Evidence map›Paper›PMID 40728701›Full record

ReviewBioresources and bioprocessing2025

Sustainable lactic acid production from agricultural waste: a review of current techniques, challenges and future directions.

Nurasyikin Abdul Rahman, Zainab Ngaini, Saba Farooq, Sabrina Chua Ai Ling, Puteri Nabilah Jefree Shahren

Abstract readReview
In one paragraph

Review in Bioresources and bioprocessing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Nurasyikin Abdul RahmanFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, 94300, Malaysia.
Zainab NgainiFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, 94300, Malaysia. nzainab@unimas.my.ORCID http://orcid.org/0000-0001-7243-6856
Saba FarooqFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, 94300, Malaysia.
Sabrina Chua Ai LingFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, 94300, Malaysia.
Puteri Nabilah Jefree ShahrenFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, 94300, Malaysia.

Funding

Malaysian Pepper Board NAT/F07/LLM/86248/2023
6 · The paper itself

Abstract

The increasing demand for lactic acid (LA), driven by its applications in biodegradable plastics, food additives, pharmaceuticals, and cosmetics, necessitates the development of sustainable production methods. Traditional processes often rely on food-based feedstock, aggravating food security concerns. This review addresses the critical gap in utilising agricultural waste as a non-food feedstock for LA production, thereby reducing waste and promoting a circular economy. Current techniques are thoroughly explored, including fed-batch, batch, and continuous fermentation procedures, as well as the utilisation of various microbial strains, including Lactobacillus species. Recent developments in genetic engineering and innovative fermentation techniques are discussed, alongside challenges such as substrate variability and contamination. By highlighting the potential of agricultural residues, such as sugarcane bagasse, rice husk and corn stover, this review provides a roadmap for future research and industrial applications to enhance sustainability and efficiency in LA production.

Indexed as

BiodegradationFoodGreenLignocelluloseSynthesis

Identifiers

PMID40728701
PMCPMC12307837

What OpenQuestion 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 OpenQuestion graph.