BACKGROUND: High anthocyanin content and the presence of other bioactive compounds are attractive characteristics of strawberry fruits for healthy consumption. OBJECTIVES: To characterize the anthocyanin content and the presence of other bioactive compounds, including anthocyanin (total and predominant types) andantioxidant activity; and to determine the physico-chemical fruit quality parameters of two new strawberry cultivars. METHOD: Fruits of two new hybrids were extracted and total anthocyanin and antioxidant activity were determined usinga UV-Vis spectrophotometer. Individual anthocyanins and vitamin C were measured using an HPLC. Physico-chemical characteristics of fruits were analyzed. RESULTS: Hybrid No. 4 line 5 and hybrid No. 4 line 26 are two potential new strawberry cultivars that are rich in anthocyanins. The total anthocyanin contents of these two hybrids were approximately 31–38 mg/100 g FW with no significant differences between them. Cyanidin 3-glucoside and pelargonidin 3-glucoside were foundat amounts of approximately 15–24 mg/kgFW and 332–478 mg/kg FW, respectively. Total phenolic compounds and FRAP activity of the two hybrids were approximately 2295–2579 mg GAE/kgFWand 27–30 mmol Fe2 +/kg FW, respectively. CONCLUSION: The two new hybrid strawberry lines, hybrid No. 4 line 5 and No. 4 line 26, when compared to the parents, had higher levels of bioactive compounds, especially anthocyanins, total phenolics, and FRAP, together with improved physico-chemical quality, and higher vitamin C content. These results indicate a considerable potential of these hybrids for commercial cultivation in Thailand and other production regions.
Near-infrared (NIRS) spectroscopy, coupled with partial least squares
regression, was used to predict adenosine and cordycepin concentrations
in fruiting bodies of
Cordyceps militaris
. The fruiting body samples were prepared in four different sample
formats, which were intact fruiting bodies, chopped fruiting bodies,
dried powder, and dried crude extract. The actual amount of the adenosine
and cordycepin concentrations in fresh fruiting bodies was analyzed
by high-performance liquid chromatography. Results showed that the
prediction models developed from the chopped samples provided excellent
accuracy in both parameters with minimal sample preparation. These
optimum models provided a coefficient of determination of prediction,
standard error of prediction, bias, and residual predictive deviation,
which were respectively 0.95, 16.60 mg kg
–1
, –8.57
mg kg
–1
, and 5.04 for adenosine prediction, and
0.98, 181.56 mg kg
–1
, –1.05 mg kg
–1
, and 8.9 for cordycepin prediction. The accuracy and performance
of the model were determined by ISO12099:2017(E). It was found that
these two equations can be considered to be acceptable at a probability
level of 95% confidence. The NIRS technique, therefore, has the potential
to be an objective method for determining the adenosine and cordycepin
concentrations in
C. militaris
fruiting
bodies.
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