iVOD / 170357

Field Value
IVOD_ID 170357
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170357
日期 2026-07-08
會議資料.會議代碼 委員會-11-5-26-18
會議資料.會議代碼:str 第11屆第5會期社會福利及衛生環境委員會第18次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第5會期社會福利及衛生環境委員會第18次全體委員會議
影片種類 Clip
開始時間 2026-07-08T11:14:57+08:00
結束時間 2026-07-08T11:26:55+08:00
影片長度 00:11:58
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4fafa81be08c821036a471ee0973c8fe8c89d092fec882f4d75944b02079af30913bf80977d0b5285ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 11:14:57 - 11:26:55
會議時間 2026-07-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會第18次全體委員會議(事由:邀請衛生福利部部長、教育部及經濟部就「食安問題爆不停,如何構建使國人安心生活就學與食品廠安全管理精進作為」進行專題報告,並備質詢。 討論事項 審查 一、委員廖偉翔等18人擬具「食品安全衛生管理法第二十四條及第二十五條條文修正草案」案。 二、委員蘇清泉等23人擬具「食品安全衛生管理法第二十二條條文修正草案」案。 三、委員蘇清泉等20人擬具「食品安全衛生管理法第四條條文修正草案」案。 四、委員葛如鈞等22人擬具「食品安全衛生管理法第十五條條文修正草案」案。 五、委員翁曉玲等17人擬具「食品安全衛生管理法第二十二條條文修正草案」案。 六、委員黃健豪等19人擬具「食品安全衛生管理法第五十六條之一條文修正草案」案。 七、委員羅智強等29人擬具「食品安全衛生管理法部分條文修正草案」案。 八、委員黃健豪等16人擬具「食品安全衛生管理法部分條文修正草案」案。 九、委員羅廷瑋等17人擬具「食品安全衛生管理法第十五條條文修正草案」案。 十、台灣民眾黨黨團擬具「食品安全衛生管理法第四十五條條文修正草案」案。 十一、委員魯明哲等16人擬具「食品安全衛生管理法第二十二條條文修正草案」案。 十二、委員王育敏等17人擬具「食品安全衛生管理法部分條文修正草案」案。 十三、委員林倩綺等19人擬具「食品安全衛生管理法第二十二條條文修正草案」案。 十四、委員陳超明等16人擬具「食品安全衛生管理法第五十六條之一條文修正草案」案。 十五、委員黃健豪等23人擬具「食品安全衛生管理法第二十二條、第二十八條及第三十一條之一條文修正草案」案。 十六、委員張嘉郡等28人擬具「食品安全衛生管理法第二十二條條文修正草案」案。 十七、委員王育敏等19人擬具「食品安全衛生管理法第二十八條條文修正草案」案。 【專題報告及討論事項綜合詢答,討論事項僅詢答】 【討論事項第十七案,如經復議則不予審查】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 5.76846875
transcript.pyannote[0].end 7.72596875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 8.11409375
transcript.pyannote[1].end 9.22784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.31221875
transcript.pyannote[2].end 10.71284375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 9.83534375
transcript.pyannote[3].end 11.37096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 11.37096875
transcript.pyannote[4].end 12.16409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.80096875
transcript.pyannote[5].end 13.81784375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 13.81784375
transcript.pyannote[6].end 14.66159375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 17.51346875
transcript.pyannote[7].end 23.30159375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 23.57159375
transcript.pyannote[8].end 31.04721875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 31.57034375
transcript.pyannote[9].end 35.29971875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 35.89034375
transcript.pyannote[10].end 36.80159375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 37.57784375
transcript.pyannote[11].end 41.07096875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 40.58159375
transcript.pyannote[12].end 41.67846875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 41.67846875
transcript.pyannote[13].end 41.96534375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 41.96534375
transcript.pyannote[14].end 43.61909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 44.10846875
transcript.pyannote[15].end 61.69221875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 60.73034375
transcript.pyannote[16].end 66.14721875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 66.28221875
transcript.pyannote[17].end 69.04971875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 68.57721875
transcript.pyannote[18].end 68.86409375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 69.50534375
transcript.pyannote[19].end 74.11221875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 69.85971875
transcript.pyannote[20].end 71.69909375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 74.11221875
transcript.pyannote[21].end 79.02284375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 79.02284375
transcript.pyannote[22].end 79.25909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 79.25909375
transcript.pyannote[23].end 79.41096875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 79.41096875
transcript.pyannote[24].end 82.88721875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 83.41034375
transcript.pyannote[25].end 88.87784375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 89.45159375
transcript.pyannote[26].end 90.81846875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 90.80159375
