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1 mode SPE clean-up with different sorbents in sample preparation.
2 tap water, rainwater, and seawater) with no sample preparation.
3 an be visually isolated quickly with minimal sample preparation.
4 ing sugars in potatoes, without the need for sample preparation.
5 d system endurance in combination with minor sample preparation.
6 d blood spot (DBS) samples with virtually no sample preparation.
7 s to investigate embalming materials without sample preparation.
8 pipetting platform was utilized for one-pot sample preparation.
9 itor and report the pH of suspensions during sample preparation.
10 ch as (LA)-ICPMS or coupled to a destructive sample preparation.
11 in a few minutes without additional tailored sample preparation.
12 es rapid, efficient, and highly reproducible sample preparation.
13 (165) concentration in serum without further sample preparation.
14 or SALDI-MS compared well to ultrafiltration sample preparation.
15 r system to conduct measurements without any sample preparation.
16 and digestion benchmarks the quality of the sample preparation.
17 l DNA into a PCR solution using our DM-based sample preparation.
18 alyze multiple cell populations from each EM sample preparation.
19 berglass collection wipes with no additional sample preparation.
20 ysis of biological samples with little or no sample preparation.
21 ntial time and human resources necessary for sample preparation.
22 ds are accessible within minutes without any sample preparation.
23 crowave-induced combustion was evaluated for sample preparation.
24 e entire method takes 5 h, including a 3.5-h sample preparation.
25 otocols, which do not require any additional sample preparation.
26 d, potentially as a result of differences in sample preparation.
27 f biological solid or liquid samples with no sample preparation.
28 th preliminary immunoaffinity chromatography sample preparation.
29 agents and without the digestion step in the sample preparation.
30 sign, production, encapsulation, and dTn-Seq sample preparation.
31 ble to or better than conventional stomacher sample preparation.
32 ns within the normal time scale of MALDI MSI sample preparation.
33 nts of purees can be obtained with a limited sample preparation.
34 o water background and requires little to no sample preparation.
35 ive cells is achieved in minutes without any sample preparation.
36 hemical composition were not affected by the sample preparation.
37 experimentally studied due to challenges in sample preparation.
38 of other liquid foods, without any need for sample preparation.
39 piked control to minimize mispairings due to sample preparation.
40 own of labile auxin-related compounds during sample preparation.
41 ation of analysis to less than 3 h including sample preparation.
42 experimental data in buffer solution with no sample preparation.
43 esidues using simple economic steps of field sample preparation.
44 a flowing process stream, without elaborate sample preparation.
45 down to 10 ng C) without the need of further sample preparation.
46 ons arising from batch effects and different sample preparations.
47 haracterization (variable timing), proteomic sample preparation (5-7 d), mass spectrometric data acqu
48 omplete protocol, including cell culture and sample preparation (6-7 d), SPEED imaging (4-5 h), data
49 -consuming, require bulky equipment, tedious sample preparation, a trained operator, cannot be miniat
50 ing a predefined protocol to standardize the sample preparation, acquisition, and data analysis param
51 ecovery, and artificial modifications during sample preparation also contribute to variability betwee
52 ddress this bottleneck, we combine automated sample preparation, an ultra-fast 84-second LC-MS method
54 cause this technique eliminates the need for sample preparation and allows the construction of custom
57 -level Pu isotopes in water requires offsite sample preparation and analysis; therefore, new methods
60 , reproducible, low-cost and high-throughput sample preparation and ChIP analysis of 96 samples (cell
61 However, even with microplate ChIP assays, sample preparation and chromatin fragmentation (which is
62 ocess, extra procedures may be needed during sample preparation and clean-up to address the issue of
64 ative and quantitative results, standardized sample preparation and data acquisition are of highest p
65 d internal controls for the quality check of sample preparation and data acquisition, which is partic
67 ructs for this purpose, honed a protocol for sample preparation and developed custom software that an
68 SD MS protein analysis involves only minimal sample preparation and does not require spectral deconvo
69 h/viability assays usually involve laborious sample preparation and expensive equipment or reagents.
