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The CBM30A is a compact bioprocessing monitor developed by Thermo Fisher Scientific. It is designed to provide real-time monitoring of critical parameters in bioprocessing applications. The device measures pH, dissolved oxygen, and temperature, and can be used to support process optimization and control.

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12 protocols using cbm30a

1

Metabolomics Analysis of Tuber Flesh

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The tubers sliced to 1 mm thickness was crushed using a mixer mill (MM400, Retsch) with a zirconia bead for 1.5 min at 30 Hz. 100 mg flesh powder was extracted overnight at 4 °C with 1.0 ml 70% aqueous methanol. The sample extracts were analyzed using an LC-ESI-MS/MS system (HPLC, Shim-pack UFLC SHIMADZU CBM30A, MS, Applied Biosystems 6500 Q TRAP). The metabolomics approach was according to Yan et al. [67 (link)] with some modification.
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2

Untargeted Metabolomics Profiling Protocol

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An UPLC (Shim-pack UFLC SHIMADZU CBM30A, Shanghai, China) and MS/MS (Applied Biosystems 4500 QTRAP, Foster City, CA, USA) platform was used for the untargeted metabolomics profiling, operation, and data processing methods as previously described [77 (link)]. To compare the metabolite contents of different samples, we calibrated the mass spectrum peaks for each metabolite in the analyzed samples based on the retention times and peak types. Multivariate statistical methods of OPLS-DA were used to maximize the metabolomic differences among samples. The relative importance of each metabolite to the OPLS-DA model was evaluated using the VIP scores. Metabolites with a fold-change ≥ 2.0 or ≤0.50 and a VIP score ≥ 1.0 were considered to be significantly differentially abundant metabolites. The identified metabolites were annotated based on the KEGG compound database and assigned to KEGG pathways (http://www.kegg.jp/kegg/, accessed on 29 December, 2019). The significance of the enrichment of these pathways was determined based on hypergeometric test p values.
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3

Metabolomic Profiling of Biological Samples

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All samples were analyzed by a UPLC-MS/MS system (Shim-pack UFLC SHIMADZU CBM30A and Applied Biosystems 6500 QTRAP). A scheduled multiple reaction monitoring method was used to metabolite quantification.
Based on the self-built MWDB database (Metware Biotechnology Co., Ltd., Wuhan, China) and a public database of metabolite information, the fundamental and secondary MS records had been qualitatively analyzed using Analyst 1.6.3. The identified metabolites with significant difference in content were set with 0.5 ≥ fold change ≥ 0 or a fold change ≥ 2, p-value < 0.05, and VIP ≥ 1 were considered DAFs. Finally, the KEGG pathway database (http://www.kegg.jp/kegg/pathway.html) and MWDB were centered on metabolic reactions and concatenated possible metabolic pathways.
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4

Metabolomic and Lipidomic Analysis of Plant Responses

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After sample treatment and collection, a widely targeted metabolomics analysis was conducted at MetWare Biotechnology Co. Ltd (Wuhan, China) on the basis of a previously described method [12 ]. In brief, samples were ground into powder and then 100 mg powder was extracted in 1.0 mL of 70% aqueous methanol overnight at 4°C. Next, the extract was absorbed and filtered for further analysis using a UPLC–ESI–MS/MS system. This system was a combination of UPLC (Shim-pack UFLC, Shimadzu CBM30A system) and MS (Applied Biosystems 4500 Q TRAP). The conditions for the UPLC and MS were as described previously [12 ]. The MetWare database (MWDB) was used to identify the metabolites. The abundance of metabolites was calculated based on their peak areas. Metabolites with change in relative abundance >2-fold between −Pi and +Pi treatments, as well as variable importance in project (VIP) >1.0, were defined as DAMs. Lipidomic analysis was conducted at MetWare Biotechnology Co. Ltd (Wuhan, China) according to previously described methods [48 ].
Targeted determination of ATP, ADP, phosphoenolpyruvate (PEP), fructose 6-phosphate (F6P), and glucose 6-phosphate (G6P) using an LC–MS/MS system was performed at Shanghai Applied Protein Technology Co. Ltd (Shanghai, China) based on published methods [49 (link)]. Each treatment in this experiment had five biological replicates.
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5

LC-ESI-MS/MS Analysis of Nonvolatile Compounds

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Nonvolatile compounds were identified using an LC-ESI-MS/MS system (HPLC, Shim-pack UFLC SHIMADZU CBM30A, Kyoto, Japan; MS, Applied Biosystems 6500 Q TRAP, Kyoto, Japan). For the HPLC conditions, the chromatographic column used was Waters ACQUITY UPLC HSS T3 C18 (2.1 mm × 100 mm, 1.8 µm, Waters Company, Milford, MA, USA). For the mobile phase, phase A was 0.04% acetic acid, and phase B was acetonitrile solution containing 0.04% acetic acid. The elution gradient of phase B was 0.00–11.00 min, 5–95%, maintained at 95%, 1.00 min; 11.00–12.10 min, 95–5%, and balanced at 5% until 15.00 min. The flow rate was 0.4 mL/min, the column temperature was 40 °C, and the injection volume was 2 μL.
For the mass spectrometry parameters, the electrospray ionization (ESI) temperature was 500 °C, the mass spectrum voltage was 5500 V, the curtain gas (CUR) was 25 psi, and the parameter of the collision-activated dissociation (CAD) was set to high. In the triple quadrupole, each ion pair was scanned and detected according to the optimized declustering potential (DP) and collision energy (CE).
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6