transcript.pyannote[27].end 91.29096875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 90.97034375
transcript.pyannote[28].end 93.40034375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 93.83909375
transcript.pyannote[29].end 97.06221875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 97.45034375
transcript.pyannote[30].end 101.78721875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 100.23471875
transcript.pyannote[31].end 105.06096875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 102.24284375
transcript.pyannote[32].end 104.97659375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 105.06096875
transcript.pyannote[33].end 111.40596875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 109.97159375
transcript.pyannote[34].end 110.12346875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 110.29221875
transcript.pyannote[35].end 110.34284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 110.56221875
transcript.pyannote[36].end 115.33784375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 114.19034375
transcript.pyannote[37].end 118.69596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 117.53159375
transcript.pyannote[38].end 123.75846875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 119.01659375
transcript.pyannote[39].end 120.02909375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 121.24409375
transcript.pyannote[40].end 121.73346875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 124.04534375
transcript.pyannote[41].end 124.18034375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 124.72034375
transcript.pyannote[42].end 131.84159375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 132.36471875
transcript.pyannote[43].end 133.22534375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 133.39409375
transcript.pyannote[44].end 134.33909375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 134.72721875
transcript.pyannote[45].end 135.08159375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 136.26284375
transcript.pyannote[46].end 137.14034375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 138.00096875
transcript.pyannote[47].end 145.34159375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 146.08409375
transcript.pyannote[48].end 149.50971875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 150.01596875
transcript.pyannote[49].end 150.47159375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 150.94409375
transcript.pyannote[50].end 152.46284375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 153.47534375
transcript.pyannote[51].end 159.28034375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 161.23784375
transcript.pyannote[52].end 170.36721875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 171.37971875
transcript.pyannote[53].end 173.45534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 174.77159375
transcript.pyannote[54].end 185.25096875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 186.22971875
transcript.pyannote[55].end 186.44909375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 186.93846875
transcript.pyannote[56].end 187.64721875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 188.27159375
transcript.pyannote[57].end 189.41909375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 190.14471875
transcript.pyannote[58].end 195.67971875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 196.20284375
transcript.pyannote[59].end 197.65409375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 198.10971875
transcript.pyannote[60].end 201.90659375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 202.41284375
transcript.pyannote[61].end 204.45471875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 205.38284375
transcript.pyannote[62].end 208.48784375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 208.63971875
transcript.pyannote[63].end 213.01034375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 213.43221875
transcript.pyannote[64].end 220.97534375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 221.65034375
transcript.pyannote[65].end 222.74721875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 223.20284375
transcript.pyannote[66].end 225.36284375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 226.18971875
transcript.pyannote[67].end 229.48034375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 230.17221875