71 s chemovars were used to study the effect of sample preparation and extraction methods on terpenoid p
75 ce significantly static contamination due to sample preparation and improved accuracy compared to usi
77 onance relaxometry (MRR) system with minimum sample preparation and is able to detect very low levels
80 thogonal as they utilized entirely different sample preparation and MS analysis workflows, targeted d
81 ased sample collection strategy with offline sample preparation and nanoLC-MS/MS to analyze proteins
82 ges of other common approaches by minimizing sample preparation and preserving endogenous modificatio
83 g an ambient ionisation process to eliminate sample preparation and provide near-instantaneous result
84 stems biology workflow employing plate-based sample preparation and rapid, single-run, data-independe
85 tomated Genetic Analyzer, performs automated sample preparation and RNA extraction, followed by ampli
86 hod employs point-of-use approaches both for sample preparation and sample measurement, demonstrating
92 c approaches, together with high-sensitivity sample preparation and tailored statistical data analysi
95 een reliant upon methods utilizing extensive sample preparations and chromatographic separations and/
96 the need for Protein A purification or other sample preparations and provides unbiased information on
98 a lack of reference spectra, difficulties in sample preparation, and an absence of two-dimensional (2
102 the analysis process, for example, sampling, sample preparation, and measurement, there is less known
103 eing up of fluorescence channels, simplified sample preparation, and the ability to re-process legacy
105 hile currently available methods for peptide sample preparation are mostly suitable for ex situ analy
107 Here, we take a look at the advancements in sample preparation as well as in the development of tech
109 cal systems; however, protein solubility and sample preparation before MS remain a bottleneck prevent
110 rs opened new perspectives for fast and easy sample preparation, but this was not fully exploited unt
111 d software on mobile devices, and circumvent sample preparation by directly targeting volatile biomar
112 r measurement of Hcrt1 in CSF with automated sample preparation by solid-phase extraction (SPE).
114 nal standards onto the tissue section during sample preparation can be used to improve the mass accur
116 is method of detection also requires minimal sample preparation, can be done in a solution-based form
117 r research applications because of a need of sample preparation, changes of cell wall composition dur
118 r, current approaches require time-consuming sample preparation, chromatographic separations, and con
121 traacetic acid (EDTA, metal chelator) during sample preparation could not only increase the extractab
122 typing studies, with detailed information on sample preparation, data acquisition and data modeling.
126 plied on our own NTA and SSA workflows where sample preparation efficiency and potential sources of e
128 orm that included continuous water sampling, sample preparation (extraction), and analysis for the de
132 ice (PepS) automating and accelerating blood sample preparation for bottom-up MS-based proteomics ana
133 reby providing access to highly reproducible sample preparation for common biological assays such as
134 ocal microscopy images, including optimizing sample preparation for fixed and live cells, choosing th
138 of food contact materials, the importance of sample preparation for nontarget screening should be add
141 ted out and verified with chemical analysis, sample preparation for smaller microplastic analysis is
142 te developed methodology, including a single sample preparation for the vitamins simultaneous analysi
143 al specimens is the current gold standard in sample preparation for ultrastructural analysis in X-ray
146 proposed methodology is a low cost, fast and sample preparation free methodology to highlights the EV
150 ns provide both qualitative and quantitative sample preparation guidelines that increase the chances
151 esults show that mechanical treatment during sample preparation has a profound effect on the melting
153 be developed for integrated in vivo sampling/sample preparation has been thoroughly optimized with re
154 such as time-consuming process, complicated sample preparation, high consumption of reagents and nee
155 tential to advance in situ RCA toward easier sample preparation, higher-order multiplexing, autofluor
157 ion, staining) that originate as a result of sample preparation; (ii) biological heterogeneity (e.g.
