium digitatum , is one of the major causes of postharvest losses in citriculture. To minimize mold infections oranges are treated harshly with fungicides, edible coatings, or physical treatment, leading to evolving resistance, low consumer acceptance, or reduced crop quality, respectively. Photodynamic Inactivation (PDI) might represent an ecofriendly alternative for treatment of P. digitatum spoilage, especially if based on natural photosensitizers. Here, we introduce PDI using three formulations consisting of different concentrations of the natural photosensitizer sodium magnesium chlorophyllin (Chl), Na 2 EDTA as cell-wall permeabilizing agent and a surfactant for postharvest treatment of P. digitatum . As experimental model systems (i) mycelial spheres in liquid suspension, (ii) fungal spores or (iii) a newly developed experimental setup using orange peel plugs are employed. Illumination was done by an LED device with a main wavelength of 395 nm (106 J cm −2 ). The lowest concentrated photosensitizer formulation (219 µM Chl) effectively photokilled samples of model systems (i) and (ii) with 100% and 62.5% dead samples, respectively. Orange peel plugs of model system (iii) were best disinfected using the mid-concentrated formulation (475 µM Chl, 70% dead samples). Additionally, model systems (ii) and (iii) were treated with the mid-concentrated formulation and illuminated by sunlight. Eradication of P. digitatum liquid spore culture (ii) was enhanced when illuminating with sunlight (300 J cm −2 ). Further, a complete disinfection of orange peel plugs (iii, 100% dead samples) was achieved with sunlight (300 J cm −2 ). To evaluate the antioxidant scavenging activity post-PDI treatment with LED light (395 nm, 106 J cm −2 ) a DPPH assay was performed on model system (iii). The treatment with the mid- and low-concentrated Chl formulations and LED light showed little to no change in DPPH scavenging activity when compared to the not-illuminated controls. Concisely, with this study we demonstrate that PDI using Chl-based photosensitizer formulations has an in vitro antifungal effect against P. digitatum , without altering the antioxidant scavenging activity of the fruit . Different model systems, to mimic the different stages of green mold infection, were effectively treated with Chl and sunlight. Graphical abstract

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.254
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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