Evidence map›Paper›PMID 42796501›Full record

ArticleMolecules (Basel, Switzerland)2026

Sequential Enzymatic Bioprocessing of Protein-Rich Unhairing-Liming and Lime-Fleshing Tannery Wastewater for the Production of Amino Acid-Based Plant Biostimulants.

Henoc Pérez-Aguilar, Víctor M Serrano-Martínez, Carlos Ruzafa-Silvestre, Alberto Vico, María Dolores Romero-Sánchez

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Henoc Pérez-AguilarINESCOP, Footwear Technology Centre, Pol. Ind. Campo Alto, C/Alemania, 102, 03600 Elda, Alicante, Spain.ORCID 0000-0001-8062-489X
Víctor M Serrano-MartínezINESCOP, Footwear Technology Centre, Pol. Ind. Campo Alto, C/Alemania, 102, 03600 Elda, Alicante, Spain.ORCID 0000-0003-2885-9231
Carlos Ruzafa-SilvestreINESCOP, Footwear Technology Centre, Pol. Ind. Campo Alto, C/Alemania, 102, 03600 Elda, Alicante, Spain.ORCID 0000-0001-5471-9318
Alberto VicoINESCOP, Footwear Technology Centre, Pol. Ind. Campo Alto, C/Alemania, 102, 03600 Elda, Alicante, Spain.ORCID 0000-0002-2085-1211
María Dolores Romero-SánchezINESCOP, Footwear Technology Centre, Pol. Ind. Campo Alto, C/Alemania, 102, 03600 Elda, Alicante, Spain.ORCID 0000-0003-0165-7752

Funding

Instituto Valenciano de Competitividad Empresarial IMI DSB/2026/10, AQUA2VAL II
6 · The paper itself

Abstract

The recovery of bioactive compounds from industrial wastewaters is a key strategy for improving resource efficiency and reducing the environmental impact of high-load effluents. In this work, two protein-rich tannery wastewater streams with different origins and compositions, unhairing-liming wastewater and lime-fleshing wastewater, were comparatively evaluated as secondary raw materials for the production of amino acid-based protein hydrolysates with potential biostimulant activity. Both streams were characterised in terms of physicochemical composition, mineral content and amino acid profile, and subsequently subjected to a comparative sequential enzymatic hydrolysis approach using endo- and exo-proteolytic enzymes. Alcalase, followed by Pancreatin, was selected as the most effective enzymatic system for both streams, although different optimal enzyme loadings were required depending on the wastewater composition. For unhairing-liming wastewater, the optimal conditions were 1.5% Alcalase and 1.0% Pancreatin, yielding 70.76 ± 1.95% hydrolysate, 80.87 ± 1.98% protein recovery and 11.42 ± 1.03% free amino acids. For lime-fleshing wastewater, 0.7% Alcalase and 1.0% Pancreatin provided 98.42 ± 1.97% yield, 92.19 ± 1.92% protein recovery and 16.97 ± 0.98% free amino acids. The two hydrolysates showed differentiated amino acid profiles, reflecting the keratin- and collagen-derived nature of the original streams. Germination assays indicated a growth-stimulating effect of the hydrolysates, increasing seed growth by up to 20.7% for the unhairing-liming wastewater hydrolysate at 0.10% (

Indexed as

Amino AcidsCalcium CompoundsOxidesTanningWastewaterHydrolysisIndustrial WasteSubtilisinsAmino AcidsCalcium CompoundsIndustrial WastelimeOxidesSubtilisinsWastewaterbeamhouse effluentscircular bioeconomyfree amino acidsplant biostimulantsprotein hydrolysatessequential enzymatic hydrolysistannery wastewaterwaste recovery

Identifiers

PMID42796501
PMCPMC13609197

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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.