Practical application of the patient data-based quality control method: the potassium example.

Introduction: Internal quality control (IQC) is a core pillar of laboratory quality control strategies. Internal quality control commercial materials lack the same characteristics as patient samples and IQC contributes to the costs of laboratory testing. Patient data-based quality control (PDB-QC) may be a valuable supplement to IQC; the smaller the biological variation, the stronger the ability to detect errors. Using the potassium concentration in serum as an example study compared error detection effectiveness between PDB-QC and IQC. Materials and methods: Serum potassium concentrations were measured by using an indirect ion-selective electrode method. For the training database, 23,772 patient-generated data and 366 IQC data from April 2022 to September 2022 were used; 15,351 patient-generated data and 246 IQC data from October 2022 to January 2023 were used as the testing database. For both PDB-QC and IQC, average values and standard deviations were calculated, and z-score charts were plotted for comparison purposes. Results: Five systematic and three random errors were detected using IQC. Nine systematic errors but no random errors were detected in PDB-QC. The PDB-QC showed systematic error warnings earlier than the IQC. Conclusions: The daily average value of patient-generated data was superior to IQC in terms of the efficiency and timeliness of detecting systematic errors but inferior to IQC in detecting random errors.

[Cerebrosides isolated from Arisaema flavum].

Silica gel, Sephadex LH-20, and reverse phase (C-18) column chromatography were used for the research of chemical constituents occurred in Arisaema flavum(Forsk.) Schott. The structures were elucidated by comparison physico-chemical properties and NMR spectroscopic data with those of known compounds. Seventeen cerebrosides were identified as 1-O-ß-D-glucopyranosyl-(2S, 3R, 4E, 8E)-2-[(2'(R)-acetoxyoctadecanoyl)amido]-4, 8-octadecadiene-1, 3-diol (1), 2'-O-acetylsoyacerebroside I (2), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 13Z)-2-[(2'R)-2-hydroxytetradecanoylamino]-1, 3-dihydroxy-4, 13-docosadiene (3), (2S, 3R, 4E, 8E)1-(ß-D-glucopyranosyl)-3-hydroxy-2-[(R)-2'-hydroxyhexadecanoyl]amino-9-methyl-4, 8-heptadecadiene (4), (2S, 3R, 4E, 8E)1-(ß-D-glucopyranosyl)-3-hydroxy-2-[(R)-2'-hydroxyhexadecanoyl]amino-9-methyl-4, 8-octadecadiene (5), (2S, 3R, 4E, 8E)1-(ß-D-glucopyranosyl)-3-hydroxy-2-[(R)-2'-hydroxypalmitoyl]amino-9-methyl-4, 8-octadecadiene (6), (2S, 3R, 4E, 8E)1-(ß-D-glucopyranosyl)-3-hydroxy-2-[(R)-2'-hydroxyoctadecanoyl]amino-9-methyl-4, 8-octadecadiene (7), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 8E)-2-[(R)-2'-hydroxytetradecanoylamino]-4, 8-octadecadiene-1, 3-diol (8), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 8E)-2-[(R)-2'-hydroxypentadecanoylamino]-4, 8-octadecadiene-1, 3-diol (9), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 8E)-2-[(R)-2'-hydroxyhexadecanoylamino]-4, 8-octadecadiene-1, 3-diol (10), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 8Z)-2-[(R)-2'-hydroxyhexadecanoylamino]-4, 8-octadecadiene-1, 3-diol (11), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E, 8E)-2-[(R)-2'-hydroxyoctadecanoylamino]-1, 3-hydroxy-4, 8-octadecadiene (12), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4E)-2-[(R)-2'-hydroxytetracosanoylamino]-1, 3-hydroxy-4-hexadecane (13), 1-O-(ß-D-glucopyranosyl)-(2S, 3R, 4R, 8Z)-2N-[(2'R)-2'-hydroxytetracosanoyl]-8-(Z)-octadecene-1, 3, 4-triol (14), 1-O-(ß-D-glucopyranosyl)-(2S, 3S, 4E, 8E)-2N-[(2'R)-2'-hydroxyhexadecanoyl]-4-(E), 8-(Z)-octadecadiene-1, 3-diol (15), typhoniside A (16), and 1-O-ß-D-glucopyranosyl-(2S, 3R, 8E)-2-[(2'R)-2-hydroxypalmitoylamino]-8-octadecene-1, 3-diol (17). Compounds 1 and 2 were isolated from the plant for the first time, while the remained compounds were isolated from the genus Arisaema for the first time.

[Triterpenes from aerial parts of Clematoclethra scandens subsp. actinidioides].

To study the chemical constituents of Clematoclethra scandens subsp. actinidioides, chromatographic methods such as silica gel and MCI column chromatographic technology, and preparative HPLC were used and sixteen compounds were isolated from the aerial parts of this plant. By using spectroscopic techniques including 1H, 13C-NMR, HMBC and ESI-MS, these compounds were identified as betulinic acid (1), ursolic acid (2), oleanic acid (3), corosolic acid (4), 3beta-(trans-p-coumaroyloxy)-2alpha, 23-dihydroxyurs-12-en-28-oic acid (5), 3beta-(trans-p-coumaroyloxy)-2alpha, 23-dihydroxyurs-12, 20 (30)-dien-28-oic acid (6), 2alpha, 3alpha, 23-trihydroxyurs-12, 20 (30)-dien-28-oic acid (7), 2alpha, 3alpha, 23-trihydroxyurs-12-en-28-oic acid (8), asiatic acid (9), 2alpha, 3alpha, 24-tri-hydroxyurs-12-en-28-oic acid (10), 2alpha, 3beta, 23-trihydroxyurs-12, 20 (30)-dien-28-oic acid (11), 2alpha, 3beta, 19alpha, 24-tetrahydroxyurs-12-en-28-oic acid (12), 2alpha, 3alpha, 19alpha, 24-tetrahydroxyurs-12-en-28-oic acid (13), 2alpha, 3beta, 23, 24-tetrahydroxyurs-12-en-28-oic acid (14), 2alpha, 3alpha, 19alpha, 23, 24-pentahydroxyurs-12-en-28-oic acid (15) and daucosterol (16). Among them, compounds 3-6, 11-12, 14 and 15 were isolated from this endemic plant for the first time.

Three new phenolic compounds from the leaves of Rosa sericea.

Two new flavonoids, quercetin-3-O-ß-d-xylopyranosyl-(1→2)-α-d-ribopyranoside (1) and kaempferol-3-O-ß-d-xylopyranosyl-(1→2)-α-d-ribopyranoside (2), and one new phenolic derivative, gallicin-p-O-(6'-O-caffeoyl)-ß-d-glucoside (3), together with twelve known compounds were isolated from the leaves of Rosa sericea (Rosaceae family). The structures of the new compounds were established by means of spectroscopic analysis including one- and two-dimensional NMR spectroscopy. Some of the isolated compounds were tested for the cytotoxicity of a breast cancer cell (MCF-7) line. The results showed that rubanthrone A (4) has moderate cytotoxicity against the MCF-7 cell line.