transcript.pyannote[68].end 230.76284375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 233.91846875
transcript.pyannote[69].end 234.32346875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 235.03221875
transcript.pyannote[70].end 246.05159375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 238.23846875
transcript.pyannote[71].end 239.28471875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 246.11909375
transcript.pyannote[72].end 250.55721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 248.54909375
transcript.pyannote[73].end 249.54471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 250.55721875
transcript.pyannote[74].end 250.59096875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 250.59096875
transcript.pyannote[75].end 250.74284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 250.74284375
transcript.pyannote[76].end 260.12534375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 251.63721875
transcript.pyannote[77].end 252.59909375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 260.12534375
transcript.pyannote[78].end 260.14221875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 260.66534375
transcript.pyannote[79].end 260.68221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 260.68221875
transcript.pyannote[80].end 267.76971875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 268.30971875
transcript.pyannote[81].end 283.29471875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 284.52659375
transcript.pyannote[82].end 294.31409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 287.86784375
transcript.pyannote[83].end 288.44159375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 294.93846875
transcript.pyannote[84].end 295.74846875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 296.11971875
transcript.pyannote[85].end 303.93284375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 304.59096875
transcript.pyannote[86].end 306.51471875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 307.12221875
transcript.pyannote[87].end 311.62784375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 312.03284375
transcript.pyannote[88].end 312.75846875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 312.96096875
transcript.pyannote[89].end 317.24721875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 317.83784375
transcript.pyannote[90].end 323.94659375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 324.41909375
transcript.pyannote[91].end 326.44409375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 327.86159375
transcript.pyannote[92].end 334.39221875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 336.01221875
transcript.pyannote[93].end 337.24409375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 337.76721875
transcript.pyannote[94].end 346.93034375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 343.35284375
transcript.pyannote[95].end 343.36971875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 347.52096875
transcript.pyannote[96].end 349.39409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 349.57971875
transcript.pyannote[97].end 350.74409375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 351.03096875
transcript.pyannote[98].end 366.23534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 366.30284375
transcript.pyannote[99].end 366.75846875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 366.74159375
transcript.pyannote[100].end 367.65284375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 369.30659375
transcript.pyannote[101].end 370.50471875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 370.84221875
transcript.pyannote[102].end 373.10346875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 373.71096875
transcript.pyannote[103].end 374.95971875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 375.71909375
transcript.pyannote[104].end 376.41096875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 376.96784375
transcript.pyannote[105].end 377.65971875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 377.89596875
transcript.pyannote[106].end 378.60471875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 379.49909375
transcript.pyannote[107].end 382.95846875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 383.26221875
