Evidence map›Paper›PMID 42141227›Full record

ReviewEnvironmental science and pollution research international2026

Black Soldier Fly: A sustainable insect for waste valorisation and resource recovery.

Viralkumar B Mandaliya

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 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

1 author.

Viralkumar B MandaliyaDepartment of Microbiology, Marwadi University, Rajkot, Gujarat, India. viralmandaliya@gmail.com.ORCID http://orcid.org/0000-0001-5097-6990

Funding

National Science and Technology Entrepreneurship Development Board MU/NewGen/2023/14
6 · The paper itself

Abstract

The Black Soldier Fly (BSF) (Hermetia illucens) is globally acknowledged for its potential to transform organic waste into high-value products. The article has identified and evaluated the valuable produce from various stages of BSF, and comprehended the methods for valuable extractions. The innovative potential of BSF valuables is derived using Patentscope - a patent database from World Intellectual Property Organization (WIPO), Geneva. A total of 591 patent records were derived, and recent patents in year 2025 were summarized along with their key features. Following that, this narrative review has given special attention towards 169 targets of UN Sustainable Development Goals (SDG) attainment. On closure observation of all the reviewed literature, it is apparent that various researchers had aligned BSF valuables to a selected few SDGs only. Based on that, the present article focused on to BSF valuables mapping with 169 targets of all 17 SDGs. Each target in SDGs is quantified on a scale of 1 to 10 where, scale 1 is the lowest and 10 is the highest, while 0 is given where no connection is possible. BSF-based value chains show the highest contribution potential to SDG 12, 2, 9, 1 and 13 under the proposed scoring framework. This article derived the BSF success stories from fifteen nations. At the last, this article comprehended the policy intervention based on success stories and constrains to achieve targets of sustainable global goals. In a nutshell, this article worked out the innovations in BSF, and mapped successfully BSF valuable with 169 targets of 17 SDGs.

Indexed as

DipteraAnimalsConservation of Natural ResourcesSustainable DevelopmentBlack Soldier FlyHermetia illucensInsectPatentSustainable Development Goals

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.