Cited by 42Plasma Applications and DiagnosticsMicrobial Inactivation MethodsRadiation Effects and Dosimetry

Effect of plasma bubbling on free radical production and its subsequent effect on the microbial and physicochemical properties of Coconut Neera

Aparajhitha, S., Mahendran, R.·2019·Innovative Food Science & Emerging Technologies

Abstract

In this study, the effect of atmospheric pressure cold plasma on the physicochemical and antimicrobial properties of Coconut Neera – a natural sugar-rich health drink was evaluated. The drink was bubbled with plasma flowing at 5, 7 and 10 lph into 300 mL samples for 5 and 10 min at room temperatures of ~30 °C. The plasma input voltage was set at 150, 200 V and after treatment, pH, color and TSS of Neera were determined. The presence of OH radical was confirmed by EPR spectroscopy and qualitatively elucidated for every treatment combination to ascertain their role along with other free radicals in microbial inactivation (~80% reduction in CFU/mL). There was a considerable increase in pH (an increase of ~1.04) while the negligible change in color and TSS values. The nutritional profile, however, remained unchanged except for a slight decrease in vitamin C content (~4.7 mg/100 mL). Analogue thermal death time was calculated for the two given plasma treatments (30.51 and 13.8 min for 150 and 200 V respectively). The results from this study propose, plasma bubbling as a method for bulk sterilization for liquid foods that can be easily scaled up for industrial applications.This study demonstrated the potential application of plasma bubbling for free radical production and its effect on the inactivation of microbes while retaining the nutritional properties of liquid foods (Coconut Neera in this study). This research gives an insight into better interaction of plasma species while bubbling through liquids food systems. The plasma bubbling described in this work is relevant to the liquid food processing and basis for industrial implementation.

Integrity signals

Registry

Crossref · 10.1016/j.ifset.2019.102230

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Authors
Aparajhitha, S., & Mahendran, R.
Affiliations
National Institute of Food Technology, Entrepreneurship and Management - Thanjavur (IN)
Venue
Innovative Food Science & Emerging Technologies
Publisher
Elsevier BV
Published
2019-12
Volume
58
Pages
102230
ISSN
1466-8564 (ISSN-L)
OpenAlex
W2972980544
Cited by
42
References
1
Citations by year
2026: 3 · 2025: 6 · 2024: 5 · 2023: 7 · 2022: 9 · 2021: 9 · 2020: 3
FWCI
3.49
Type
journal article
Language
en
Open access
closed
Locations
Innovative Food Science & Emerging Technologies (publishedVersion)
Funders
Science and Engineering Research Board (EMR/2017/000247)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Plasma Applications and Diagnostics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Microbial Inactivation Methods
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Radiation Effects and Dosimetry
Keywords
cold atmospheric plasma, free radicals, hydroxyl radicals, microbial inactivation, thermal death time, vitamin C retention, pH change, non-thermal food processing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review