Evidence map›Paper›PMID 36278137›Full record

ArticleFood science and biotechnology2022

Preparation of anthocyanin-rich mulberry juice by microwave-ultrasonic combined pretreatment.

Kaiqian Xu, Gongjian Fan, Caie Wu, Andi Suo, Zhihao Wu

Abstract read
In one paragraph

Article in Food science and biotechnology, 2022. 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. Review
  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.

Kaiqian XuCollege of Light Industry and Food Engineering, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, 210037 Jiangsu People's Republic of China.
Gongjian FanCollege of Light Industry and Food Engineering, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, 210037 Jiangsu People's Republic of China.
Caie WuCollege of Light Industry and Food Engineering, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, 210037 Jiangsu People's Republic of China.ORCID 0000-0002-1126-5464
Andi SuoCollege of Light Industry and Food Engineering, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, 210037 Jiangsu People's Republic of China.
Zhihao WuCollege of Light Industry and Food Engineering, Nanjing Forestry University, 159 Longpan Road, Xuanwu District, Nanjing, 210037 Jiangsu People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The work aims to study the process of microwave-ultrasonic combined treatment to obtain anthocyanin-rich mulberry juice. A Box-Behnken design was employed to analyze the effects of microwave time and citric acid content on the total phenol content, total anthocyanin content, hue, color intensity, DPPH and ABTS radical scavenging activities. Under the optimum conditions (microwave time of 46 s, citric acid addition of 273 mg/kg), the total phenol content, total anthocyanin content, the DPPH and ABTS radical scavenging activities reached 4.24 mg GAE/mL, 3.29 mg C3G/mL, 4.59 mg TE/mL and 11.90 mg TE/mL, respectively. Subsequently, the mulberry juice was processed with ultrasound of different frequencies. It was found that low-frequency ultrasonic treatment (25 kHz) could significantly reduce the loss of total phenolic and anthocyanin monomers and improve the antioxidant capacity of mulberry juice during storage for five weeks. Overall, mulberry juice with microwave-ultrasonic pretreatment is a natural antioxidant.

Indexed as

AntioxidantMicrowave-ultrasonic combined treatmentMulberry juiceOptimizationPhenol

Identifiers

PMID36278137
PMCPMC9582177

What OpenQuestion holds

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Registered trials

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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.