transcript.pyannote[108].end 384.24096875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 384.73034375
transcript.pyannote[109].end 389.42159375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 389.92784375
transcript.pyannote[110].end 394.83846875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 396.07034375
transcript.pyannote[111].end 399.85034375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 400.60971875
transcript.pyannote[112].end 411.40971875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 411.96659375
transcript.pyannote[113].end 416.69159375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 416.97846875
transcript.pyannote[114].end 422.63159375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 423.55971875
transcript.pyannote[115].end 424.48784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 424.82534375
transcript.pyannote[116].end 424.97721875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 424.97721875
transcript.pyannote[117].end 425.02784375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 425.02784375
transcript.pyannote[118].end 425.46659375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 425.46659375
transcript.pyannote[119].end 425.70284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 426.04034375
transcript.pyannote[120].end 439.38846875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 432.31784375
transcript.pyannote[121].end 432.80721875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 439.38846875
transcript.pyannote[122].end 448.93971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 439.42221875
transcript.pyannote[123].end 440.55284375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 448.60221875
transcript.pyannote[124].end 452.23034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 452.68596875
transcript.pyannote[125].end 456.31409375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 457.02284375
transcript.pyannote[126].end 469.22346875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 469.00409375
transcript.pyannote[127].end 481.64346875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 482.23409375
transcript.pyannote[128].end 484.05659375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 484.22534375
transcript.pyannote[129].end 485.33909375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 485.87909375
transcript.pyannote[130].end 487.75221875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 488.52846875
transcript.pyannote[131].end 493.37159375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 493.82721875
transcript.pyannote[132].end 496.25721875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 497.21909375
transcript.pyannote[133].end 500.13846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 497.26971875
transcript.pyannote[134].end 497.89409375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 498.53534375
transcript.pyannote[135].end 498.99096875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 500.54346875
transcript.pyannote[136].end 505.62284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 506.31471875
transcript.pyannote[137].end 509.16659375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 509.16659375
transcript.pyannote[138].end 516.47346875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 517.06409375
transcript.pyannote[139].end 519.27471875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 519.27471875
transcript.pyannote[140].end 519.29159375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 520.18596875
transcript.pyannote[141].end 520.75971875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 520.75971875
transcript.pyannote[142].end 520.77659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 521.09721875
transcript.pyannote[143].end 521.99159375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 522.56534375
transcript.pyannote[144].end 533.98971875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 534.74909375
transcript.pyannote[145].end 537.31409375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 537.44909375
transcript.pyannote[146].end 540.63846875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 539.82846875
transcript.pyannote[147].end 540.23346875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 541.19534375
transcript.pyannote[148].end 542.68034375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 542.84909375
