Impact of ultrasound-assisted germination and varied drying methods on phenolic biosynthesis, antioxidant capacity, and oxidative enzyme activity in selenium-biofortified black rice.

Muhammad Tayyab Rashid, Kunlun Liu, Nazish Muzaffar, Basim M Alohali, Mushtaque Ahmed Jatoi, Hazrat Usman, Rana Muhammad Aadil

Abstract read

PubMed Full text at PMC Publisher

In one paragraph

Article in Ultrasonics sonochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Synergistic Intensification of Bioactive Compounds in Germinated Brown Rice via Ultrasonic-Enzymatic Pretreatment: Multi-Objective Modeling Using RSM, ANN-GA, and ANN-PSO.ACS omega · 2026
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

7 authors.

Muhammad Tayyab RashidCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China; Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, Saint Paul, MN 55108, USA.

Kunlun LiuCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China. Electronic address: lkl@haut.edu.cn.

Nazish MuzaffarCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Basim M AlohaliDepartment of Food Science and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

Mushtaque Ahmed JatoiDepartment of Botany, Shah Abdul Latif University, Khairpur 66020 Sindh, Pakistan.

Hazrat UsmanDepartment of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, Saint Paul, MN 55108, USA.

Rana Muhammad AadilNational Institute of Food Science & Technology (NIFSAT), University of Agriculture, Faisalabad 38040 Punjab, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germinated black rice (GBR) is a nutrition-enriched product with growing consumer interest; however, drying is necessary for shelf life, which may compromise its quality. This study evaluated the effect of ultrasound (US) pretreatment combined with hot-air drying (HAD), infrared vacuum drying (IVD), and freeze-drying (FD) on the drying kinetics, phytochemicals, microstructure, and volatile composition of selenium-enriched GBR. Ultrasound significantly reduced drying time by 16.7 % in HAD and 14.8 % in IVD, with the Hii model providing the best fit for the drying kinetics (R

Indexed as

AntioxidantsDesiccationGerminationOryzaPhenolsSeleniumUltrasonic WavesOxidation-ReductionAntioxidantsPhenolsSeleniumBlack riceDryingPhenolicsPhytochemicalsUltrasoundVolatile

Identifiers

PMID41289826

DOI10.1016/j.ultsonch.2025.107692

PMCPMC12686892

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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.