158 -EM single-particle analysis workflow (e.g., sample preparation, image acquisition and processing, an
160 omography phase mapping requires no specific sample preparation, in particular polishing or surface f
163 s are the norm but typically involve lengthy sample preparation including tissue homogenization, whic
164 untargeted metabolomics protocols, including sample preparation, instrumentation, data processing, et
165 f the limit of detection, the integration of sample preparation into the device and hence analysis di
172 buffers into eluent when several commercial sample-preparation kits are used following manufacturer
176 s on instrumentation that requires extensive sample preparation, long run times, and is destructive t
177 of the analysis and minimal requirement for sample preparation make PSI-MS a promising avenue for fu
180 timescales, through an optimal design of the sample preparation method and AFM parameters for faster
182 hilized, isothermal assays with a simplified sample preparation method independent of nucleic acid ex
184 However, this lipid-based approach used a sample preparation method that required more than a work
185 lved terahertz spectroscopy along with a new sample preparation method to determine the photoconducti
191 ication of membrane components, and then the sample preparation methodologies and data analysis strat
193 imized by testing different types of fibers, sample preparation methods and amounts, extraction tempe
196 For example, we do not know the optimal sample preparation methods or imaging conditions to coun
197 complex instrumentation involving extensive sample preparation methods, especially when sensing is p
199 igh sensitivity, fast response time, minimal sample preparation, miniaturization and ability for real
201 ochemical analysis are its low cost, minimal sample preparation, non-destructive nature and substanti
202 estigations because of its low cost, minimal sample preparation, non-destructive nature and substanti
204 n overview of NA-POCT platforms in regard to sample preparation of NA, NA amplification, NA detection
205 ing optimized proteoliposome isolation, cryo-sample preparation on graphene grids, and an efficient p
208 detection is often a necessary and critical sample preparation or purification step in many lab-on-a
211 a is polluted with off-sample ions caused by sample preparation, particularly by the MALDI (matrix-as
212 pectrometry (MS)-based proteomics, including sample preparation, peptide separation, and data analysi
215 affinity capture was employed as a universal sample preparation procedure applicable to both full-len
217 odologies, a consistent instrument model and sample preparation procedure is no longer a requirement.
218 m cell suspension without needing additional sample preparation procedures (e.g., molecular tagging)
219 t matrix) often utilized for optimization of sample preparation procedures and also instrumental cond
220 response testing methods by both simplifying sample preparation procedures and making a benchtop read
226 th a prototype effective and straightforward sample preparation protocol and delivers reliable peptid
231 analytical modalities through this universal sample preparation protocol offers the ability to study
233 ches by speeding up the classic filter aided sample preparation protocol, FASP, from overnight to 2.5
240 ing, need relatively large equipment, demand sample preparation, require a skilled operator, and lack
241 uent (demonstrating the reduction of tedious sample preparation requirements for biological samples p
242 hes will be useful to diversify the range of sample preparation schemes and analytical methods enable
244 f food and their interactivity, an effective sample preparation should be employed to extract these c
250 However, such approach requires several sample preparation steps and a dedicated laboratory envi
252 scheme involves the use of minimum reagents/sample preparation steps, has appreciable response in pr
253 t force nonoptimal modifications to upstream sample preparation steps, limit the throughput of high-v
254 med without the use of an organic solvent or sample preparation steps, with only the sample dilution
259 ersal" indicator, although considerations in sample preparation, storage, and applicability are discu
260 rfering compounds found in urine necessitate sample preparation strategies that are currently not sui
263 m (FIB) has a broad scope of applications in sample preparation such as protective layer deposition,
264 own platform by incorporating a microfluidic sample preparation system, termed nanoPOTS (nanodroplet
266 anually, thus creating the need for a simple sample preparation technique and a facile coupling strat
267 digestion procedure is chosen as an optimal sample preparation technique for the TXRF analysis of te
271 PE) is a general preconcentration method for sample preparation that can be performed on a variety of
272 hy (nanoLC) and, for histone proteins, a 2-d sample preparation that includes histone purification, d
274 ogy is simple and does not require extensive sample preparation, the throughput of such an approach i
276 nchmarking studies, OTTO showed accuracy and sample preparation times comparable to manual qPCR.
277 ng because of the difficulties in optimizing sample preparation to acquire critical MS data and detec
278 ry, fluorescent cell barcoding and automated sample preparation to characterize ex vivo signaling net
279 py, this protocol typically takes 2-3 d from sample preparation to data acquisition, with an addition
280 automated workflow for CIU experiments, from sample preparation to data interpretation using online s
281 terogeneous biological mixtures, methods for sample preparation to detect (1)H-, (13)C-, (15)N-, and
282 This study also examined the effect of the sample preparation to determine destructive factors infl
284 ctrometry (1D LC-MS/MS) workflow (i.e., from sample preparation to HCP identification) to be complete
285 detection as well as demonstrates SPME as a sample preparation tool for nucleic acid analysis in pla
286 ny target panel of genes without specialized sample preparation using any computer and a suitable GPU
292 tracts from reference bacterial strains, and sample preparation was optimized using mouse brain tissu
295 nucleic acid extraction is the first step of sample preparation, which remains one of the main challe
300 ring each step of a conventional in-solution sample preparation workflow using bicinchoninic acid (BC