Evidence map›Paper›PMID 27162377›Full record

ArticleJournal of food science and technology2016

Functional characterization and microencapsulation of probiotic bacteria from koozh.

Shankar Ilango, Ruby Pandey, Usha Antony

Abstract read
In one paragraph

Article in Journal of food science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Spray Drying Encapsulation ofFoods (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Synbiotic microencapsulation ofJournal of food science and technology · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Overexpression ofFrontiers in microbiology · 2018
    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

3 authors.

Shankar IlangoCentre for Food Technology, Anna University, Sardar Patel Road, Chennai, Tamil Nadu 600025 India.
Ruby PandeyAgricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur, West Bengal 723102 India.
Usha AntonyCentre for Food Technology, Anna University, Sardar Patel Road, Chennai, Tamil Nadu 600025 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Koozh is a traditional fermented millet beverage unique to south India. Analysis of six market samples of koozh for their microbial profile resulted in 69 isolates of presumptive lactic acid bacteria (LAB). They were grouped as Leuconostoc sp., Enterococcus sp., Streptococcus sp. and Lactobacillus sp. based on morphological characteristics and biochemical tests. Eight among them showed probiotic features: resistance to acid (2.5 pH for 6 h), resistance to 0.3 % ox bile, moderate hydrophobicity (40 %), antibacterial activity against 10 pathogens, susceptibility to 50 % of antibiotics tested. Sequencing of 16srDNA showed them to be five strains of Enterococcus hirae and one each of Enterococcus facecalis, Bacillus amyloliquefaciens and Lactobacillus plantarum. The probiotic isolates were encapsulated in skim milk powder by two different drying techniques: freeze drying and spray drying. The encapsulated probiotic isolates survived both in simulated gastric fluid and simulated intestinal fluid with high cell viability (98-99 %). Storage for 16 weeks at room temperature (27 °C), resulted in 2 log reduction, but better survival with only 1 log reduction was observed at 4 °C and was best at -20 °C. Survival of isolates was similar in both spray and freeze dried products.

Indexed as

Acid toleranceDryingFermented milletKoozhLactic acid bacteriaSimulated gut tolerance

Identifiers

PMID27162377
PMCPMC4837729

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.