transcript.pyannote[149].end 551.32034375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 552.11346875
transcript.pyannote[150].end 555.50534375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 555.74159375
transcript.pyannote[151].end 557.74971875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 557.07471875
transcript.pyannote[152].end 558.23909375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 558.49221875
transcript.pyannote[153].end 560.68596875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 562.57596875
transcript.pyannote[154].end 565.39409375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 565.95096875
transcript.pyannote[155].end 572.02596875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 572.43096875
transcript.pyannote[156].end 577.99971875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 578.50596875
transcript.pyannote[157].end 582.08346875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 582.40409375
transcript.pyannote[158].end 591.65159375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 591.68534375
transcript.pyannote[159].end 594.60471875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 595.85346875
transcript.pyannote[160].end 599.02596875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 599.54909375
transcript.pyannote[161].end 608.76284375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 610.07909375
transcript.pyannote[162].end 612.01971875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 612.82971875
transcript.pyannote[163].end 613.26846875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 614.21346875
transcript.pyannote[164].end 614.24721875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 614.28096875
transcript.pyannote[165].end 614.29784375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 614.29784375
transcript.pyannote[166].end 619.25909375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 619.76534375
transcript.pyannote[167].end 623.66346875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 624.60846875
transcript.pyannote[168].end 625.03034375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 625.03034375
transcript.pyannote[169].end 625.04721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 625.18221875
transcript.pyannote[170].end 635.93159375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 631.61159375
transcript.pyannote[171].end 631.88159375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 636.25221875
transcript.pyannote[172].end 639.35721875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 636.74159375
transcript.pyannote[173].end 637.36596875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 637.39971875
transcript.pyannote[174].end 638.05784375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 639.35721875
transcript.pyannote[175].end 639.39096875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 639.91409375
transcript.pyannote[176].end 657.36284375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 647.72721875
transcript.pyannote[177].end 648.03096875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 648.03096875
transcript.pyannote[178].end 648.33471875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 648.50346875
transcript.pyannote[179].end 648.60471875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 651.40596875
transcript.pyannote[180].end 651.74346875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 654.03846875
transcript.pyannote[181].end 655.21971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 657.36284375
transcript.pyannote[182].end 657.81846875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 657.95346875
transcript.pyannote[183].end 658.34159375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 658.34159375
transcript.pyannote[184].end 658.42596875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 658.56096875
transcript.pyannote[185].end 658.61159375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 658.61159375
transcript.pyannote[186].end 658.66221875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 658.66221875
transcript.pyannote[187].end 658.67909375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 658.67909375
transcript.pyannote[188].end 663.10034375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 658.79721875