Metabolomic Analysis of Biological Samples

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The sample used in the metabolomic analysis was the same as the sample used for RNA‐seq. Metabolite extraction was conducted according to the manufacturer's instruction (Wuhan MetWare Biotechnology Co., Ltd., Wuhan, China), and metabolomic analysis was carried out using UPLC‐MS/MS (UPLC: Shim‐pack UFLC SHIMADZU CBM30A, Kyoto, Japan; MS/MS: Applied Biosystems 4500 Q TRAP, Foster City, CA, USA) according to the method described in our previous study (Ding et al., 2019a (link)). Three independent biological replications were performed. The identified metabolites were annotated using the metware database (http://www.metware.cn). Differential metabolites between groups were determined by ¦Log2FC¦ ≥ 1 and VIP ≥1.
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7

Metabolite Profiling of Plant Extracts

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The freeze-dried fronds were grounded with zirconia beads by a mixer mill (MM 400, Retsch) at 30 Hz for 1.5 min. The powder (100 mg) was weighed and dissolved with 1.0 mL 70% methanol and extracted at 4°C overnight. After centrifugation at 10,000 g for 10 min, the sample extracts (supernatant) were collected and filtered by 0.22 μm pore size millipore filters, and then analyzed by an LC-MS/MS system (UPLC, Shim-pack UFLC SHIMADZU CBM30A, MS/MS Applied Biosystems 6500 QTRAP). Metabolites were identified by comparing the m/z values, the retention time (RT), and the fragmentation patterns with the standards in the database, and metabolites quantitate analysis was performed by MRM (multiple reaction monitoring) (Dong et al., 2019 (link)). QC samples were exported to analyze the sample repeatability under the same treatment. According to the result of OPLS-DA, the VIP (variable importance in the project) score was used to screen the significantly changed metabolites (SCMs). Differential metabolites with VIP ≥ 1, fold change ≥ 2, and fold change ≤ 0.5 were filtered as significantly changed metabolites. The MRM was carried out by Metware Biotechnology Co., Ltd. (Wuhan, China).
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8

Liquid Chromatography-Mass Spectrometry Protocol

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The sample extracts were analyzed using an Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (LC-ESI–MS/MS) system (HPLC, Shimpack UFLC Shimadzu CBM30A, Kyoto, Japan; MS, Applied Biosystems 6500 Q TRAP). The analytical conditions were as follows, HPLC: Column, Waters ACQUITY UPLC HSS T3 C18 (1.8 µm, 2.1 mm × 100 mm); Solvent system, water (0.04% acetic acid): Acetonitrile (0.04% acetic acid); gradient program, 95:5 V/V at 0 min, 5:95 V/V at 11.0 min, 5:95 V/V at 12.0 min, 95:5 V/V at 12.1 min, 95:5 V/V at 15.0 min; flow rate, 0.40 mL/min; temperature, 40 °C; injection volume: 2 μL. The effluent was alternatively connected to an ESI-triple quadrupole-linear ion trap (Q TRAP)-MS. After each injection, the needle was rinsed with 600 μL of weak wash solution (water/methanol: 90:10) and 200 μL of strong wash solution (methanol/water: 90:10). The samples were maintained at 6 °C during analysis.
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9

UPLC-MS/MS Analysis of Metabolites

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An ultrahigh-performance liquid chromatography (UPLC, Shim-pack UFLC SHIMADZU CBM30A)-tandem mass spectrometry (MS/MS, Applied Biosystems 4500, QTRAP) system was used for sample analysis. First, a UPLC system, a Waters ACQUITY UPLC HSS T3 C18 column (2.1 mm× 100 mm, 1.8 μm particle size) was used to separate the components (Waters, Herts, UK). The column temperature was 40 °C, and the flow rate was 0.4 mL/min. The mobile phase consisted of solvent A (water containing 0.04% acetic acid) and solvent B (acetonitrile containing 0.04% acetic acid). The gradient elution conditions were as follows: 0 min, 95:5 V/V (A/b); 0 min, 5:95 V/V; 0 min, 5:95 V/V; 1 min, 95:5 V/V; and 15.0 minutes, 95:5 V/v.
High-resolution MS/MS was used to detect the components separated by UPLC. The temperature of the electrospray ionization was 550 degrees. The MS voltage was 5500 v. The curtain gas was 25 psi. The collision activation dissociation was set to high. After the component analysis, the mass spectrum peaks needed to be corrected. The multiple reaction monitoring (MRM) mode of the triple quadrupole mass spectrometry was used for quantification of the metabolites.13 (link) Mixed samples were used for the quality control and repeatability of the testing instruments.
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10

Palmitoyl Carnitine Quantification in BAT

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Quantitative analysis of palmitoyl carnitine was carried out as previously descripted.[50] The fresh BAT tissue or brown adipocytes were sent to Metware Biotechnology Co., Ltd. (Wuhan, China) for LC–MS/MS analysis. The sample extracts were analyzed using a liquid chromatography electrospray tandem mass spectrometry (LC–ESI–MS/MS) system (ultra performance liquid chromatography, UPLC, Shim‐pack; ultrafast liquid chromatography, UFLC, SHIMADZU CBM30A; MS/MS, Applied Biosystems 6500 QTRAP). Palmitoyl carnitine was analyzed using scheduled multiple reaction monitoring.
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