Evidence map›Paper›PMID 34517584›Full record

ArticleTalanta2021

Development and validation of a micro-QuEChERS method with high-throughput enhanced matrix removal followed with UHPLC-QqQ-MS/MS for analysis of raspberry ketone-related phenolic compounds in adipose tissues.

Bo Yuan, Danyue Zhao, Weiting Lyu, Zhiya Yin, Dushyant Kshatriya, James E Simon, Nicholas T Bello, Qingli Wu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Talanta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Metabolic gene signature in white adipose tissue of oral doses raspberry ketone [4-(4-hydroxyphenyl)-2-butanone] that prevent diet-induced weight gain and induce loss of righting reflex.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023
    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

8 authors at 1 institution in 2 countries.

Bo YuanNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA.
Danyue ZhaoNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong. Electronic address: daisydy.zhao@polyu.edu.hk.
Weiting LyuNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Zhiya YinNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA.
Dushyant KshatriyaDepartment of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA.
James E SimonNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Nicholas T BelloDepartment of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA.
Qingli WuNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA. Electronic address: qlwu@sebs.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Method optimization and validation to assess the in vivo bioavailability and metabolism of raspberry ketoneR01AT008933 · NCCIH · RUTGERS, THE STATE UNIV OF N.J. · PI BELLO, NICHOLAS T · 2017 to 2021
$1.8M
NCCIH NIH HHS R01 AT008933
6 · The paper itself

Abstract

Raspberry ketone (RK) is a major flavor compound in red raspberries, and it has been marketed as a popular weight-loss dietary supplement with high potential in accumulating in fatty tissues. However, challenges in extracting and characterizing RK and its associated phenolic compounds in fatty tissues persist due to the complex matrix effect. In this work, we reported a high-throughput sample preparation method for RK and 25 related phenolic compounds in white adipose tissues using an improved micro-scale QuEChERS (quick, efficient, cheap, easy, rugged and safe) approach with enhanced matrix removal (EMR)-lipid cleanup in 96-well plates, followed by UHPLC-QqQ-MS/MS analysis. The absolute recovery was 73-105% at the extraction step, and achieved 71-96% at the EMR cleanup step. The EMR cleanup removed around 66% of total lipids in the acetonitrile extract as profiled by UHPLC-QTOF-MS/MS. The innovative introduction of a reversed-phase C18 sorbent into the extract significantly improved the analytes' recovery during SpeedVac drying. The final accuracy achieved 80-120% for most analytes. Overall, this newly developed and validated method could serve as a powerful tool for analyzing RK and related phenolic compounds in fatty tissues.

Indexed as

ButanonesTandem Mass SpectrometryChromatography, High Pressure LiquidPhenolsSolid Phase ExtractionButanonesPhenolsraspberry ketoneBioavailabilityFatty tissueLipid removalRaspberry ketoneSolid phase extractionUHPLC-QqQ-MS/MS

Identifiers

PMID34517584
PMCPMC8441007
OpenAlexW3180167342

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.