transcript.pyannote[189].end 659.55659375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 660.77159375
transcript.pyannote[190].end 667.52159375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 664.93971875
transcript.pyannote[191].end 665.17596875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 667.65659375
transcript.pyannote[192].end 670.89659375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 671.41971875
transcript.pyannote[193].end 673.81596875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 673.96784375
transcript.pyannote[194].end 674.99721875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 675.21659375
transcript.pyannote[195].end 675.30096875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 675.45284375
transcript.pyannote[196].end 677.02221875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 677.59596875
transcript.pyannote[197].end 681.29159375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 681.61221875
transcript.pyannote[198].end 685.71284375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 685.98284375
transcript.pyannote[199].end 689.61096875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 689.83034375
transcript.pyannote[200].end 695.82096875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 690.31971875
transcript.pyannote[201].end 690.57284375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 696.14159375
transcript.pyannote[202].end 696.15846875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 696.15846875
transcript.pyannote[203].end 701.06909375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 701.22096875
transcript.pyannote[204].end 701.42346875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 701.87909375
transcript.pyannote[205].end 704.49471875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 702.46971875
transcript.pyannote[206].end 706.60409375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 708.34221875
transcript.pyannote[207].end 712.18971875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 712.34159375
transcript.pyannote[208].end 713.32034375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 713.50596875
transcript.pyannote[209].end 713.82659375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 714.06284375
transcript.pyannote[210].end 714.70409375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 714.83909375
transcript.pyannote[211].end 715.14284375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 715.26096875
transcript.pyannote[212].end 716.64471875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 716.10471875
transcript.pyannote[213].end 717.15096875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 717.89346875
transcript.pyannote[214].end 719.04096875
transcript.whisperx[0].start 5.799
transcript.whisperx[0].end 11.347
transcript.whisperx[0].text 好 謝謝 謝謝主席我請最辛苦的部長我請市長兩部長還有食藥署署長好 蘇委員好
transcript.whisperx[1].start 19.398
transcript.whisperx[1].end 41.071
transcript.whisperx[1].text 我幾個問題請教 第一就是我們現在在夜市 菜市場在吃回鍋油 炸油 解退的那些油回收回來 現在那些油的動向是去哪裡 怎麼回收是去做工業用 還是去做消毀 這邊一規定是消毀
transcript.whisperx[2].start 44.273
transcript.whisperx[2].end 61.992
transcript.whisperx[2].text 就是這一批我們講的這些油因為這個夜市用的這個炸油都是比較大容量的所以一家都是被我們要求要下架回收啦回收之後呢才有一個處置的原則我講現在全台灣的夜市下架的油
transcript.whisperx[3].start 66.657
transcript.whisperx[3].end 78.944
transcript.whisperx[3].text 每天這樣回收一種這些油平常的啦 平常的油啦 都外出去了那是跟環保署在處理他有一個再利用的循環
transcript.whisperx[4].start 79.83
transcript.whisperx[4].end 94.826
transcript.whisperx[4].text 再利用是弄到工業區還是弄到什麼區因為上次食安出問題上一次就是因為回收再製產生一大堆問題那現在施工配置不一樣所以這裡一樣也是在產生這裡的油現在是
transcript.whisperx[5].start 97.529
transcript.whisperx[5].end 115.88
transcript.whisperx[5].text 怎麼做 不然你再查一下好不好就是平常日常家的 日常的用途整個台灣的鴨子這麼不得了呢或是說他們在炸回鍋的啊重複用的這些不能再用了我們再跟環保 這個環境部了解一下這種會銷毀 我是不太相信 應該是轉到國內不是銷毀 我說有問題的才是銷毀 應該是循環
transcript.whisperx[6].start 124.765
transcript.whisperx[6].end 151.677
transcript.whisperx[6].text 那因為這樣所以後來食安法就修改說所有的油類都要原始的譬如說大豆油葵花油、棕櫚油、菜籽油等等這些都要原始的原料起來只是說像你沙拉油一定要用大豆拿出來好啦那這一次的問題
transcript.whisperx[7].start 153.53
transcript.whisperx[7].end 159.056
transcript.whisperx[7].text 就是原始的大豆放大豆出來加熱,也是很大件事這兩天我請教很多專家有馬里蘭的,有密西根的,有台灣的,師大他們說兩個,一個是
transcript.whisperx[8].start 174.813
transcript.whisperx[8].end 184.978
transcript.whisperx[8].text 我們在加熱的過程中250度到350度加熱那些有機物會自己游離出來然後本跟本會結合所以這個是五個本
transcript.whisperx[9].start 186.263
