來(lái)自南美的科學(xué)家,利用VideometerLab多光譜成像系統(tǒng),發(fā)表了題為Chlorophyll fluorescence as a new marker for peanut seed quality evaluation的文章。
葉綠素?zé)晒庾鳛榛ㄉN子品質(zhì)評(píng)價(jià)的新標(biāo)記
光學(xué)成像技術(shù)的最新進(jìn)展有助于種子質(zhì)量的快速、準(zhǔn)確和無(wú)損分析。本研究旨在驗(yàn)證葉綠素?zé)晒鈭D像作為分析花生種子生理潛力的新標(biāo)記的潛力。用人工老化0、16、24和48h的種子,分別在630/700nm和405/600nm的激發(fā)/發(fā)射組合中檢測(cè)葉綠素a和b的熒光信號(hào)。這些圖像是使用VideometerLab4設(shè)備(丹麥Herlev的Videometer a/S)及其軟件版本5.4.6拍攝的。將這些數(shù)據(jù)與傳統(tǒng)的發(fā)芽試驗(yàn)、電導(dǎo)率、出苗率和出苗速度指數(shù)等用于評(píng)價(jià)花生種子生理性能的試驗(yàn)進(jìn)行了比較。結(jié)果表明,活力較低的種子葉綠素a和b的熒光強(qiáng)度較低。因此,花生種子的變質(zhì)過(guò)程伴隨著葉綠素分子的分解,從而導(dǎo)致種子熒光特性的變化。從實(shí)用的角度來(lái)看,葉綠素?zé)晒鈭D像可以成功地快速、準(zhǔn)確、無(wú)損地鑒別高活力和低活力種子批次。
Chlorophyll fluorescence as a new marker for peanut seed quality evaluation
Recent advances in optical imaging technologies have contributed to rapid, accurate and non-destructive analysis in the context of seed quality. This work aimed to verify the potential of chlorophyll fluorescence images as a new marker for analyzing the physiological potential of peanut seeds. The fluorescence signals of chlorophyll a and b were detected in the excitation/emission combinations of 630/700 nm and 405/600 nm, respectively, using seeds artificially aged for 0, 16, 24 and 48 h. The images were captured using a VideometerLab4 equipment (Videometer A/S, Herlev, Denmark), and its software version 5.4.6. Data were compared with the traditional tests used to evaluate the physiological performance of peanut seeds, such as germination tests, electrical conductivity, seedling emergence and emergence speed index. The results revealed that the fluorescence intensity of chlorophyll a and b was lower in seeds with lower vigor. Therefore, the deterioration process of peanut seeds is accompanied by a breakdown of chlorophyll molecules, and consequently, changes in the fluorescent properties of seeds. From a practical point of view, chlorophyll fluorescence images can be successfully used to discriminate high-and low-vigor seed lots, quickly, accurately and non-destructively.
Figure 1. VideometerLab4 equipment used to analyze fluorescence images of chlorophyll a and b in peanut seeds with different vigor levels
Figure 4. RGB (Red-Green-Blue) images of peanut seeds artificially aged for 0, 16, 24, and 48 h and chlorophyll a fluorescence images captured at 630/700 nm excitation/emission combination (A), and chlorophyll b fluorescence images captured at 405/600 nm excitation/emission combination (B) after transformation by the nCDA algorithm, in which each pixel in the image is represented by a unique value that corresponds to the chlorophyll fluorescence intensity; higher pixel values indicate higher chlorophyll fluorescence intensity.