Evidence map›Paper›PMID 36144266›Full record

ArticleMetabolites2022

Sugarcane Metabolome Compositional Stability in Pretreatment Processes for NMR Measurements.

Yasuhiro Date, Chiaki Ishikawa, Makoto Umeda, Yusuke Tarumoto, Megumi Okubo, Yasuaki Tamura, Hiroshi Ono

Abstract read
In one paragraph

Article in Metabolites, 2022. 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
–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

4 citing papers in PubMed.

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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.

Yasuhiro DateResearch Center for Advanced Analysis, National Agriculture and Food Research Organization, Tsukuba 305-8642, Japan.ORCID 0000-0001-9645-4370
Chiaki IshikawaInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba 305-8642, Japan.
Makoto UmedaKyushu-Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Nishinoomote 891-3102, Japan.
Yusuke TarumotoKyushu-Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Nishinoomote 891-3102, Japan.
Megumi OkuboKyushu-Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Nishinoomote 891-3102, Japan.
Yasuaki TamuraKyushu-Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Nishinoomote 891-3102, Japan.
Hiroshi OnoResearch Center for Advanced Analysis, National Agriculture and Food Research Organization, Tsukuba 305-8642, Japan.

Funding

Japan Society for the Promotion of Science KAKENHI JP21K05553Ministry of Agriculture, Forestry and Fisheries of Japan JPJ008617. 18063550
6 · The paper itself

Abstract

Sugarcane is essential for global sugar production and its compressed juice is a key raw material for industrial products. Sugarcane juice includes various metabolites with abundances and compositional balances influencing product qualities and functionalities. Therefore, understanding the characteristic features of the sugarcane metabolome is important. However, sugarcane compositional variability and stability, even in pretreatment processes for nuclear magnetic resonance (NMR)-based metabolomic studies, remains elusive. The objective of this study is to evaluate sugarcane juice metabolomic variability affected by centrifugation, filtration, and thermal pretreatments, as well as the time-course changes for determining optimal conditions for NMR-based metabolomic approach. The pretreatment processes left the metabolomic compositions unchanged, indicating that these pretreatments are compatible with one another and the studied metabolomes are comparable. The thermal processing provided stability to the metabolome for more than 32 h at room temperature. Based on the determined analytical conditions, we conducted an NMR-based metabolomic study to discriminate the differences in the harvest period and allowed for successfully identifying the characteristic metabolome. Our findings denote that NMR-based sugarcane metabolomics enable us to provide an opportunity to collect a massive amount of data upon collaboration between multiple researchers, resulting in the rapid construction of useful databases for both research purposes and industrial use.

Indexed as

harvest periodmachine learningmetabolite compositionmetabolomicsnuclear magnetic resonancesugarcane juicesupport vector machine

Identifiers

PMID36144266
PMCPMC9503584

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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.