transcript.whisperx[9].end 203.88
transcript.whisperx[9].text 那看起來這個C20H12那如果有加上OH的話它是很穩定的喔那個是沒有辦法從有上面再把它拿出來是拿不出來喔所以唯一只有銷毀喔
transcript.whisperx[10].start 205.464
transcript.whisperx[10].end 230.279
transcript.whisperx[10].text 所以普天府你可能這間也有很多啦我是覺得做醫生在補這個我覺得很累所以你現在這些東西我就一直想說能不能從油裡面有這種汙染物能不能把它萃取出來結果是沒辦法所以唯一就像你說的那些消費而已那消費是怎麼消費就拿去火化爐就把它燒掉是這樣嗎
transcript.whisperx[11].start 235.517
transcript.whisperx[11].end 259.959
transcript.whisperx[11].text 不能流入這些食物鏈是確定的但是是不是可以做燃料,這另外一個顆爐啦做燃料也是一個顆爐啦反正成機油啦,所以把它造化因為像這一次這個油供應的時候也會供應到塑膠製造在那個塑膠製造過程中有怎麼用到,有大豆油
transcript.whisperx[12].start 260.92
transcript.whisperx[12].end 282.845
transcript.whisperx[12].text 另外一個我們衛生部一直講說是在加熱過程中製造過程中自己產生的這些本類的化合物但是也有人懷疑是從剛剛一開始我有提到我們這次中聯油脂中聯油脂這間公司是剛才說的五間公司大家合資去成立的
transcript.whisperx[13].start 285.546
transcript.whisperx[13].end 306.076
transcript.whisperx[13].text 這五間,中油這五間,是它的投資者,所以很複雜,部長你也搞不清楚啦。不管如何,就是說它藉著過程中是有汙染的,那這個是原始的大豆,因為有化學的專家認為,這個是在巴西就出問題。
transcript.whisperx[14].start 307.176
transcript.whisperx[14].end 325.928
transcript.whisperx[14].text 因為它要潮濕,還有遇到雨季,這陶瓦淋上去運送過程那麼久,所以它會用高溫加熱那高溫加熱是燒什麼?燒油用油燒燒起,把黃豆烘乾就對了我們烘切的也是用油烘的油烘的肉去烘,烘切的,切完以後就卡
transcript.whisperx[15].start 336.072
transcript.whisperx[15].end 346.588
transcript.whisperx[15].text 那有的是用煤炭燒然後吹進去熱氣煤炭燃燒不完全嘛現在有幾乎都黏著在
transcript.whisperx[16].start 347.894
transcript.whisperx[16].end 367.29
transcript.whisperx[16].text 黃豆的殼上面,這是有可能的喔你把萃取的生氣放到我身上就出事了所以這個可能性也很大中聯說他現在是該用巴西的黃豆,以前是美國的黃豆這個也有可能的,署長你也要去查看到底這是不是中
transcript.whisperx[17].start 369.712
transcript.whisperx[17].end 394.689
transcript.whisperx[17].text 這個來源有問題 再來你在煉油的過程中你為了要脫膠 脫澀 脫酸 脫臭你還有加一些有加什麼東西沒有 只是用熱 把它塞出來而已看到多立原本 多立原本是怎麼來的多立原本是那個管子要加熱 那管子裡面是多立原本因為多立原本是很穩定的
transcript.whisperx[18].start 396.124
transcript.whisperx[18].end 422.159
transcript.whisperx[18].text 加到一千度都沒有問題的 結果那個是管子破掉那多利涼比較滲到食用油裡面去是這樣出事的 吃了大家都頭痛痛的所以這是歷史這樣一波一波來的 大家都痛苦的經驗所以我要問你的就是說在這個脫膠 脫色 脫臭 脫酸這個四個步驟你是只有用加熱 還是它有加添加劑
transcript.whisperx[19].start 425.153
transcript.whisperx[19].end 451.492
transcript.whisperx[19].text 是用正極丸在萃正極丸在萃另外就是因為有脫臭的時候會加白土所以那個會變成是缺氧的狀態特別這個部分我們也在蓋他的製成所以在缺氧的狀態下他這有幾乎就又自己合成是不是這樣是這樣來嗎你到目前的了解我目前的了解從前面的豆子第二個是脫氣
transcript.whisperx[20].start 453.543
transcript.whisperx[20].end 481.381
transcript.whisperx[20].text 脫臭的過程跟脫色的過程當中因為高溫加上低壓真空的狀態都有可能讓他理論上是製程會讓百分之八十會降下來我們希望能夠確定他的製程能夠改進也是我們在教他做修正這個我想比較重要不然的話將來層次不窮啦不然這比什麼更重要再來第二輪的這五家公司他們接受到這個油之後他們有沒有混油
transcript.whisperx[21].start 482.282
transcript.whisperx[21].end 495.529
transcript.whisperx[21].text 因為我看他們的成本不一樣啊他們有沒有混友第二個他們自己去抽菸有的是合標的有的是多兩倍的有的多四倍的像那個什麼多四倍的那個給你們通報那一家什麼陳輝龍 南橋這間就說四倍為什麼會標 都外送來是自己檢驗室做的
transcript.whisperx[22].start 506.7
transcript.whisperx[22].end 524.111
transcript.whisperx[22].text 有自願的檢驗室也有外送結果出來怎麼差那麼多 有的是可貴 有的是一倍 有的是四倍 怕死人 要信對頭所以我就沒補 有補是不是這樣 這件是不是這樣這位是驗出來都有超標對啦 但是沒補啦你說他們自主檢驗的部分有驗到超標 但是沒什麼補
transcript.whisperx[23].start 534.79
transcript.whisperx[23].end 559.229
transcript.whisperx[23].text 沒有跟主管機關通報啦是跟他的上游業者通報啊上游的話也沒有馬上跟主管機關通報自己又再驗一次啊直到驗到後面真的是超標啊通報就一定六月三十號啊所以已經吵個一、二個月啊所以吃這麼久啊
transcript.whisperx[24].start 562.711
transcript.whisperx[24].end 563.312
transcript.whisperx[24].text 所以我會問你一個很重要的問題
transcript.whisperx[25].start 566.664
transcript.whisperx[25].end 590.197
transcript.whisperx[25].text 這些這樣一直的製程都是這樣那就是今天這一攤百坑啊如果沒有 平常茶要加一杯啦 加兩杯啦這個這個這個Mensopurine PyreneMensopurine P-A-V-A-P嘛Mensopurine國際繁殖 繁殖也是三萬元的啊這有這麼不合分的 繁殖要誰拿出來啦全台灣我看不到幾個人拿出來這個名
transcript.whisperx[26].start 595.902
transcript.whisperx[26].end 616.95
transcript.whisperx[26].text 每一次都用很艱深的中文很奇怪我的意思就是說這過程中如果都沒有驗出來或是說高一點點或是說這個東西本來就有在這個食用油裡面那這我們長期吃有沒有問題 法定人物代謝46小時 72小時就代謝掉但是這樣長期會不會對肝臟對腎臟有問題會不會常常說一級之愛會不會怕死人
transcript.whisperx[27].start 625.617
transcript.whisperx[27].end 633.549
transcript.whisperx[27].text 所以這也是我們在2017年訂出這個標準的啦這之前也沒有 這個標準也是2017年訂出來的 2018年才開始蓋這個東西的
transcript.whisperx[28].start 640.18
transcript.whisperx[28].end 664.584
transcript.whisperx[28].text 所以你現在用的是什麼2.1ppb2.0ppbppb嘛 如果這個安堵這個液體就OK那吃下去也是有問題可是我們的器官 強壯的器官把它代謝掉是不是這樣 它也是會代謝嘛它是會代謝 沒有錯因為那個是蠻穩定的化合物 蠻穩定的
transcript.whisperx[29].start 667.83
transcript.whisperx[29].end 688.926
transcript.whisperx[29].text 那如果他有再加上兩個OHG的話,他會跟那個DNA的雙骨剛好都卡住,那是引起突變的所以這個是蠻嚴重的事情,所以不一定,這痛定思痛啦對啊怪人怪事沒什麼意思,但是一定要看得到怎麼防範
transcript.whisperx[30].start 692.008
transcript.whisperx[30].end 718.578
transcript.whisperx[30].text 我們從這個經驗裡面去強化未來的慣例啦2017之前沒有驗2017之前我們搞不好吃了30年了對嗎對 2017年我吃30年我吃30年就沒有事了就算了我們越健康越好啦就盡量避免接觸這樣好 部長加油好 謝謝謝謝蘇清泉委員的諮詢