Laser & Optoelectronics Progress, Volume. 57, Issue 13, 133001(2020)

Pollen Detection and Classification Method via Raman Spectroscopy

Xinyi Cao1, Shangzhong Jin1,2、*, Bin Hou1, Zhihui Chen1, and Yun Wang1
Author Affiliations
  • 1College of Optical and Electronic Technology, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2Key Laboratory of Zhejiang Province on Modern Measurement Technology and Instruments, Hangzhou, Zhejiang 310018, China
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    Figures & Tables(9)
    Raman spectroscopy of pollen of Ophiopogon japonicus excited by different wavelengths
    Raman spectroscopy pretreatment process of Salvia elata pollen. (a) Original Raman spectroscopy; (b) smoothing treatment; (c) baseline correction; (d) normalization
    Prediction results of interfamily pollen by SVM
    Classification results of 6 Rosaceae pollen by SVM
    Raman spectroscopy comparison of 5 typical Compositae pollen with Magnoliaceae (Michelia maudiae Dunn) and Pinaceae (Pinus parviflora)
    Raman spectroscopy of Calendula
    • Table 1. Main Raman characteristic peaks of 28 inter-family pollen samples

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      Table 1. Main Raman characteristic peaks of 28 inter-family pollen samples

      Category labelNameFamilies/GenusMain Raman characteristic peak /cm-1
      1Liriope spicataLiliaceae/Liriope Lour718,854,1001,1128,1185,1270,1358,1446,1602,1629
      2Lysimachia candida LindlPrimulaceae Batsch Borkh/Lysimachia495,598,1000,1031,1166,1251,1307,1362,1440,1602,1660
      3SaiviaofficinalisLabiatae/Salvia Linn621,643,716,858,1000,1034,1158,1307,1444,1602,1665
      4Rhododendron simsii PlanchEricaceae Juss/Rhododendron L622,1001,1035,1166,1027,1314,1447,1601,1663
      5OleanderApocynaceae Juss/Nerium L623,1005,1036,1157,1206,1311,1448,1526,1601,1665
      6PansyViolaceae/Viola384,498,624,1001,1034,1153,1201,1211,1311,1376,1148,1600,1663
      7HibiscusMalvaceae/Hibiscus480,784,866,943,1005,1035,1084,1127,1265,1340,1454,1565,1611,1658
      8Sedum lineareCrassulaceae/Sedum624,647,724,1001,1034,1158,1311,1449,1528,1604,1666
      9Dahlia pinnateCompositae/Dahlia956,1000,1154,1193,1278,1351,1447,1517,1597
      10WintersweetCalycanthaceae/Chimonanthus520,605,716,1001,1305,1362,1436,1566,1603,1656
      11Eustoma grandiflorumGentianaceae/Lisianthus russellianus879,963,1005,1158,1193,1275,1444,1524,1600
      12Verbena hybridaVerbenaceae/Verbena622,850,1002,1035,1169,1321,1453,1603,1668
      13Aquilegia viridifloraRanunculaceae/Aquilegia520,602,640,714,853,1002,1158,1307,1361,1448,1569,1660,1659
      14Michelia maudiaeMagnoliaceae/Amylus715,838,1001,1033,1304,1360,1448,1603
      15Osmanthus fragransRhinoceros/Osmanthus720,1004,1157,1193,1308,1361,1445,1524,1605,1666
      16Ixora chinensis LamRubiaceae/Genus longboat556,708,842,1001,1030,1168,1202,1441,1603,1651
      17Flowering plumRosaceae/Peach413,576,849,1005,1154,1447,1524,1573,1604,1653
      18ViburnumCaprifoliaceae/Viburnum337,415,547,1027,1170,1223,1310,1443,1513,1556,1604
      19VioletCruciferae/Violets382,438,708,896,1001,1035,1097,1122,1152,1378,1450,1600,1666
      20PomegranatePunicaceae/Punica L369,428,514,849,1002,1201,1260,1451,1583,1604,1661
      21CarnationCaryophyllaceae/Dianthus L413,517,565,639,832,1002,1180,1248,1361,1447,1568,1608,1657
      22Pinus parvifloraPinaceae/Pinus547,644,1170,1203,1265,1312,1439,1552,1607,1630
      23Hypericum monogynumGambaraceae/Hypericum417,582,1005,1159,1247,1362,1443,1528,1579,1608,1652
      24MyosotisDay lilies/Forget-me-nots640,843,1001,1033,1065,1171,1225,1302,1361,1440,1604,1661
      25SnapdragonHyacinaceae/Snapdragon645,718,860,1004,1158,1192,1445,1528,1604,1655
      26Yellow flagIris family/Genus iris484,644,716,870,1005,1157,1191,1267,1446,1528,1605,1658
      27Cinnamomum camphoraCamphoraceae/Camphor520,949,1001,1156,1188,1276,1443,1524,1601,1659
      28Oxalis triangularis purpureaSorrel family/Genus sorrel622,1002,1032,1159,1201,1283,1308,1445,1528,1603,1664
    • Table 2. Principal component contribution rate

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      Table 2. Principal component contribution rate

      Principal componentPC1PC2PC3PC4PC5PC6PC7PC8PC9
      Contribution rate /%40.09011.0028.5137.2734.7073.6993.2832.6642.288
    • Table 3. Main Raman characteristic peak positions of 6 intergeneric pollen samples

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      Table 3. Main Raman characteristic peak positions of 6 intergeneric pollen samples

      Category labelNameFamilies/GenusMain Raman characteristic peak /cm-1
      1Prunus lannesianaRosaceae/Sakura417,643,976,1116,1171,1221,1605
      2Photinia serrulataRosaceae/Heather411,577,850,1002,1079,1170,1224,1318,1366,1443,1605,1660
      3Rubus hirsutus ThunbRosaceae/Rubus644,720,844,1000,1171,1231,1312,1447,1606,1660
      4White roseRosaceae/Rosaceae574,873,1003,1156,1281,1444,1518,1655
      5Flowering almondRosaceae/Peach411,577,1003,1075,1157,1278,1444,1525,1569,1607,1654
      6Rosa multiflora ThunbRosaceae/Rosaceae642,872,1003,1156,1281,1443,1519,1603
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    Xinyi Cao, Shangzhong Jin, Bin Hou, Zhihui Chen, Yun Wang. Pollen Detection and Classification Method via Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2020, 57(13): 133001

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    Paper Information

    Category: Spectroscopy

    Received: Aug. 5, 2019

    Accepted: Oct. 8, 2019

    Published Online: Jul. 9, 2020

    The Author Email: Shangzhong Jin (358004378@qq.com)

    DOI:10.3788/LOP57.133001

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