Evidence map›Paper›PMID 41709671›Full record

ArticleJournal of food science2026

Compositional and Bioactive Characterization of Industrial Fruit Wastes in Sri Lanka.

Chamila Vinodanee Liyanage Jayasinghe, Jayasundara Mudiyanselage Lakshan Randika Bandara, Rankothge Chamodini Nisansala Thilakarathna

Abstract read
In one paragraph

Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chamila Vinodanee Liyanage JayasingheDepartment of Food Science and Technology, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka, Makandura, Sri Lanka.
Jayasundara Mudiyanselage Lakshan Randika BandaraDepartment of Food Science and Technology, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka, Makandura, Sri Lanka.
Rankothge Chamodini Nisansala ThilakarathnaDepartment of Food Science and Technology, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka, Makandura, Sri Lanka.ORCID https://orcid.org/0000-0003-2848-2374

Funding

National Science Foundation of Sri Lanka NSF/RG/2017/AG/02
6 · The paper itself

Abstract

The potential of industrial fruit processing wastes for nutritional and bioactive applications was evaluated. A survey of four major fruit processors in Sri Lanka identified pineapple (Ananas comosus), mango (Mangifera indica L.), papaya (Carica papaya), and passion fruit (Passiflora edulis) as the most processed fruits, generating waste yields of 69.98%, 50.07%, 48.41%, and 61.21%, respectively, primarily as peels, seeds, and bagasse. Analysis of dehydrated wastes revealed crude protein (0.50-25.94%), crude fat (0.36%-28.16%), and crude fiber (12.97-43.10%). Essential minerals (K, Ca, Mg, Zn, Cu) were present, while toxic metals were mostly below permissible limits. Phytochemical evaluation showed total phenolic contents of 1.85-9.47 mg Gallic Acid Equivalents/g and flavonoids of 1.38-21.82 mg Rutin Equivalents/g. Total antioxidant capacity ranged from 1.85-25.54 mg Ascorbic Acid Equivalents/g, and DPPH radical scavenging activity (IC

Indexed as

FruitIndustrial WasteAnanasAntioxidantsCaricaFlavonoidsFood HandlingFood, ProcessedMangiferaMineralsNutritive ValuePassifloraPhenolsSri LankaAntioxidantsFlavonoidsIndustrial WasteMineralsPhenolsfunctional activityindustrial fruit processing wasteproximate and mineral composition

Identifiers

PMID41709671
PMCPMC12917451

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.